Agent skill

PR

by umputun in umputun/cc-thingz

Comprehensive PR/issue review - analyzes architecture, tests, identifies unrelated changes mixed in, drafts review comment or issue comment.

MITAuto-check: notesDevelopment

Install PR

skills CLI
$ npx skills add umputun/cc-thingz --skill pr -a claude-code

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

GitHub CLI
$ gh skill install umputun/cc-thingz pr --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/umputun/cc-thingz.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/review/skills/pr .claude/skills/pr && 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
GitHub stars
484
Token cost
~5.4k tokens
SKILL.md length
1,639 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
MIT

At a glance

Comprehensive PR/issue review - analyzes architecture, tests, identifies unrelated changes mixed in, drafts review comment or issue comment.

  • Works in 7 steps: Detect PR vs Issue → Fetch PR Metadata and Discussion History → 5: Select Review Mode → …
  • User asks to review a PR
  • SKILL.md covers Activation Triggers, Workflow, Phase 0: Detect PR vs Issue and Phase 1: Fetch PR Metadata and…, plus 8 more sections
  • Calls gh and git

What it does

PR is an agent skill from umputun/cc-thingz. Comprehensive PR/issue review - analyzes architecture, tests, identifies unrelated changes mixed in, drafts review comment or issue comment. Use when user asks to review a PR, check a PR, look at PR changes, or comment on an issue.

Its SKILL.md is about 5.4k 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. The repository describes itself as: various things for claude code. The licence is MIT.

When your agent uses it

  • User asks to review a PR
  • Look at PR changes
  • Comment on an issue

Example prompts

  • “/pr”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Read, Grep, Glob, Write, Skill, AskUserQuestion, Task

Workflow steps

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

  1. Detect PR vs Issue
  2. Fetch PR Metadata and Discussion History
  3. 5: Select Review Mode
  4. Deep Analysis via Subagent
  5. Present Findings, Ask to Proceed
  6. Resolve Open Questions
  7. Draft Review Comment

What it can do on your machine

Read from SKILL.md and the folder at commit 99e1c8d. 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
    • Read
    • Grep
    • Glob
    • Write
    • Skill
    • AskUserQuestion
    • Task

    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 loads about 5.4k tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 1,639 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Grep, Glob, Write, Skill, AskUserQuestion, Task

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 umputun/cc-thingz at commit 99e1c8d, republished under its MIT licence (© umputun). 1,639 words, ~5,429 tokens.

Download SKILL.mdSave it as .claude/skills/pr/SKILL.md (or your agent's skills folder).
name
pr
description
Comprehensive PR/issue review - analyzes architecture, tests, identifies unrelated changes mixed in, drafts review comment or issue comment. Use when user asks to review a PR, check a PR, look at PR changes, or comment on an issue.
allowed-tools
Bash, Read, Grep, Glob, Write, Skill, AskUserQuestion, Task
argument-hint
<pr-or-issue-number>

PR Review Skill

Comprehensive pull request review that analyzes code quality, architecture, test coverage, and identifies scope creep (unrelated changes mixed into the PR).

Activation Triggers

  • "review pr 123", "check pr 123", "look at pr 123"
  • "review the pr", "what do you think about this pr"
  • "review draft pr", "check the open pr"
  • "comment on issue 42", "look at issue 42", "review issue 42"

Workflow

1. Fetch PR metadata + discussion history + merge status
1.5. Ask review mode: Full (default) or Quick
--- Full path ---
2. Setup worktree, launch subagent for deep analysis (read files, validate, architecture, scope creep, cleanup)
3. Present condensed findings from subagent, ask to proceed
4. Resolve open questions (if any)
5. Draft review comment
--- Quick path ---
Q1. Read diff inline, summarize what/why/size
Q2. Flag obvious issues from diff
Q3. Draft review comment

Phase 0: Detect PR vs Issue

Determine if the target is a PR or an issue. If a URL is provided, check if it contains /pull/ or /issues/. If just a number, detect type:

bash
gh pr view <number> --json number 2>/dev/null && echo "PR" || echo "ISSUE"
  • PR → proceed with full PR review workflow (Phase 1 onwards)
  • Issue → use the Issue Comment Flow below, skip all PR-specific phases
Issue Comment Flow

For issues, skip worktree/diff/architecture analysis. Focus on understanding the issue and drafting a helpful comment.

