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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 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install ashwinhegde19/github-issue-resolver

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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...
    

Source information

Source
github
Repository
openclaw/skills
Path
skills/ashwinhegde19/github-issue-resolver
Version
—
Commit
508e39f3a7fdb6906e1272de8bd9871e14e31edb
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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