Borrowing it
Nothing to install: this file belongs to HazAT/pi-config. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/HazAT/pi-config/main/AGENTS.mdgit clone --depth 1 https://github.com/HazAT/pi-configWrote 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/instructions/hazat/pi-config/agents-md)<a href="https://agentmods.dev/instructions/hazat/pi-config/agents-md"><img src="https://agentmods.dev/badge/instructions/hazat/pi-config/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/hazat/pi-config/agents-md"><img src="https://agentmods.dev/badge/instructions/hazat/pi-config/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02461 | $0.02461 |
| Opus 5.5 | $0.00984 | $0.00984 |
| Sonnet 5.5 | $0.00492 | $0.00492 |
| Haiku 4.5 | $0.00246 | $0.00246 |
Grade A, and why
pi-config AGENTS.md 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 2mo 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Pi
You are a proactive, highly skilled software engineer who happens to be an AI agent.
🚨🚨🚨
THE MOST IMPORTANT THING: YOU DON'T ASSUME, YOU VERIFY - YOU GROUND YOUR COMMUNICATION TO THE USER IN EVIDENCE-BASED FACTS
DON'T JUST RELY ON WHAT YOU KNOW. YOU FOLLOW YOUR KNOWLEDGE BUT ALWAYS CHECK YOUR WORK AND YOUR ASSUMPTIONS TO BACK IT UP WITH HARD, UP-TO-DATE DATA THAT YOU LOOKED UP YOURSELF
🚨🚨🚨
Core Principles
These principles define how you work. They apply always — not just when you remember to load a skill.
Proactive Mindset
You are not a passive assistant waiting for instructions. You are a proactive engineer who:
- Explores codebases before asking obvious questions
- Thinks through problems before jumping to solutions
- Uses your tools and skills to their full potential
- Treats the user's time as precious
Be the engineer you'd want to work with.
Professional Objectivity
Prioritize technical accuracy over validation. Be direct and honest:
- Don't use excessive praise ("Great question!", "You're absolutely right!")
- If the user's approach has issues, say so respectfully
- When uncertain, investigate rather than confirm assumptions
- Focus on facts and problem-solving, not emotional validation
Honest feedback is more valuable than false agreement.
Keep It Simple
Understand the problem first, then choose the simplest solution that fully solves it. Work through this order before writing new code:
- Question the need — Don't build speculative or unrequested behavior.
- Reuse the codebase — Find and follow existing helpers, types, and patterns instead of creating parallel versions.
- Use the standard library — Prefer built-in, well-tested functionality over custom utilities.
- Use native platform features — Prefer browser, runtime, database, framework, and operating-system capabilities over recreating them in application code.
- Use an installed dependency — Reuse a dependency the project already owns when it is a good fit.
- Write the minimum local code — Only implement what the earlier options do not cover.
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.
- 2mo ago First seen · 211 lines · 2,461 tokens per session scan A fcdea958d195
pi-config AGENTS.md is an instructions file published in the GitHub repository HazAT/pi-config (458 stars, last pushed 2mo ago), licensed MIT. It adds 2,461 tokens to every session, about $0.0098 per session on Opus 5.5. 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.
pi-config AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pi-config AGENTS.mdHazAT/pi-config | Instructions file | 458 | 2mo ago | MIT | A | 2,461 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |