llms.txt llmstxtA

llms.txt is agent-read markdown (llmstxt) from hermes-labs-ai/rule-audit.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Owner: Hermes Labs - https://hermes-labs.ai

# rule-audit

> Static analyzer for LLM system prompts. Parses a prompt into normative rules and reports logical contradictions, coverage gaps, priority ambiguities, meta-rule paradoxes, and absolute-rule edge cases. Pure Python, zero LLM dependency, deterministic. Part of the Hermes Labs reliability stack.

rule-audit is, roughly, a linter for AI system prompts. Given a raw prompt string, it extracts normative rules, classifies their modality (MUST / MUST_NOT / SHOULD / MAY), scores absoluteness, and finds pairs that conflict. For each finding it renders a concrete example scenario with a suggested attack vector and mitigation — illustrative starting points for testing, not verified exploits. No API keys, no network, no LLM calls.

Install: `pip install rule-audit`. Python 3.9+. MIT licensed.

## Docs

- [README](README.md): Install, quickstart, CLI and Python API usage, architecture overview.
- [SPEC](SPEC.md): Full technical spec — parsing algorithm, contradiction detection methodology, severity calibration, data model, performance characteristics, known limitations.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add hermes-labs-ai/rule-audit/llms.txt@git:20260923.3cc5946
Exact content
mdr add hermes-labs-ai/rule-audit/llms.txt@sha256:fe4d68fcad6d998b

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_dn2nazlzdnyclftg.svg)](https://markdownregistry.com/a/art_dn2nazlzdnyclftg)

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Versions

versioncommittedcommitsizeaudit
git:20260923.3cc5946 latest2026-09-23 3cc5946 3,408 BA view · diff
git:20260921.36432d52026-09-21 36432d5 3,505 BA view · diff
git:20260913.d6aea492026-09-13 d6aea49 3,431 BA view · diff
git:20260907.eebbd822026-09-07 eebbd82 3,423 BA view · diff
git:20260606.72770882026-06-06 7277088 3,418 BA view · diff
git:20260531.10585602026-05-31 1058560 3,125 BA view · diff
git:20260430.58841602026-04-30 5884160 7,036 BA view

Audit of the latest version

A  14 of 14 checks passed. Deterministic, no model, same answer every run.
  • pass: Size between 200 bytes and 200 KB (3408 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hermes-labs-ai/rule-audit · 3 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_dn2nazlzdnyclftg
GET https://markdownregistry.com/api/v1/resolve?ref=hermes-labs-ai/rule-audit/llms.txt
GET https://markdownregistry.com/api/v1/blob/fe4d68fcad6d998bac08b22e19a333536c86053c7533b69a33c34384a8a20c25

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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