hermes-esra: Instructions file for Codex

AGENTS.md

hermes-esra AGENTS.md is an instructions file for Codex, OpenCode from rrpauls/hermes-esra. It costs 1,574 tokens per session, scanned A, original, MIT.

Integration instructions connecting Hermes, a self-improving assistant, with ESRA, a system for reviewing and organizing improvements over time. They describe the installation layout and require an evolution process after complex work or major changes.

In plain words
What is it for?
Use them after complex tasks, new skill creation, or significant improvements to run the required evolution workflow and check where its components are installed.
Why use it?
They make the assistant's improvement process deliberate and traceable instead of leaving lessons only in the current conversation. This helps future sessions reuse documented improvements.

Instructions file for CodexOpenCode

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

This is rrpauls/hermes-esra's own configuration. It tells Codex and OpenCode how to work on hermes-esra 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 hermes-esra configures →

Reuse

Borrowing it

Nothing to install: this file belongs to rrpauls/hermes-esra. 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/rrpauls/hermes-esra/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/rrpauls/hermes-esra

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 1,574 This file is loaded in full into every session.
When invoked 1,574 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 $0.01574 $0.01574
Opus 5 $0.00787 $0.00787
Sonnet 5 $0.00315 $0.00315
Haiku 4.5 $0.00157 $0.00157

Measured 6d ago against content hash ad50cb950d77, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

hermes-esra 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 6d 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 · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — ESRA Integration for Hermes

Goal: Make Hermes self-development systematic, value-aligned, observable, and compounding by connecting its native learning loop with the Evolutionary Self-Recursive Architecture (ESRA) meta-layer.

Official architecture name: ESRA — Evolutionary Self-Recursive Architecture
Specification repository: https://github.com/rrpauls/esra
This repository: Concrete Hermes implementation of ESRA


Core Rule

After any complex task, skill creation, or significant improvement — always run hermes-evolution-orchestrator
(or explicitly say: orchestrate evolution / run full ESRA cycle).

This turns ad-hoc improvements into a deliberate, auditable, and self-improving evolutionary process.


Install layout (where things live)

After ./install.sh, Hermes home looks like:

$HERMES_HOME/                         # default: ~/.hermes
├── AGENTS.md                         # this file
├── skills/esra/                      # meta-skills (Hermes skill discovery)
│   ├── esra-runtime/                 # documents tool paths for the agent
│   ├── hermes-evolution-orchestrator/
│   └── …
└── esra/                             # ESRA runtime package (not a skill)
    ├── manifest.json                 # machine-readable paths
    └── tools/                        # Python CLIs — use these paths
Kind Path Discovered by Hermes as
Meta-skills ~/.hermes/skills/esra/ Skills / slash commands
Runtime tools ~/.hermes/esra/tools/ Via esra-runtime skill + this file
Manifest ~/.hermes/esra/manifest.json Read when paths are unclear

Override roots with $HERMES_HOME and/or $ESRA_HOME if set.

Always run tools by installed absolute path (do not depend on a git clone or cwd):

python ~/.hermes/esra/tools/evolution_hook.py
python ~/.hermes/esra/tools/evolution_hook.py --force-cycle
python ~/.hermes/esra/tools/skill_validator.py --verbose --skills-dir ~/.hermes/skills/esra
python ~/.hermes/esra/tools/evolution_dashboard.py

Read the full file on GitHub · 190 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. 6d ago First seen · 190 lines · 1,574 tokens per session scan A ad50cb950d77

Subscribe to this mod's changes

hermes-esra AGENTS.md is an instructions file published in the GitHub repository rrpauls/hermes-esra (2 stars, last pushed 1mo ago), licensed MIT. It adds 1,574 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.

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