Borrowing it
Nothing to install: this file belongs to Verified-zkEVM/clean. 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/Verified-zkEVM/clean/main/AGENTS.mdgit clone --depth 1 https://github.com/Verified-zkEVM/cleanWrote 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/verified-zkevm/clean/agents-md)<a href="https://agentmods.dev/instructions/verified-zkevm/clean/agents-md"><img src="https://agentmods.dev/badge/instructions/verified-zkevm/clean/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/verified-zkevm/clean/agents-md"><img src="https://agentmods.dev/badge/instructions/verified-zkevm/clean/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 | $0.03447 | $0.03447 |
| Opus 5.5 | $0.01379 | $0.01379 |
| Sonnet 5.5 | $0.00689 | $0.00689 |
| Haiku 4.5 | $0.00345 | $0.00345 |
Grade A, and why
clean 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - AI Agent Context for Clean
This document provides context for AI coding agents working on the clean codebase.
What is Clean?
Clean is an embedded Lean DSL for writing formally verified zk (zero-knowledge) circuits. It targets popular arithmetizations like AIR, PLONK, and R1CS. The key value proposition is producing formally verified, bug-free circuits with proofs of soundness and completeness.
Project Structure
Clean/
├── Circuit/ # Core circuit DSL and monad
│ ├── Basic.lean # Circuit monad
│ ├── Formal.lean # FormalCircuit, soundness/completeness definitions
│ ├── Expression.lean # Expression AST (var, const, add, mul)
│ ├── Operations.lean # Operation types (witness, assert, lookup, subcircuit)
│ ├── Provable.lean # ProvableType, ProvableStruct - typed circuit values
│ ├── Subcircuit.lean # Composing formal circuits
│ ├── Lookup.lean # Lookup table support
│ └── Theorems.lean # Core theorems about circuit semantics
├── Gadgets/ # Reusable verified circuit components
│ ├── Boolean.lean # Boolean constraints (IsBool, assertBool)
│ ├── Equality.lean # Equality assertions (===)
│ ├── IsZero.lean # Zero-check circuits
│ ├── ByteDecomposition/ # Byte manipulation
│ ├── BLAKE3/ # BLAKE3 hash function circuits
│ ├── Keccak/ # Keccak hash circuits
│ └── ...
├── Types/ # Domain-specific types (U32, U64, etc.)
├── Tables/ # Lookup tables and table-based circuits
├── Specs/ # Pure specifications (BLAKE3, Keccak specs)
├── Utils/ # Utilities and tactics
│ └── Tactics/
│ ├── CircuitProofStart.lean # Main proof automation
│ └── ProvableStructDeriving.lean # Deriving handler
└── Circomlib/ # Circom library ports
Core Concepts
The Circuit Monad
Circuits are written using the Circuit F α monad, which accumulates operations:
def myCircuit (x : Expression F) : Circuit F (Expression F) := do
let y ← witness (x + 1) -- witness a new variable
y === x + 1 -- add constraint: y = x + 1
return y
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 · 310 lines · 3,447 tokens per session scan A 5125decc967f
clean AGENTS.md is an instructions file published in the GitHub repository Verified-zkEVM/clean (208 stars, last pushed yesterday), licensed MIT. It adds 3,447 tokens to every session, about $0.0138 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.
clean AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| clean AGENTS.mdVerified-zkEVM/clean | Instructions file | 208 | yesterday | MIT | A | 3,447 | 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 | today | 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 |