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.
npx agentmods add instructions/sergeionlyart/minius_codex_lab/agents-mdgit clone --depth 1 https://github.com/sergeionlyart/minius_codex_labWrote 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/sergeionlyart/minius_codex_lab/agents-md)<a href="https://agentmods.dev/instructions/sergeionlyart/minius_codex_lab/agents-md"><img src="https://agentmods.dev/badge/instructions/sergeionlyart/minius_codex_lab/agents-md.svg" alt="Measured on agentmods" 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 | $0.00742 | $0.00742 |
| Opus 5 | $0.00371 | $0.00371 |
| Sonnet 5 | $0.00148 | $0.00148 |
| Haiku 4.5 | $0.00074 | $0.00074 |
Grade A, and why
minius_codex_lab 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintainer instructions
Purpose
minius_codex_lab is the public source and distribution repository for an
independent legal-work workspace for Codex. It is not an official product,
system, or position of the Ministry of Justice of Ukraine, OpenAI, or any
government body. Never add real matters, client documents, operational memory,
logs, generated legal work, personal data, restricted information, or secrets
to this repository.
Repository map
.agents/skills/— canonical skill sources..codex/agents/— canonical role sources.workspace-template/— runtime-only files and empty/seed data structures.tools/— deterministic document tooling.scripts/— validation, safety, and release tooling.tests/— unit, lifecycle, safety, and reproducibility tests.docs/— architecture, security, compatibility, development, and release policy.dist/— generated release artifacts; never commit it.
The root AGENTS.md governs maintainers. The runtime instruction shipped to
users is workspace-template/AGENTS.md; the release builder maps it to the
root of the generated workspace.
Development commands
python3.11 -m venv .venv
source .venv/bin/activate
python -m pip install "ruff>=0.11,<1" "pytest>=8,<10"
python -m pip install -r workspace-template/requirements.txt
ruff check .
ruff format --check .
python3 scripts/validate_workspace.py --mode upstream
python3 scripts/check_repo_safety.py --profile upstream-public
python3 -m unittest discover -s tests -v
python3 -m unittest discover -s tools/verifiable_document/tests -v
python3 -m pytest
python3 scripts/build_release.py
python3 scripts/build_release.py --check-reproducibility
Change rules
- Keep skills canonical in
.agents/skills/; every skill needs explicit trigger/non-trigger conditions, inputs, outputs, workflow, evidence and safety rules, stop conditions, definition of done, and a test fixture or documented acceptance test. - Keep roles canonical in
.codex/agents/; define a narrow responsibility, allowed and prohibited actions, write scope, and handoff format. Research and audit roles are read-only by default. - Treat hooks, rules, configuration, manifests, and the release allowlist as security-sensitive. Review them before execution and test behavioral changes.
- Never edit generated ZIPs or checksums. Change source files and rebuild.
- A repeated procedure belongs in a skill; a durable cross-cutting rule belongs here; an independent specialization belongs in a role; a major architectural decision needs an ADR or RFC.
- Add a reproducing test or fixture before fixing a behavioral defect. Update
documentation and
CHANGELOG.mdwhenever behavior or a public contract 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.
- 4d ago First seen · 77 lines · 742 tokens per session scan A a994a6a8ce6c
minius_codex_lab AGENTS.md is an instructions file published in the GitHub repository sergeionlyart/minius_codex_lab (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 742 tokens to every session, about $0.0037 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.
Other instructions, from other repositories
fedlex-mcp CLAUDE.md
Claude Code instructions for malkreide/fedlex-mcp, covering claude.md, teil 1 — portfolio-konventionen, vor der arbeit, tests and wenn etwas rot ist.
Legal-Workflow-Chain CLAUDE.md
Instructions for lawyerllsx-dotcom/Legal-Workflow-Chain, covering claude.md — llm wiki schema(开源模板), 核心原则, 文件处理规则, 文书完成前自检清单 and 知识存储规则.
legal-case-research AGENTS.md
AGENTS.md instructions for silvrblt/legal-case-research, covering agents.md —— 给 ai 智能体的运行指南(工具无关), 这个项目是什么, 数据从哪来(两种,二选一), 一个智能体应当怎么跑 and 哪些 ai 能跑完这套工作流.
law7 CLAUDE.md
Claude Code instructions for mikhashev/law7, covering claude.md, project overview, development commands, typescript (mcp server) and python (data pipeline).
open-agreements AGENTS.md
AGENTS.md instructions for open-agreements/open-agreements, covering repository guide and local mcp servers.
stemma CLAUDE.md
Claude Code instructions for stemma-sh/stemma, covering claude.md, build & test, prime directive: no silent fallbacks, model-first and tests encode the domain, not the implementation.