Creator · trailofbits
Last updated · Sep 1, 2026
Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use
Creator · trailofbits
Last updated · Sep 1, 2026
Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use
Creator · trailofbits
Last updated · Sep 1, 2026
Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use
Creator · trailofbits
Last updated · Sep 1, 2026
Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use
Review then install
Install targets
Codex install prompt
Install the "skill-improver" agent skill from https://github.com/trailofbits/skills/tree/main/plugins/code-improver/skills/skill-improver. 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: Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use to fix skill quality issues, iteratively refine a skill, or resume a loop after an escalation ('fix my skill', 'improve this skill until it passes review', 'skill improvement loop'). NOT for a one-time review — use the plugin-dev skill-reviewer agent directly. 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":"trailofbits-skill-improver","task":"Install skill-improver","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
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add trailofbits/skills --skill skill-improver
Maintenance
fresh
11d since push
Risk
Safe to try
Quality score needs review
GitHub quality
6.9K
85/100 Quality · 83/100 Trust
Coverage tags
Review notes
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
6.9K GitHub stars
Repo activity
6.9K stars, 588 forks
Maintenance
11d since push
License
CC-BY-SA-4.0
Install
npx skills add trailofbits/skills --skill skill-improver
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 trailofbits/skills --skill skill-improverDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
40.8K Stars
npx skills add appsmithorg/appsmith
Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
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%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/trailofbits-skill-improver/install
Agent should check
Copy prompt
Task: Use skill-improver in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/trailofbits-skill-improver/install
Install command: npx skills add trailofbits/skills --skill skill-improver
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/trailofbits-skill-improver/install
LLM text format
/api/skills/trailofbits-skill-improver/install?format=text
Find alternatives
/api/skills/search?q=skill-improver&limit=3
Agent prompt
Use skill-improver for this task. Review https://www.openagentskill.com/api/skills/trailofbits-skill-improver/install, then install with: npx skills add trailofbits/skills --skill skill-improverRegistry 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/trailofbits-skill-improver
LLM text
/api/registry/manifest/trailofbits-skill-improver?format=text
Install alias
/api/registry/install/trailofbits-skill-improver
Recommend
/api/registry/recommend?task=Use%20skill-improver%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
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
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS6.9K GitHub stars
Stars/forks activity
PASS6.9K stars, 588 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSCC-BY-SA-4.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
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.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: skill-improver description: "Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use to fix skill quality issues, iteratively refine a skill, or resume a loop after an escalation ('fix my skill', 'improve this skill until it passes review', 'skill improvement loop'). NOT for a one-time review — use the plugin-dev skill-reviewer agent directly." argument-hint: "<SKILL_NAME_OR_PATH> [--max-rounds N]" allowed-tools: Bash Glob Read TaskOutput TaskStop Workflow ---
# Skill Improver
Improve a Claude Code skill by running `/code-improver:improve` — a dynamic workflow that loops a reviewer and a fixer subagent until a review reports zero critical/major findings, then strips its own residue. This entry point wires the loop to the `plugin-dev:skill-reviewer` agent, so the **plugin-dev plugin must be installed** (marketplace `claude-plugins-official`). The loop, its ledger, and its guards live in the workflow; this skill resolves the target and relays the outcome.
## Starting the loop
The user provided: `$ARGUMENTS` (if empty, take the target skill from the conversation).
### 1. Resolve the skill path
1. If the input ends with `/SKILL.md` and the file exists, use its directory 2. If the input is a directory containing `SKILL.md`, use that path 3. Otherwise `Glob(pattern="**/SKILL.md")` and filter by skill name or path substring: - **Multiple matches:** ask the user to choose - **No matches:** report the available skills - **Single match:** proceed
### 2. Resolve the loop script
The loop is the dynamic workflow `workflows/improve.js` in this plugin. Launch it by path: `scriptPath` takes a resolved absolute path, and the Workflow tool's `name` resolves built-in and project workflows, so a marketplace-installed one may not answer to `code-improver:improve`. Try in order, first hit wins — the home directories come before `.` so an installed copy beats a checkout of this marketplace:
1. `Bash: ls -d -- "${CLAUDE_PLUGIN_ROOT}/workflows/improve.js"` 2. `Bash: ls -d -- "${CODEX_PLUGIN_ROOT}/workflows/improve.js"` (if that variable is set instead) 3. `Bash: find ~/.claude ~/.codex . -maxdepth 7 -path '*/code-improver/workflows/improve.js' -print -quit 2>/dev/null`
Use the path exactly as printed. Its plugin directory — the path with `/workflows/improve.js` removed — is `pluginRoot`. If all three come back empty, try `{name: "code-improver:improve"}` once; if that is unavailable too, stop and say the loop could not be located. Do not assemble a path by hand and do not improvise the loop.
