nano-rlm: Instructions file for Codex

AGENTS.md

nano-rlm AGENTS.md is an instructions file for Codex, OpenCode from PrimeIntellect-ai/nano-rlm. It costs 458 tokens per session, scanned A, original, MIT.

A project instruction document for nano-rlm, covering coding practices, command usage, tests, dependencies, and Git conventions. It requires the uv tool to run Python projects and manage packages.

In plain words
What is it for?
Use it when editing nano-rlm code, running its test suite, adding dependencies, or preparing changes on a correctly named Git branch.
Why use it?
It prevents inconsistent commands, hidden errors, unnecessary tests, and unclear branch naming during development.

Instructions file for CodexOpenCode

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

This is PrimeIntellect-ai/nano-rlm's own configuration. It tells Codex and OpenCode how to work on nano-rlm 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 nano-rlm configures →

Reuse

Borrowing it

Nothing to install: this file belongs to PrimeIntellect-ai/nano-rlm. 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/PrimeIntellect-ai/nano-rlm/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/PrimeIntellect-ai/nano-rlm

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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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.

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Per session 458 This file is loaded in full into every session.
When invoked 458 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 $0.00458 $0.00458
Opus 5.5 $0.00183 $0.00183
Sonnet 5.5 $0.00092 $0.00092
Haiku 4.5 $0.00046 $0.00046

Measured 6d ago against content hash ebcc2ad0acd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nano-rlm 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 · 34 lines

What it actually says

AGENTS.md

Writing code

  • Minimal try/except: let errors propagate — silent failures hide bugs. Only catch for intentional fault tolerance (retries, robustness).
  • Targeted comments: don't explain your work process or reference old code. Use comments sparingly to clarify ambiguous logic or non-obvious constraints.
  • No "this replaced that" comments: never write comments or docstrings that reference code that used to exist. That context belongs in the PR, not in the file. Describe what the code does now, not what it isn't anymore.

Docs

  • Keep docs current: user-facing behavior is documented in docs/ (indexed from the README). A change to that behavior updates the page that describes it in the same PR.

Running code

  • Always use uv: run code with uv run, never raw python.
  • Adding dependencies: add to pyproject.toml and run uv sync (or uv sync --group dev for dev-only) to install and lock.

Testing

  • Run the suite with uv run pytest tests/.
  • Write tests as plain functions; don't use class-based tests.
  • Conservative test additions: don't add new tests unless the user asks or it's clearly necessary. Editing existing tests is fine.
  • Test what matters: only test code with clear, isolated logic. If you need to patch everything to make it testable, it's probably not worth testing.

Git

  • Branch prefixes: use feat/, fix/, chore/, docs/, tests/.

GitHub

  • Draft PRs: always create PRs as drafts (gh pr create --draft) to avoid triggering CI unnecessarily.
  • PR titles: start the title with a conventional-commit prefix matching the branch prefix (feat:, fix:, chore:, docs:, tests:), e.g. a docs/... branch gets a docs: ... title.
  • Pull requests: do not include a "test plan" section unless you actually ran tests or the user explicitly asked for one.
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 Changed · +4 lines · +42 tokens per session ebcc2ad0acd5
  2. 2mo ago First seen · 30 lines · 416 tokens per session scan A 99e8963c0762

Subscribe to this mod's changes

nano-rlm AGENTS.md is an instructions file published in the GitHub repository PrimeIntellect-ai/nano-rlm (74 stars, last pushed yesterday), licensed MIT. It adds 458 tokens to every session, about $0.0018 per session on Opus 5.5. 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 2026-08-30.

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