Creator · szarkans
Last updated · Aug 28, 2026
>-
Sandbox only
Creator · szarkans
Last updated · Aug 28, 2026
>-
Sandbox only
Creator · szarkans
Last updated · Aug 28, 2026
>-
Sandbox only
Creator · szarkans
Last updated · Aug 28, 2026
>-
Sandbox only
Install targets
Codex install prompt
Install the "code-review" agent skill from https://github.com/szarkans/multi/tree/main/skills/code-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"szarkans-multi-code-review","task":"Install code-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add szarkans/multi --skill code-review
Maintenance
fresh
2d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
4
61/100 Quality · 70/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
4 GitHub stars
Repo activity
4 stars, 1 forks
Maintenance
2d since push
License
MIT
Install
npx skills add szarkans/multi --skill code-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add szarkans/multi --skill code-reviewDo not use when
Alternative
40.4K Stars
npx skills add PatrickJS/awesome-cursorrules
Alternative
637 Stars
npx skills add sandbaseai/sandbase-harness --skill code-review
Alternative
11 Stars
npx skills add Bilalkhan4086/Skills-Learning
Alternative
1 Stars
npx skills add TidyFactor/Doc --skill tidyfactor-doc
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/szarkans-multi-code-review/install
Agent should check
Copy prompt
Task: Use code-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/szarkans-multi-code-review/install
Install command: npx skills add szarkans/multi --skill code-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/szarkans-multi-code-review/install
LLM text format
/api/skills/szarkans-multi-code-review/install?format=text
Find alternatives
/api/skills/search?q=code-review&limit=3
Agent prompt
Use code-review for this task. Review https://www.openagentskill.com/api/skills/szarkans-multi-code-review/install, then install with: npx skills add szarkans/multi --skill code-reviewRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/szarkans-multi-code-review
LLM text
/api/registry/manifest/szarkans-multi-code-review?format=text
Install alias
/api/registry/install/szarkans-multi-code-review
Recommend
/api/registry/recommend?task=Use%20code-review%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX4 GitHub stars
Stars/forks activity
FIX4 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
A curated collection of cursor rules for various frameworks and technologies
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
TidyFactor Doc — code documentation builder and dual-engine publishing platform (MkDocs Material & Docsify). Interviews codebases (source comments, Git history, env requirements, error patterns) to generate accurate, maintainable docs under /docs — API references, READMEs, inline comments, and technical guides. Supports interactive doc portal generation with static compilation (MkDocs Material with native Arabic RTL i18n & Neo-Brutalist themes) or zero-build lightweight SPAs (Docsify). Trigger on commands "init", "collect", "generate", "site", "mkdocs", "docsify", or requests like "document this repo", "write API docs", "generate a README", "add JSDoc/PHPDoc", "publish doc portal", "set up MkDocs", "set up Docsify". Has stack-specific rules for PHP, JavaScript, TypeScript, React/Vue/Next.
--- name: code-review description: >- Code review by several models at once — Claude sub-agents, OpenAI Codex, and a cheap third reviewer via OpenCode — reconciled into one report. Reviews whatever is named: a diff, a branch, specific files, one function, a legacy module, a whole repo. Use for any review request, a second or third opinion, a cross-check before a PR, or "code-review", "multi", "consensus review". allowed-tools: Bash, Read, Grep, Glob, Agent, TodoWrite argument-hint: "[what to review, in words] [lite|normal|ultra] [haiku|sonnet|opus|fable] [low|medium|high|xhigh|max]" ---
# Multi-model code review
!`sh -c 'for p in "$CLAUDE_PLUGIN_ROOT/scripts" "$HOME/.claude/skills/multi/scripts" "./.claude/skills/multi/scripts"; do [ -x "$p/probe.sh" ] && { "$p/probe.sh"; echo "scripts-dir: $p"; exit 0; }; done; echo "probe: NOT FOUND — locate scripts/probe.sh in this plugin and run it yourself"'`
Several models read the same code, and you decide what reaches the user. That is the whole idea: one model invents problems and walks past real ones, and you cannot tell which from a single report. Independent models disagree, and the disagreement is the signal.
You are the judge, not a dispatcher. The reviewers propose; they do not vote, and none of them gets the last word. When they conflict, open the code and decide.
This is normally reached at the end of a session — work is done, PR or push comes next. Act like it: the question is "is this ready", not "here are some observations".
`$SCRIPTS` below is whatever the probe printed as `scripts-dir:`.
## The gate
From the probe lines above — they are already there, do not re-run it.
**No second reviewer family → stop.** This is multi-model review; the review pipeline can run two non-Claude families, Codex and OpenCode — without at least one of them there is nothing here that a single-model review does not already do. OpenRouter and Gemini are real second families, but this pipeline cannot run them as reviewers yet: they serve `/multi:ask`, not this skill. Say which is missing and point at `/multi:setup`. Do not quietly deliver a one-model review wearing a three-model label.
Anything else missing is a note, not a stop: no OpenCode, no ponytail, not a git repo (fine — then the target is files, not a diff). Name what was missing in the report and carry on.
Whatever is missing, point them at `/multi:setup` to connect it — it walks through this step by step and does not need them to know any of the above.
## Decide what you are reviewing
**Whatever the user named.** A diff, a branch, two files, one function, a line range, a module nobody has touched in three years, the whole repository. There is no fixed vocabulary here and no menu — read what they wrote and work out what they mean, the way a colleague would.
When nothing was named, in this order:
1. **What this session was about.** If you just wrote or changed something, that is the target — you know which files, what the task was, where you were unsure, what you fixed blind. That is better than a diff, which in a dirty tree also holds debug leftovers and unrelated edits, and which misses the old code the change leans on. 2. **The branch**, if it is ahead of main and the tree is clean. 3. **The uncommitted diff** otherwise.
Ask only when the answer genuinely changes what gets reviewed and you cannot tell — dirty tree *and* they mentioned a PR, say. Never open with a questionnaire: this skill runs at the end of a session, sometimes inside an autonomous run, and three questions there are worse than a wrong guess you announced. Guess, say what you guessed, let them correct you.
Whatever you settle on, resolve it into **concrete paths, or a concrete git range, before dispatching**. Every reviewer must look at the same thing — otherwise "two of them agreed" means nothing, they just happened to read the same file. If the target is vague, resolve it and say what you resolved it to.
## Say what you are about to do
**Always, before launching anything.** Short, then go — this is not a request for permission, and you do not wait for an answer:
``` Reviewing: <target, and where it came from — "what we just did", "branch vs main", "you asked for src/auth.py"> <when $REPO is not the session's own checkout, show the resolved path so a wrong-tree review is caught before it runs> Running now: Codex <effort> · OpenCode <model> · ponytail <— or why one is missing Then: <what decides the Claude spend> ```
If they wanted something else they will say so, and interrupting is cheaper than an interrogation.
## Launch everything free, immediately
Codex, OpenCode and the ponytail lens cost nothing per run and take 30–70 seconds wall clock. There is never a reason to hold them back or make them conditional on a mode. Start the two external ones **in the background, both at once** — OpenCode spends about a minute just warming up — and do everything else while they run.