### 3. Invoke the workflow
Run it with the Workflow tool, `{scriptPath: "<the path from step 2>", args: {...}}`:
```json { "target": "<resolved absolute path>", "reviewer": { "kind": "agent", "name": "plugin-dev:skill-reviewer", "notes": "The target is a Claude Code skill directory; review it as a skill (frontmatter, triggering description, progressive disclosure, referenced files)." }, "pluginRoot": "<the plugin directory from step 2>", "maxRounds": 5 } ```
- `maxRounds` only if the user asked for a different cap (`--max-rounds N`). - `pluginRoot` lets the run find its metrics collector; omit the key only if step 2 fell through to the workflow name — the workflow then searches for itself. - `scope` (repo-relative globs) only if the user restricted or widened what the loop may touch; by default the workflow scopes to the skill's plugin directory. - `decision` only on continuation (below).
The workflow runs in the background and needs no babysitting: it reviews, fixes, re-reviews, checks scope after every fix round, and can only complete on a clean review. It never commits; all changes stay in the working tree.
**If the Workflow tool is unavailable or denied, stop and say so.** Do not improvise the loop inline with direct edits — the ledger, scope guard, and escalation guarantees live in the workflow, and an inline imitation has none of them (observed failure: an inline fallback "fixed" a finding by weakening the documented guarantee, exactly what the loop exists to prevent).
**If the result is `halted: "reviewer-unavailable"`, relay it and stop.** The reviewer this skill names is not installed; tell the user to install the `plugin-dev` plugin from the `claude-plugins-official` marketplace and re-run. Do not review the skill yourself.
**Do not end your turn while the loop is running.** The Workflow tool returns a task id immediately; the result comes later. In an interactive session the completion notification re-invokes you — wait for it. In a non-interactive run (scripted, CI, eval) there is no later turn: stopping abandons the loop mid-round, so after launching, poll the task (TaskOutput with the returned task id, or sleep-and-recheck) until it completes, then relay the result. A session that answers "the loop is running, I'll report later" has lost the run.
## Relaying the result
The workflow returns a structured result. Report it honestly — the distinctions matter:
- **`converged: true`** — the last action was a review with zero critical/major findings. Report rounds used, remaining minor findings (`open_minor_count`), and the artifact paths (`ledger_path`, `metrics`). - **`capped: true`** — the fix budget ran out and the FINAL review still found blocking issues. Say plainly: **capped, NOT converged**, and list `open_blocking`. Do not present this as success. - **`escalation`** — the loop detected it was not converging (recurring findings, non-decreasing counts, or a fix relocating a problem). Relay the escalation message and finding ids to the user: this needs a design decision, not more rounds. - **`halted`** — a guard fired (scope violation, unregistered new files, a dead or unavailable reviewer, or a finalize pass whose own edits failed the check that follows it). Relay the paths in `violations`/`new_untracked_files`, the sites in `finalize_regressions`, and the notes. - **`notes`** always travel with the result — surface them; they include loud warnings such as "a git repository was initialized".
## Continuing after an escalation
The loop stops on escalation by design. When the user decides (e.g. "keep the blocklist and document the limitation"), start a fresh run with the same `target` plus:
```json { "decision": "<the user's ruling, verbatim>" } ```
The new run reloads the on-disk ledger, so every finding, rejection, and verdict carries over — rounds restart, re-derivation does not.
To stop a running loop, stop the workflow task (TaskStop); the ledger on disk is current to the last round and a re-run resumes from it.
## What the loop enforces (so you do not have to)
- **Fix verification** — the next review verifies every fix; fixes to executable behavior carry pins that fail against the pre-fix code. - **Scope** — a mechanical git-diff check after every fix round, and after the finalize pass, halts on any out-of-scope change; out-of-scope files git does not track are guarded by content hash, since no diff would show them; completion also requires no unregistered new files in scope. - **Report everything** — reviewers report all findings with severity; filtering happens once, at the ledger verdict, and rejections are not re-litigated without new evidence. - **Finalize** — before completion the loop strips narration comments, collapses version churn to exactly one bump (in `plugin.json` and the marketplace entry that repeats it), and runs a docs-match-code pass. Those edits land after the last review, so a check reads them: an over-eager narration strip or a false docs claim halts with `finalize-regression` instead of passing as done.
