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Agent Skill · 研究检索

github-issue-resolver(GitHub issue resolver 搜索)

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

github-issue-resolver 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;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 2,993。

总安装 50,780周安装 2,159GitHub Stars 1下载 17,790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
1.0.0

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:github-issue-resolver(GitHub issue resolver 搜索)
来源仓库:https://github.com/ashwinhegde19/github-issue-resolver
安装命令:
openclaw skills install github-issue-resolver
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 github-issue-resolver

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。

用于自治式解决 GitHub 存储库中的未解决问题。适合发现、分析并修复 open issues。通过 clawhub 安装后,由“resolve issue”类指令触发。需 issue 读写权限和充分上下文理解能力。存在护栏机制防止误操作,但仍需人工监督。

github-issue-resolver 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 github-issue-resolver;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

    它需要需要联网,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

github-issue-resolver 怎么安装?

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

github-issue-resolver 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。

github-issue-resolver 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

github-issue-resolver 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。

github-issue-resolver 用的人多吗?

公开数据是累计安装 50,780 次,近一周安装 2,159 次,下载 17,790 次,GitHub 1 星。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。

github-issue-resolver 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
github-issue-resolver

GitHub issue resolver 搜索 · 本页

50,7801需要联网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
github-issue-resolver
description
Autonomous GitHub Issue Resolver Agent with guardrails. Use when the user wants to discover, analyze, and fix open issues in GitHub repositories. Triggers on requests like "fix GitHub issues", "resolve issues in repo", "work on GitHub bugs", or when the user provides a GitHub repository URL and asks for issue resolution. Supports the full workflow from issue discovery to PR submission with safety guardrails preventing scope creep, unauthorized access, and dangerous operations.

GitHub Issue Resolver

Autonomous agent for discovering, analyzing, and fixing open GitHub issues — with a 5-layer guardrail system.

⚠️ GUARDRAILS — Read First

Every action goes through guardrails. Before any operation:

  1. Load guardrails.json config
  2. Validate scope (repo, branch, path)
  3. Check action gate (auto/notify/approve)
  4. Validate command against allowlist
  5. Log to audit trail

For guardrail details, see references/guardrails-guide.md.

Key Rules (Non-Negotiable)

  • Never touch protected branches (main, master, production)
  • Never modify .env, secrets, CI configs, credentials
  • Never force push
  • Never modify dependency files without explicit approval
  • Never modify own skill/plugin files
  • One issue at a time — finish or abandon before starting new
  • All dangerous actions require user approval (write code, commit, push, PR)
  • Everything is logged to audit/ directory

Workflow

Phase 1 — Issue Discovery

Trigger: User provides a GitHub repository (owner/repo).

Steps:

  1. Validate repo against guardrails:
   python3 scripts/guardrails.py repo <owner> <repo>

If blocked, tell the user and stop.

  1. Fetch, score, and present issues using the recommendation engine:
   python3 scripts/recommend.py <owner> <repo>

This automatically fetches open issues, filters out PRs, scores them by severity/impact/effort/freshness, and presents a formatted recommendation.

Always use recommend.py — never manually format issue output. The script ensures consistent presentation every time.

For raw JSON (e.g., for further processing):

   python3 scripts/recommend.py <owner> <repo> --json

⏹️ STOP. Wait for user to select an issue.


Phase 2 — Fixing

Trigger: User selects an issue.

Steps:

  1. Lock the issue (one-at-a-time enforcement):
   python3 scripts/guardrails.py issue_lock <owner> <repo> <issue_number>
  1. Read full issue thread including comments.
  1. Clone the repo (Gate: notify):
   python3 scripts/sandbox.py run git clone https://github.com/<owner>/<repo>.git /tmp/openclaw-work/<repo>
  1. Create a safe branch (Gate: auto):
   python3 scripts/sandbox.py run git checkout -b fix-issue-<number>
  1. Explore codebase — read relevant files. For each file:
   python3 scripts/guardrails.py path <file_path>
  1. Plan the fix — explain approach to user:
   ## Proposed Fix
   - Problem: [root cause]
   - Solution: [what changes]
   - Files: [list of files and what changes in each]
   - Estimated diff size: [lines]

⏹️ STOP. Wait for user to approve the plan before implementing.

  1. Implement the fix (Gate: approve):

- Apply changes - Check diff size: python3 scripts/guardrails.py diff <line_count> - Log: python3 scripts/audit.py log_action write_code success


Phase 3 — Testing

After implementing:

  1. Find and run tests (Gate: notify):
   python3 scripts/sandbox.py run npm test   # or pytest, cargo test, etc.
  1. If tests fail AND autoRollbackOnTestFail is true:

- Revert all changes - Notify user - Suggest alternative approach

  1. If no tests exist, write basic tests covering the fix.
  1. Report results to user.

Phase 4 — Draft PR for Review (Approval REQUIRED)

⚠️ NEVER create PR automatically. Always ask first.

Do NOT dump full diffs in chat. For any non-trivial project, push the branch and let the user review on GitHub where they get syntax highlighting, file-by-file navigation, and inline comments.

  1. Commit changes (Gate: approve):
   python3 scripts/sandbox.py run git add .
   python3 scripts/sandbox.py run git commit -m "Fix #<number>: <title>"
  1. Show a change summary (NOT the raw diff) — keep it concise:
   ## Changes
   - **src/models.py** — Added field validation (title length, enum checks)
   - **app.py** — Added validation to POST endpoint, 400 error responses
   - **tests/test_app.py** — 22 new tests covering validation rules
   - 4 files changed, ~100 lines of source + ~150 lines of tests
   - All tests passing ✅
  1. Ask explicitly: "Ready to push and create a draft PR?"
  1. Only after user says "yes" (Gate: approve):
   python3 scripts/sandbox.py run git push -u origin fix-issue-<number>
   python3 scripts/sandbox.py run gh pr create --draft --title "..." --body "..."

Note: PRs are always created as draft by default. The PR body should include a detailed description of all changes, test results, and link to the issue (Closes #N).

  1. Share the PR link — user reviews on GitHub.
  1. Unlock the issue:
   python3 scripts/guardrails.py issue_unlock

Scripts Reference

ScriptPurposeRun Without Reading
scripts/recommend.pyPrimary entry point — fetch, score, and present issues✅
scripts/fetch_issues.pyRaw issue fetcher (used internally by recommend.py)✅
scripts/analyze_issue.pyDeep analysis of single issue✅
scripts/create_pr.pyPR creation wrapper✅
scripts/guardrails.pyGuardrail enforcement engine✅
scripts/sandbox.pySafe command execution wrapper✅
scripts/audit.pyAction logger✅

References

平台分布

OpenClaw

83.09%
按下载量换算14,782

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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