Borrowing it
Nothing to install: this file belongs to 0xzr/freellmpool. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/0xzr/freellmpool/main/AGENTS.mdgit clone --depth 1 https://github.com/0xzr/freellmpoolWrote 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.
[](https://agentmods.dev/instructions/0xzr/freellmpool/agents-md)<a href="https://agentmods.dev/instructions/0xzr/freellmpool/agents-md"><img src="https://agentmods.dev/badge/instructions/0xzr/freellmpool/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/instructions/0xzr/freellmpool/agents-md"><img src="https://agentmods.dev/badge/instructions/0xzr/freellmpool/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01200 | $0.01200 |
| Opus 5.5 | $0.00480 | $0.00480 |
| Sonnet 5.5 | $0.00240 | $0.00240 |
| Haiku 4.5 | $0.00120 | $0.00120 |
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 2mo 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.
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.jsonas 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
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.
- 2mo ago First seen · 123 lines · 1,200 tokens per session scan A 1c9ad5bfdc52
freellmpool AGENTS.md is an instructions file published in the GitHub repository 0xzr/freellmpool (146 stars, last pushed 7d ago), licensed MIT. It adds 1,200 tokens to every session, about $0.0048 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.
freellmpool AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| freellmpool AGENTS.md0xzr/freellmpool | Instructions file | 146 | 7d ago | MIT | A | 1,200 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |