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 skills/kellykampen/agent-skills/coderabbit-requestnpx skills add kellykampen/agent-skills --skill coderabbit-requestgit clone --depth 1 https://github.com/kellykampen/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kellykampen/agent-skills/coderabbit-request)<a href="https://agentmods.dev/skills/kellykampen/agent-skills/coderabbit-request"><img src="https://agentmods.dev/badge/skills/kellykampen/agent-skills/coderabbit-request.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.00051 | $0.01156 |
| Opus 5 | $0.00026 | $0.00578 |
| Sonnet 5 | $0.00010 | $0.00231 |
| Haiku 4.5 | $0.00005 | $0.00116 |
Grade A, and why
coderabbit-request 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 3d 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requesting Review
Overview
This skill dispatches a CodeRabbit reviewer subagent to analyze your uncommitted changes and return a structured list of issues. It's the first step in the change → review → triage → fix pipeline.
When to use: After making ANY file changes (code, skills, documentation, config), before considering work complete.
CRITICAL: Always Request Review
After completing changes, invoke this skill:
- ✅ Code files (.ts, .vue, .js, etc.) - strongest support (AST-aware linting, security, auto-tests)
- ✅ Test files - strongest support
- ✅ Skill files (SKILL.md) - lighter support (markdownlint)
- ✅ Documentation (.md files) - lighter support (markdownlint)
- ✅ Configuration files - lighter support (generic config linting)
Do NOT skip review because "it's just documentation" or "it's a small change". Even lighter analysis catches issues.
Outputs: Structured JSON with categorized issues (Critical/Important/Minor).
Process
Step 1: Prepare Context
Stage all changes before review. The --type uncommitted flag analyzes both staged and unstaged changes, but staging ensures nothing is missed:
# Stage all changes
git add -A
# Verify staged changes
git diff --cached --stat
Document in your mind what was just implemented. This context helps the reviewer subagent understand scope.
Step 2: Run CodeRabbit via gob
CRITICAL: Always use gob add for CodeRabbit commands - they take 1-3 minutes.
# Start CodeRabbit in background
gob add coderabbit --prompt-only --type uncommitted
# Continue working or wait for results
gob await-any
The --prompt-only flag makes output succinct and token-efficient.
Step 3: Parse Results
When CodeRabbit completes, parse the output into this JSON structure:
{
"critical": [
{"file": "...", "line": NNN, "issue": "...", "suggestion": "..."}
],
"important": [...],
"minor": [...]
}
Include only genuine issues CodeRabbit found. Do not invent.
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.
- 3d ago First seen · 165 lines · 51 tokens per session scan A cc163ed6ad42
coderabbit-request is a skill published in the GitHub repository kellykampen/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 1,156 once invoked, about $0.0003 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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