review-code
Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests. Use for pull requests, branches, commits, patches, or working-tree reviews; do not use for implementation unless the user separately requests fixes.
- License 许可
- Apache-2.0
- 最近更新
- 2026-11-13
- Stars
- ★ 1.6k
- Forks
- 483
01 前言 Front Matter
- name
- review-code
- description
- Review code changes for correctness defects, regressions, security risks, data-integrity problems, concurrency hazards, and missing meaningful tests. Use for pull requests, branches, commits, patches, or working-tree reviews; do not use for implementation unless the user separately requests fixes.
02 资源文件 3
- 参考文档agents/openai.yaml224 B
- 参考文档references/review-checklist.md1.5 KB
- 参考文档references/review-lenses.md1.3 KB
03 SKILL.md 正文
Review Code
Workflow
- Establish the review target and comparison base.
- Inspect the diff, then trace changed behavior through callers, contracts, persistence, side effects, and tests.
- Inspect the target, isolation, fixtures, and side effects before running a narrow check that materially confirms a suspected issue.
- Rank findings by impact and confidence; remove duplicates and speculation.
- Return findings first, followed by open questions and a short summary.
Use correctness as the default lens. For large, risky, or requirement-heavy changes, add the standards and specification lenses in references/review-lenses.md. Keep each finding tied to its source; documented rules and acceptance criteria outrank personal preference.
Finding standard
Each finding must include:
- severity;
- precise file and line or symbol;
- the failing scenario or invariant;
- user or system impact;
- evidence or a reproduction path;
- a concise fix direction when clear.
Do not report style preferences, theoretical risks without a reachable path, or issues outside the change unless the diff materially exposes them.
Review boundaries
- Review in read-only mode by default.
- Do not run production-integrated, shared-environment, or destructive tests without explicit authorization and verified isolation.
- Do not modify, comment, approve, or request changes on a remote PR unless asked.
- Do not equate passing tests with correctness.
- Do not treat generated code or lockfile churn as a defect without understanding its source.
- Respect repository-specific compatibility and risk rules.
- State when a claim was not reproduced.
Checklist
Read references/review-checklist.md when the change touches APIs, data, authorization, concurrency, infrastructure, or tests.
Output
If there are no actionable findings, say so directly and name residual unverified areas. Keep the summary shorter than the findings.
04 同仓库更多 Skills
migrate-to-e2e
Moves an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for /migrate-to-e2e, "migrate our tests to e2e", "port these Maestro flows", "move our TesterArmy tests", or when a project has an e2e config and an older suite still running.
e2e
Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.
create-verification-skill
Generate a project-local verify-<app> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for /create-verification-skill, "make a verification skill for this repo", or when a project has no scripted way to prove UI behavior.
deja-search
deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.
deja-reflect
End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.
revid
Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.