swarm-pr-review SKILL.md skillA

swarm-pr-review from zaxbyhub/opencode-swarm is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add zaxbyhub/opencode-swarm/swarm-pr-review@git:20260808.f1e4db1

Pins git:20260808.f1e4db1 in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

zaxbyhub/opencode-swarm

Path

evaluation-fixtures/pr-review-recovery/baseline/SKILL.md

Versions recorded

1

Latest version

git:20260808.f1e4db1, committed Aug 8, 2026

Size

103,198 bytes

Repository stars

518

License

MIT

Run a graph-guided, tool-augmented PR review using context packing, parallel exploration, mandatory repository-agnostic risk-family coverage with dispatch scaled to diff size and risk, independent reviewer validation, critic challenge, and metrics writeback. Use for deep pull request review with low false-positive tolerance and high recall in any repository, on any agent harness (structured lane controller, native parallel subagents, or single-context sequential passes).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# /swarm-pr-review

Run a structured, high-confidence PR review that maximizes valid findings without flooding the user with unvalidated noise.

The review ladder is:

**Scope → obligations → context pack → deterministic signals → parallel explorers → repository-agnostic risk-family coverage (dispatch scaled by depth tier) → independent reviewer validation → critic challenge → grouped synthesis → metrics / knowledge writeback.**

## Handoff To PR Feedback

Use `../swarm-pr-feedback/SKILL.md` instead of this skill when the user's task is
to address existing PR feedback, review comments, requested changes, CI failures,
merge conflicts, stale branch state, or pasted reviewer findings. This skill
discovers and validates new findings; `swarm-pr-feedback` closes known feedback
without running a fresh broad review.

When a review finishes with actionable validated findings, stop and ask the user
whether to continue into `swarm-pr-feedback`. Do not auto-dispatch fix work from
`PR_REVIEW`. Instead, write a handoff artifact — under Profile A,
`.swarm/pr-review/<run_id>/feedback-handoff.json` via `write_pr_review_artifact`;
…

Read the whole file at its exact version.

How to install

mdr add zaxbyhub/opencode-swarm/swarm-pr-review@sha256:1bcee0a5fe062975

[![mdr](https://markdownregistry.com/badge/art_mqtrsksruhrj6fv4.svg)](https://markdownregistry.com/a/art_mqtrsksruhrj6fv4)

Versions

The registry has recorded 1 version of this file, committed on Aug 8, 2026.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_mqtrsksruhrj6fv4
GET https://markdownregistry.com/api/v1/resolve?ref=zaxbyhub/opencode-swarm/swarm-pr-review
GET https://markdownregistry.com/api/v1/blob/1bcee0a5fe0629755043ca176d9786e314f6cb47102ecc820b7190e18ac6ad85

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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