```bash RUN="$($SCRIPTS/run-dir.sh --slug <two-to-four words: the project and the job, e.g. skills-fixing-multi>)"
# The tree under review. Usually the session's own repo; set REVIEW_DIR to a # path or a different worktree when THAT is the target. Resolve it once and hand # it to every backend: cwd resets between these blocks, so without an explicit # --repo the reviewers silently read the session checkout and can "agree" on an # empty diff. REPO="$(git -C "${REVIEW_DIR:-.}" rev-parse --show-toplevel)"
$SCRIPTS/collect-context.sh --repo "$REPO" [--diff <spec>] [--paths "<paths>"] > "$RUN/ctx.md"
$SCRIPTS/review-prompt.sh --repo "$REPO" --target "<in words>" [--diff <spec>] [--paths "<paths>"] \ [--focus "<user text>"] --context "$RUN/ctx.md" > "$RUN/review.prompt.md" $SCRIPTS/ask.sh --repo "$REPO" --question-file "$RUN/review.prompt.md" --out-prefix "$RUN/review" \ --backend "codex,opencode:<model from probe>" --fallback <from probe> \ --effort <low|medium|high|xhigh|max> --timeout "${MULTI_REVIEW_TIMEOUT:-900}" ```
`run-dir.sh` prints this session's own directory, `/tmp/multi/<session>--<slug>`, and creates it. Two sessions reviewing at once used to share fixed `/tmp` names and overwrite each other's files. Shell variables do not survive between commands, so repeat that first line — and the `REPO=` line — in every later block that needs them; `--slug` only labels the directory the first time, so a different wording later still lands in the same place. Runs older than a week are swept.
`--diff` is what makes it a *change* review; leave it off and the reviewers read the actual code instead, with old code fully in scope. `--paths` narrows hard. `--target` is always required — it is the human sentence, and it is what keeps the reviewers pointed at the same thing. `--repo` is the *directory* they work in; it defaults to cwd, so you only think about it when the target is a different worktree, but passing `$REPO` always is free and removes the guesswork.
The probe at the top of this file ran with no `--repo`, so its `repo:`, branch, dirty-file and ahead-of-main numbers describe the **session checkout**. When `$REPO` is a different worktree, those numbers are for the wrong tree — re-run `$SCRIPTS/probe.sh --repo "$REPO"` to orient on the real target before you trust them.
`collect-context.sh` gathers the repo's `CLAUDE.md`/`AGENTS.md` and the `.claude/rules/*.md` matching the target, and every reviewer gets it. This is what separates this from three models guessing: an external reviewer that does not know the project's settled decisions spends its findings re-litigating them.
**The ponytail lens** — invoke the `ponytail:ponytail-review` skill on the same target whenever the probe found it. It hunts one thing, over-engineering, and that keeps the defect reviewers out of matters of taste entirely (see below). Its findings are a different kind of thing and never mix with defects: they get their own section and cannot corroborate or contradict a bug.
> If ponytail mode is *active*, its `SubagentStart` hook injects the YAGNI > ruleset into every sub-agent, including the ones hunting bugs. If findings > start reading like simplification advice, that is why; `PONYTAIL_SUBAGENT_MATCHER` > is the fix. Mention it once, move on.
## Then decide how much Claude to spend
The external reviewers are free; your sub-agents are the user's money. So do not guess the depth up front — **wait for the free results and decide on evidence**. A two-line change both reviewers called clean does not need three sub-agents. A change where Codex reports two HIGH and OpenCode disagrees with one of them does.
Say the decision in one line when you make it: *"going to normal — Codex found two HIGH, OpenCode contradicts one."*
An explicitly named mode skips all of this. Obey it.
| | Claude sub-agents | when | |---|---|---| | `lite` | `correctness` only | small, low-risk, external reviewers agree and found little | | `normal` *(default)* | `correctness` · `security` · `design` | anything heading for a PR | | `ultra` | those three, plus `execution`, plus an adversarial second Codex pass (`--adversarial`), plus one `verify` per single-source finding | expensive to get wrong, or asked for |
The adversarial pass needs Codex specifically; without it, `ultra` runs without that pass — the rest of the mode is unchanged.
Spawn them **in parallel, in one message**. Give each the target, the paths or range, the contents of `$RUN/ctx.md`, and the user's own words if there were any. Give them `$REPO` too and say it plainly — *run git and read files in `$REPO`, not your current directory* — because a sub-agent starts in the session checkout, and if the target is another worktree it would otherwise review the wrong tree, exactly as the CLI backends would without `--repo`.
**Model**: the argument if given, else `MULTI_REVIEWER_MODEL` from the probe, else the agent files' default (Sonnet). **No mode raises it on its own** — `ultra` buys depth through more angles and real verification, not a bigger model.
**`ultra` is not a deeper code review — it reviews whether the task got done.** Was there a plan and was it followed; is the thing actually finished or only finished-looking; what was silently skipped; what will detonate later. That needs the task context — the plan, the spec, the conversation. Hand `execution` what you actually know about the job. Without any of that, `ultra` degrades to `normal` plus an architecture angle, and you should say so rather than pretend.
## Judge
Normalize everything to `{file, line, severity, claim}`. Codex and OpenCode both answer the unified review prompt as `FILE:LINE | HIGH|MEDIUM|LOW | reason`, with repo-relative paths. OpenCode's file has two parts: `## <model>` listing every tool call it made, then `## Answer` with what it wrote in that unified format. Sub-agents report `FILE:LINE | SEVERITY | confidence NN` with two lines under it.
**Read OpenCode's call list before its findings.** It is there to answer one question: did this reviewer actually look at the code it is talking about? A finding about a file that never appears in the call list was invented, and it goes in `Dropped`. `(none — this reviewer answered without opening anything)` means the whole report is guesswork. `NO ANSWER` means it ran and said nothing: that reviewer was absent, say so as `Codex/Opencode FAILED: <reason>` from the one-line text in `*.dead` rather than reading silence as agreement.
Bucket by *the underlying problem*, not by wording — the same bug gets three different descriptions:
- **Corroborated** — two or more reviewers from different families (Claude / Codex / OpenCode). Leads the report; independent agreement is the strongest evidence this pipeline produces. - **Single-source** — one reviewer. Check each before the user sees it: open the cited lines, confirm it is real and reachable. In `ultra`, spawn one `verify` per finding instead an
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for code-review, ready for a manual X post.
A practical pick for the next repo task: code-review: >- 4 stars https://www.openagentskill.com/skills/szarkans-multi-code-review?ref=x
Listing + install path for code-review: https://www.openagentskill.com/skills/szarkans-multi-code-review?ref=x Install: npx skills add szarkans/multi --skill code-review
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Agent submitted listing is attributed to szarkans but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/szarkans-multi-code-review)
[](https://www.openagentskill.com/skills/szarkans-multi-code-review)
[](https://www.openagentskill.com/skills/szarkans-multi-code-review/audit)
[](https://www.openagentskill.com/skills/szarkans-multi-code-review)Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Cursor Rules
A curated collection of cursor rules for various frameworks and technologies
40.4K Starscode-review
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
637 StarsSkills Learning
11 Starstidyfactor-doc
TidyFactor Doc — code documentation builder and dual-engine publishing platform (MkDocs Material & Docsify). Interviews codebases (source comments, Git history, env requirements, error patterns) to generate accurate, maintainable docs under /docs — API references, READMEs, inline comments, and technical guides. Supports interactive doc portal generation with static compilation (MkDocs Material with native Arabic RTL i18n & Neo-Brutalist themes) or zero-build lightweight SPAs (Docsify). Trigger on commands "init", "collect", "generate", "site", "mkdocs", "docsify", or requests like "document this repo", "write API docs", "generate a README", "add JSDoc/PHPDoc", "publish doc portal", "set up MkDocs", "set up Docsify". Has stack-specific rules for PHP, JavaScript, TypeScript, React/Vue/Next.
