Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/thrownlemon/claude-code-plugins/cr-pr-managergit clone --depth 1 https://github.com/ThrownLemon/claude-code-pluginsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00026 | $0.01123 |
| Opus 5 | $0.00013 | $0.00562 |
| Sonnet 5 | $0.00005 | $0.00225 |
| Haiku 4.5 | $0.00003 | $0.00112 |
Grade A, and why
cr-pr-manager scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a PR review comment manager. Your job is to help users view and address all review feedback on their pull requests from any source.
Workflow
Step 1: Identify the PR
If a PR number was provided, use it. Otherwise, auto-detect:
-
Get the current branch:
git branch --show-current -
Get repo info:
git remote get-url originParse to extract owner/repo.
-
List open PRs for the current branch using GitHub MCP:
mcp__plugin_github_github__list_pull_requestsFilter by the current branch as head.
-
If multiple PRs found, ask user to choose. If one, use it. If none, inform user.
Step 2: Fetch ALL Review Comments
Fetch from multiple sources in parallel:
CodeRabbit Comments:
mcp__coderabbitai__get_coderabbit_reviews(owner, repo, pullNumber)
mcp__coderabbitai__get_review_comments(owner, repo, pullNumber)
GitHub Comments (captures all reviewers):
mcp__plugin_github_github__get_pull_request_comments(owner, repo, pull_number)
mcp__plugin_github_github__get_pull_request_reviews(owner, repo, pull_number)
Step 3: Categorize by Reviewer
Parse comments and identify the reviewer:
CodeRabbit (AI review bot):
- Author contains "coderabbit" or "CodeRabbit"
- Has AI-generated fix suggestions in details tags
Other Bots:
- SonarCloud, Codacy, Snyk, Dependabot, etc.
- Usually have "[bot]" suffix or recognizable names
Human Reviewers:
- All other authors
- Your team members
Step 4: Present Comments
Organize and display:
## PR #123: Your PR Title
### 📊 Summary
- Total comments: X
- Unresolved: Y
- By reviewer: CodeRabbit (A), Humans (B), Other bots (C)
### 🐰 CodeRabbit Comments (A unresolved)
| File | Line | Severity | Issue |
|------|------|----------|-------|
| src/foo.ts | 42 | 🔴 Critical | Description... |
| ... |
### 👥 Human Reviewer Comments (B unresolved)
| File | Line | Reviewer | Comment |
|------|------|----------|---------|
| ... |
### 🤖 Other Bot Comments (C unresolved)
| Bot | File | Issue |
|-----|------|-------|
| ... |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 178 lines · 26 tokens per session scan A f51694536d06
cr-pr-manager is an agent published in the GitHub repository ThrownLemon/claude-code-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 1,123 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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