## When NOT to use
- **One-time review**: dispatch the `plugin-dev:skill-reviewer` agent directly - **Quick single fixes**: edit the file directly - **Non-skill targets**: use the `code-improver` skill with a reviewer that fits the target, or `pr-improver` for a branch - **Exploratory drafting**: manual iteration gives more control while the shape is fluid
Decision snapshot
6,860 GitHub stars
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 skill-improver, ready for a manual X post.
skill-improver: Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review co... 6.9K stars https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=x
Listing + install path for skill-improver: https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=x Install: npx skills add trailofbits/skills --skill skill-improver
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 Registry indexed listing is attributed to trailofbits 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/trailofbits-skill-improver?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/trailofbits-skill-improver/audit)
[](https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)trailofbits
@trailofbits
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
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React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
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Install targets
Codex install prompt
Install the "skill-improver" agent skill from https://github.com/trailofbits/skills/tree/main/plugins/code-improver/skills/skill-improver. 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: Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use to fix skill quality issues, iteratively refine a skill, or resume a loop after an escalation ('fix my skill', 'improve this skill until it passes review', 'skill improvement loop'). NOT for a one-time review — use the plugin-dev skill-reviewer agent directly. 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":"trailofbits-skill-improver","task":"Install skill-improver","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
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add trailofbits/skills --skill skill-improver
Maintenance
fresh
11d since push
Risk
Safe to try
Quality score needs review
GitHub quality
6.9K
85/100 Quality · 83/100 Trust
Coverage tags
Review notes
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
6.9K GitHub stars
Repo activity
6.9K stars, 588 forks
Maintenance
11d since push
License
CC-BY-SA-4.0
Install
npx skills add trailofbits/skills --skill skill-improver
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 trailofbits/skills --skill skill-improverDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
40.8K Stars
npx skills add appsmithorg/appsmith
Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
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%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/trailofbits-skill-improver/install
Agent should check
Copy prompt
Task: Use skill-improver in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/trailofbits-skill-improver/install
Install command: npx skills add trailofbits/skills --skill skill-improver
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/trailofbits-skill-improver/install
LLM text format
/api/skills/trailofbits-skill-improver/install?format=text
Find alternatives
/api/skills/search?q=skill-improver&limit=3
Agent prompt
Use skill-improver for this task. Review https://www.openagentskill.com/api/skills/trailofbits-skill-improver/install, then install with: npx skills add trailofbits/skills --skill skill-improverRegistry 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/trailofbits-skill-improver
LLM text
/api/registry/manifest/trailofbits-skill-improver?format=text
Install alias
/api/registry/install/trailofbits-skill-improver
Recommend
/api/registry/recommend?task=Use%20skill-improver%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
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
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS6.9K GitHub stars
Stars/forks activity
PASS6.9K stars, 588 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSCC-BY-SA-4.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
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.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: skill-improver description: "Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use to fix skill quality issues, iteratively refine a skill, or resume a loop after an escalation ('fix my skill', 'improve this skill until it passes review', 'skill improvement loop'). NOT for a one-time review — use the plugin-dev skill-reviewer agent directly." argument-hint: "<SKILL_NAME_OR_PATH> [--max-rounds N]" allowed-tools: Bash Glob Read TaskOutput TaskStop Workflow ---
# Skill Improver
Improve a Claude Code skill by running `/code-improver:improve` — a dynamic workflow that loops a reviewer and a fixer subagent until a review reports zero critical/major findings, then strips its own residue. This entry point wires the loop to the `plugin-dev:skill-reviewer` agent, so the **plugin-dev plugin must be installed** (marketplace `claude-plugins-official`). The loop, its ledger, and its guards live in the workflow; this skill resolves the target and relays the outcome.
## Starting the loop
The user provided: `$ARGUMENTS` (if empty, take the target skill from the conversation).
### 1. Resolve the skill path
1. If the input ends with `/SKILL.md` and the file exists, use its directory 2. If the input is a directory containing `SKILL.md`, use that path 3. Otherwise `Glob(pattern="**/SKILL.md")` and filter by skill name or path substring: - **Multiple matches:** ask the user to choose - **No matches:** report the available skills - **Single match:** proceed
### 2. Resolve the loop script
The loop is the dynamic workflow `workflows/improve.js` in this plugin. Launch it by path: `scriptPath` takes a resolved absolute path, and the Workflow tool's `name` resolves built-in and project workflows, so a marketplace-installed one may not answer to `code-improver:improve`. Try in order, first hit wins — the home directories come before `.` so an installed copy beats a checkout of this marketplace:
1. `Bash: ls -d -- "${CLAUDE_PLUGIN_ROOT}/workflows/improve.js"` 2. `Bash: ls -d -- "${CODEX_PLUGIN_ROOT}/workflows/improve.js"` (if that variable is set instead) 3. `Bash: find ~/.claude ~/.codex . -maxdepth 7 -path '*/code-improver/workflows/improve.js' -print -quit 2>/dev/null`
Use the path exactly as printed. Its plugin directory — the path with `/workflows/improve.js` removed — is `pluginRoot`. If all three come back empty, try `{name: "code-improver:improve"}` once; if that is unavailable too, stop and say the loop could not be located. Do not assemble a path by hand and do not improvise the loop.
