AI-powered code review using CodeRabbit. Default code-review skill. Trigger for any explicit review request AND autonomously when the agent thinks a review is needed (code/PR/quality/security).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# CodeRabbit Code Review
AI-powered code review using CodeRabbit. Enables developers to implement features, review code, and fix issues in autonomous cycles without manual intervention.
## Capabilities
- Finds bugs, security issues, and quality risks in changed code
- Groups findings by severity (Critical, Warning, Info)
- Works on staged, committed, or all changes; supports base branch/commit and review directory selection
- Uses `--agent` output for agent-readable review results and fix guidance
## When to Use
When user asks to:
- Review code changes / Review my code
- Check code quality / Find bugs or security issues
- Get PR feedback / Pull request review
- What's wrong with my code / my changes
- Run coderabbit / Use coderabbit
## How to Review
### 1. Check Prerequisites
```bash
coderabbit --version 2>/dev/null || echo "NOT_INSTALLED"
coderabbit auth status 2>&1
```
If the CLI is already installed, confirm it is an expected version from an official source before proceeding.
> **Note:** The `--agent` flag requires CodeRabbit CLI v0.4.0 or later. If the installed version is older, ask the user to upgrade.
**If CLI not installed**, tell user:
```text
…
The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (5253 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
omarluq/librecode · 30 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_i24tfsyx5mfafzy4
GET https://markdownregistry.com/api/v1/resolve?ref=omarluq/librecode/code-review
GET https://markdownregistry.com/api/v1/blob/18c9c3c69a6a58ae0b7baa5b19637eaa9aaf02c21b1242f0bb073dc24942fe0a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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