rabbit-round
Skill274 starsChanged 16 days agoApache-2.0View on GitHub
Process one evidence-backed round of automated pull-request review comments from CodeRabbit, Gemini, Copilot, Devin, Greptile, and similar bots.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- stella/ai-sharedword for word, first seen Jun 2, 2026
Other versions1 project uses a version of this.
Word for word · 1
- stella/ai-shared★ 0100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository44 other files it gives its agents.
- AGENTS.mdAGENTS.md
- conventions-aiSkill
- conventions-dbSkill
- conventions-i18nSkill
- conventions-ingestionSkill
- conventions-mcpSkill
- conventions-perfSkill
- conventions-scaleSkill
- conventions-securitySkill
- conventions-testingSkill
- conventions-use-effectSkill
- conventions-uxSkill
- devSkill
- finish-prSkill
- open-prSkill
- planSkill
- product-deep-thinkSkill
- product-thinkSkill
- regression-huntSkill
- security-auditSkill
- test-mobileSkill
- update-depsSkill
- conventions-aiSkill
- conventions-dbSkill
- conventions-i18nSkill
- conventions-ingestionSkill
- conventions-mcpSkill
- conventions-perfSkill
- conventions-scaleSkill
- conventions-securitySkill
- conventions-testingSkill
- conventions-use-effectSkill
- conventions-uxSkill
- devSkill
- finish-prSkill
- open-prSkill
- planSkill
- product-deep-thinkSkill
- product-thinkSkill
- rabbit-roundSkill
- regression-huntSkill
- security-auditSkill
- test-mobileSkill
- update-depsSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Every handled finding is recorded in the PR body (Section 4).
- Distinctive: line 36
Do not rely only on the REST review-comments list: it does not represent thread resolution or the complete conversation reliably.
- Distinctive: line 56
Read the cited code and applicable instructions before deciding.
- Very specific: line 66
Commit and push the implementation before recording it as fixed.
- Distinctive: line 84
not changing, with the evidence for the pushback: a concrete repository constraint or technical reason
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Rabbit Round
Process one round of automated review feedback. Use /finish-pr when the user
wants repeated monitoring until a pull request converges. Never request an
automated review; handle the threads that arrive on their own.
1. Capture the Review State
Resolve the repository, PR, current head SHA, requester identity, draft state, and current PR body. Fail visibly if the PR cannot be identified.
Pin every GitHub query and mutation to the resolved full owner/name repository
and PR number; never rely on the checkout's implicit repository or branch. Require
each fetched PR's repository identity, number, and headRefOid to match the
captured identity. Before editing the PR body or resolving a thread, refetch that
exact PR and stop if its head changed; results from one head never authorize a
mutation on another.
This workflow never posts GitHub comments, review-thread replies, or reviews. Every handled finding is recorded in the PR body (Section 4); the only thread mutation it performs is resolving a bot-only thread once its disposition is recorded and that disposition's prerequisite holds.
Fetch paginated review threads through GitHub GraphQL so unresolved state and every comment in a thread are preserved. Fetch top-level issue comments separately. Record every participant in a thread, which comments apply to the current head, and which are stale. Classify participants from a fresh fetch: every participant must be a confirmed allowed bot, and a human, 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.
- Defer: accepted, but landing in a named follow-up PR because the enclosing workflow's review budget is spent. Only with the follow-up PR's URL, and every defer in one run names the same PR. Never for a verified release-blocking defect (security, authorization, data loss, corruption): those are fixed on the current head.
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 Recording
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 recording it as fixed. Push a new
branch normally; use --force-with-lease only after intentionally rebasing a
published branch. Capture the resulting head SHA. A newly published head cannot
be clean in the same pass, even when GitHub has not registered checks or
reviewers yet; classify it using the Section 5 precedence.
4. Record Dispositions in the PR Body
Record one entry in the PR body for each handled bot finding, whether it came from a review thread or a top-level comment. Key the entry by the finding's review-thread or comment node ID (or its URL), so two findings from one reviewer on one file stay distinct; add the reviewer and file or topic for readers. Keep each entry short and factual:
- implemented in
<sha>, with the relevant behavior and the evidence that shows it (a test, a check, or the changed code) - implemented with an adjustment in
<sha>, and why the adjustment holds - already addressed, with the code or commit that proves it
- not changing, with the evidence for the pushback: a concrete repository constraint or technical reason
- deferred to a named follow-up PR, with its URL
Refetch the PR body immediately before editing it and change only the dispositions section, so concurrent edits to the rest of the body survive. Do not claim a check passed unless it ran successfully on the reported head.
Resolve a review thread only once its PR body entry is recorded and the disposition's own prerequisite holds:
- implemented (with or without an adjustment): the fix commit is on the current head
- already addressed: the code or commit that proves it is on the current head
- pushback: its evidence is recorded in the PR body
- deferred: the named follow-up PR exists and is linked in the PR body
Refetch the thread first and triage any new bot finding in it. In every case, resolve it only when every participant is a confirmed allowed bot; any human, unknown, mixed-participant, or uncertain participant leaves the thread open.
Top-level bot comments have no resolution state: the PR body entry is the whole disposition there. Do not minimize bot summaries by default.
5. Recheck the Current Head
Refresh the PR after the push and report one status. Apply this precedence:
failing_ci > needs_changes > pending_bots > clean.
failing_ci: a current-head required check is known to have failed, regardless of pending reviewers, actionable feedback, or a push in this roundneeds_changes: no required check is known to have failed, but actionable automated feedback remainspending_bots: no required check is known to have failed and no actionable automated feedback remains, but this round pushed the current head or a current-head automated review or required check is still runningclean: all current-head automated reviewers are terminal, required checks are green, and no actionable automated finding remains in a review thread or top-level comment. A top-level finding whose PR body entry defers it to a follow-up PR's URL is no longer actionable on later rounds, unless it names a verified release-blocking defect: no defer makes one of those non-actionable, and the status staysneeds_changesuntil it is fixed on the current head
Preserve the PR's explicit draft state. This skill performs one pass; it does not schedule polling, merge, deploy, or bypass protections.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