  1. Fetch issue details and discussion:
bash
gh issue view <number> --json title,body,author,state,labels,comments,createdAt
  1. Read the full discussion - understand what was reported, what others said, whether there are linked PRs

  2. Investigate the codebase if the issue references specific code, files, or behavior:

    • search for relevant files, read them
    • understand the reported problem in context
  3. Draft a comment addressing the issue - could be: analysis of root cause, a proposed approach, questions for clarification, or acknowledgment with next steps

  4. Post as a regular comment (not a review):

bash
cat > /tmp/issue-comment.md << 'COMMENT_END'
<comment content>
COMMENT_END
gh issue comment <number> --body-file /tmp/issue-comment.md

Use AskUserQuestion before posting:

question: "Post this comment to issue #<number>?"
header: "Comment"
options:
  - Post (post as shown above)
  - Edit (tell me what to change)
  - Cancel (discard draft)

After posting → done. No worktree cleanup needed for issues.


Phase 1: Fetch PR Metadata and Discussion History

Get PR number from $ARGUMENTS. If not provided, list recent PRs and ask user to select:

bash
# if no PR number provided, list recent PRs
gh pr list --limit 5 --state all

# get PR details
gh pr view <number> --json title,body,additions,deletions,changedFiles,files,author,state,headRefName

# get all comments (PR comments and review comments)
gh pr view <number> --json comments,reviews

Capture:

  • title: what the PR claims to do
  • body: detailed description, linked issues
  • files: list of changed files with additions/deletions per file
  • scope: total additions/deletions, number of files
  • discussion history: all comments and reviews with authors and timestamps
1.1 Analyze Discussion History

Before reviewing, understand what has already been discussed:

bash
# get PR comments (general discussion)
gh api repos/{owner}/{repo}/issues/<number>/comments --jq '.[] | "[\(.user.login)] \(.body)"'

# get review comments (inline code comments)
gh api repos/{owner}/{repo}/pulls/<number>/comments --jq '.[] | "[\(.user.login) on \(.path):\(.line)] \(.body)"'

# get reviews with their state (approved, changes_requested, commented)
gh api repos/{owner}/{repo}/pulls/<number>/reviews --jq '.[] | "[\(.user.login) - \(.state)] \(.body)"'

Summarize discussion:

  • What issues were raised by reviewers?
  • What was the PR author's response?
  • Are there unresolved threads or pending questions?
  • What has already been addressed vs still open?

Check automated reviews (Copilot, etc.): Read any automated review comments - they can have valuable findings. If Copilot or other bots flagged real issues, verify them and include in your review if valid. Don't dismiss automated feedback just because it's automated.

CRITICAL - Check for inline suggestions:

bash
# get inline review comments (where actual suggestions live)
gh api repos/{owner}/{repo}/pulls/<number>/comments --jq '.[] | "[\(.user.login) on \(.path):\(.line // .original_line)]\n\(.body)\n---"'

Look specifically for:

  • Suggested changes - code blocks with suggestion tags containing proposed fixes
  • Inline comments - specific line-by-line feedback
  • Security/bug warnings - automated tools often catch real issues

The review body is often just a summary. The inline comments are where the real feedback is.

Important: Do not re-raise issues that were already discussed and resolved. Focus on new findings or unaddressed concerns.

1.2 Check Merge Status

Check if PR is mergeable and CI status:

bash
gh pr view <number> --json mergeable,mergeStateStatus,statusCheckRollup

Report:

  • mergeable: MERGEABLE (no conflicts) or CONFLICTING (needs rebase)
  • mergeStateStatus: CLEAN (ready), BLOCKED (checks failing), BEHIND (needs update)
  • statusCheckRollup: CI check results (build, tests, lint)

If PR has conflicts or is behind, note this early - it may explain "deletions" in the diff that are actually just missing commits from the base branch.

