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/basher83/lunar-claude/coderabbitnpx skills add basher83/lunar-claude --skill coderabbitgit clone --depth 1 https://github.com/basher83/lunar-claudeWrote 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/basher83/lunar-claude/coderabbit)<a href="https://agentmods.dev/skills/basher83/lunar-claude/coderabbit"><img src="https://agentmods.dev/badge/skills/basher83/lunar-claude/coderabbit.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 5.1 | $0.00031 | $0.01097 |
| Opus 5 | $0.00015 | $0.00549 |
| Sonnet 5 | $0.00006 | $0.00219 |
| Haiku 4.5 | $0.00003 | $0.00110 |
Grade C, and why
coderabbit scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://cli.coderabbit.ai/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://cli.coderabbit.ai/install.sh | sh How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CodeRabbit
AI code review tool that catches race conditions, memory leaks, and security vulnerabilities. Integrates with Claude Code for autonomous review-and-fix workflows.
Quick Start: Claude Code Integration
Run CodeRabbit as part of your development workflow:
Implement the feature from the spec, then run coderabbit --prompt-only
in the background and fix any issues found.
Key flags for Claude Code:
--prompt-only- Minimal output optimized for AI agents--plain- Plain text mode (no interactive UI)--type uncommitted- Review only uncommitted changes
CLI Commands
# Install
curl -fsSL https://cli.coderabbit.ai/install.sh | sh
# Authenticate (run once per Claude Code session)
coderabbit auth login
# Review code
coderabbit # Interactive mode
coderabbit --plain # Plain text output
coderabbit --prompt-only # AI-optimized output
coderabbit --type uncommitted # Only uncommitted changes
coderabbit --base develop # Compare against develop branch
Claude Code Workflow
Recommended prompt pattern:
Please implement [feature] and then run coderabbit --prompt-only,
let it run as long as it needs (run it in the background) and fix any issues.
CodeRabbit reviews take 7-30+ minutes. Run in background and check periodically.
Fix prioritization: Fix critical issues first, ignore nits. Run CodeRabbit again after fixes to verify no new issues introduced. Limit to 2 iterations.
GitHub Commands
Use @coderabbitai in PR comments:
| Command | Description |
|---|---|
@coderabbitai review |
Incremental review of new changes |
@coderabbitai full review |
Complete review from scratch |
@coderabbitai pause |
Stop automatic reviews |
@coderabbitai resume |
Restart reviews |
@coderabbitai summary |
Regenerate PR summary |
@coderabbitai generate docstrings |
Generate function docs (Pro) |
@coderabbitai generate unit tests |
Generate tests (Pro) |
@coderabbitai resolve |
Resolve all CR comments |
@coderabbitai configuration |
Show current settings |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 145 lines · 31 tokens per session scan C 75aa3149093c
coderabbit is a skill published in the GitHub repository basher83/lunar-claude (22 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,097 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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