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Agent Skill · 研究检索

gh-pr-review-loop(gh 公关审查循环)

gh-pr-review-loop 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

gh-pr-review-loop 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 31,227。

总安装 2,742周安装 112GitHub Stars 公开资料未说明下载 887核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.2

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:gh-pr-review-loop(gh 公关审查循环)
来源仓库:https://github.com/stevetdp/gh-pr-review-loop
安装命令:
openclaw skills install gh-pr-review-loop
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install gh-pr-review-loop

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

通过迭代循环驱动 GitHub 拉取请求的审查与修复过程。适合需要持续跟进 PR 状态、处理反馈并自动推进修改的场景。可与 Codex 等代理配合,实现 PR 创建、监控与闭环管理。安装命令:openclaw skills install gh-pr-review-loop,适用于 OpenClaw。

使用前应确认分支存在性及用户权限,防止误操作或 API 调用失败。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install gh-pr-review-loop;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

gh-pr-review-loop 怎么安装?

在终端执行 openclaw skills install gh-pr-review-loop。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gh-pr-review-loop 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

gh-pr-review-loop 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

gh-pr-review-loop 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

gh-pr-review-loop 用的人多吗?

公开数据是累计安装 2,742 次,近一周安装 112 次,下载 887 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

gh-pr-review-loop 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
gh-pr-review-loop

gh 公关审查循环 · 本页

2,742—调用外部服务MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
gh-pr-review-loop
description
Drive a GitHub pull request through an iterative review-and-fix loop. Use when Codex needs to create a PR if none exists for the current branch, inspect review comments, decide whether each comment is valid, implement fixes, maintain the branch in the history shape the user requested such as a single amended commit on top of the latest remote main, push the branch, resolve fixed review threads, watch GitHub Actions, and keep polling until an automated reviewer gives a final thumbs-up reaction or the user explicitly changes the stop condition.
metadata
{"openclaw":{"requires":{"bins":["git"],"anyBins":["gh"],"env":["GITHUB_TOKEN"]},"primaryEnv":"GITHUB_TOKEN","env":[{"name":"GITHUB_TOKEN","description":"Optional GitHub token for gh/git when host GitHub MCP or existing git credentials are not used. Scope it to the target repository and branch where possible.","required":false,"sensitive":true}]},"clawdbot":{"requires":{"bins":["git"],"anyBins":["gh"],"env":["GITHUB_TOKEN"]},"primaryEnv":"GITHUB_TOKEN"}}

GitHub PR Review Loop

Goal

Take ownership of the full post-PR loop. Create the PR if it does not exist yet, then keep iterating until the stop condition is met instead of stopping after a single fix or a single green CI run.

Access And Safety

  • Use only GitHub access already provided by the host environment, such as the configured github MCP server, gh CLI auth, or the local git credential helper. Do not ask the user to paste tokens into chat, and do not read secret files.
  • Before any edit, push, PR mutation, or review-thread resolution, verify that the repository, PR, active branch, and intended history strategy match the user's request.
  • Treat missing GitHub permissions, missing git remote auth, or an ambiguous target repository/branch as a real blocker and report it instead of guessing.
  • Limit history rewrites and force pushes to the active PR head branch. Never force-push a default, base, protected, or unrelated branch.
  • Only use this skill for explicit PR review-loop work, such as handling review comments, keeping a PR branch green, or waiting for reviewer approval.

Start

  • Identify the repository, PR number, active branch, and any user constraints before editing anything.
  • Check whether a PR already exists for the current branch. If not, create one before entering the review loop.
  • Check whether the user wants a single commit, --amend, separate commits, rebasing onto latest main, or a waiting window such as "poll every 10 minutes".
  • If the user says the branch must stay as one squashed commit, interpret that strictly: keep exactly one commit on top of the current remote base, use git commit --amend --no-edit for follow-up fixes, and avoid creating extra local commits unless you are about to squash them away immediately.
  • If the user says the branch must stay based on the latest main, treat origin/main as the source of truth. Fetch it before each history rewrite that will be pushed, then rebase or rebuild the branch so the published head still sits on top of the latest remote main.
  • Assume automated review is triggered by the repository itself unless the user explicitly says to summon it. Do not post @codex review or similar reviewer-ping comments by default.
  • Check the current git state before rewriting history. Do not overwrite unrelated work.
  • Prefer non-interactive git commands. Use --force-with-lease when rewriting published history.
  • Default to persistence only after the target repo, PR, branch, and history strategy are clear. Once the loop starts, do not stop midstream to ask whether to continue watching for reviews unless you hit a real blocker that cannot be resolved from local or remote context.

Source Of Truth

Do not rely on one surface only. Review state is usually split across multiple places.