Print summary:

PR #<number>: <title>
Author: <author> | State: <state>
+<additions>/-<deletions> across <changedFiles> files
Merge status: <mergeable> | <mergeStateStatus>
CI: <pass/fail summary>

Discussion: <N> comments, <M> reviews
- Resolved: <list of addressed issues>
- Open: <list of unresolved questions>

Phase 1.5: Select Review Mode

After presenting the Phase 1 summary, ask the user to choose review depth:

question: "Review mode for PR #<number>?"
header: "Mode"
options:
  - Full review (Recommended) — clone, run tests/linter, architecture analysis, scope creep detection
  - Quick review — diff-only, summarize what/why/size, flag obvious issues
  • Full review → continue to Phase 2 (existing deep analysis)
  • Quick review → jump to Quick Review path below

Quick Review Path

Lightweight review based on diff and metadata only. No worktree, no subagent, no test/linter execution.

Q1. Read and Summarize Diff
bash
gh pr diff <number>

From the diff and Phase 1 metadata, present:

  • What: 2-3 sentence summary of what the PR does
  • Why: purpose/motivation (from PR body, linked issues, or inferred from changes)
  • Size: +additions/-deletions across N files - small/medium/large assessment
  • Files changed: grouped list (code, tests, config, docs)
Q2. Flag Obvious Issues

Scan the diff for issues detectable without full file context:

  • Obvious bugs (nil dereference, unchecked errors, off-by-one)
  • Missing error handling in new code
  • Hardcoded values that should be configurable
  • TODO/FIXME/HACK comments added
  • Test files missing for new code files
  • Large functions added (50+ lines)
  • Unrelated changes mixed in (files that don't match PR purpose)

If nothing found, say so explicitly.

Q3. Proceed to Draft

After presenting the summary and any flagged issues, skip directly to Phase 5 (Draft Review Comment). All Phase 5 rules apply: check previous comments, use writing-style skill, don't restate what the PR does.

No worktree cleanup needed since quick review never creates one.

Phase 2: Deep Analysis via Subagent

CRITICAL: Delegate all file reading, validation, and architecture analysis to a subagent to protect the main conversation's context window. The subagent does the heavy lifting and returns a condensed report.

2.1 Setup Worktree (in main conversation)

Create the worktree before launching the subagent:

bash
# fetch the PR ref directly (does NOT affect current checkout)
git fetch origin pull/<number>/head:pr-<number>

# create worktree from the fetched ref
git worktree add "/tmp/pr-review-<number>" pr-<number>

Do NOT use gh pr checkout - it switches the main repo's branch, which is disruptive during a review.

2.2 Launch Analysis Subagent

Use the Task tool with subagent_type: "general-purpose" to run the full analysis. Pass all context the subagent needs in the prompt:

prompt: |
  You are reviewing PR #<number> for <repo>.

  **PR metadata:**
  - Title: <title>
  - Description: <body>
  - Files: <file list from Phase 1>
  - Discussion summary: <from Phase 1.1>

  **Worktree location:** /tmp/pr-review-<number>
  **Repo location:** <repo_path>

  **Your tasks (do all of these):**

  1. **Read changed files** - read each changed file in full from the worktree
     to understand context, not just the diff. Focus on what the code actually
     does vs what the PR description claims.

  2. **Run validation** - from the worktree directory:
     - Run project test suite (e.g., `npm test`, `pytest`, `go test ./...`, etc.)
     - Run project linter (e.g., `eslint .`, `ruff check`, `golangci-lint run`, etc.)
     - Run race/concurrency checks if applicable (e.g., thread sanitizer, `-race` flag, etc.)
     Detect project type from files present (package.json, pyproject.toml, go.mod, Cargo.toml, etc.)
     Record all failures.

