code-review
Review local git changes before opening a PR or merging. First review all local tracked and untracked files; if none exist, review the current branch against a requested base branch or the Git Town parent branch. Use zero to three review subagents only when risk, diff size, langu
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
Maintenance
fresh
5d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
13
58/100 Quality · 67/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
Trust, audit, and install readiness at a glance
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
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
13 GitHub stars
Repo activity
13 stars, 0 forks
Maintenance
5d since push
License
MIT
Install
npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 13 GitHub stars
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
- Policy
- block
- Human review
- yes
Trust and risk
- Trust
- 59/100
- Audit
- 73/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add rijkvanzanten/rolling-wave-engineering --skill code-reviewDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Alternative
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19.8K Stars
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Agent safety v2
29/100 · Avoid automatic install
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
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install rijkvanzanten-code-reviewAgent resolve plan
Let an agent verify fit before installing.
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/rijkvanzanten-code-review/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
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/rijkvanzanten-code-review/install
Install command: npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/rijkvanzanten-code-review/install
LLM text format
/api/skills/rijkvanzanten-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/rijkvanzanten-code-review/install, then install with: npx skills add rijkvanzanten/rolling-wave-engineering --skill code-reviewRegistry metadata
Agent-readable profile for automatic skill selection.
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/rijkvanzanten-code-review
LLM text
/api/registry/manifest/rijkvanzanten-code-review?format=text
Install alias
/api/registry/install/rijkvanzanten-code-review
Recommend
/api/registry/recommend?task=Use%20code-review%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 73/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 58/100 quality profile
- 7 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX13 GitHub stars
Stars/forks activity
FIX13 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 13 GitHub stars
- Stars/forks activity: 13 stars, 0 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Last30days Skill
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GPT Researcher
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Overview
--- name: code-review description: Review local git changes before opening a PR or merging. First review all local tracked and untracked files; if none exist, review the current branch against a requested base branch or the Git Town parent branch. Use zero to three review subagents only when risk, diff size, language specificity, or uncertainty justifies the token cost, then report high-confidence bugs, regressions, risky assumptions, and missing tests. Use when the user asks for code review, local review, branch sanity check, pre-PR review, or review of work-in-progress changes. ---
# Code Review
## Overview
Review local changes as a reviewer, not as an implementer. Prefer the smallest current review surface: local worktree changes first, then branch changes against a base branch only when the worktree has no tracked or untracked changes. When no base branch is named, use the Git Town parent branch before falling back to the default branch. Local worktree review includes staged tracked changes, unstaged tracked changes, and untracked files. Start with a local review pass, then use zero to three language/risk-specific subagents only when they are likely to improve review quality enough to justify the token cost. Do not run tests or linters unless the user explicitly changes the scope.
Invoking this skill is permission to use review subagents when useful; it is not a requirement to spawn them. A local-only review is valid for small, obvious, low-risk, or already well-tested diffs.
## Scope
Determine review depth from the request:
- Default to lightweight review. - Switch to in-depth review when the user explicitly asks for deeper review.
Determine review range in this order:
1. Check local tracked and untracked changes:
```bash git diff --cached -U10 git diff -U10 git diff --cached --name-only git diff --name-only git ls-files --others --exclude-standard ```
2. If any staged tracked, unstaged tracked, or untracked files exist, review all of them as `local changes`. - Include staged tracked changes from `git diff --cached -U10`. - Include unstaged tracked changes from `git diff -U10`. - Include untracked file contents by reading the files directly or producing a pseudo-diff against `/dev/null`. - Do not exclude untracked files just because they are not staged. 3. If there are no local tracked or untracked changes, review the current branch against the base branch named by the user. 4. If the user did not name a base branch, resolve the current branch's parent with Git Town:
```bash CURRENT_BRANCH=$(git rev-parse --abbrev-ref HEAD) BASE_BRANCH=$(git-town config get-parent "$CURRENT_BRANCH" 2>/dev/null || true) ```
5. If Git Town does not return a parent branch, fall back to `main`, then `origin/main`.
For branch review, compute:
```bash CURRENT_BRANCH=$(git rev-parse --abbrev-ref HEAD) BASE_BRANCH="${USER_BASE_BRANCH:-$(git-town config get-parent "$CURRENT_BRANCH" 2>/dev/null || true)}" if [ -z "$BASE_BRANCH" ]; then BASE_BRANCH=main fi if ! git rev-parse --verify "$BASE_BRANCH" >/dev/null 2>&1 && git rev-parse --verify origin/main >/dev/null 2>&1; then BASE_BRANCH=origin/main fi BASE=$(git merge-base HEAD "$BASE_BRANCH") git diff -U10 "$BASE" git diff --name-only "$BASE" ```
If the named base, Git Town parent, and fallback default branches cannot be resolved, stop and ask for a valid base branch.