1 StarsInstall targets
Codex install prompt
Install the "code-review" agent skill from https://github.com/szarkans/multi/tree/main/skills/code-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"szarkans-multi-code-review","task":"Install code-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add szarkans/multi --skill code-review
Maintenance
fresh
2d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
4
61/100 Quality · 70/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
4 GitHub stars
Repo activity
4 stars, 1 forks
Maintenance
2d since push
License
MIT
Install
npx skills add szarkans/multi --skill code-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add szarkans/multi --skill code-reviewDo not use when
Alternative
40.4K Stars
npx skills add PatrickJS/awesome-cursorrules
Alternative
637 Stars
npx skills add sandbaseai/sandbase-harness --skill code-review
Alternative
11 Stars
npx skills add Bilalkhan4086/Skills-Learning
Alternative
1 Stars
npx skills add TidyFactor/Doc --skill tidyfactor-doc
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/szarkans-multi-code-review/install
Agent should check
Copy prompt
Task: Use code-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/szarkans-multi-code-review/install
Install command: npx skills add szarkans/multi --skill code-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/szarkans-multi-code-review/install
LLM text format
/api/skills/szarkans-multi-code-review/install?format=text
Find alternatives
/api/skills/search?q=code-review&limit=3
Agent prompt
Use code-review for this task. Review https://www.openagentskill.com/api/skills/szarkans-multi-code-review/install, then install with: npx skills add szarkans/multi --skill code-reviewRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/szarkans-multi-code-review
LLM text
/api/registry/manifest/szarkans-multi-code-review?format=text
Install alias
/api/registry/install/szarkans-multi-code-review
Recommend
/api/registry/recommend?task=Use%20code-review%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX4 GitHub stars
Stars/forks activity
FIX4 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
A curated collection of cursor rules for various frameworks and technologies
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
TidyFactor Doc — code documentation builder and dual-engine publishing platform (MkDocs Material & Docsify). Interviews codebases (source comments, Git history, env requirements, error patterns) to generate accurate, maintainable docs under /docs — API references, READMEs, inline comments, and technical guides. Supports interactive doc portal generation with static compilation (MkDocs Material with native Arabic RTL i18n & Neo-Brutalist themes) or zero-build lightweight SPAs (Docsify). Trigger on commands "init", "collect", "generate", "site", "mkdocs", "docsify", or requests like "document this repo", "write API docs", "generate a README", "add JSDoc/PHPDoc", "publish doc portal", "set up MkDocs", "set up Docsify". Has stack-specific rules for PHP, JavaScript, TypeScript, React/Vue/Next.
--- name: code-review description: >- Code review by several models at once — Claude sub-agents, OpenAI Codex, and a cheap third reviewer via OpenCode — reconciled into one report. Reviews whatever is named: a diff, a branch, specific files, one function, a legacy module, a whole repo. Use for any review request, a second or third opinion, a cross-check before a PR, or "code-review", "multi", "consensus review". allowed-tools: Bash, Read, Grep, Glob, Agent, TodoWrite argument-hint: "[what to review, in words] [lite|normal|ultra] [haiku|sonnet|opus|fable] [low|medium|high|xhigh|max]" ---
# Multi-model code review
!`sh -c 'for p in "$CLAUDE_PLUGIN_ROOT/scripts" "$HOME/.claude/skills/multi/scripts" "./.claude/skills/multi/scripts"; do [ -x "$p/probe.sh" ] && { "$p/probe.sh"; echo "scripts-dir: $p"; exit 0; }; done; echo "probe: NOT FOUND — locate scripts/probe.sh in this plugin and run it yourself"'`
Several models read the same code, and you decide what reaches the user. That is the whole idea: one model invents problems and walks past real ones, and you cannot tell which from a single report. Independent models disagree, and the disagreement is the signal.
You are the judge, not a dispatcher. The reviewers propose; they do not vote, and none of them gets the last word. When they conflict, open the code and decide.
This is normally reached at the end of a session — work is done, PR or push comes next. Act like it: the question is "is this ready", not "here are some observations".
`$SCRIPTS` below is whatever the probe printed as `scripts-dir:`.
## The gate
From the probe lines above — they are already there, do not re-run it.
**No second reviewer family → stop.** This is multi-model review; the review pipeline can run two non-Claude families, Codex and OpenCode — without at least one of them there is nothing here that a single-model review does not already do. OpenRouter and Gemini are real second families, but this pipeline cannot run them as reviewers yet: they serve `/multi:ask`, not this skill. Say which is missing and point at `/multi:setup`. Do not quietly deliver a one-model review wearing a three-model label.
Anything else missing is a note, not a stop: no OpenCode, no ponytail, not a git repo (fine — then the target is files, not a diff). Name what was missing in the report and carry on.
Whatever is missing, point them at `/multi:setup` to connect it — it walks through this step by step and does not need them to know any of the above.
## Decide what you are reviewing
**Whatever the user named.** A diff, a branch, two files, one function, a line range, a module nobody has touched in three years, the whole repository. There is no fixed vocabulary here and no menu — read what they wrote and work out what they mean, the way a colleague would.
When nothing was named, in this order:
1. **What this session was about.** If you just wrote or changed something, that is the target — you know which files, what the task was, where you were unsure, what you fixed blind. That is better than a diff, which in a dirty tree also holds debug leftovers and unrelated edits, and which misses the old code the change leans on. 2. **The branch**, if it is ahead of main and the tree is clean. 3. **The uncommitted diff** otherwise.
Ask only when the answer genuinely changes what gets reviewed and you cannot tell — dirty tree *and* they mentioned a PR, say. Never open with a questionnaire: this skill runs at the end of a session, sometimes inside an autonomous run, and three questions there are worse than a wrong guess you announced. Guess, say what you guessed, let them correct you.
Whatever you settle on, resolve it into **concrete paths, or a concrete git range, before dispatching**. Every reviewer must look at the same thing — otherwise "two of them agreed" means nothing, they just happened to read the same file. If the target is vague, resolve it and say what you resolved it to.
## Say what you are about to do
**Always, before launching anything.** Short, then go — this is not a request for permission, and you do not wait for an answer:
``` Reviewing: <target, and where it came from — "what we just did", "branch vs main", "you asked for src/auth.py"> <when $REPO is not the session's own checkout, show the resolved path so a wrong-tree review is caught before it runs> Running now: Codex <effort> · OpenCode <model> · ponytail <— or why one is missing Then: <what decides the Claude spend> ```
If they wanted something else they will say so, and interrupting is cheaper than an interrogation.
## Launch everything free, immediately
Codex, OpenCode and the ponytail lens cost nothing per run and take 30–70 seconds wall clock. There is never a reason to hold them back or make them conditional on a mode. Start the two external ones **in the background, both at once** — OpenCode spends about a minute just warming up — and do everything else while they run.
