hermes-lab AGENTS.md

hermes-lab AGENTS.md is an instructions file for Codex, OpenCode from amenti-labs/hermes-lab. It costs 510 tokens per session, scanned A, original, MIT.

Repository instructions for Hermes Lab, a framework for running and tracking experiments. The repository contains code and templates, while a separate data root stores experiment state, runs, and metrics.

In plain words
What is it for?
Use it when entering Hermes Lab, locating its data root, following repository-ingress rules, or managing experiments through labctl.py.
Why use it?
It prevents agents from confusing project files with experiment data and defines the required reading and control commands.

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/amenti-labs/hermes-lab/agents-md
Clone the repo
git clone --depth 1 https://github.com/amenti-labs/hermes-lab

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 hermes-lab AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/amenti-labs/hermes-lab/agents-md.svg)](https://agentmods.dev/instructions/amenti-labs/hermes-lab/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/amenti-labs/hermes-lab/agents-md"><img src="https://agentmods.dev/badge/instructions/amenti-labs/hermes-lab/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 510 This file is loaded in full into every session.
When invoked 510 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 $0.00510 $0.00510
Opus 5 $0.00255 $0.00255
Sonnet 5 $0.00102 $0.00102
Haiku 4.5 $0.00051 $0.00051

Measured 5d ago against content hash dc92d29fca6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

hermes-lab 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 5d 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 · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hermes Lab agent instructions

Root-folder harness contract for AI coding and research agents


What this repo is

A generic autoresearch lab scaffold. The repo holds code and templates. The data root holds canonical experiment state.

  • python3 scripts/labctl.py is the control surface.
  • LAB_MANIFEST.json is the machine-readable command and contract reference.
  • README.md has the full user-facing docs (templates, search strategies, examples).

Data root vs workspace

  • Data root ($HERMES_LAB_DATA_ROOT, default ./lab-data): Lab state -- experiments, runs, metrics, dispatch queue.
  • Workspace (workspace_root in SPEC): Your experiment code. Can be any path on disk.

Repo ingress

Read these in order when pointed at the repo root:

  1. README.md
  2. LAB_MANIFEST.json
  3. docs/AUTORESEARCH-COMPATIBILITY.md
  4. docs/REFERENCE-EXECUTOR.md
  5. docs/MULTI-FIDELITY.md
  6. docs/LOCAL-AGENT-MUTATION.md
  7. docs/DISPATCH.md

If a lab data root already exists, then read:

  1. README-FIRST.md
  2. LAB-STATUS.md
  3. LAB-INDEX.json
  4. PROGRAM.md
  5. experiments/<id>/RUNBOOK.md
  6. experiments/<id>/SUMMARY.md
  7. experiments/<id>/NEXT.md

Write rules

  • Treat the data root as canonical state.
  • Only write inside a claimed run bundle when executing an experiment.
  • If working from dispatch/running/<dispatch-id>/, only write inside run/.
  • Do not hand-edit derived files.
  • RESULT.md is the write-ahead artifact.
  • Use the runbook and spec to determine mutable vs read-only surfaces.

Dispatch protocol

For agent-managed execution, use the dispatch protocol instead of writing directly into experiments/<id>/runs/. The queue package includes dispatch.json, an input/ snapshot, and a writable run/ folder that is ingested into canonical history only after completion.

If mutation_command is omitted and agent_provider is set, the lab synthesizes a local mutation worker through scripts/local_agent_mutation.py.

See docs/DISPATCH.md for the full protocol.

Read the full file on GitHub · 58 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. 5d ago First seen · 58 lines · 510 tokens per session scan A dc92d29fca6c

Subscribe to this mod's changes

hermes-lab AGENTS.md is an instructions file published in the GitHub repository amenti-labs/hermes-lab (5 stars, last pushed 5mo ago), licensed MIT. It adds 510 tokens to every session, about $0.0026 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.

Related

Other instructions, from other repositories

bio-gene-to-reference-tree copilot-instructions.md

Copilot instructions for Hongda-Zhao/bio-gene-to-reference-tree, a project described as: Auditable agent skill for resolving protein queries, selecting references, and planning reproducible phylogenetic trees.

Hongda-Zhao/bio-gene-to-reference-tree · 105 tokens

braina GEMINI.md

Instructions for brainets/braina, covering project: braina (brain interaction analysis), 1. project context & purpose, 2. commands, verify environment (all core dependencies) and run the verification test suite for frites + hoi.

brainets/braina · 1,269 tokens

research-automation CLAUDE.md

Instructions for lucafusarbassini/research-automation, covering ricet - research automation framework, project overview, claude-flow mcp, workflow habits and file organization.

lucafusarbassini/research-automation · 904 tokens

shannon-prover CLAUDE.md

Claude Code instructions for SkyShannonProver/shannon-prover, covering shannon prover: claude entry point, current boundary, easycrypt environment, eval safety and current documentation.

SkyShannonProver/shannon-prover · 586 tokens

SciCrucible CLAUDE.md

Claude Code instructions for Xinyang-Li666/SciCrucible, covering 科学知识库, 知识库结构, 可用命令, 项目目录 and 工作原则.

Xinyang-Li666/SciCrucible · 1,107 tokens

torchcell CLAUDE.md

Claude Code instructions for Mjvolk3/torchcell, covering vision -- the virtual cell (north star), for local configs, git worktrees, programming guide and provenance & reproducibility.

Mjvolk3/torchcell · 12,957 tokens