  3. **Architecture analysis** - check for:
     - Over-engineering (unnecessary abstractions, premature generalization)
     - Pattern violations (inconsistent with existing codebase)
     - Error handling issues
     - Concurrency issues
     - Security concerns
     - Test quality (fake tests, missing coverage)

  4. **Scope creep detection** - categorize each file as:
     - Core (implements PR purpose)
     - Supporting (tests, config for core changes)
     - Related cleanup (minor fixes in touched files)
     - Unrelated (doesn't connect to PR purpose)

  **IMPORTANT: Do NOT clean up the worktree.** The main conversation handles cleanup after all review phases complete.

  **Return a structured report with these sections:**
  - **Functionality**: 3-5 sentence explanation of what the PR does
  - **Key decisions**: notable implementation choices
  - **Validation results**: test pass/fail, linter issues, race conditions
  - **Architecture issues**: list with file:line references
  - **Over-engineering**: specific instances with simpler alternatives
  - **Scope creep**: unrelated files with explanation
  - **Positives**: what's done well
  - **Open questions**: design decisions that need user input

  Be specific - use file:line references. Skip sections with no findings.
2.3 Receive Report

The subagent returns a condensed report. This is what enters the main conversation context - not the raw file contents or diff.

Phase 3: Present Findings, Ask to Proceed

Present the subagent's report to the user.

Use AskUserQuestion to confirm next step:

question: "How would you like to proceed?"
header: "Continue?"
options:
  - Draft review comment (proceed to Phase 5)
  - Investigate specific finding (ask subagent for details)
  - Done (end review without posting)

If user selects "Investigate specific finding", launch another targeted subagent to dig into the specific area, then ask again.

Phase 4: Resolve Open Questions

If the subagent report contains open questions (design decisions needing user input), ask about EACH one specifically before proceeding:

question: "Section type change: Logger.PrintSection(string) → Logger.PrintSection(Section). Accept typed approach for compile-time safety?"
header: "Decision"
options:
  - Accept (keep typed Section approach)
  - Reject (revert to string-based)
  - Need more context

Wait for user response on each open question. If user selects:

  • Accept: note for review comment
  • Reject: note objection for review comment
  • Need more context: launch targeted subagent to investigate, then ask again
  • Other (custom input): incorporate user's feedback

Repeat for all open questions before proceeding.

Phase 5: Draft Review Comment

Only proceed when user explicitly asks to draft/post the review.

Show full SKILL.md (680 more words)Show less
5.1 Check Previous Comments (Critical)

NEVER duplicate what the user already said in their previous comments.

Before drafting, review the discussion history from Phase 1.1:

  • What did the USER (not other reviewers) already comment on this PR?
  • What issues did the USER already raise?
  • What recommendations did the USER already make?

Exclude from draft:

  • Architecture assessments the user already posted
  • Issues the user already pointed out
  • Questions the user already asked
  • Any point the user already made, even if phrased differently

Include in draft only:

  • NEW findings not mentioned by the user before
  • Updates on issues (e.g., "tests still failing after fix attempt")
  • Responses to contributor's questions to the user
  • User's decision on open questions from Phase 4
  • Valid issues from automated reviews (Copilot, etc.) that weren't addressed

If user already covered everything and there's nothing new → say "no new findings to add" and don't draft.

5.2 Draft Comment

Activate writing-style skill for proper tone:

/review:writing-style

CRITICAL: Don't restate what the PR does. The author knows what they built. Focus only on:

  • Issues that need fixing
  • Questions about unclear decisions
  • LGTM if everything is fine

Keep it casual and brief. Examples of good review comments:

markdown
LGTM
markdown
lgtm. one minor thing - `loadPatterns` could filter in a single pass instead of two, but not a blocker
markdown
couple issues:

1. test failure in `TestFoo` - looks like missing mock setup
2. linter complains about unused param on line 42

otherwise looks good
markdown
I don't get why we need the Factory pattern here - there's only one implementation. could simplify to just `NewNotifier()` directly?

Only add sections if there are actual issues:

  • Issues - test failures, linter errors, bugs (numbered list)
  • Questions - unclear design decisions, missing context
  • Complexity concerns - if over-engineered, suggest simpler alternative

Omit sections with no findings. For clean PRs, just "LGTM" is fine.

Code examples: when suggesting fixes, always show proper error handling - never ignore errors even in snippets.