### 3. Invoke the workflow
Run it with the Workflow tool, `{scriptPath: "<the path from step 2>", args: {...}}`:
```json { "target": "<resolved absolute path>", "reviewer": { "kind": "agent", "name": "plugin-dev:skill-reviewer", "notes": "The target is a Claude Code skill directory; review it as a skill (frontmatter, triggering description, progressive disclosure, referenced files)." }, "pluginRoot": "<the plugin directory from step 2>", "maxRounds": 5 } ```
- `maxRounds` only if the user asked for a different cap (`--max-rounds N`). - `pluginRoot` lets the run find its metrics collector; omit the key only if step 2 fell through to the workflow name — the workflow then searches for itself. - `scope` (repo-relative globs) only if the user restricted or widened what the loop may touch; by default the workflow scopes to the skill's plugin directory. - `decision` only on continuation (below).
The workflow runs in the background and needs no babysitting: it reviews, fixes, re-reviews, checks scope after every fix round, and can only complete on a clean review. It never commits; all changes stay in the working tree.
**If the Workflow tool is unavailable or denied, stop and say so.** Do not improvise the loop inline with direct edits — the ledger, scope guard, and escalation guarantees live in the workflow, and an inline imitation has none of them (observed failure: an inline fallback "fixed" a finding by weakening the documented guarantee, exactly what the loop exists to prevent).
**If the result is `halted: "reviewer-unavailable"`, relay it and stop.** The reviewer this skill names is not installed; tell the user to install the `plugin-dev` plugin from the `claude-plugins-official` marketplace and re-run. Do not review the skill yourself.
**Do not end your turn while the loop is running.** The Workflow tool returns a task id immediately; the result comes later. In an interactive session the completion notification re-invokes you — wait for it. In a non-interactive run (scripted, CI, eval) there is no later turn: stopping abandons the loop mid-round, so after launching, poll the task (TaskOutput with the returned task id, or sleep-and-recheck) until it completes, then relay the result. A session that answers "the loop is running, I'll report later" has lost the run.
## Relaying the result
The workflow returns a structured result. Report it honestly — the distinctions matter:
- **`converged: true`** — the last action was a review with zero critical/major findings. Report rounds used, remaining minor findings (`open_minor_count`), and the artifact paths (`ledger_path`, `metrics`). - **`capped: true`** — the fix budget ran out and the FINAL review still found blocking issues. Say plainly: **capped, NOT converged**, and list `open_blocking`. Do not present this as success. - **`escalation`** — the loop detected it was not converging (recurring findings, non-decreasing counts, or a fix relocating a problem). Relay the escalation message and finding ids to the user: this needs a design decision, not more rounds. - **`halted`** — a guard fired (scope violation, unregistered new files, a dead or unavailable reviewer, or a finalize pass whose own edits failed the check that follows it). Relay the paths in `violations`/`new_untracked_files`, the sites in `finalize_regressions`, and the notes. - **`notes`** always travel with the result — surface them; they include loud warnings such as "a git repository was initialized".
## Continuing after an escalation
The loop stops on escalation by design. When the user decides (e.g. "keep the blocklist and document the limitation"), start a fresh run with the same `target` plus:
```json { "decision": "<the user's ruling, verbatim>" } ```
The new run reloads the on-disk ledger, so every finding, rejection, and verdict carries over — rounds restart, re-derivation does not.
To stop a running loop, stop the workflow task (TaskStop); the ledger on disk is current to the last round and a re-run resumes from it.
## What the loop enforces (so you do not have to)
- **Fix verification** — the next review verifies every fix; fixes to executable behavior carry pins that fail against the pre-fix code. - **Scope** — a mechanical git-diff check after every fix round, and after the finalize pass, halts on any out-of-scope change; out-of-scope files git does not track are guarded by content hash, since no diff would show them; completion also requires no unregistered new files in scope. - **Report everything** — reviewers report all findings with severity; filtering happens once, at the ledger verdict, and rejections are not re-litigated without new evidence. - **Finalize** — before completion the loop strips narration comments, collapses version churn to exactly one bump (in `plugin.json` and the marketplace entry that repeats it), and runs a docs-match-code pass. Those edits land after the last review, so a check reads them: an over-eager narration strip or a false docs claim halts with `finalize-regression` instead of passing as done.
## When NOT to use
- **One-time review**: dispatch the `plugin-dev:skill-reviewer` agent directly - **Quick single fixes**: edit the file directly - **Non-skill targets**: use the `code-improver` skill with a reviewer that fits the target, or `pr-improver` for a branch - **Exploratory drafting**: manual iteration gives more control while the shape is fluid
Decision snapshot
6,860 GitHub stars
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 skill-improver, ready for a manual X post.
