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 commands/thrownlemon/claude-code-plugins/authgit 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 | $0.00005 | $0.00446 |
| Opus 5 | $0.00003 | $0.00223 |
| Sonnet 5 | $0.00001 | $0.00089 |
| Haiku 4.5 | $0.00001 | $0.00045 |
Grade C, and why
auth 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 yesterday.
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 What it actually says
CodeRabbit Authentication
Authenticate with the CodeRabbit CLI to enable code reviews.
Authentication Flow
-
Check Current Status
coderabbit auth status -
If Not Authenticated
- Run
coderabbit auth login - A URL will be displayed
- Open the URL in your browser
- Log in with your CodeRabbit account
- Copy the token shown after login
- Paste the token back into Claude Code
- Run
-
Verify Authentication
coderabbit auth status
Prerequisites
The CodeRabbit CLI must be installed first:
curl -fsSL https://cli.coderabbit.ai/install.sh | sh
After installation, restart your shell:
source ~/.zshrc # or ~/.bashrc
Troubleshooting
CLI not found:
- Ensure installation completed successfully
- Restart your terminal or source your shell config
- Check if
coderabbitorcrcommand is available
Authentication failed:
- Verify you have a CodeRabbit account
- Check the token was copied correctly
- Try logging out and back in:
coderabbit auth logoutthencoderabbit auth login
Rate limiting:
- Free tier has limited reviews per hour
- Consider upgrading for higher limits
- Wait for the rate limit to reset
Steps
Execute the following to check and guide authentication:
-
First, check if CLI is installed:
which coderabbit || which cr -
If not installed, inform the user to run:
curl -fsSL https://cli.coderabbit.ai/install.sh | sh -
Check authentication status:
coderabbit auth status -
If not authenticated, run:
coderabbit auth loginThen guide user through the browser-based authentication flow.
-
Verify successful authentication:
coderabbit auth status
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.
- yesterday First seen · 88 lines · 5 tokens per session scan C f01c27e2d66f
auth is a command published in the GitHub repository ThrownLemon/claude-code-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 5 tokens to every session and 446 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.