Automates GitHub issue fixes by spawning sub-agents that create PRs and address review comments.
npx skills add https://github.com/srgaba/open-claw --skill gh-issues-srgaba
Please help me install this Agent Skill. Skill: gh-issues Source: https://github.com/srgaba/open-claw/tree/main/project/skills/gh-issues Command: npx skills add https://github.com/srgaba/open-claw --skill gh-issues-srgaba
/gh-issues myorg/myrepo --label bug --limit 5 --watch to continuously pick up new bug reports, auto-fix them, open PRs, and respond to reviewer feedback without manual intervention. ## Quick Start Ask the agent to run /gh-issues on your repository, for example: fetch open bug issues from owner/repo, fix them with sub-agents, and open pull requests.High-intent search queries and answers about installing and using this skill.
Run /gh-issues with a target repository, and the skill fetches open issues via the GitHub REST API, then spawns parallel sub-agents that create branches, implement fixes, run tests, and open pull requests. Use flags like --label and --limit to control which issues are processed.
Use the --reviews-only flag to skip issue processing and only monitor open fix/issue-* PRs. The skill fetches reviews, inline comments, and embedded bot feedback, identifies actionable items, and spawns agents to implement the requested changes and reply to reviewers.
No, the skill explicitly avoids the gh CLI and uses curl with the GitHub REST API for all operations. It only requires curl, git, and a GH_TOKEN environment variable for authentication.
Yes, pass --fork user/repo to push branches to your fork while issues are fetched from the source repo. PRs are then opened from the fork's branch to the source repository's base branch.
Pre-flight checks detect existing open PRs, existing fix/issue-* branches on the push repo, and recent claim records from prior runs. Matching issues are skipped to avoid duplicate work, and expired claims older than two hours are cleaned up.
Sub-agents perform a confidence check before implementing. If the issue is vague, the relevant code cannot be located, or the scope is too large, the agent rates confidence below 7 and reports a skip reason instead of guessing at a fix.
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