```bash RUN="$($SCRIPTS/run-dir.sh --slug <two-to-four words: the project and the job, e.g. skills-fixing-multi>)"
# The tree under review. Usually the session's own repo; set REVIEW_DIR to a # path or a different worktree when THAT is the target. Resolve it once and hand # it to every backend: cwd resets between these blocks, so without an explicit # --repo the reviewers silently read the session checkout and can "agree" on an # empty diff. REPO="$(git -C "${REVIEW_DIR:-.}" rev-parse --show-toplevel)"
$SCRIPTS/collect-context.sh --repo "$REPO" [--diff <spec>] [--paths "<paths>"] > "$RUN/ctx.md"
$SCRIPTS/review-prompt.sh --repo "$REPO" --target "<in words>" [--diff <spec>] [--paths "<paths>"] \ [--focus "<user text>"] --context "$RUN/ctx.md" > "$RUN/review.prompt.md" $SCRIPTS/ask.sh --repo "$REPO" --question-file "$RUN/review.prompt.md" --out-prefix "$RUN/review" \ --backend "codex,opencode:<model from probe>" --fallback <from probe> \ --effort <low|medium|high|xhigh|max> --timeout "${MULTI_REVIEW_TIMEOUT:-900}" ```
`run-dir.sh` prints this session's own directory, `/tmp/multi/<session>--<slug>`, and creates it. Two sessions reviewing at once used to share fixed `/tmp` names and overwrite each other's files. Shell variables do not survive between commands, so repeat that first line — and the `REPO=` line — in every later block that needs them; `--slug` only labels the directory the first time, so a different wording later still lands in the same place. Runs older than a week are swept.
`--diff` is what makes it a *change* review; leave it off and the reviewers read the actual code instead, with old code fully in scope. `--paths` narrows hard. `--target` is always required — it is the human sentence, and it is what keeps the reviewers pointed at the same thing. `--repo` is the *directory* they work in; it defaults to cwd, so you only think about it when the target is a different worktree, but passing `$REPO` always is free and removes the guesswork.
The probe at the top of this file ran with no `--repo`, so its `repo:`, branch, dirty-file and ahead-of-main numbers describe the **session checkout**. When `$REPO` is a different worktree, those numbers are for the wrong tree — re-run `$SCRIPTS/probe.sh --repo "$REPO"` to orient on the real target before you trust them.
`collect-context.sh` gathers the repo's `CLAUDE.md`/`AGENTS.md` and the `.claude/rules/*.md` matching the target, and every reviewer gets it. This is what separates this from three models guessing: an external reviewer that does not know the project's settled decisions spends its findings re-litigating them.
**The ponytail lens** — invoke the `ponytail:ponytail-review` skill on the same target whenever the probe found it. It hunts one thing, over-engineering, and that keeps the defect reviewers out of matters of taste entirely (see below). Its findings are a different kind of thing and never mix with defects: they get their own section and cannot corroborate or contradict a bug.
> If ponytail mode is *active*, its `SubagentStart` hook injects the YAGNI > ruleset into every sub-agent, including the ones hunting bugs. If findings > start reading like simplification advice, that is why; `PONYTAIL_SUBAGENT_MATCHER` > is the fix. Mention it once, move on.
## Then decide how much Claude to spend
The external reviewers are free; your sub-agents are the user's money. So do not guess the depth up front — **wait for the free results and decide on evidence**. A two-line change both reviewers called clean does not need three sub-agents. A change where Codex reports two HIGH and OpenCode disagrees with one of them does.
Say the decision in one line when you make it: *"going to normal — Codex found two HIGH, OpenCode contradicts one."*
An explicitly named mode skips all of this. Obey it.
| | Claude sub-agents | when | |---|---|---| | `lite` | `correctness` only | small, low-risk, external reviewers agree and found little | | `normal` *(default)* | `correctness` · `security` · `design` | anything heading for a PR | | `ultra` | those three, plus `execution`, plus an adversarial second Codex pass (`--adversarial`), plus one `verify` per single-source finding | expensive to get wrong, or asked for |
The adversarial pass needs Codex specifically; without it, `ultra` runs without that pass — the rest of the mode is unchanged.
Spawn them **in parallel, in one message**. Give each the target, the paths or range, the contents of `$RUN/ctx.md`, and the user's own words if there were any. Give them `$REPO` too and say it plainly — *run git and read files in `$REPO`, not your current directory* — because a sub-agent starts in the session checkout, and if the target is another worktree it would otherwise review the wrong tree, exactly as the CLI backends would without `--repo`.
**Model**: the argument if given, else `MULTI_REVIEWER_MODEL` from the probe, else the agent files' default (Sonnet). **No mode raises it on its own** — `ultra` buys depth through more angles and real verification, not a bigger model.
**`ultra` is not a deeper code review — it reviews whether the task got done.** Was there a plan and was it followed; is the thing actually finished or only finished-looking; what was silently skipped; what will detonate later. That needs the task context — the plan, the spec, the conversation. Hand `execution` what you actually know about the job. Without any of that, `ultra` degrades to `normal` plus an architecture angle, and you should say so rather than pretend.
## Judge
Normalize everything to `{file, line, severity, claim}`. Codex and OpenCode both answer the unified review prompt as `FILE:LINE | HIGH|MEDIUM|LOW | reason`, with repo-relative paths. OpenCode's file has two parts: `## <model>` listing every tool call it made, then `## Answer` with what it wrote in that unified format. Sub-agents report `FILE:LINE | SEVERITY | confidence NN` with two lines under it.
**Read OpenCode's call list before its findings.** It is there to answer one question: did this reviewer actually look at the code it is talking about? A finding about a file that never appears in the call list was invented, and it goes in `Dropped`. `(none — this reviewer answered without opening anything)` means the whole report is guesswork. `NO ANSWER` means it ran and said nothing: that reviewer was absent, say so as `Codex/Opencode FAILED: <reason>` from the one-line text in `*.dead` rather than reading silence as agreement.
Bucket by *the underlying problem*, not by wording — the same bug gets three different descriptions:
- **Corroborated** — two or more reviewers from different families (Claude / Codex / OpenCode). Leads the report; independent agreement is the strongest evidence this pipeline produces. - **Single-source** — one reviewer. Check each before the user sees it: open the cited lines, confirm it is real and reachable. In `ultra`, spawn one `verify` per finding instead an
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for code-review, ready for a manual X post.
A practical pick for the next repo task: code-review: >- 4 stars https://www.openagentskill.com/skills/szarkans-multi-code-review?ref=x
Listing + install path for code-review: https://www.openagentskill.com/skills/szarkans-multi-code-review?ref=x Install: npx skills add szarkans/multi --skill code-review
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Agent submitted listing is attributed to szarkans but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/szarkans-multi-code-review)
[](https://www.openagentskill.com/skills/szarkans-multi-code-review)
[](https://www.openagentskill.com/skills/szarkans-multi-code-review/audit)
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Sandbox only
Cursor Rules
A curated collection of cursor rules for various frameworks and technologies
40.4K Starscode-review
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
637 StarsSkills Learning
11 Starstidyfactor-doc
TidyFactor Doc — code documentation builder and dual-engine publishing platform (MkDocs Material & Docsify). Interviews codebases (source comments, Git history, env requirements, error patterns) to generate accurate, maintainable docs under /docs — API references, READMEs, inline comments, and technical guides. Supports interactive doc portal generation with static compilation (MkDocs Material with native Arabic RTL i18n & Neo-Brutalist themes) or zero-build lightweight SPAs (Docsify). Trigger on commands "init", "collect", "generate", "site", "mkdocs", "docsify", or requests like "document this repo", "write API docs", "generate a README", "add JSDoc/PHPDoc", "publish doc portal", "set up MkDocs", "set up Docsify". Has stack-specific rules for PHP, JavaScript, TypeScript, React/Vue/Next.