  • Use GitHub review threads as the primary source for unresolved inline comments.
  • Use PR conversation comments and review summaries to catch top-level bot reviews.
  • Use PR reactions to detect automated reviewer status markers such as eyes or final +1.
  • Use gh pr checks and gh run watch for required CI state.

If review threads say everything is resolved but the bot keeps commenting, re-check both the review timeline and reactions. Inline-only polling is not enough.

Work Loop

  1. Find or create the PR for the current branch.
  2. Fetch current review state, unresolved threads, conversation comments, reactions, and CI status.
  3. Pick the next actionable comment and inspect the exact file and code path before changing anything.
  4. Decide whether the comment is a real bug, a partial truth that needs a broader hardening pass, or a false alarm.
  5. Implement the fix and add regression tests when behavior changes.
  6. Run targeted validation first, then the broader checks required by the repository or the user.
  7. Update git history in the form the user asked for.
  8. Push the branch.
  9. Resolve the review thread only after the fix is actually on the remote branch.
  10. Watch CI until the latest required run finishes.
  11. Wait and poll again for new feedback until the stop condition is met.

Fixing Review Comments

  • Read the exact comment text and the cited file/line range. Do not infer a narrower issue than the reviewer actually reported.
  • When multiple comments share the same root cause, prefer a single stronger fix over a sequence of tiny patches.
  • If a comment looks questionable, verify it against the current code and tests before dismissing it.
  • When the user asked for review handling, do the implementation work directly instead of only summarizing a plan.

Validation

  • Start with the smallest test slice that proves the fix.
  • Run lint and type checks for the edited scope.
  • Run the larger suite required by repo policy when practical.
  • If CI has known flakes, confirm they are the same flaky failures before rerunning them.
  • When reporting status, mention the concrete failing or passing check name and run id if relevant.

Git And PR Updates

  • Respect the user's history preference.
  • If there is no PR for the current branch, create one instead of waiting for the user to ask.
  • If the user wants one commit, keep amending that single commit.
  • If the user wants a clean branch based on latest remote main, rebase or rebuild onto origin/main before the final push.
  • If you discover the branch is not based on the latest remote base branch, immediately fetch and rebase onto that latest remote branch before continuing the PR loop.
  • If the user wants both, enforce both on every iteration: fetch origin/main, rewrite the branch onto that tip, keep the branch as a single commit, then push with --force-with-lease.
  • When a temporary commit is unavoidable during local repair work, squash it back into the single published commit before pushing. Do not leave multiple commits on the branch between review-loop iterations.
  • Push after local validation, then re-check the PR state from the remote, not from local assumptions.
  • Resolve threads that are fixed. Leave unresolved anything that still needs proof or follow-up.
  • Do not ping or @ the reviewer unless the user explicitly asks for that. This includes automated reviewers such as @codex.

Waiting And Polling

  • Treat eyes from an automated reviewer as "still processing", not done.
  • Assume the automated reviewer will start on its own when the repository is configured that way; do not try to kick it manually unless the user explicitly asks.
  • Treat a final +1 or thumbs-up reaction from the automated reviewer as the default completion signal for this skill unless the user explicitly changes the stop condition.
  • If the user asked for a waiting window, keep polling on that cadence instead of stopping after one green pass.
  • While waiting for comments, also make sure the latest CI run stays green.
  • Do not stop after green CI, resolved threads, or a quiet PR if the automated reviewer has not yet produced its final thumbs-up reaction.
  • Do not pause mid-loop to ask the user whether to keep monitoring. Keep polling until the stop condition is met or you hit a real blocker such as missing permissions, missing GitHub access, or a reviewer system that is unavailable.

Stop Condition

Stop only when the requested completion condition is satisfied. Default completion criteria for this skill are:

  • No unresolved actionable review threads remain.
  • The latest required CI checks are passing.
  • The automated reviewer has stopped producing new feedback.
  • The automated reviewer has added a final thumbs-up reaction.

Do not treat "no new comments yet" as completion. Do not stop merely to ask whether to continue waiting. Only stop early if the user explicitly changes the stop condition or a hard blocker prevents further progress.

Useful Commands

git fetch origin main
gh pr checks <pr-number> --repo <owner/repo>
gh run watch <run-id> --repo <owner/repo> --exit-status --interval 30
gh run rerun <run-id> --repo <owner/repo>
git commit --amend --no-edit
git push --force-with-lease

Reporting Back

  • State what was fixed, what was validated, and what the current PR/CI/review state is.
  • Include exact PR numbers, run ids, and commit SHAs when they matter.
  • If you are still in the waiting loop, say that explicitly instead of sounding finished.
  • During the loop, give status updates without asking whether to continue unless a real blocker requires user intervention.

平台分布

OpenClaw

97.22%
按下载量换算862

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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