rabbit-round
GitHub处理自动化PR审查反馈,分类并实施代码修复,验证后回复评论。支持CodeRabbit等工具的多轮收敛监控。
Trigger Scenarios
Install
npx skills add stella/stella --skill rabbit-round -g -y
SKILL.md
Frontmatter
{
"name": "rabbit-round",
"description": "Process one evidence-backed round of automated pull-request review comments from CodeRabbit, Gemini, Copilot, Devin, Greptile, and similar bots."
}
Rabbit Round
Process one round of automated review feedback. Use /finish-pr when the user
wants repeated monitoring until a pull request converges.
1. Capture the Review State
Resolve the repository, PR, current head SHA, requester identity, draft state, and applicable comment-attribution rules. Fail visibly if the PR cannot be identified.
Fetch paginated review threads through GitHub GraphQL so unresolved state and thread replies are preserved. Fetch top-level issue comments separately. Record every participant and reply author in a thread, which comments apply to the current head, and which are stale. Treat a thread as bot-authored only when every participant is a confirmed allowed bot; a mixed or uncertain thread follows the human-thread rules.
Do not rely only on the REST review-comments list: it does not represent thread resolution or the complete conversation reliably.
2. Triage Every Actionable Bot Finding
Classify each unresolved bot review thread and each actionable top-level bot comment:
- Accept: correct and improves safety, behavior, tests, or maintainability.
- Accept with adjustment: the concern is valid but the proposed fix conflicts with repository structure or a stronger invariant.
- Already addressed: current code or a pushed commit demonstrably resolves it.
- Push back: incorrect, stale, speculative, or contrary to documented constraints.
Read the cited code and applicable instructions before deciding. Treat security, authorization, data loss, and compatibility claims as hypotheses to verify, not as votes to accept automatically. Never modify or resolve human review threads.
3. Implement Before Replying
Apply accepted changes, including tests when they cover a real failure mode. Run focused checks while iterating and the repository's canonical affected-change or CI-equivalent verification before publication when practical.
Commit and push the implementation before saying it is fixed. Push a new branch
normally; use --force-with-lease only after intentionally rebasing a published
branch. Capture the resulting head SHA. If this round pushes a new head, its
final status is pending_bots even when GitHub has not registered checks or
reviewers yet; a newly published head cannot be clean in the same pass.
4. Reply With Verifiable Evidence
Reply in the review thread or top-level issue conversation for each handled bot finding. Keep responses short and factual:
- implemented in
<sha>with the relevant behavior - implemented with an adjustment and why
- already addressed, with the code or commit that proves it
- not changing, with a concrete repository constraint or technical reason
Follow repository attribution rules for GitHub comments. Do not claim a check passed unless it ran successfully on the reported head.
After replying, resolve only review threads whose every participant is a confirmed allowed bot and that are implemented, already addressed, or answered with a supported pushback. Leave human, mixed-participant, and uncertain threads open. Top-level comments have no thread-resolution state; do not minimize bot summaries by default.
5. Recheck the Current Head
Refresh the PR after the push and report one status:
clean: all current-head automated reviewers are terminal, required checks are green, and no actionable automated finding remains in a review thread or top-level commentpending_bots: this round pushed the current head, or a current-head automated review or required check is still runningneeds_changes: actionable automated feedback remainsfailing_ci: a current-head required check failed
Preserve the PR's explicit draft state. This skill performs one pass; it does not schedule polling, merge, deploy, or bypass protections.
Version History
-
dd81665
Current 2026-08-16 07:09
优化工作流以收紧自动化审查收敛逻辑,改进技能隔离与开发工具链。
- 85792bd 2026-07-24 16:11


