SRAgent AGENTS.md

SRAgent AGENTS.md is an instructions file for Codex, OpenCode from ArcInstitute/SRAgent. It costs 628 tokens per session, scanned A, original, MIT.

Repository instructions for SRAgent, a Python tool with a command-line interface, data tools, workflows, and tests.

In plain words
What is it for?
Following the project’s folder structure, running its tests and command-line checks, building its Docker image, and matching its Python naming and style rules.
Why use it?
They give an agent clear rules for how the project is organised, built, tested, and written, reducing guesswork when changing the code.

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/arcinstitute/sragent/agents-md
Clone the repo
git clone --depth 1 https://github.com/ArcInstitute/SRAgent

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 SRAgent AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/arcinstitute/sragent/agents-md.svg)](https://agentmods.dev/instructions/arcinstitute/sragent/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/arcinstitute/sragent/agents-md"><img src="https://agentmods.dev/badge/instructions/arcinstitute/sragent/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 628 This file is loaded in full into every session.
When invoked 628 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 $0.00628 $0.00628
Opus 5 $0.00314 $0.00314
Sonnet 5 $0.00126 $0.00126
Haiku 4.5 $0.00063 $0.00063

Measured 4d ago against content hash ff544f0cdad4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

SRAgent 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 4d 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 · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Structure & Module Organization

  • SRAgent/: Python package (CLI in cli/, agent logic in agents/, tools in tools/, workflows in workflows/, DB helpers in db/).
  • tests/: Pytest suite mirroring package layout (e.g., tests/agents/, tests/workflows/).
  • scripts/: Standalone utilities and evaluation helpers.
  • assets/: Images used in docs.
  • Root files: pyproject.toml (build), Dockerfile, README.md, .env (optional), .github/workflows/ (CI).

Build, Test, and Development Commands

  • Install (user): pip install .
  • Install (dev): pip install -e ".[dev]"
  • Run tests: pytest tests/
  • CLI help: SRAgent --help
  • Example run: SRAgent entrez "Convert GSE121737 to SRX accessions"
  • Docker (optional): docker build -t sragent . then docker run --rm -e OPENAI_API_KEY -e ANTHROPIC_API_KEY sragent --help

Coding Style & Naming Conventions

  • Python ≥ 3.11; follow PEP 8 with 4‑space indents and descriptive names.
  • Names: modules/functions snake_case, classes CamelCase, constants UPPER_SNAKE_CASE.
  • Prefer type hints and docstrings on public functions; keep functions small and focused.
  • No repo‑enforced linter; keep style consistent with nearby code and avoid introducing new tooling/config without discussion.

Testing Guidelines

  • Framework: pytest. Place tests under tests/ with files named test_*.py and test functions test_*.
  • Mirror CLI and workflow behavior; see tests/test_cli_help.py for a pattern to validate subcommand help and exit codes.
  • Add tests for new features and edge cases; avoid network‑dependent tests unless mocked.

Commit & Pull Request Guidelines

  • Commits: concise, imperative subject; include context in the body when changing behavior or interfaces (e.g., “Add disease‑ontology agent”).
  • PRs: clear description, rationale, and usage notes; link issues when applicable. Include example CLI invocations or sample output for user‑facing changes.
  • CI: GitHub Actions runs pytest on Python 3.11/3.12 for main and dev. PRs must be green before merge.

Read the full file on GitHub · 37 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. 4d ago First seen · 37 lines · 628 tokens per session scan A ff544f0cdad4

Subscribe to this mod's changes

SRAgent AGENTS.md is an instructions file published in the GitHub repository ArcInstitute/SRAgent (182 stars, last pushed 1mo ago), licensed MIT. It adds 628 tokens to every session, about $0.0031 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 2026-08-30.

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