skill-improver: Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review co... 6.9K stars https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=x
Listing + install path for skill-improver: https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=x Install: npx skills add trailofbits/skills --skill skill-improver
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 Registry indexed listing is attributed to trailofbits 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
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[](https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/trailofbits-skill-improver/audit)
[](https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)trailofbits
@trailofbits
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
175.7K StarsVercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
30.9K StarsReview then install
Install targets
Codex install prompt
Install the "skill-improver" agent skill from https://github.com/trailofbits/skills/tree/main/plugins/code-improver/skills/skill-improver. 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: Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use to fix skill quality issues, iteratively refine a skill, or resume a loop after an escalation ('fix my skill', 'improve this skill until it passes review', 'skill improvement loop'). NOT for a one-time review — use the plugin-dev skill-reviewer agent directly. 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":"trailofbits-skill-improver","task":"Install skill-improver","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
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add trailofbits/skills --skill skill-improver
Maintenance
fresh
11d since push
Risk
Safe to try
Quality score needs review
GitHub quality
6.9K
85/100 Quality · 83/100 Trust
Coverage tags
Review notes
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
6.9K GitHub stars
Repo activity
6.9K stars, 588 forks
Maintenance
11d since push
License
CC-BY-SA-4.0
Install
npx skills add trailofbits/skills --skill skill-improver
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 trailofbits/skills --skill skill-improverDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
40.8K Stars
npx skills add appsmithorg/appsmith
Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
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%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/trailofbits-skill-improver/install
Agent should check
Copy prompt
Task: Use skill-improver in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/trailofbits-skill-improver/install
Install command: npx skills add trailofbits/skills --skill skill-improver
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/trailofbits-skill-improver/install
LLM text format
/api/skills/trailofbits-skill-improver/install?format=text
Find alternatives
/api/skills/search?q=skill-improver&limit=3
Agent prompt
Use skill-improver for this task. Review https://www.openagentskill.com/api/skills/trailofbits-skill-improver/install, then install with: npx skills add trailofbits/skills --skill skill-improverRegistry 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/trailofbits-skill-improver
LLM text
/api/registry/manifest/trailofbits-skill-improver?format=text
Install alias
/api/registry/install/trailofbits-skill-improver
Recommend
/api/registry/recommend?task=Use%20skill-improver%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
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
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS6.9K GitHub stars
Stars/forks activity
PASS6.9K stars, 588 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSCC-BY-SA-4.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
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.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: skill-improver description: "Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use to fix skill quality issues, iteratively refine a skill, or resume a loop after an escalation ('fix my skill', 'improve this skill until it passes review', 'skill improvement loop'). NOT for a one-time review — use the plugin-dev skill-reviewer agent directly." argument-hint: "<SKILL_NAME_OR_PATH> [--max-rounds N]" allowed-tools: Bash Glob Read TaskOutput TaskStop Workflow ---
# Skill Improver
Improve a Claude Code skill by running `/code-improver:improve` — a dynamic workflow that loops a reviewer and a fixer subagent until a review reports zero critical/major findings, then strips its own residue. This entry point wires the loop to the `plugin-dev:skill-reviewer` agent, so the **plugin-dev plugin must be installed** (marketplace `claude-plugins-official`). The loop, its ledger, and its guards live in the workflow; this skill resolves the target and relays the outcome.
## Starting the loop
The user provided: `$ARGUMENTS` (if empty, take the target skill from the conversation).
### 1. Resolve the skill path
1. If the input ends with `/SKILL.md` and the file exists, use its directory 2. If the input is a directory containing `SKILL.md`, use that path 3. Otherwise `Glob(pattern="**/SKILL.md")` and filter by skill name or path substring: - **Multiple matches:** ask the user to choose - **No matches:** report the available skills - **Single match:** proceed
### 2. Resolve the loop script
The loop is the dynamic workflow `workflows/improve.js` in this plugin. Launch it by path: `scriptPath` takes a resolved absolute path, and the Workflow tool's `name` resolves built-in and project workflows, so a marketplace-installed one may not answer to `code-improver:improve`. Try in order, first hit wins — the home directories come before `.` so an installed copy beats a checkout of this marketplace:
1. `Bash: ls -d -- "${CLAUDE_PLUGIN_ROOT}/workflows/improve.js"` 2. `Bash: ls -d -- "${CODEX_PLUGIN_ROOT}/workflows/improve.js"` (if that variable is set instead) 3. `Bash: find ~/.claude ~/.codex . -maxdepth 7 -path '*/code-improver/workflows/improve.js' -print -quit 2>/dev/null`
Use the path exactly as printed. Its plugin directory — the path with `/workflows/improve.js` removed — is `pluginRoot`. If all three come back empty, try `{name: "code-improver:improve"}` once; if that is unavailable too, stop and say the loop could not be located. Do not assemble a path by hand and do not improvise the loop.
### 3. Invoke the workflow
Run it with the Workflow tool, `{scriptPath: "<the path from step 2>", args: {...}}`:
```json { "target": "<resolved absolute path>", "reviewer": { "kind": "agent", "name": "plugin-dev:skill-reviewer", "notes": "The target is a Claude Code skill directory; review it as a skill (frontmatter, triggering description, progressive disclosure, referenced files)." }, "pluginRoot": "<the plugin directory from step 2>", "maxRounds": 5 } ```
- `maxRounds` only if the user asked for a different cap (`--max-rounds N`). - `pluginRoot` lets the run find its metrics collector; omit the key only if step 2 fell through to the workflow name — the workflow then searches for itself. - `scope` (repo-relative globs) only if the user restricted or widened what the loop may touch; by default the workflow scopes to the skill's plugin directory. - `decision` only on continuation (below).
