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Agent skill

Multi PR Review

by CoWork-OS in CoWork-OS/CoWork-OS

Run a consensus-style multi-agent review of a PR with severity-based findings.

MITAuto-check passedDevelopment

Install Multi PR Review

skills CLI
$ npx skills add CoWork-OS/CoWork-OS --skill multi-pr-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CoWork-OS/CoWork-OS multi-pr-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CoWork-OS/CoWork-OS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resources/skills/multi-pr-review .claude/skills/multi-pr-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
multi-pr-review
GitHub stars
477
Token cost
~410 tokens
SKILL.md length
186 words
Files
8 (incl. scripts, references)
Skills in repo
46
Repo updated
First seen
Licence
MIT

At a glance

Run a consensus-style multi-agent review of a PR with severity-based findings.

  • Tasks that involve Pull requests
  • SKILL.md covers Purpose, Routing, Trigger Examples and Runtime Prompt
  • Runs Python scripts from its folder
  • Tasks that involve Multi-agent orchestration

What it does

Multi PR Review is an agent skill from CoWork-OS/CoWork-OS. Run a consensus-style multi-agent review of a PR with severity-based findings.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/full-guidance.md`, `references/issue_schema.md` and `references/review_prompt_code_health.md`).

It sits in Development, covering Pull requests and Multi-agent orchestration. The repository describes itself as: Local-first personal agentic OS and everything app for coding, knowledge work, web design, automations, and artifacts. The licence is MIT.

When your agent uses it

  • Tasks that involve Pull requests
  • Tasks that involve Multi-agent orchestration

Example prompts

  • “/multi-pr-review”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 0ace02b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Multi PR Review loads about 410 tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 24 tokens; SKILL.md has 186 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~410
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from CoWork-OS/CoWork-OS at commit 0ace02b, republished under its MIT licence (© CoWork-OS). 186 words, ~410 tokens.

Download SKILL.mdSave it as .claude/skills/multi-pr-review/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
multi-pr-review
description
Run a consensus-style multi-agent review of a PR with severity-based findings.
version
1.0.0
metadata.author
CoWork OS Contributors <info@coworkosapp.com>
metadata.source-author
dyad-sh

multi-pr-review

Purpose

Run a consensus-style multi-agent review of a PR with severity-based findings.

Routing

  • Use when: Use when the user asks to run a consensus-style multi-agent review of a PR with severity-based findings.
  • Do not use when: Do not use when the request is asking for planning documents, high-level strategy, or non-executable discussion; use the relevant planning or design workflow instead.
  • Outputs: Outcome from multi-pr-review: task-specific result plus concrete action notes.
  • Success criteria: Returns concrete actions and decisions matching the requested task, with no fabricated tool-side behavior.

Trigger Examples

Positive
  • Use the multi-pr-review skill for this request.
  • Help me with multi-pr-review.
  • Use when the user asks to run a consensus-style multi-agent review of a PR with severity-based findings.
  • multi-pr-review: provide an actionable result.
Negative
  • Do not use when the request is asking for planning documents, high-level strategy, or non-executable discussion; use the relevant planning or design workflow instead.
  • Do not use multi-pr-review for unrelated requests.
  • This request is outside multi-pr-review scope.
  • This is conceptual discussion only; no tool workflow is needed.

Runtime Prompt

  • Current runtime prompt length: 872 characters.
  • Runtime prompt is defined directly in ../multi-pr-review.json.

© CoWork-OS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references) in resources/skills/multi-pr-review of CoWork-OS/CoWork-OS.

  • SKILL.md
  • references/full-guidance.md
  • references/issue_schema.md
  • references/review_prompt_code_health.md
  • references/review_prompt_default.md
  • scripts/aggregate_results.py
  • scripts/orchestrate_review.py
  • scripts/post_comment.py

Open the folder on GitHubat commit 0ace02b

Compare with similar skills

Multi PR Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Multi PR Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Multi PR Review this skillCoWork-OS/CoWork-OS477—~410Automated safety check: PassMIT
Issue Campaignsamchon/typia5.9k—~3.1kAutomated safety check: PassMIT
Issue Campaignsamchon/nestia2.2k—~3kAutomated safety check: PassMIT
Branch Standup Facilitatorthedotmack/claude-mem99k—~1.7kAutomated safety check: NotesApache-2.0
GitHub Swarm Code Reviewruvnet/agentic-flow8176 repos~6.5kAutomated safety check: PassNone
Agent Swarm PRruvnet/ruflo74k2 repos~2.8kAutomated safety check: PassMIT

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Categories

Questions about Multi PR Review

What does Multi PR Review do?

Run a consensus-style multi-agent review of a PR with severity-based findings. Multi PR Review is an agent skill from CoWork-OS/CoWork-OS. Run a consensus-style multi-agent review of a PR with severity-based findings.

When should I use Multi PR Review?

Multi PR Review fits situations like: tasks that involve Pull requests; tasks that involve Multi-agent orchestration.

How do I install Multi PR Review in Claude Code?

Run `npx skills add CoWork-OS/CoWork-OS --skill multi-pr-review -a claude-code`. Or copy the skill folder (resources/skills/multi-pr-review in CoWork-OS/CoWork-OS) into .claude/skills/multi-pr-review in your project. Claude Code loads it when a task matches its description.

How do I install Multi PR Review in Codex?

Run `npx skills add CoWork-OS/CoWork-OS --skill multi-pr-review -a codex`. Or copy the skill folder (resources/skills/multi-pr-review in CoWork-OS/CoWork-OS) into .agents/skills/multi-pr-review in your project. Codex loads it when a task matches its description.

Can I use Multi PR Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CoWork-OS/CoWork-OS --skill multi-pr-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-pr-review, .gemini/skills/multi-pr-review, .github/skills/multi-pr-review and .opencode/skills/multi-pr-review in your project.

What does Multi PR Review need to run?

Going by SKILL.md and its folder, Multi PR Review needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Multi PR Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Multi PR Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Multi PR Review use?

Multi PR Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Multi PR Review use?

About 410 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.9k tokens, read only when the agent opens those files.

What are the alternatives to Multi PR Review?

Skills that share tags, products or a category with Multi PR Review: Issue Campaign (samchon/typia, 5.9k stars), Issue Campaign (samchon/nestia, 2.2k stars), Branch Standup Facilitator (thedotmack/claude-mem, 99k stars) and GitHub Swarm Code Review (ruvnet/agentic-flow, 817 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Multi PR Review?

CoWork-OS (a GitHub organization) maintains it in CoWork-OS/CoWork-OS, which has 477 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 9, 2026.

Source: CoWork-OS/CoWork-OS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.