1 StarsInstall targets
Codex install prompt
Install the "code-review" agent skill from https://github.com/szarkans/multi/tree/main/skills/code-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"szarkans-multi-code-review","task":"Install code-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add szarkans/multi --skill code-review
Maintenance
fresh
2d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
4
61/100 Quality · 70/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
4 GitHub stars
Repo activity
4 stars, 1 forks
Maintenance
2d since push
License
MIT
Install
npx skills add szarkans/multi --skill code-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add szarkans/multi --skill code-reviewDo not use when
Alternative
40.4K Stars
npx skills add PatrickJS/awesome-cursorrules
Alternative
637 Stars
npx skills add sandbaseai/sandbase-harness --skill code-review
Alternative
11 Stars
npx skills add Bilalkhan4086/Skills-Learning
Alternative
1 Stars
npx skills add TidyFactor/Doc --skill tidyfactor-doc
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/szarkans-multi-code-review/install
Agent should check
Copy prompt
Task: Use code-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/szarkans-multi-code-review/install
Install command: npx skills add szarkans/multi --skill code-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/szarkans-multi-code-review/install
LLM text format
/api/skills/szarkans-multi-code-review/install?format=text
Find alternatives
/api/skills/search?q=code-review&limit=3
Agent prompt
Use code-review for this task. Review https://www.openagentskill.com/api/skills/szarkans-multi-code-review/install, then install with: npx skills add szarkans/multi --skill code-reviewRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/szarkans-multi-code-review
LLM text
/api/registry/manifest/szarkans-multi-code-review?format=text
Install alias
/api/registry/install/szarkans-multi-code-review
Recommend
/api/registry/recommend?task=Use%20code-review%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX4 GitHub stars
Stars/forks activity
FIX4 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
A curated collection of cursor rules for various frameworks and technologies
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
TidyFactor Doc — code documentation builder and dual-engine publishing platform (MkDocs Material & Docsify). Interviews codebases (source comments, Git history, env requirements, error patterns) to generate accurate, maintainable docs under /docs — API references, READMEs, inline comments, and technical guides. Supports interactive doc portal generation with static compilation (MkDocs Material with native Arabic RTL i18n & Neo-Brutalist themes) or zero-build lightweight SPAs (Docsify). Trigger on commands "init", "collect", "generate", "site", "mkdocs", "docsify", or requests like "document this repo", "write API docs", "generate a README", "add JSDoc/PHPDoc", "publish doc portal", "set up MkDocs", "set up Docsify". Has stack-specific rules for PHP, JavaScript, TypeScript, React/Vue/Next.
--- name: code-review description: >- Code review by several models at once — Claude sub-agents, OpenAI Codex, and a cheap third reviewer via OpenCode — reconciled into one report. Reviews whatever is named: a diff, a branch, specific files, one function, a legacy module, a whole repo. Use for any review request, a second or third opinion, a cross-check before a PR, or "code-review", "multi", "consensus review". allowed-tools: Bash, Read, Grep, Glob, Agent, TodoWrite argument-hint: "[what to review, in words] [lite|normal|ultra] [haiku|sonnet|opus|fable] [low|medium|high|xhigh|max]" ---
# Multi-model code review
!`sh -c 'for p in "$CLAUDE_PLUGIN_ROOT/scripts" "$HOME/.claude/skills/multi/scripts" "./.claude/skills/multi/scripts"; do [ -x "$p/probe.sh" ] && { "$p/probe.sh"; echo "scripts-dir: $p"; exit 0; }; done; echo "probe: NOT FOUND — locate scripts/probe.sh in this plugin and run it yourself"'`
Several models read the same code, and you decide what reaches the user. That is the whole idea: one model invents problems and walks past real ones, and you cannot tell which from a single report. Independent models disagree, and the disagreement is the signal.
You are the judge, not a dispatcher. The reviewers propose; they do not vote, and none of them gets the last word. When they conflict, open the code and decide.
This is normally reached at the end of a session — work is done, PR or push comes next. Act like it: the question is "is this ready", not "here are some observations".
`$SCRIPTS` below is whatever the probe printed as `scripts-dir:`.
## The gate
From the probe lines above — they are already there, do not re-run it.
**No second reviewer family → stop.** This is multi-model review; the review pipeline can run two non-Claude families, Codex and OpenCode — without at least one of them there is nothing here that a single-model review does not already do. OpenRouter and Gemini are real second families, but this pipeline cannot run them as reviewers yet: they serve `/multi:ask`, not this skill. Say which is missing and point at `/multi:setup`. Do not quietly deliver a one-model review wearing a three-model label.
Anything else missing is a note, not a stop: no OpenCode, no ponytail, not a git repo (fine — then the target is files, not a diff). Name what was missing in the report and carry on.
Whatever is missing, point them at `/multi:setup` to connect it — it walks through this step by step and does not need them to know any of the above.
## Decide what you are reviewing
**Whatever the user named.** A diff, a branch, two files, one function, a line range, a module nobody has touched in three years, the whole repository. There is no fixed vocabulary here and no menu — read what they wrote and work out what they mean, the way a colleague would.
When nothing was named, in this order:
1. **What this session was about.** If you just wrote or changed something, that is the target — you know which files, what the task was, where you were unsure, what you fixed blind. That is better than a diff, which in a dirty tree also holds debug leftovers and unrelated edits, and which misses the old code the change leans on. 2. **The branch**, if it is ahead of main and the tree is clean. 3. **The uncommitted diff** otherwise.
Ask only when the answer genuinely changes what gets reviewed and you cannot tell — dirty tree *and* they mentioned a PR, say. Never open with a questionnaire: this skill runs at the end of a session, sometimes inside an autonomous run, and three questions there are worse than a wrong guess you announced. Guess, say what you guessed, let them correct you.
Whatever you settle on, resolve it into **concrete paths, or a concrete git range, before dispatching**. Every reviewer must look at the same thing — otherwise "two of them agreed" means nothing, they just happened to read the same file. If the target is vague, resolve it and say what you resolved it to.
## Say what you are about to do
**Always, before launching anything.** Short, then go — this is not a request for permission, and you do not wait for an answer:
``` Reviewing: <target, and where it came from — "what we just did", "branch vs main", "you asked for src/auth.py"> <when $REPO is not the session's own checkout, show the resolved path so a wrong-tree review is caught before it runs> Running now: Codex <effort> · OpenCode <model> · ponytail <— or why one is missing Then: <what decides the Claude spend> ```
If they wanted something else they will say so, and interrupting is cheaper than an interrogation.
## Launch everything free, immediately
Codex, OpenCode and the ponytail lens cost nothing per run and take 30–70 seconds wall clock. There is never a reason to hold them back or make them conditional on a mode. Start the two external ones **in the background, both at once** — OpenCode spends about a minute just warming up — and do everything else while they run.
