Agent-Proof AGENTS.md

A set of operating instructions for AI coding agents working in the Agent-Proof repository. It defines the project’s directories, commands, build process, and mandatory mechanical checks.

In plain words
What is it for?
Use it when modifying Agent-Proof, especially when building its TypeScript bundles, following repository gates, or working under the Builder role.
Why use it?
Multiple agents can accidentally bypass tests, edit protected governance files, or change acceptance criteria while trying to make code pass. These rules keep development and verification controlled.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/heretek-ai/agent-proof/agents-md
Clone the repo
git clone --depth 1 https://github.com/Heretek-AI/Agent-Proof

Made for: Codex, OpenCode.

Per session 2,653 This file is loaded in full into every session.
When invoked 2,653 The same file — it is already loaded in full.
Security scan B 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.02653 $0.02653
Opus 5 $0.01326 $0.01326
Sonnet 5 $0.00531 $0.00531
Haiku 4.5 $0.00265 $0.00265

Measured 2d ago against content hash 86769aac646e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

Agent-Proof AGENTS.md scanned grade B with 1 finding 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 2d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- Governance files are intentionally locked with read-only permissions (`chmod 0444`). Do not attempt to overwrite or change their permissions unless explicitly instructed by a human administrator.
AGENTS.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Multi-Agent Development & Mechanical Governance Protocol

Welcome to Agent-Proof (@heretek-ai/agent-proof). This document establishes the multi-agent operational standards, mechanical hard-gate execution rules, and architecture guidelines for autonomous AI coding agents operating within this repository.


🎯 Primary Directives for AI Agents

  1. Deterministic Mechanical Governance Over Soft Prompts:

    • Never attempt to bypass, disable, or modify mechanical hard gates (lefthook.yml, .claude/hooks.json, biome.json, ruff.toml, .aislop/config.yml).
    • Governance files are intentionally locked with read-only permissions (chmod 0444). Do not attempt to overwrite or change their permissions unless explicitly instructed by a human administrator.
    • Never bypass git hooks with git commit --no-verify. All commits must pass mechanical pre-commit validation in < 2.0s.
  2. Proof-Loop Role Separation & Specification Freezing:

    • When acting in the Builder role, all test suites (tests/**, __tests__/**), specifications (spec.md), and acceptance criteria are frozen.
    • Modifying test assertions to force failing code to pass is strictly blocked by ByteFence with SPEC_TEST_FROZEN.
  3. Zero-Tolerance for AI Slop & Unsafe Casting:

    • No Empty Catch Blocks / Swallowed Errors: Always handle exceptions explicitly, log with context, rethrow with cause (new Error(msg, { cause: err })), or return explicit typed failure results.
    • Strict Type Safety: Avoid as any or unchecked type assertions. Use TypeScript type guards, interfaces, or validated schemas (e.g. Zod).
    • No Hallucinated Imports: Only import from installed packages declared in package.json / pyproject.toml or verified relative paths within the project.
    • Clean ASTs & Formatting: Ensure code adheres to Biome / Ruff formatting standards without lint violations or dead code.
  4. Strict Suppression Hygiene Protocol:

    • Never insert blind suppression comments (// @ts-ignore, // @ts-nocheck, # noqa, // biome-ignore, // eslint-disable) to bypass mechanical gates.
    • Newly introduced suppression comments without documented human rationale will trigger blocking Severity 1 failures (AI_SLOP_UNAUTHORIZED_SUPPRESSION).

Read the full file on GitHub · 175 lines

Changes

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.

  1. 2d ago First seen · 175 lines · 2,653 tokens per session scan B 86769aac646e

Subscribe to this mod's changes

Agent-Proof AGENTS.md is an instructions file published in the GitHub repository Heretek-AI/Agent-Proof (1 stars, last pushed 12d ago), licensed MIT. It adds 2,653 tokens to every session, about $0.0133 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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