## Workflow
1. Check for staged tracked, unstaged tracked, and untracked files. 2. If any local changes exist, build the review packet from the staged diff, unstaged diff, and untracked file contents. Do not include branch commits in this mode. 3. If no local tracked or untracked changes exist, resolve the base branch from the user's request, or use `git-town config get-parent "$(git rev-parse --abbrev-ref HEAD)"` when no base is requested, then build the branch review diff from the merge base. 4. In local changes mode, list untracked files with `git ls-files --others --exclude-standard` and include their contents in the review packet. 5. Build a compact review scope: - review mode: `local changes` or `branch` - base branch and merge base, when in branch mode - inferred intent in one sentence - risk focus in one sentence - changed file list - untracked file list and confirmation that untracked file contents are included when in local changes mode 6. Do a local review pass first. Read surrounding files only where needed to understand behavior, contracts, and tests. 7. Decide whether subagents are worth it. Use zero to three reviewers based on the rubric below. 8. If using subagents, send each a narrow packet with only the files, diff excerpts, contract context, and risk lens it needs. Launch multiple selected reviewers in parallel, collect outputs, and close each subagent once its result is captured. 9. Validate or disprove returned findings against source before reporting. 10. Produce findings with high confidence only.
If subagents are unavailable, continue locally. Mention that only if it materially affects confidence or the user explicitly asked for subagents. For in-depth review, prefer more local source context before adding reviewers by default.
## Sub-Agent Selection
Use 0-3 reviewers total. Do not spawn reviewers merely because a language matches. Pick the smallest reviewer set that addresses real risk:
- `0` reviewers: docs-only changes, tiny diffs, mechanical renames, obvious follow-up fixes, generated updates, or low-risk code where the local pass gives high confidence. - `1` reviewer: normal non-trivial code change with one dominant risk or one language/framework-specific concern. - `2` reviewers: meaningful behavior change with two independent risk areas, such as Rust API shape plus tests, Vue reactivity plus accessibility, or public API contract plus security. - `3` reviewers: large/cross-module diffs, auth/security/data mutation, external APIs, migrations, concurrency, or explicit deep/adversarial review.
Prefer a language-specific reviewer when language/framework details are the dominant risk. Prefer generic risk reviewers when correctness, security, contracts, reliability, or testing are more important than language mechanics.
Use these plugin agents when available from the `rolling-wave-engineering` plugin:
- `correctness-reviewer`: default for behavior-changing code, logic, state, and regression risk. - `testing-reviewer`: default when behavior changes, tests changed, or coverage is uncertain. - `maintainability-reviewer`: default for non-trivial code changes or existing-file complexity. - `typescript-reviewer`: when files include `.ts`, `.tsx`, or TypeScript blocks in Vue SFCs. - `vue-reviewer`: when files include `.vue`, Vue composables, Pinia stores, Vue Router, or Nuxt files. - `rust-reviewer`: when files include `.rs`, `Cargo.toml`, `Cargo.lock`, `build.rs`, Rust FFI/bindgen code, unsafe Rust, async Rust, or concurrency-heavy Rust. - `security-reviewer`: when changes touch auth, permissions, public endpoints, secrets, user input, rendering untrusted content, or URL handling. - `api-contract-reviewer`: when changes touch API routes, request/response types, serializers, exported types, or public interfaces. - `reliability-reviewer`: when changes touch retries, timeouts, async handlers, jobs, cleanup, lifecycle, or error handling. - `adversarial-reviewer`: when the diff is large or touches high-risk areas such as auth, data mutation, external APIs, or cross-cutting state.