```bash RUN="$($SCRIPTS/run-dir.sh --slug <two-to-four words: the project and the job, e.g. skills-fixing-multi>)"
# The tree under review. Usually the session's own repo; set REVIEW_DIR to a # path or a different worktree when THAT is the target. Resolve it once and hand # it to every backend: cwd resets between these blocks, so without an explicit # --repo the reviewers silently read the session checkout and can "agree" on an # empty diff. REPO="$(git -C "${REVIEW_DIR:-.}" rev-parse --show-toplevel)"
$SCRIPTS/collect-context.sh --repo "$REPO" [--diff <spec>] [--paths "<paths>"] > "$RUN/ctx.md"
$SCRIPTS/review-prompt.sh --repo "$REPO" --target "<in words>" [--diff <spec>] [--paths "<paths>"] \ [--focus "<user text>"] --context "$RUN/ctx.md" > "$RUN/review.prompt.md" $SCRIPTS/ask.sh --repo "$REPO" --question-file "$RUN/review.prompt.md" --out-prefix "$RUN/review" \ --backend "codex,opencode:<model from probe>" --fallback <from probe> \ --effort <low|medium|high|xhigh|max> --timeout "${MULTI_REVIEW_TIMEOUT:-900}" ```
`run-dir.sh` prints this session's own directory, `/tmp/multi/<session>--<slug>`, and creates it. Two sessions reviewing at once used to share fixed `/tmp` names and overwrite each other's files. Shell variables do not survive between commands, so repeat that first line — and the `REPO=` line — in every later block that needs them; `--slug` only labels the directory the first time, so a different wording later still lands in the same place. Runs older than a week are swept.
`--diff` is what makes it a *change* review; leave it off and the reviewers read the actual code instead, with old code fully in scope. `--paths` narrows hard. `--target` is always required — it is the human sentence, and it is what keeps the reviewers pointed at the same thing. `--repo` is the *directory* they work in; it defaults to cwd, so you only think about it when the target is a different worktree, but passing `$REPO` always is free and removes the guesswork.
The probe at the top of this file ran with no `--repo`, so its `repo:`, branch, dirty-file and ahead-of-main numbers describe the **session checkout**. When `$REPO` is a different worktree, those numbers are for the wrong tree — re-run `$SCRIPTS/probe.sh --repo "$REPO"` to orient on the real target before you trust them.
`collect-context.sh` gathers the repo's `CLAUDE.md`/`AGENTS.md` and the `.claude/rules/*.md` matching the target, and every reviewer gets it. This is what separates this from three models guessing: an external reviewer that does not know the project's settled decisions spends its findings re-litigating them.
**The ponytail lens** — invoke the `ponytail:ponytail-review` skill on the same target whenever the probe found it. It hunts one thing, over-engineering, and that keeps the defect reviewers out of matters of taste entirely (see below). Its findings are a different kind of thing and never mix with defects: they get their own section and cannot corroborate or contradict a bug.
> If ponytail mode is *active*, its `SubagentStart` hook injects the YAGNI > ruleset into every sub-agent, including the ones hunting bugs. If findings > start reading like simplification advice, that is why; `PONYTAIL_SUBAGENT_MATCHER` > is the fix. Mention it once, move on.
## Then decide how much Claude to spend
The external reviewers are free; your sub-agents are the user's money. So do not guess the depth up front — **wait for the free results and decide on evidence**. A two-line change both reviewers called clean does not need three sub-agents. A change where Codex reports two HIGH and OpenCode disagrees with one of them does.
Say the decision in one line when you make it: *"going to normal — Codex found two HIGH, OpenCode contradicts one."*
An explicitly named mode skips all of this. Obey it.
| | Claude sub-agents | when | |---|---|---| | `lite` | `correctness` only | small, low-risk, external reviewers agree and found little | | `normal` *(default)* | `correctness` · `security` · `design` | anything heading for a PR | | `ultra` | those three, plus `execution`, plus an adversarial second Codex pass (`--adversarial`), plus one `verify` per single-source finding | expensive to get wrong, or asked for |
The adversarial pass needs Codex specifically; without it, `ultra` runs without that pass — the rest of the mode is unchanged.
Spawn them **in parallel, in one message**. Give each the target, the paths or range, the contents of `$RUN/ctx.md`, and the user's own words if there were any. Give them `$REPO` too and say it plainly — *run git and read files in `$REPO`, not your current directory* — because a sub-agent starts in the session checkout, and if the target is another worktree it would otherwise review the wrong tree, exactly as the CLI backends would without `--repo`.
**Model**: the argument if given, else `MULTI_REVIEWER_MODEL` from the probe, else the agent files' default (Sonnet). **No mode raises it on its own** — `ultra` buys depth through more angles and real verification, not a bigger model.
**`ultra` is not a deeper code review — it reviews whether the task got done.** Was there a plan and was it followed; is the thing actually finished or only finished-looking; what was silently skipped; what will detonate later. That needs the task context — the plan, the spec, the conversation. Hand `execution` what you actually know about the job. Without any of that, `ultra` degrades to `normal` plus an architecture angle, and you should say so rather than pretend.
## Judge
Normalize everything to `{file, line, severity, claim}`. Codex and OpenCode both answer the unified review prompt as `FILE:LINE | HIGH|MEDIUM|LOW | reason`, with repo-relative paths. OpenCode's file has two parts: `## <model>` listing every tool call it made, then `## Answer` with what it wrote in that unified format. Sub-agents report `FILE:LINE | SEVERITY | confidence NN` with two lines under it.
**Read OpenCode's call list before its findings.** It is there to answer one question: did this reviewer actually look at the code it is talking about? A finding about a file that never appears in the call list was invented, and it goes in `Dropped`. `(none — this reviewer answered without opening anything)` means the whole report is guesswork. `NO ANSWER` means it ran and said nothing: that reviewer was absent, say so as `Codex/Opencode FAILED: <reason>` from the one-line text in `*.dead` rather than reading silence as agreement.
Bucket by *the underlying problem*, not by wording — the same bug gets three different descriptions:
- **Corroborated** — two or more reviewers from different families (Claude / Codex / OpenCode). Leads the report; independent agreement is the strongest evidence this pipeline produces. - **Single-source** — one reviewer. Check each before the user sees it: open the cited lines, confirm it is real and reachable. In `ultra`, spawn one `verify` per finding instead an
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for code-review, ready for a manual X post.
A practical pick for the next repo task: code-review: >- 4 stars https://www.openagentskill.com/skills/szarkans-multi-code-review?ref=x
Listing + install path for code-review: https://www.openagentskill.com/skills/szarkans-multi-code-review?ref=x Install: npx skills add szarkans/multi --skill code-review
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Sandbox only
Cursor Rules
A curated collection of cursor rules for various frameworks and technologies
40.4K Starscode-review
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
637 StarsSkills Learning
11 Starstidyfactor-doc
TidyFactor Doc — code documentation builder and dual-engine publishing platform (MkDocs Material & Docsify). Interviews codebases (source comments, Git history, env requirements, error patterns) to generate accurate, maintainable docs under /docs — API references, READMEs, inline comments, and technical guides. Supports interactive doc portal generation with static compilation (MkDocs Material with native Arabic RTL i18n & Neo-Brutalist themes) or zero-build lightweight SPAs (Docsify). Trigger on commands "init", "collect", "generate", "site", "mkdocs", "docsify", or requests like "document this repo", "write API docs", "generate a README", "add JSDoc/PHPDoc", "publish doc portal", "set up MkDocs", "set up Docsify". Has stack-specific rules for PHP, JavaScript, TypeScript, React/Vue/Next.