The workflow runs in the background and needs no babysitting: it reviews, fixes, re-reviews, checks scope after every fix round, and can only complete on a clean review. It never commits; all changes stay in the working tree.
**If the Workflow tool is unavailable or denied, stop and say so.** Do not improvise the loop inline with direct edits — the ledger, scope guard, and escalation guarantees live in the workflow, and an inline imitation has none of them (observed failure: an inline fallback "fixed" a finding by weakening the documented guarantee, exactly what the loop exists to prevent).
**If the result is `halted: "reviewer-unavailable"`, relay it and stop.** The reviewer this skill names is not installed; tell the user to install the `plugin-dev` plugin from the `claude-plugins-official` marketplace and re-run. Do not review the skill yourself.
**Do not end your turn while the loop is running.** The Workflow tool returns a task id immediately; the result comes later. In an interactive session the completion notification re-invokes you — wait for it. In a non-interactive run (scripted, CI, eval) there is no later turn: stopping abandons the loop mid-round, so after launching, poll the task (TaskOutput with the returned task id, or sleep-and-recheck) until it completes, then relay the result. A session that answers "the loop is running, I'll report later" has lost the run.
## Relaying the result
The workflow returns a structured result. Report it honestly — the distinctions matter:
- **`converged: true`** — the last action was a review with zero critical/major findings. Report rounds used, remaining minor findings (`open_minor_count`), and the artifact paths (`ledger_path`, `metrics`). - **`capped: true`** — the fix budget ran out and the FINAL review still found blocking issues. Say plainly: **capped, NOT converged**, and list `open_blocking`. Do not present this as success. - **`escalation`** — the loop detected it was not converging (recurring findings, non-decreasing counts, or a fix relocating a problem). Relay the escalation message and finding ids to the user: this needs a design decision, not more rounds. - **`halted`** — a guard fired (scope violation, unregistered new files, a dead or unavailable reviewer, or a finalize pass whose own edits failed the check that follows it). Relay the paths in `violations`/`new_untracked_files`, the sites in `finalize_regressions`, and the notes. - **`notes`** always travel with the result — surface them; they include loud warnings such as "a git repository was initialized".
## Continuing after an escalation
The loop stops on escalation by design. When the user decides (e.g. "keep the blocklist and document the limitation"), start a fresh run with the same `target` plus:
```json { "decision": "<the user's ruling, verbatim>" } ```
The new run reloads the on-disk ledger, so every finding, rejection, and verdict carries over — rounds restart, re-derivation does not.
To stop a running loop, stop the workflow task (TaskStop); the ledger on disk is current to the last round and a re-run resumes from it.
## What the loop enforces (so you do not have to)
- **Fix verification** — the next review verifies every fix; fixes to executable behavior carry pins that fail against the pre-fix code. - **Scope** — a mechanical git-diff check after every fix round, and after the finalize pass, halts on any out-of-scope change; out-of-scope files git does not track are guarded by content hash, since no diff would show them; completion also requires no unregistered new files in scope. - **Report everything** — reviewers report all findings with severity; filtering happens once, at the ledger verdict, and rejections are not re-litigated without new evidence. - **Finalize** — before completion the loop strips narration comments, collapses version churn to exactly one bump (in `plugin.json` and the marketplace entry that repeats it), and runs a docs-match-code pass. Those edits land after the last review, so a check reads them: an over-eager narration strip or a false docs claim halts with `finalize-regression` instead of passing as done.
## When NOT to use
- **One-time review**: dispatch the `plugin-dev:skill-reviewer` agent directly - **Quick single fixes**: edit the file directly - **Non-skill targets**: use the `code-improver` skill with a reviewer that fits the target, or `pr-improver` for a branch - **Exploratory drafting**: manual iteration gives more control while the shape is fluid
Decision snapshot
6,860 GitHub stars
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 skill-improver, ready for a manual X post.