Output

Display Draft First

Always display the complete draft review as a text block before asking:

--- Draft Review Comment ---
**Overall impression**

<actual review content here>

**Issues to address**
...
--- End Draft ---
Ask User via AskUserQuestion

Use AskUserQuestion tool with these options:

question: "Post this review to PR #<number>?"
header: "Review"
options:
  - Approve (post review and approve)
  - Comment (post as review comment, no approval)
  - Request changes (post review requesting changes)
  - Edit (tell me what to change)
  - Cancel (discard draft)
Handle Response

Approve / Comment / Request changes: Write to temp file and post as a formal PR review (not a regular comment). This ensures GitHub marks the review as done and it appears in latestReviews:

bash
# write to temp file to avoid escaping issues
cat > /tmp/pr-review.md << 'REVIEW_END'
<review content>
REVIEW_END
# use --approve, --comment, or --request-changes based on user's choice
gh pr review <number> --body-file /tmp/pr-review.md --comment

After Approve - offer to merge:

When the user selected "Approve" and the approval was posted successfully, analyze the PR commits to recommend a merge strategy:

bash
# check commit history for the PR
gh pr view <number> --json commits --jq '.commits[] | "\(.oid[:8]) \(.messageHeadline)"'

Strategy recommendation logic:

  • Rebase and merge (recommended) when: commits are clean, well-structured, each with a meaningful message, no "fix typo" / "wip" / "fixup" noise
  • Squash and merge (recommended) when: multiple messy commits (wip, fixup, typo fixes, "address review"), or a single logical change spread across noisy commits
  • Merge commit when: branch has meaningful merge history worth preserving (rare)

Present the recommendation with reasoning:

# example for clean commits:
question: "PR #<number> approved. Merge strategy? (3 clean commits: 'add auth middleware', 'add auth tests', 'update docs')"
header: "Merge"
options:
  - Rebase and merge (Recommended) — preserves clean commit history
  - Squash and merge — collapse into single commit
  - Merge commit — creates merge commit
  - Skip — don't merge

# example for messy commits:
question: "PR #<number> approved. Merge strategy? (5 commits including 'wip', 'fix lint', 'address review')"
header: "Merge"
options:
  - Squash and merge (Recommended) — cleans up noisy commit history
  - Rebase and merge — preserves all commits as-is
  - Merge commit — creates merge commit
  - Skip — don't merge

If user selects a merge strategy:

bash
# --rebase, --squash, or --merge based on user's choice
gh pr merge <number> --rebase --delete-branch

If merge fails (CI not passing, conflicts, branch protection), report the error and move on to cleanup.

Edit: Ask user for specific changes, update draft, display again, and repeat the ask.

Cancel: Acknowledge and stop.

Cleanup Worktree

After the review is fully complete (comment posted, user cancelled, or user said "Done"), clean up:

bash
cd <repo_path>
git worktree remove "/tmp/pr-review-<number>" --force 2>/dev/null || true
git branch -D pr-<number> 2>/dev/null || true

This must happen AFTER all phases are done - the worktree is needed for follow-up investigations in Phases 3-4.

Examples

Simple review (no issues)
User: "review pr 42"
→ Phase 1: fetch metadata, +150/-30, 5 files
→ Phase 2: launch subagent → reads files, tests pass, lint clean, no issues
→ Phase 3: present condensed report - adds retry logic with exponential backoff
→ User: "post the review"
→ Phase 5: draft and post "LGTM"
Review with scope creep and questions
User: "review pr 58"
→ Phase 1: fetch metadata, +2k/-100, 25 files
→ Phase 2: launch subagent → reads 25 files, 1 test timeout, CacheFactory unnecessary,
    unrelated changes in config.yaml and Logger interface
→ Phase 3: present condensed report
→ User: "why does it use interface instead of concrete client?"
  → launch targeted subagent to investigate → interface allows mocking
→ User: "draft the review"
→ Phase 5: draft review highlighting issues, post to PR
Review with over-engineering
User: "review pr 73"
→ Phase 1: fetch metadata, +800/-50, 12 files
→ Phase 2: launch subagent → reads files, tests pass, OVER-ENGINEERING:
    NotifierFactory, NotifierBuilder, NotifierRegistry for single email sender
→ Phase 3: present condensed report - suggest simplifying to EmailNotifier
→ User: "yeah, way too complex. draft the review"
→ Phase 5: draft review with specific simplification suggestions
Quick review (trusted contributor)
User: "review pr 95"
→ Phase 1: fetch metadata, +200/-30, 6 files
→ Phase 1.5: [AskUserQuestion] "Review mode?" → user selects Quick
→ Q1: read diff, summarize: adds configurable tenant for auth
→ Q2: no obvious issues, tests included
→ Q3: draft and post "lgtm"
Review with open questions
User: "review pr 89"
→ Phase 1: fetch metadata, +400/-50, 8 files
→ Phase 2: launch subagent → reads files, 2 test failures, open question
    about Section type change
→ Phase 3: present condensed report
→ Phase 4: [AskUserQuestion] "Section type change: Accept typed approach?"
  → User: "Accept"
→ User: "draft the review"
→ Phase 5: draft review noting test failures, user's acceptance of Section approach

