freellmpool AGENTS.md

freellmpool AGENTS.md is an instructions file for Codex, OpenCode from 0xzr/freellmpool. It costs 1,200 tokens per session, scanned A, original, MIT.

Project instructions for 0xzr/freellmpool, a project using metaswarm, a framework that coordinates multiple coding agents through defined work stages.

In plain words
What is it for?
Guiding work in that repository, including task setup, planning, design review, multi-agent execution, testing, and final review.
Why use it?
They explain how to start work, when to use the full process, and which project skills are available.

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/0xzr/freellmpool/agents-md
Clone the repo
git clone --depth 1 https://github.com/0xzr/freellmpool

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 freellmpool AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/0xzr/freellmpool/agents-md.svg)](https://agentmods.dev/instructions/0xzr/freellmpool/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/0xzr/freellmpool/agents-md"><img src="https://agentmods.dev/badge/instructions/0xzr/freellmpool/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,200 This file is loaded in full into every session.
When invoked 1,200 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 $0.01200 $0.01200
Opus 5 $0.00600 $0.00600
Sonnet 5 $0.00240 $0.00240
Haiku 4.5 $0.00120 $0.00120

Measured 5d ago against content hash 1c9ad5bfdc52, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

freellmpool 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 · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions

This project uses metaswarm, a multi-agent orchestration framework. It provides 18 specialized agents, a 9-phase development workflow, and quality gates that enforce TDD, coverage thresholds, and spec-driven development.

How to Work in This Project

Starting work

$start

This is the default entry point. It primes the agent with relevant knowledge, guides you through scoping, and picks the right level of process for the task.

For complex features (multi-file, spec-driven)

Describe what you want built, include a Definition of Done, and ask for the full workflow:

I want you to build [description]. [Tech stack, DoD items, file scope.]
Use the full metaswarm orchestration workflow.

This triggers the full pipeline: Research, Plan, Design Review Gate, Work Unit Decomposition, Orchestrated Execution (4-phase loop per unit), Final Review, PR.

Available Skills

Codex discovers skills by their SKILL.md name field. Invoke with $name syntax.

Invoke Purpose
$start Begin tracked work on a task
$setup Interactive guided setup
$brainstorming-extension Refine an idea with design review gate
$design-review-gate Trigger design review gate (5 reviewers)
$plan-review-gate Adversarial plan review (3 reviewers)
$orchestrated-execution 4-phase execution loop per work unit
$pr-shepherd Monitor a PR through to merge
$handling-pr-comments Handle PR review comments
$create-issue Create a well-structured GitHub Issue
$external-tools External AI tool delegation
$status Run diagnostic checks
$visual-review Playwright screenshot capture

Testing

  • TDD is mandatory -- Write tests first, watch them fail, then implement
  • Coverage floors required -- 80% package line coverage and 70% package branch coverage, evaluated separately. Enforced via .coverage-thresholds.json as a blocking gate before PR creation and task completion
  • Test command: pytest
  • Coverage command: pytest --cov=freellmpool --cov-branch --cov-report=term-missing --cov-report=json:.coverage.json && python scripts/check_coverage.py .coverage.json

Read the full file on GitHub · 123 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 · 123 lines · 1,200 tokens per session scan A 1c9ad5bfdc52

Subscribe to this mod's changes

freellmpool AGENTS.md is an instructions file published in the GitHub repository 0xzr/freellmpool (96 stars, last pushed 5d ago), licensed MIT. It adds 1,200 tokens to every session, about $0.0060 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.

Related

Other instructions, from other repositories