Borrowing it
Nothing to install: this file belongs to matematicsolutions/awesome-matematic-skills-pl. 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/matematicsolutions/awesome-matematic-skills-pl/main/AGENTS.mdgit clone --depth 1 https://github.com/matematicsolutions/awesome-matematic-skills-plWrote 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/matematicsolutions/awesome-matematic-skills-pl/agents-md)<a href="https://agentmods.dev/instructions/matematicsolutions/awesome-matematic-skills-pl/agents-md"><img src="https://agentmods.dev/badge/instructions/matematicsolutions/awesome-matematic-skills-pl/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/matematicsolutions/awesome-matematic-skills-pl/agents-md"><img src="https://agentmods.dev/badge/instructions/matematicsolutions/awesome-matematic-skills-pl/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 | $0.02031 | $0.02031 |
| Opus 5 | $0.01015 | $0.01015 |
| Sonnet 5 | $0.00406 | $0.00406 |
| Haiku 4.5 | $0.00203 | $0.00203 |
Grade A, and why
awesome-matematic-skills-pl 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 10d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - awesome-matematic-skills-pl
An agents.md standard file (Linux Foundation / Agentic AI Foundation) - canonical instructions for AI agents working with this repository. Read natively by Cursor, Codex (OpenAI), Jules (Google), Devin / Windsurf, Aider, Amp, Factory, GitHub Copilot, Claude Code.
Project goal
This repo is a curated hub of Agent Skills for law. Two layers:
./skills/- a bundle of 14 skills installed locally (a directly usable bundle).- README +
.claude-plugin/marketplace.json- an awesome list and a plugin marketplace manifest.
This is not a commercial product - it is an MIT curatorial canon. Its value is an organized map of AI skills for law that lets law firms and NGOs plug ready-made building blocks into their practice without building them from scratch.
MateMatic context (HARD CONSTRAINTS)
MateMatic Solutions = local, GDPR-safe AI tools for law firms. Zero-cloud self-host, vendor-neutral, auditable.
The hub must be:
- Bilingual, with a clear default language - skill titles, descriptions, and triggers are grounded in legal practice and in the applicable law.
- GDPR-safe by default - no skill sends client data to the cloud without isolation or a DPA / SCC.
- Vendor-agnostic - the Agent Skills format (an Anthropic open standard) works in Claude Code, Cowork, Claude.ai, OpenAI Codex CLI, Gemini CLI, Manus, Mistral Vibe.
- No citation hallucination - every legal citation in a SKILL.md MUST pass
citation-grounding-plbefore the PR.
Repo structure
.claude-plugin/
marketplace.json - plugin marketplace manifest (14 entries)
.github/
(issue templates - planned)
skills/
<name>/
SKILL.md - frontmatter + body
references/ - lazy-loaded documentation
scripts/ - executable code
THIRD_PARTY_INSPIRATIONS.md - per-skill cherry-pick canon (if present)
scripts/
check-marketplace.mjs - consistency validator for marketplace.json vs ./skills/
examples/
pipeline-end-to-end.md - how the 6-layer chain works step by step
README.md - curated list + bundle of 14 skills
CONTRIBUTING.md - how to add a skill
LICENSE - MIT (curatorial)
NOTICE - per-skill license attribution
CHANGELOG.md - change log
SECURITY.md - security policy
THIRD_PARTY_INSPIRATIONS.md - cherry-pick canon at the repo level
CITATION.cff - citation metadata for legal scholars
AGENTS.md - this file
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.
- 10d ago First seen · 125 lines · 2,031 tokens per session scan A fe418fc46401
awesome-matematic-skills-pl AGENTS.md is an instructions file published in the GitHub repository matematicsolutions/awesome-matematic-skills-pl (6 stars, last pushed 17d ago), licensed MIT. It adds 2,031 tokens to every session, about $0.0102 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
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.