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Agent skill

PR Review

by dedalus-labs in dedalus-labs/wingman

Review PR comments from GitHub. An agent skill from dedalus-labs/wingman.

MITAuto-check passedDevelopment

Install PR Review

skills CLI
$ npx skills add dedalus-labs/wingman --skill pr-review -a claude-code

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

GitHub CLI
$ gh skill install dedalus-labs/wingman 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/dedalus-labs/wingman.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/pr-review .claude/skills/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
pr-review
GitHub stars
181
Token cost
~580 tokens
SKILL.md length
204 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Review PR comments from GitHub. An agent skill from dedalus-labs/wingman.

  • Works in 4 steps: Fetch comments → Parse and classify → Summarize → …
  • Tasks that involve Pull requests
  • SKILL.md covers Context, Task and Anti-patterns
  • Calls gh and git

What it does

PR Review is an agent skill from dedalus-labs/wingman. Review PR comments from GitHub. Fetches inline review comments and issue comments, classifies by blocking vs non-blocking, and summarizes actionable items.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Pull requests. It works with GitHub. The repository describes itself as: scaling capability quotient. The licence is MIT.

When your agent uses it

  • Tasks that involve Pull requests

Example prompts

  • “/pr-review”

Requirements

  • Pre-approved tools (allowed-tools): Bash(gh *), Read, Grep, Glob, Agent

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Fetch comments
  2. Parse and classify
  3. Summarize
  4. Suggest next steps

What it can do on your machine

Read from SKILL.md and the folder at commit f6233ab. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(gh *)
    • Read
    • Grep
    • Glob
    • Agent

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • gh
    • git

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

  • Network

    No URLs in SKILL.md. Its commands use gh and git, which can reach the network depending on how they are called.

    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

PR Review loads about 580 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 204 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~580

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from dedalus-labs/wingman at commit f6233ab, republished under its MIT licence (© dedalus-labs). 204 words, ~580 tokens.

Download SKILL.mdSave it as .claude/skills/pr-review/SKILL.md (or your agent's skills folder).
name
pr-review
description
Review PR comments from GitHub. Fetches inline review comments and issue comments, classifies by blocking vs non-blocking, and summarizes actionable items.
allowed-tools
Bash(gh *), Read, Grep, Glob, Agent
argument-hint
<pr-number> [--repo owner/repo]

Review PR Comments

Context

  • Branch: !git branch --show-current
  • Remote: !gh repo view --json nameWithOwner -q .nameWithOwner

Task

Given PR number $ARGUMENTS (required), fetch and triage all reviewer comments.

1. Fetch comments

Run these two gh api calls to get both comment types:

bash
# Inline review comments (attached to specific lines)
gh api repos/{owner}/{repo}/pulls/{pr}/comments --paginate

# Issue-level comments (general discussion)
gh api repos/{owner}/{repo}/issues/{pr}/comments --paginate

If --repo is provided in arguments, use that. Otherwise infer from the git remote.

Filter out bot comments (author login ending in [bot] or bot).

2. Parse and classify

For each human comment, extract:

  • Author: .user.login
  • Type: review (inline) or discussion (issue-level)
  • File + line: .path and .line (review comments only)
  • Body: .body
  • Blocking: true if body contains blocking:, must-fix:, bug:, security:, or tests: prefix
  • Created: .created_at
3. Summarize

Output a table grouped by blocking status:

## Blocking (must resolve before merge)

| # | Author | File:Line | Comment |
|---|--------|-----------|---------|
| 1 | user   | main.py:42 | concern about race condition |

## Non-blocking (address or acknowledge)

| # | Author | File:Line | Comment |
|---|--------|-----------|---------|
| 1 | user   | utils.py:10 | nit: rename variable |

Comments without a blocking prefix are classified as non-blocking.

4. Suggest next steps

For each blocking comment, suggest the minimal fix. If the comment is a question, draft a reply. If it requires a code change, identify the file and describe what to change.

Anti-patterns

  • Do not fetch the full PR diff. The comments already reference specific files and lines.
  • Do not reply to or resolve comments automatically. Surface the information; let the user decide.
  • Do not ignore bot comments silently. Filter them but mention the count.

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

Files

Just SKILL.md in .agents/skills/pr-review of dedalus-labs/wingman.

Open the folder on GitHubat commit f6233ab

Compare with similar skills

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.

PR Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
PR Review this skilldedalus-labs/wingman181—~580Automated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
Contributor-First PR MergeHKUDS/OpenHarness16k1 repos~847Automated safety check: PassMIT
Create Pull Requestcline/cline70k1 repos~1.6kAutomated safety check: PassApache-2.0
Pull Request Title and Body Writeropeninterpreter/openinterpreter69k2 repos~1.1kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about PR Review

What does PR Review do?

Review PR comments from GitHub. An agent skill from dedalus-labs/wingman. PR Review is an agent skill from dedalus-labs/wingman. Review PR comments from GitHub.

When should I use PR Review?

PR Review fits situations like: tasks that involve Pull requests.

How do I install PR Review in Claude Code?

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

How do I install PR Review in Codex?

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

Can I use 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 dedalus-labs/wingman --skill 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/pr-review, .gemini/skills/pr-review, .github/skills/pr-review and .opencode/skills/pr-review in your project.

What does PR Review need to run?

Going by SKILL.md and its folder, PR Review needs the command-line tools its instructions call (gh and git). Its frontmatter pre-approves these tools: Bash(gh *), Read, Grep, Glob, Agent.

Does PR Review access the network?

SKILL.md contains no URLs. Its commands use gh and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is 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. Review the folder before installing.

What licence does PR Review use?

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 PR Review use?

About 580 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to PR Review?

Skills that share tags, products or a category with PR Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars), Contributor-First PR Merge (HKUDS/OpenHarness, 16k stars) and Create Pull Request (cline/cline, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PR Review?

dedalus-labs (a GitHub organization) maintains it in dedalus-labs/wingman, which has 181 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on April 25, 2026.

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