Use these document/spec reviewers only when reviewing rolling-wave docs, specs, plans, or slice artifacts rather than code:
- `coherence-reviewer` - `scope-guardian-reviewer` - `feasibility-reviewer` - `spec-flow-analyzer`
Fallback split when plugin agents are unavailable:
- Correctness and regressions - Contracts and data flow - Coverage and operational risk
Each sub-agent should be told to report only high-confidence findings in its assigned lens and to skip style-only comments or speculative refactors. Keep prompts narrow; do not ask every reviewer to review the whole diff.
Require each sub-agent to return a compact structured shape:
```json { "reviewer": "agent-name", "findings": [ { "severity": "P1|P2|P3", "file": "path", "line": 42, "title": "short issue", "why": "why this matters", "confidence": "high|medium", "pre_existing": false } ], "testing_gaps": [], "residual_risks": [] } ```
## Review Focus
Prioritize:
- Behavioral regressions - Incorrect edge-case handling - Broken assumptions across call sites or data flow - Missing validation, authorization, or error handling - State, caching, concurrency, or lifecycle bugs - Schema, API, and backward-compatibility risks - Missing or insufficient tests where the change meaningfully alters behavior
Distribute those priorities through selected specialists instead of asking every agent to cover everything.
Deprioritize:
- Pure style nits - Speculative refactors - Comments about formatting unless they hide a real problem
Do not invent issues to fill space. If no actionable findings are present, say so plainly and mention any residual uncertainty or testing gaps.
## Output
Present findings first, ordered by severity. For each finding, include:
- Severity - File reference and line reference when available - Short explanation of the issue and why it matters
After findings, include:
- Open questions or assumptions, if any - Brief change summary only if useful
Apply these filters before reporting:
- Report only issues you would defend with high confidence. - Medium-confidence findings may be reported only if two reviewers independently flag the same issue or it is a possible P0/P1 class defect. - Skip low-signal nits unless the user asked for exhaustive review. - Prefer a smaller set of sharp findings over a broad, noisy list. - Treat findings as duplicates when they cite the same file, nearby lines within about 3 lines, and the same underlying failure. Merge them, keep the higher severity, and note both reviewers if useful. - Re-check any borderline finding against the source before surfacing it. - Before reporting, verify cited lines, calibrate severity, remove linter/formatter-only issues, and ensure every finding has a concrete failure mode. - Put pre-existing issues in a separate `Pre-existing` section and do not count them against the reviewed change.
State the review mode explicitly: `local changes` or `branch changes against <base>`. If untracked files exist in local changes mode, include them in a `Coverage / Scope` note and state that their contents were reviewed. Include reviewer usage briefly: `Reviewers: 0 local-only`, `Reviewers: 1 <name>`, etc. End with `Verdict: Ready`, `Verdict: Ready with fixes`, or `Verdict: Not ready`.
## Constraints
- Perform code review only. - Do not modify files unless the user changes the task. - Do not run tests or linters. - Do not post to GitHub or any external system.
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 20, 2026
- Published
- Aug 20, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 74/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for code-review, ready for a manual X post.
code-review: Review local git changes before opening a PR or merging. First review all local tracked and u... 13 stars https://www.openagentskill.com/skills/rijkvanzanten-code-review?ref=x
Optional reply with install command
Listing + install path for code-review: https://www.openagentskill.com/skills/rijkvanzanten-code-review?ref=x Install: npx skills add rijkvanzanten/rolling-wave-engineering --skill code-review
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- rijkvanzanten
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to rijkvanzanten 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
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/rijkvanzanten-code-review)
[](https://www.openagentskill.com/skills/rijkvanzanten-code-review)
[](https://www.openagentskill.com/skills/rijkvanzanten-code-review/audit)
[](https://www.openagentskill.com/skills/rijkvanzanten-code-review)Author
rijkvanzanten
@rijkvanzanten
Tags
Platform fit
Health signals
- GitHub stars
- 13
- Quality score
- 32/100
- Last GitHub push
- Aug 17, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 6
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption13 GitHub starsFIX
- Stars/forks activity13 stars, 0 forks; issue activity unavailable in current metadataFIX
- Recent maintenance5d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, credential or environment accessCHECK
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