1 StarsInstall targets
Codex install prompt
Install the "code-review" agent skill from https://github.com/szarkans/multi/tree/main/skills/code-review. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: >- After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"szarkans-multi-code-review","task":"Install code-review","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add szarkans/multi --skill code-review
Maintenance
fresh
2d since push
Risk
Needs review
Low GitHub adoption signal
GitHub quality
4
61/100 Quality · 70/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
4 GitHub stars
Repo activity
4 stars, 1 forks
Maintenance
2d since push
License
MIT
Install
npx skills add szarkans/multi --skill code-review
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add szarkans/multi --skill code-reviewDo not use when
Alternative
40.4K Stars
npx skills add PatrickJS/awesome-cursorrules
Alternative
637 Stars
npx skills add sandbaseai/sandbase-harness --skill code-review
Alternative
11 Stars
npx skills add Bilalkhan4086/Skills-Learning
Alternative
1 Stars
npx skills add TidyFactor/Doc --skill tidyfactor-doc
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/szarkans-multi-code-review/install
Agent should check
Copy prompt
Task: Use code-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/szarkans-multi-code-review/install
Install command: npx skills add szarkans/multi --skill code-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/szarkans-multi-code-review/install
LLM text format
/api/skills/szarkans-multi-code-review/install?format=text
Find alternatives
/api/skills/search?q=code-review&limit=3
Agent prompt
Use code-review for this task. Review https://www.openagentskill.com/api/skills/szarkans-multi-code-review/install, then install with: npx skills add szarkans/multi --skill code-reviewRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/szarkans-multi-code-review
LLM text
/api/registry/manifest/szarkans-multi-code-review?format=text
Install alias
/api/registry/install/szarkans-multi-code-review
Recommend
/api/registry/recommend?task=Use%20code-review%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX4 GitHub stars
Stars/forks activity
FIX4 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
A curated collection of cursor rules for various frameworks and technologies
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
TidyFactor Doc — code documentation builder and dual-engine publishing platform (MkDocs Material & Docsify). Interviews codebases (source comments, Git history, env requirements, error patterns) to generate accurate, maintainable docs under /docs — API references, READMEs, inline comments, and technical guides. Supports interactive doc portal generation with static compilation (MkDocs Material with native Arabic RTL i18n & Neo-Brutalist themes) or zero-build lightweight SPAs (Docsify). Trigger on commands "init", "collect", "generate", "site", "mkdocs", "docsify", or requests like "document this repo", "write API docs", "generate a README", "add JSDoc/PHPDoc", "publish doc portal", "set up MkDocs", "set up Docsify". Has stack-specific rules for PHP, JavaScript, TypeScript, React/Vue/Next.
--- name: code-review description: >- Code review by several models at once — Claude sub-agents, OpenAI Codex, and a cheap third reviewer via OpenCode — reconciled into one report. Reviews whatever is named: a diff, a branch, specific files, one function, a legacy module, a whole repo. Use for any review request, a second or third opinion, a cross-check before a PR, or "code-review", "multi", "consensus review". allowed-tools: Bash, Read, Grep, Glob, Agent, TodoWrite argument-hint: "[what to review, in words] [lite|normal|ultra] [haiku|sonnet|opus|fable] [low|medium|high|xhigh|max]" ---
# Multi-model code review
!`sh -c 'for p in "$CLAUDE_PLUGIN_ROOT/scripts" "$HOME/.claude/skills/multi/scripts" "./.claude/skills/multi/scripts"; do [ -x "$p/probe.sh" ] && { "$p/probe.sh"; echo "scripts-dir: $p"; exit 0; }; done; echo "probe: NOT FOUND — locate scripts/probe.sh in this plugin and run it yourself"'`
Several models read the same code, and you decide what reaches the user. That is the whole idea: one model invents problems and walks past real ones, and you cannot tell which from a single report. Independent models disagree, and the disagreement is the signal.
You are the judge, not a dispatcher. The reviewers propose; they do not vote, and none of them gets the last word. When they conflict, open the code and decide.
This is normally reached at the end of a session — work is done, PR or push comes next. Act like it: the question is "is this ready", not "here are some observations".
`$SCRIPTS` below is whatever the probe printed as `scripts-dir:`.
## The gate
From the probe lines above — they are already there, do not re-run it.
**No second reviewer family → stop.** This is multi-model review; the review pipeline can run two non-Claude families, Codex and OpenCode — without at least one of them there is nothing here that a single-model review does not already do. OpenRouter and Gemini are real second families, but this pipeline cannot run them as reviewers yet: they serve `/multi:ask`, not this skill. Say which is missing and point at `/multi:setup`. Do not quietly deliver a one-model review wearing a three-model label.
Anything else missing is a note, not a stop: no OpenCode, no ponytail, not a git repo (fine — then the target is files, not a diff). Name what was missing in the report and carry on.
Whatever is missing, point them at `/multi:setup` to connect it — it walks through this step by step and does not need them to know any of the above.
## Decide what you are reviewing
**Whatever the user named.** A diff, a branch, two files, one function, a line range, a module nobody has touched in three years, the whole repository. There is no fixed vocabulary here and no menu — read what they wrote and work out what they mean, the way a colleague would.
When nothing was named, in this order:
1. **What this session was about.** If you just wrote or changed something, that is the target — you know which files, what the task was, where you were unsure, what you fixed blind. That is better than a diff, which in a dirty tree also holds debug leftovers and unrelated edits, and which misses the old code the change leans on. 2. **The branch**, if it is ahead of main and the tree is clean. 3. **The uncommitted diff** otherwise.
Ask only when the answer genuinely changes what gets reviewed and you cannot tell — dirty tree *and* they mentioned a PR, say. Never open with a questionnaire: this skill runs at the end of a session, sometimes inside an autonomous run, and three questions there are worse than a wrong guess you announced. Guess, say what you guessed, let them correct you.
Whatever you settle on, resolve it into **concrete paths, or a concrete git range, before dispatching**. Every reviewer must look at the same thing — otherwise "two of them agreed" means nothing, they just happened to read the same file. If the target is vague, resolve it and say what you resolved it to.
## Say what you are about to do
**Always, before launching anything.** Short, then go — this is not a request for permission, and you do not wait for an answer:
``` Reviewing: <target, and where it came from — "what we just did", "branch vs main", "you asked for src/auth.py"> <when $REPO is not the session's own checkout, show the resolved path so a wrong-tree review is caught before it runs> Running now: Codex <effort> · OpenCode <model> · ponytail <— or why one is missing Then: <what decides the Claude spend> ```
If they wanted something else they will say so, and interrupting is cheaper than an interrogation.
## Launch everything free, immediately
Codex, OpenCode and the ponytail lens cost nothing per run and take 30–70 seconds wall clock. There is never a reason to hold them back or make them conditional on a mode. Start the two external ones **in the background, both at once** — OpenCode spends about a minute just warming up — and do everything else while they run.