Notes

  • NEVER duplicate user's previous comments - check what user already said in discussion history and exclude from draft
  • proper error handling in code suggestions - never ignore errors even in example snippets; always show proper error checks
  • subagent for heavy lifting - all file reading, validation, and architecture analysis runs in a subagent to protect main context window. Only the condensed report enters the main conversation
  • interactive by design - pause for questions after presenting findings (Phase 3) and after resolving open questions (Phase 4)
  • explain non-obvious patterns - don't assume user understands clever implementations
  • simplicity bias - always ask "could this be simpler?" and suggest concrete alternatives
  • project patterns matter - code should look like it belongs in the existing codebase
  • over-engineering is a bug - unnecessary abstraction is as problematic as missing abstraction
  • never switch the main repo's branch during review - use git fetch + worktree
  • use writing-style skill for review comments
  • be specific about file:line when noting issues
  • distinguish "unrelated but acceptable" (linter fixes) from "unrelated and problematic" (refactoring)
  • draft locally first, confirm before posting to PR
  • let user guide when to proceed vs when to discuss more

© umputun, 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 plugins/review/skills/pr of umputun/cc-thingz.

Open the folder on GitHubat commit 99e1c8d

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  • New

    umputun/cc-thingz

    A skill your agent uses when user asks to create a release, cut a release, or publish a version.

    484 GitHub stars~1.9k tokensUpdated 2 days ago
    Auto-check: notes
  • Root Cause Investigator

    umputun/cc-thingz

    Systematic root cause analysis for errors, bugs, and unexpected behaviors using 5-Why methodology.

    484 GitHub stars~879 tokensUpdated 2 days ago
    Auto-check passed
  • Ask Codex

    umputun/cc-thingz

    Consult OpenAI Codex for investigation, debugging, or code review.

    484 GitHub stars~2.6k tokensUpdated 2 days ago
    Auto-check: notes
  • Backlog

    umputun/cc-thingz

    Read, work, and maintain a Git repo's deferred-work items in docs/backlog/, one file per item.

    484 GitHub stars~3.4k tokensUpdated 2 days ago
    Auto-check: notes
  • Brainstorm

    umputun/cc-thingz

    Use before any creative work or significant changes. An agent skill from umputun/cc-thingz.

    484 GitHub stars~1.7k tokensUpdated 2 days ago
    Auto-check: notes

Categories

Questions about PR

What does PR do?

Comprehensive PR/issue review - analyzes architecture, tests, identifies unrelated changes mixed in, drafts review comment or issue comment. PR is an agent skill from umputun/cc-thingz. Comprehensive PR/issue review - analyzes architecture, tests, identifies unrelated changes mixed in, drafts review comment or issue comment.

When should I use PR?

PR fits situations like: user asks to review a PR; look at PR changes; comment on an issue.

How do I install PR in Claude Code?

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

How do I install PR in Codex?

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

Can I use PR 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 umputun/cc-thingz --skill pr -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, .gemini/skills/pr, .github/skills/pr and .opencode/skills/pr in your project.

What does PR need to run?

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

Does PR 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 safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does PR use?

PR 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 use?

About 5.4k tokens (SKILL.md is roughly 22k 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?

Skills that share tags, products or a category with PR: Finishing a Development Branch (obra/superpowers, 296k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PR?

umputun (a GitHub user) maintains it in umputun/cc-thingz, which has 484 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 5, 2026.

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