skill-improver: Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review co... 6.9K stars https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=x
Listing + install path for skill-improver: https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=x Install: npx skills add trailofbits/skills --skill skill-improver
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 Registry indexed listing is attributed to trailofbits 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/trailofbits-skill-improver?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/trailofbits-skill-improver/audit)
[](https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)trailofbits
@trailofbits
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
175.7K StarsVercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
30.9K StarsReview then install
Install targets
Codex install prompt
Install the "skill-improver" agent skill from https://github.com/trailofbits/skills/tree/main/plugins/code-improver/skills/skill-improver. 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: Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use to fix skill quality issues, iteratively refine a skill, or resume a loop after an escalation ('fix my skill', 'improve this skill until it passes review', 'skill improvement loop'). NOT for a one-time review — use the plugin-dev skill-reviewer agent directly. 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":"trailofbits-skill-improver","task":"Install skill-improver","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
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add trailofbits/skills --skill skill-improver
Maintenance
fresh
11d since push
Risk
Safe to try
Quality score needs review
GitHub quality
6.9K
85/100 Quality · 83/100 Trust
Coverage tags
Review notes
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
6.9K GitHub stars
Repo activity
6.9K stars, 588 forks
Maintenance
11d since push
License
CC-BY-SA-4.0
Install
npx skills add trailofbits/skills --skill skill-improver
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 trailofbits/skills --skill skill-improverDo not use when
Alternative
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
40.8K Stars
npx skills add appsmithorg/appsmith
Alternative
175.7K Stars
npx skills add mattpocock/skills --skill implement
Alternative
30.9K Stars
npx skills add vercel-labs/agent-skills --skill vercel-react-best-practices
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
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%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/trailofbits-skill-improver/install
Agent should check
Copy prompt
Task: Use skill-improver in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20skill-improver%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/trailofbits-skill-improver/install
Install command: npx skills add trailofbits/skills --skill skill-improver
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/trailofbits-skill-improver/install
LLM text format
/api/skills/trailofbits-skill-improver/install?format=text
Find alternatives
/api/skills/search?q=skill-improver&limit=3
Agent prompt
Use skill-improver for this task. Review https://www.openagentskill.com/api/skills/trailofbits-skill-improver/install, then install with: npx skills add trailofbits/skills --skill skill-improverRegistry 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/trailofbits-skill-improver
LLM text
/api/registry/manifest/trailofbits-skill-improver?format=text
Install alias
/api/registry/install/trailofbits-skill-improver
Recommend
/api/registry/recommend?task=Use%20skill-improver%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
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
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS6.9K GitHub stars
Stars/forks activity
PASS6.9K stars, 588 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSCC-BY-SA-4.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
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.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
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Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
--- name: skill-improver description: "Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review comes back clean, with a cross-round findings ledger, escalation when fixes stop converging, and a mechanical scope guard. Reviews are performed by the plugin-dev skill-reviewer agent. Use to fix skill quality issues, iteratively refine a skill, or resume a loop after an escalation ('fix my skill', 'improve this skill until it passes review', 'skill improvement loop'). NOT for a one-time review — use the plugin-dev skill-reviewer agent directly." argument-hint: "<SKILL_NAME_OR_PATH> [--max-rounds N]" allowed-tools: Bash Glob Read TaskOutput TaskStop Workflow ---
# Skill Improver
Improve a Claude Code skill by running `/code-improver:improve` — a dynamic workflow that loops a reviewer and a fixer subagent until a review reports zero critical/major findings, then strips its own residue. This entry point wires the loop to the `plugin-dev:skill-reviewer` agent, so the **plugin-dev plugin must be installed** (marketplace `claude-plugins-official`). The loop, its ledger, and its guards live in the workflow; this skill resolves the target and relays the outcome.
## Starting the loop
The user provided: `$ARGUMENTS` (if empty, take the target skill from the conversation).
### 1. Resolve the skill path
1. If the input ends with `/SKILL.md` and the file exists, use its directory 2. If the input is a directory containing `SKILL.md`, use that path 3. Otherwise `Glob(pattern="**/SKILL.md")` and filter by skill name or path substring: - **Multiple matches:** ask the user to choose - **No matches:** report the available skills - **Single match:** proceed
### 2. Resolve the loop script
The loop is the dynamic workflow `workflows/improve.js` in this plugin. Launch it by path: `scriptPath` takes a resolved absolute path, and the Workflow tool's `name` resolves built-in and project workflows, so a marketplace-installed one may not answer to `code-improver:improve`. Try in order, first hit wins — the home directories come before `.` so an installed copy beats a checkout of this marketplace:
1. `Bash: ls -d -- "${CLAUDE_PLUGIN_ROOT}/workflows/improve.js"` 2. `Bash: ls -d -- "${CODEX_PLUGIN_ROOT}/workflows/improve.js"` (if that variable is set instead) 3. `Bash: find ~/.claude ~/.codex . -maxdepth 7 -path '*/code-improver/workflows/improve.js' -print -quit 2>/dev/null`
Use the path exactly as printed. Its plugin directory — the path with `/workflows/improve.js` removed — is `pluginRoot`. If all three come back empty, try `{name: "code-improver:improve"}` once; if that is unavailable too, stop and say the loop could not be located. Do not assemble a path by hand and do not improvise the loop.