```bash RUN="$($SCRIPTS/run-dir.sh --slug <two-to-four words: the project and the job, e.g. skills-fixing-multi>)"
# The tree under review. Usually the session's own repo; set REVIEW_DIR to a # path or a different worktree when THAT is the target. Resolve it once and hand # it to every backend: cwd resets between these blocks, so without an explicit # --repo the reviewers silently read the session checkout and can "agree" on an # empty diff. REPO="$(git -C "${REVIEW_DIR:-.}" rev-parse --show-toplevel)"
$SCRIPTS/collect-context.sh --repo "$REPO" [--diff <spec>] [--paths "<paths>"] > "$RUN/ctx.md"
$SCRIPTS/review-prompt.sh --repo "$REPO" --target "<in words>" [--diff <spec>] [--paths "<paths>"] \ [--focus "<user text>"] --context "$RUN/ctx.md" > "$RUN/review.prompt.md" $SCRIPTS/ask.sh --repo "$REPO" --question-file "$RUN/review.prompt.md" --out-prefix "$RUN/review" \ --backend "codex,opencode:<model from probe>" --fallback <from probe> \ --effort <low|medium|high|xhigh|max> --timeout "${MULTI_REVIEW_TIMEOUT:-900}" ```
`run-dir.sh` prints this session's own directory, `/tmp/multi/<session>--<slug>`, and creates it. Two sessions reviewing at once used to share fixed `/tmp` names and overwrite each other's files. Shell variables do not survive between commands, so repeat that first line — and the `REPO=` line — in every later block that needs them; `--slug` only labels the directory the first time, so a different wording later still lands in the same place. Runs older than a week are swept.
`--diff` is what makes it a *change* review; leave it off and the reviewers read the actual code instead, with old code fully in scope. `--paths` narrows hard. `--target` is always required — it is the human sentence, and it is what keeps the reviewers pointed at the same thing. `--repo` is the *directory* they work in; it defaults to cwd, so you only think about it when the target is a different worktree, but passing `$REPO` always is free and removes the guesswork.
The probe at the top of this file ran with no `--repo`, so its `repo:`, branch, dirty-file and ahead-of-main numbers describe the **session checkout**. When `$REPO` is a different worktree, those numbers are for the wrong tree — re-run `$SCRIPTS/probe.sh --repo "$REPO"` to orient on the real target before you trust them.
`collect-context.sh` gathers the repo's `CLAUDE.md`/`AGENTS.md` and the `.claude/rules/*.md` matching the target, and every reviewer gets it. This is what separates this from three models guessing: an external reviewer that does not know the project's settled decisions spends its findings re-litigating them.
**The ponytail lens** — invoke the `ponytail:ponytail-review` skill on the same target whenever the probe found it. It hunts one thing, over-engineering, and that keeps the defect reviewers out of matters of taste entirely (see below). Its findings are a different kind of thing and never mix with defects: they get their own section and cannot corroborate or contradict a bug.
> If ponytail mode is *active*, its `SubagentStart` hook injects the YAGNI > ruleset into every sub-agent, including the ones hunting bugs. If findings > start reading like simplification advice, that is why; `PONYTAIL_SUBAGENT_MATCHER` > is the fix. Mention it once, move on.
## Then decide how much Claude to spend
The external reviewers are free; your sub-agents are the user's money. So do not guess the depth up front — **wait for the free results and decide on evidence**. A two-line change both reviewers called clean does not need three sub-agents. A change where Codex reports two HIGH and OpenCode disagrees with one of them does.
Say the decision in one line when you make it: *"going to normal — Codex found two HIGH, OpenCode contradicts one."*
An explicitly named mode skips all of this. Obey it.
| | Claude sub-agents | when | |---|---|---| | `lite` | `correctness` only | small, low-risk, external reviewers agree and found little | | `normal` *(default)* | `correctness` · `security` · `design` | anything heading for a PR | | `ultra` | those three, plus `execution`, plus an adversarial second Codex pass (`--adversarial`), plus one `verify` per single-source finding | expensive to get wrong, or asked for |
The adversarial pass needs Codex specifically; without it, `ultra` runs without that pass — the rest of the mode is unchanged.
Spawn them **in parallel, in one message**. Give each the target, the paths or range, the contents of `$RUN/ctx.md`, and the user's own words if there were any. Give them `$REPO` too and say it plainly — *run git and read files in `$REPO`, not your current directory* — because a sub-agent starts in the session checkout, and if the target is another worktree it would otherwise review the wrong tree, exactly as the CLI backends would without `--repo`.
**Model**: the argument if given, else `MULTI_REVIEWER_MODEL` from the probe, else the agent files' default (Sonnet). **No mode raises it on its own** — `ultra` buys depth through more angles and real verification, not a bigger model.
**`ultra` is not a deeper code review — it reviews whether the task got done.** Was there a plan and was it followed; is the thing actually finished or only finished-looking; what was silently skipped; what will detonate later. That needs the task context — the plan, the spec, the conversation. Hand `execution` what you actually know about the job. Without any of that, `ultra` degrades to `normal` plus an architecture angle, and you should say so rather than pretend.
## Judge
Normalize everything to `{file, line, severity, claim}`. Codex and OpenCode both answer the unified review prompt as `FILE:LINE | HIGH|MEDIUM|LOW | reason`, with repo-relative paths. OpenCode's file has two parts: `## <model>` listing every tool call it made, then `## Answer` with what it wrote in that unified format. Sub-agents report `FILE:LINE | SEVERITY | confidence NN` with two lines under it.
**Read OpenCode's call list before its findings.** It is there to answer one question: did this reviewer actually look at the code it is talking about? A finding about a file that never appears in the call list was invented, and it goes in `Dropped`. `(none — this reviewer answered without opening anything)` means the whole report is guesswork. `NO ANSWER` means it ran and said nothing: that reviewer was absent, say so as `Codex/Opencode FAILED: <reason>` from the one-line text in `*.dead` rather than reading silence as agreement.
Bucket by *the underlying problem*, not by wording — the same bug gets three different descriptions:
- **Corroborated** — two or more reviewers from different families (Claude / Codex / OpenCode). Leads the report; independent agreement is the strongest evidence this pipeline produces. - **Single-source** — one reviewer. Check each before the user sees it: open the cited lines, confirm it is real and reachable. In `ultra`, spawn one `verify` per finding instead an
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for code-review, ready for a manual X post.
A practical pick for the next repo task: code-review: >- 4 stars https://www.openagentskill.com/skills/szarkans-multi-code-review?ref=x
Listing + install path for code-review: https://www.openagentskill.com/skills/szarkans-multi-code-review?ref=x Install: npx skills add szarkans/multi --skill code-review
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Agent submitted listing is attributed to szarkans but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Cursor Rules
A curated collection of cursor rules for various frameworks and technologies
40.4K Starscode-review
Reviews a supplied code path or diff for correctness, security, maintainability, and style without executing or modifying it
637 StarsSkills Learning
11 Starstidyfactor-doc
TidyFactor Doc — code documentation builder and dual-engine publishing platform (MkDocs Material & Docsify). Interviews codebases (source comments, Git history, env requirements, error patterns) to generate accurate, maintainable docs under /docs — API references, READMEs, inline comments, and technical guides. Supports interactive doc portal generation with static compilation (MkDocs Material with native Arabic RTL i18n & Neo-Brutalist themes) or zero-build lightweight SPAs (Docsify). Trigger on commands "init", "collect", "generate", "site", "mkdocs", "docsify", or requests like "document this repo", "write API docs", "generate a README", "add JSDoc/PHPDoc", "publish doc portal", "set up MkDocs", "set up Docsify". Has stack-specific rules for PHP, JavaScript, TypeScript, React/Vue/Next.
1 StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Thin public metadata
Risk summary
Install readiness