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review-local评论本地

Agent Skill

review-local 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

238

周安装

10

GitHub Stars

10

下载量

83
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:review-local(评论本地)
来源仓库:https://github.com/inkeep/team-skills
仓库路径:skills/review-local
安装命令:
npx skills add https://github.com/inkeep/team-skills --skill review-local
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/inkeep/team-skills --skill review-local

简介

review-local 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Local Review

Run the local AI review convergence loop on the current branch. This skill dispatches domain-specific reviewers against your code, produces a structured review summary, and runs a bounded fix convergence loop — all without GitHub or a PR.

Use this as a quality checkpoint anytime you have code on a feature branch: before pushing, mid-development, or as a standalone review outside /ship.


How to invoke

Do not over-prepare. When the user asks you to run /review-local, run the script. Do not create branches, stage files, or commit on behalf of the user — the script works on the current branch state (committed + staged + unstaged).

The script path is relative to the /ship skill directory (this skill shares scripts with /ship): plugins/eng/skills/ship/scripts/run-local-review.sh

Always run with run_in_background: true — the review dispatches 17 parallel reviewers and runs fix passes, routinely exceeding the 600-second Bash timeout:

Bash(command: "<absolute-path-to-skill>/scripts/run-local-review.sh [options]",
     run_in_background: true,
     description: "Local review")

Use the absolute script path. Do not rely on CWD being correct — your shell CWD may differ from the target repo. The script resolves the repo root via git rev-parse --show-toplevel from the CWD where it is invoked, so if your CWD is a different repo, the review will run against the wrong codebase. Always invoke with the full absolute path and ensure you are in the correct repo directory.


What it runs

The script:

  1. Stages the portable PR review bundle into tmp/ship/pr-review-plugin/
  2. Dispatches 17 parallel domain-specific reviewers (via the Agent tool in their own sessions)
  3. Aggregates findings into a structured review summary
  4. Runs a bounded fix convergence loop when findings are blocking

Options

OptionDefaultDescription
--target <branch>Auto-detect (repo default branch)Branch to diff against
--max-fix-passes <n>5Maximum autonomous repair passes
--docker [compose-file]Host executionRun inside the repo's Docker sandbox
--spec <path>From state.json if existsSPEC.md path to include in repair prompts
--allow-blockingExit non-zero on blockingAccept a blocking result — exit 2 with reason allow_blocking instead of entering repair loop

Output files

All output goes to tmp/ship/:

FileDescription
review-output.mdLatest review summary (markdown)
review-status.jsonParsed status — recommendation, risk, issue counts, blocking flag, deferredFindings[]
review-iteration-log.mdFull review/fix history across iterations
local-review-runs/<run-id>/Forensic trail per review pass

Standalone usage (no /ship, no state.json)

The script works without any /ship artifacts:

  • Creates tmp/ship/ if missing
  • Detects quality gates from package.json when no state.json exists (looks for test, typecheck, lint scripts)
  • Gracefully handles missing /ship-specific files (spec.json, progress.txt, codebase-context.md — all produce _Not available._ in prompts)
  • Assessment protocol still loads from the staged review bundle

Examples

# Default: review + auto-fix loop (up to 5 passes)
<ship-skill-base>/scripts/run-local-review.sh

# Review against a specific branch
<ship-skill-base>/scripts/run-local-review.sh --target develop

# Review + fix loop (up to 2 passes)
<ship-skill-base>/scripts/run-local-review.sh --max-fix-passes 2

# Run inside Docker sandbox
<ship-skill-base>/scripts/run-local-review.sh --docker

Interpreting results

The script emits a structured return payload to stdout at exit with three delimited sections:

  1. Exit envelope (=== LOCAL REVIEW EXIT ===): Always present. Contains exit_code, exit_reason, pass counts, fix commit SHAs, last_recommendation, blocking status, duration, and file pointers.
  2. Review status (=== REVIEW STATUS ===): Parsed review-status.json content — recommendation, risk, issue counts, blocking reasons. Present on all non-crash exits.
  3. Iteration log (=== REVIEW ITERATION LOG ===): Full history of review passes and fix responses. Only included on non-zero exits (blocking/fatal) to provide remediation context.

Exit reasons:

exit_reasonExit codeMeaning
converged0Pure APPROVE — gate is green
fixer_no_changes2Fixer declined/deferred all findings, no code changed — re-reviewing would be identical
max_passes_exhausted2Still blocking after all fix passes
allow_blocking2Blocking, but --allow-blocking was set
fatal_error1Script crashed (staging, review, or parse failure)

You can also check review-status.json directly for the gate status:

  • APPROVE: Review passed — gate is green, script exits 0.
  • APPROVE WITH SUGGESTIONS: Suggestions remain. The script treats this as not-yet-converged and will attempt fix passes. Only pure APPROVE exits green.
  • REQUEST_CHANGES with Critical/Major findings: Review is blocking.

Do not blindly apply every suggestion. Validate each finding against the diff, codebase patterns, and your intent before acting.

If you are assessing review findings yourself (e.g., the automated fix loop exited non-zero and you are triaging the remaining findings manually), use the Skill tool to invoke /assess-findings before assessing any finding. Do not evaluate findings without it.

Persisting declined findings

After assessment completes (whether by the automated fix loop or manual triage), append a deferredFindings array to review-status.json containing findings from the /assess-findings Declined Findings Summary (Phase 7) where Future-relevant: Yes. Each entry:

{
  "finding": "writeTracker coupling across modules",
  "classification": "Pre-existing, out of scope",
  "evidence": "Valid encapsulation concern, not caused by this PR"
}

If no future-relevant declined findings exist, set "deferredFindings": []. This array is consumed by /ship, which persists items to state.json's deferredScope[] and surfaces them in the Ship Summary.


Relationship to /ship

/ship invokes the same run-local-review.sh script directly in Phase 4: Review gate — pre-QA (/review-local) and Phase 6: Review gate — post-QA (/review-local). /ship does not load this skill — it calls the script as an orchestrator. This skill exists for standalone human invocation outside /ship.

ContextHow invoked
Standalone (developer runs /review-local)This skill — tells the LLM what to run and where to find results
Within /ship (Phase 4 /review-local, Phase 6 /review-local)Script invoked directly by /ship orchestrator

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

39.18%
按下载量换算33

Claude

27.68%
按下载量换算23

Cursor

20.34%
按下载量换算17

Gemini CLI

8.6%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/inkeep/team-skills --skill review-local 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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