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Address and resolve PR review feedback — find threads, classify findings, fix or reply, resolve threads via GitHub GraphQL, and know when NOT to re-request review.
pr-feedback is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # PR Feedback — Address & Resolve Playbook for the `pr_review` phase (and any post-PR-creation feedback loop). Covers the exact mechanics learned on real frndOS. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding pr-feedback to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install alva-intelligence/agentic-workflowsReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# PR Feedback — Address & Resolve Playbook for the `pr_review` phase (and any post-PR-creation feedback loop). Covers the exact mechanics learned on real frndOS PRs: how to find ev