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github-issue-resolver

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.

ashwinhegde190 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install ashwinhegde19/github-issue-resolver

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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.

  2. 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/gu...
    

来源信息

Source
github
Repository
openclaw/skills
Path
skills/ashwinhegde19/github-issue-resolver
Version
—
Commit
508e39f3a7fdb6906e1272de8bd9871e14e31edb
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# 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](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:
   ```bash
   python3 scripts/guardrails.py repo <owner> <repo>
   ```
   If blocked, tell the user and stop.

2. **Fetch, score, and present issues** using the recommendation engine:
   ```bash
   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):
   ```bash
   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):
   ```bash
   python3 scripts/gu...

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