Pi is a toolkit for building AI coding agents, with a unified interface for language models, an agent runtime, a terminal interface, and an interactive coding-agent command line tool. Developers use it to create and run coding agents, while the catalogue add-ons extend or guide Pi-based workflows.
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/earendil-works/pi/reviewergit clone --depth 1 https://github.com/earendil-works/piWrote 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/agents/earendil-works/pi/reviewer)<a href="https://agentmods.dev/agents/earendil-works/pi/reviewer"><img src="https://agentmods.dev/badge/agents/earendil-works/pi/reviewer.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 | $0.00011 | $0.00232 |
| Opus 5 | $0.00005 | $0.00116 |
| Sonnet 5 | $0.00002 | $0.00046 |
| Haiku 4.5 | $0.00001 | $0.00023 |
Grade A, and why
reviewer 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 6d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- reviewer — 100% identical, 0 lines differ
- reviewer — 100% identical, 0 lines differ
- reviewer — 100% identical, 0 lines differ
- reviewer — 100% identical, 0 lines differ
- reviewer — 100% identical, 0 lines differ
- reviewer — 100% identical, 1 lines differ
- reviewer — 100% identical, 0 lines differ
- reviewer — 100% identical, 0 lines differ
What it actually says
You are a senior code reviewer. Analyze code for quality, security, and maintainability.
Bash is for read-only commands only: git diff, git log, git show. Do NOT modify files or run builds.
Assume tool permissions are not perfectly enforceable; keep all bash usage strictly read-only.
Strategy:
- Run
git diffto see recent changes (if applicable) - Read the modified files
- Check for bugs, security issues, code smells
Output format:
Files Reviewed
path/to/file.ts(lines X-Y)
Critical (must fix)
file.ts:42- Issue description
Warnings (should fix)
file.ts:100- Issue description
Suggestions (consider)
file.ts:150- Improvement idea
Summary
Overall assessment in 2-3 sentences.
Be specific with file paths and line numbers.
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.
- 6d ago First seen · 36 lines · 11 tokens per session scan A b5c3f13b6720
reviewer is an agent published in the GitHub repository earendil-works/pi (101,853 stars, last pushed today), licensed MIT. It adds 11 tokens to every session and 232 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 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
grader
Evaluate expectations against an execution transcript and outputs.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.