pr-review-fix
Skill517 starsChanged 3 days agoMITView on GitHub
Codex adapter for addressing pull request review feedback in opencode-swarm. Use when the user asks to fix PR review comments, requested changes, reviewer findings, CI-review notes, or a pasted review summary with low false-positive tolerance.
We split this skill into the rules it gives an agent
6 rules. 0 are common, 2 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 11
Read ../../../.opencode/skills/swarm-pr-feedback/SKILL.md for the canonical workflow.
- Distinctive: line 16
Treat each review item as a claim to verify against the current branch or live PR head before editing.
- Very specific: line 17
Use the GitHub app when available, or gh, to inspect unresolved review threads and PR metadata.
- Very specific: line 19
Use rg, file reads, and tests to classify each item as confirmed, disproved, pre-existing, or unverified.
- Distinctive: line 21
Do not resolve GitHub review threads unless the user explicitly instructs it.
- Very specific: line 24
When review feedback involves tests, also load $writing-tests.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
PR Review Fix
Compatibility adapter. Prefer $swarm-pr-feedback for all new PR feedback work.
Read ../../../.opencode/skills/swarm-pr-feedback/SKILL.md for the canonical
workflow.
Codex-specific execution notes:
- Treat each review item as a claim to verify against the current branch or live PR head before editing.
- Use the GitHub app when available, or
gh, to inspect unresolved review threads and PR metadata. - For bot or app reviews, inspect both the review comment and any commits the bot pushed; compare each claim against branch history and current code before classifying it.
- Use
rg, file reads, and tests to classify each item as confirmed, disproved, pre-existing, or unverified. - Patch only confirmed gaps unless the user explicitly asks for speculative cleanup.
- Do not resolve GitHub review threads unless the user explicitly instructs it.
- Load
.agents/skills/commit-pr/SKILL.mdbefore committing, pushing, or updating the PR.
When review feedback involves tests, also load $writing-tests; when it involves runtime invariants, also load $engineering-conventions.
Other versions4 projects use a version of this.
Word for word · 1
- ZaxbyHub/opencode-swarm★ 517100% same
Edited · 0
None found.
Wrote their own version · 3
- TencentCloudBase/CloudBase-AI-Toolkit★ 1.2ksame name
- TencentCloudBase/CloudBase-AI-ToolKit★ 1.2ksame name
- TencentCloudBase/CloudBase-MCP★ 1.2ksame name
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 repository66 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- ci-fix-monitorSkill
- codebase-review-swarmSkill
- commit-prSkill
- contributingSkill
- engineering-conventionsSkill
- fork-pr-operationsSkill
- guardrail-patternsSkill
- issue-tracerSkill
- mock-to-internals-migrationSkill
- qa-sweepSkill
- research-firstSkill
- running-testsSkill
- subprocess-safetySkill
- swarm-ci-monitorSkill
- swarm-implementSkill
- swarm-pr-feedbackSkill
- swarm-pr-reviewSkill
- swarm-pr-subscribeSkill
- swarmSkill
- tech-debt-ci-reviewSkill
- test-file-splitSkill
- unswarmSkill
- writing-testsSkill
- brainstormSkill
- clarifySkill
- clarify-specSkill
- codebase-review-swarmSkill
- commit-prSkill
- consultSkill
- councilSkill
- critic-gateSkill
- deep-diveSkill
- deep-researchSkill
- design-docsSkill
- discoverSkill
- durable-session-stateSkill
- editing-skillsSkill
- engineering-conventionsSkill
- executeSkill
- fork-pr-operationsSkill
- graphifySkill
- issue-ingestSkill
- issue-tracerSkill
- orchestrating-subagentsSkill
- phase-wrapSkill
- pre-phase-briefingSkill
- qa-sweepSkill
- research-firstSkill
- rust-crate-ciSkill
- specifySkill
- swarm-ci-monitorSkill
- swarm-implementSkill
- swarm-planSkill
- swarm-pr-feedbackSkill
- swarm-pr-reviewSkill
- swarm-pr-subscribeSkill
- swarm-resumeSkill
- The first 60 shown.
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.