### 3. Invoke the workflow
Run it with the Workflow tool, `{scriptPath: "<the path from step 2>", args: {...}}`:
```json { "target": "<resolved absolute path>", "reviewer": { "kind": "agent", "name": "plugin-dev:skill-reviewer", "notes": "The target is a Claude Code skill directory; review it as a skill (frontmatter, triggering description, progressive disclosure, referenced files)." }, "pluginRoot": "<the plugin directory from step 2>", "maxRounds": 5 } ```
- `maxRounds` only if the user asked for a different cap (`--max-rounds N`). - `pluginRoot` lets the run find its metrics collector; omit the key only if step 2 fell through to the workflow name — the workflow then searches for itself. - `scope` (repo-relative globs) only if the user restricted or widened what the loop may touch; by default the workflow scopes to the skill's plugin directory. - `decision` only on continuation (below).
The workflow runs in the background and needs no babysitting: it reviews, fixes, re-reviews, checks scope after every fix round, and can only complete on a clean review. It never commits; all changes stay in the working tree.
**If the Workflow tool is unavailable or denied, stop and say so.** Do not improvise the loop inline with direct edits — the ledger, scope guard, and escalation guarantees live in the workflow, and an inline imitation has none of them (observed failure: an inline fallback "fixed" a finding by weakening the documented guarantee, exactly what the loop exists to prevent).
**If the result is `halted: "reviewer-unavailable"`, relay it and stop.** The reviewer this skill names is not installed; tell the user to install the `plugin-dev` plugin from the `claude-plugins-official` marketplace and re-run. Do not review the skill yourself.
**Do not end your turn while the loop is running.** The Workflow tool returns a task id immediately; the result comes later. In an interactive session the completion notification re-invokes you — wait for it. In a non-interactive run (scripted, CI, eval) there is no later turn: stopping abandons the loop mid-round, so after launching, poll the task (TaskOutput with the returned task id, or sleep-and-recheck) until it completes, then relay the result. A session that answers "the loop is running, I'll report later" has lost the run.
## Relaying the result
The workflow returns a structured result. Report it honestly — the distinctions matter:
- **`converged: true`** — the last action was a review with zero critical/major findings. Report rounds used, remaining minor findings (`open_minor_count`), and the artifact paths (`ledger_path`, `metrics`). - **`capped: true`** — the fix budget ran out and the FINAL review still found blocking issues. Say plainly: **capped, NOT converged**, and list `open_blocking`. Do not present this as success. - **`escalation`** — the loop detected it was not converging (recurring findings, non-decreasing counts, or a fix relocating a problem). Relay the escalation message and finding ids to the user: this needs a design decision, not more rounds. - **`halted`** — a guard fired (scope violation, unregistered new files, a dead or unavailable reviewer, or a finalize pass whose own edits failed the check that follows it). Relay the paths in `violations`/`new_untracked_files`, the sites in `finalize_regressions`, and the notes. - **`notes`** always travel with the result — surface them; they include loud warnings such as "a git repository was initialized".
## Continuing after an escalation
The loop stops on escalation by design. When the user decides (e.g. "keep the blocklist and document the limitation"), start a fresh run with the same `target` plus:
```json { "decision": "<the user's ruling, verbatim>" } ```
The new run reloads the on-disk ledger, so every finding, rejection, and verdict carries over — rounds restart, re-derivation does not.
To stop a running loop, stop the workflow task (TaskStop); the ledger on disk is current to the last round and a re-run resumes from it.
## What the loop enforces (so you do not have to)
- **Fix verification** — the next review verifies every fix; fixes to executable behavior carry pins that fail against the pre-fix code. - **Scope** — a mechanical git-diff check after every fix round, and after the finalize pass, halts on any out-of-scope change; out-of-scope files git does not track are guarded by content hash, since no diff would show them; completion also requires no unregistered new files in scope. - **Report everything** — reviewers report all findings with severity; filtering happens once, at the ledger verdict, and rejections are not re-litigated without new evidence. - **Finalize** — before completion the loop strips narration comments, collapses version churn to exactly one bump (in `plugin.json` and the marketplace entry that repeats it), and runs a docs-match-code pass. Those edits land after the last review, so a check reads them: an over-eager narration strip or a false docs claim halts with `finalize-regression` instead of passing as done.
## When NOT to use
- **One-time review**: dispatch the `plugin-dev:skill-reviewer` agent directly - **Quick single fixes**: edit the file directly - **Non-skill targets**: use the `code-improver` skill with a reviewer that fits the target, or `pr-improver` for a branch - **Exploratory drafting**: manual iteration gives more control while the shape is fluid
Decision snapshot
6,860 GitHub stars
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 skill-improver, ready for a manual X post.
skill-improver: Runs an autonomous review-and-fix improvement loop over a Claude Code skill until a review co... 6.9K stars https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=x
Listing + install path for skill-improver: https://www.openagentskill.com/skills/trailofbits-skill-improver?ref=x Install: npx skills add trailofbits/skills --skill skill-improver
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 Registry indexed listing is attributed to trailofbits 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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Review then install
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
168.6K StarsAppsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
40.8K StarsImplement
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30.9K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness