
from agents-collection80
Fetch GitHub issues, spawn automated sub-agents to implement fixes and open PRs, and monitor PR review comments for follow-up fixes.
A full orchestrator skill that fetches issues from a GitHub repo, performs pre-flight checks, and spawns focused sub-agents to implement fixes and open pull requests. It also monitors PRs for review comments and can spawn review-fix agents to address requested changes. The skill is designed for automated issue triage and fix workflows.
Use this skill when you want to automatically process GitHub issues at scale: fetching filtered issues, launching code-fix agents for actionable items, and keeping PRs updated in response to reviewer feedback. It supports cron mode, watch mode, dry-run, and fork-based workflows.
Best suited for OpenClaw/OpenAI-style orchestrators and LLM-driven automation platforms that can run shell commands (curl/git) and spawn sub-agents (sessions_spawn).
GitHub Issues orchestrator skill that fetches issues, spawns sub-agents to implement fixes, and monitors PR review comments. Well-structured 6-phase workflow with detailed instructions for parallel sub-agent spawning, fork mode, and cron operation. No bundled scripts — all logic is in the SKILL.md prompt. Security concerns around embedded token handling patterns and shell injection risks in template variables.
Comprehensive orchestration skill with good structure. Main security concern is shell injection via untrusted GitHub issue content interpolated into commands — the {body}, {title}, {labels} variables come from external API responses and are used in git commit messages, curl JSON payloads, and shell commands without escaping. The credential.helper global override is also concerning. Token handling patterns expose secrets to sub-agent context and process argument lists.
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