hermeneutic: Instructions file for Codex

AGENTS.md

hermeneutic AGENTS.md is an instructions file for Codex, OpenCode from hermes-labs-ai/hermeneutic. It costs 740 tokens per session, scanned A, original, Apache-2.0.

A deterministic English-language checker for drafts produced by an assistant. It flags patterns such as overstating completion, using unsupported certainty, expanding scope, or making unsubstantiated quality claims.

In plain words
What is it for?
Use it as a gate on assistant drafts with the hermeneutic command, then inspect its verdict and decide whether the wording needs evidence or revision.
Why use it?
It provides a quick second check before a message is sent, especially when the draft includes numbers, completion claims, or summaries of other agents’ work.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents; mentions AGENTS.md.

This is hermes-labs-ai/hermeneutic's own configuration. It tells Codex and OpenCode how to work on hermeneutic itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hermeneutic configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hermes-labs-ai/hermeneutic. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/hermes-labs-ai/hermeneutic/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/hermes-labs-ai/hermeneutic

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for hermeneutic AGENTS.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/hermes-labs-ai/hermeneutic/agents-md"><img src="https://agentmods.dev/badge/instructions/hermes-labs-ai/hermeneutic/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.

agentmods 80×15 button for hermeneutic AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/hermes-labs-ai/hermeneutic/agents-md"><img src="https://agentmods.dev/badge/instructions/hermes-labs-ai/hermeneutic/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 740 This file is loaded in full into every session.
When invoked 740 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00740 $0.00740
Opus 5 $0.00370 $0.00370
Sonnet 5 $0.00148 $0.00148
Haiku 4.5 $0.00074 $0.00074

Measured 9d ago against content hash 3eaccda84f2c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

hermeneutic 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 9d 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 · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — using hermeneutic from a coding agent

This file is for AI coding agents and host applications that want to call the standalone hermeneutic CLI or Python library.

What this tool does

A fixed deterministic English drift check for assistant-generated drafts. It flags eight surface shapes including completion overclaiming, relayed authority, unhedged certainty, scope expansion, and unsupported quality adjectives. It does not read the personal correction corpus or run the optional Router.

When to invoke it

Run hermeneutic gate on any assistant draft before you send it to the user when:

  • The draft contains numeric claims (file counts, test counts, percentages, ms).
  • The draft summarizes work completed by a subagent.
  • The draft uses completion language ("done", "shipped", "all green").
  • The draft contains universal quantifiers ("every", "all", "always").
  • You want a cheap second-opinion gate that doesn't require an LLM call.

Inspect the printed verdict as well as the exit code: low-severity RISK is advisory and exits 0; medium/high RISK exits 1. A caller that chooses to hold a draft should either:

  1. Add the missing evidence (run the verification commands, paste the output).
  2. Hedge the claim ("appears to" / "based on N samples").
  3. Cut the unverifiable text.

Programmatic use

from hermeneutic import Router, PressureProbe

probe = PressureProbe(judge=your_llm_call)  # callable: prompt -> str

def repair(request, draft, reason):
    return your_llm_call(f"Revise: {reason}\n\n{draft}")

router = Router(probe=probe, repairer=repair)
result = router.gate(request=user_request, draft=your_draft)
if result.repaired:
    log(f"hermeneutic caught drift: {result.summary()}")
final = result.final_output

Calibration

PressureProbe ships with a generic "rigorous-skeptic" calibration. To make it match your team's standards, pass your own calibration text:

my_calibration = """
You are reviewing drafts for a security-critical product.
Bias toward HOLD when:
- Any security claim lacks a CVE or vendor-confirmed citation.
- Code changes touch authentication or crypto without a test diff.
"""
probe = PressureProbe(judge=your_llm_call, calibration=my_calibration)

Read the full file on GitHub · 85 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. 9d ago First seen · 85 lines · 740 tokens per session scan A 3eaccda84f2c

Subscribe to this mod's changes

hermeneutic AGENTS.md is an instructions file published in the GitHub repository hermes-labs-ai/hermeneutic (6 stars, last pushed 6d ago), licensed Apache-2.0. It adds 740 tokens to every session, about $0.0037 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.

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