Agent Skill
Check PR skill
check-prpaperclipai/paperclip.agents/skills/check-pr/SKILL.md
Check a GitHub, GitLab, or Perforce PR/MR/CL for review comments, failing checks, and PR-body gaps. Use when asked to inspect, fix, or prepare a change for submission.
always on
46 tokname + description
once used
3,781 tokSKILL.md body
bundled files
25 KB
repo stars
106kGitHub
Install the Check PR skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/paperclipai/paperclip --skill check-pr
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/paperclipai/paperclip.git /tmp/paperclip mkdir -p ~/.claude/skills cp -R /tmp/paperclip/.agents/skills/check-pr ~/.claude/skills/check-pr
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 46 tok |
| When the agent uses it | The SKILL.md instructions | 3,781 tok |
| Only if opened | 2 bundled files (5 KB) | varies |
Until it is used, check-pr costs about 30× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 82 skills from paperclipai/paperclip would load 3,485 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Pre-approved tools (allowed-tools): Bash(gh:*), Bash(glab:*), Bash(git:*), Bash(p4:*). The agent can use these without asking while the skill is active.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Check PR
- Inputs
- Instructions
- 0. Detect platform
- 1. Identify the PR/MR/CL
- 2. Fetch PR/MR/CL details
- 3. Wait for pending checks
- 4. Require a fresh Greptile review for the current head
- 5. Analyze the PR/MR
- 6. Categorize issues
- 7. Report findings
- 8. Fix issues (if requested)
- 9. Resolve review threads
- 10. Multiple PRs/MRs/CLs
- Output format
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