ruleprobe AGENTS.md

Project instructions for RuleProbe, a TypeScript tool that checks whether coding agents follow instruction files. They define the required tools, code style, and architecture boundaries.

In plain words
What is it for?
Use them when modifying RuleProbe, installing dependencies, writing TypeScript, or running its build and test checks.
Why use it?
They keep contributions compatible with the project by requiring its chosen package manager, test runner, strict typing, dependency format, and verification steps.

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/moonrunnerkc/ruleprobe/agents-md
Clone the repo
git clone --depth 1 https://github.com/moonrunnerkc/ruleprobe

Made for: Codex, OpenCode.

Per session 1,576 This file is loaded in full into every session.
When invoked 1,576 The same file — it is already loaded in full.
Security scan A 0 findings. 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 $0.01576 $0.01576
Opus 5 $0.00788 $0.00788
Sonnet 5 $0.00315 $0.00315
Haiku 4.5 $0.00158 $0.00158

Measured 2d ago against content hash 910b63c3d595, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ruleprobe 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 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.

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.

AGENTS.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Instructions for AI coding agents working on the RuleProbe codebase.

RuleProbe verifies whether agents follow instruction files. This file is the instruction file for agents working on RuleProbe itself. It is parsed by RuleProbe in the self-check workflow, so every rule below is written to be machine-verifiable.

Project

Build and Test

  • Use npm as the package manager. Do not switch to pnpm, yarn, or bun.
  • Use vitest as the test runner. Do not introduce jest or mocha.
  • Run npm test before declaring any change complete.
  • Run npm run build to verify the TypeScript compile is clean.
  • A package-lock.json must exist at the repo root.
  • Pinned dependency versions are required in package.json (no ^ or ~ ranges).

Code Style

  • Use TypeScript strict mode. Never disable strict checks.
  • Never use any. Use unknown and narrow, or define a precise type.
  • Always use named exports. Never use default exports.
  • Use camelCase for variables and functions.
  • Use PascalCase for types, interfaces, and classes.
  • Use kebab-case for filenames.
  • Prefer const over let.
  • Prefer interface over type for object shapes.
  • Prefer async/await over .then() chains.
  • Never use console.log in production code. Use the structured logger.
  • Never use eval.
  • No magic numbers without a named constant or inline comment justifying the value.
  • No em dashes anywhere in source, comments, docs, or commit messages. Use commas, colons, semicolons, parentheses, or separate sentences.
  • Files must stay under 300 lines. If a file approaches the limit, decompose it.
  • Add full JSDoc to every exported function, class, and type.
  • Avoid nested ternaries. Use early returns to flatten control flow.

Architecture Boundaries

  • Parser code lives under src/parser/. Do not call verifier code from the parser.
  • Verifier engines live under src/verifiers/. Each engine exports a single entrypoint that returns VerificationResult[].
  • The semantic tier lives under src/semantic/. Source code must never leave the user's machine. Only numeric AST vectors, opaque sub-tree hashes, boolean flags, and rule text may be sent to an LLM.
  • The CLI lives under src/cli/. Commands compose pipeline functions; they do not contain pipeline logic.
  • Shared types live under src/types/. Do not duplicate type definitions across modules.

Read the full file on GitHub · 130 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 · 130 lines · 1,576 tokens per session scan A 910b63c3d595

Subscribe to this mod's changes

ruleprobe AGENTS.md is an instructions file published in the GitHub repository moonrunnerkc/ruleprobe (2 stars, last pushed 3mo ago), licensed MIT. It adds 1,576 tokens to every session, about $0.0079 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 2026-08-31.