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/scenario-labs/skills/agents-mdgit clone --depth 1 https://github.com/scenario-labs/skillsWrote 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/scenario-labs/skills/agents-md)<a href="https://agentmods.dev/instructions/scenario-labs/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/scenario-labs/skills/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 5.1 | $0.06684 | $0.06684 |
| Opus 5 | $0.03342 | $0.03342 |
| Sonnet 5 | $0.01337 | $0.01337 |
| Haiku 4.5 | $0.00668 | $0.00668 |
Grade A, and why
skills AGENTS.md scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- MCP is the surface a skill teaches. Every step the body has an agent perform itself goes through an MCP tool, including the ones reachable another way: do not route the agent through the Scenario REST API, the official How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI agents (and humans) working in this repository.
What this repo is
Public Agent Skills for Scenario: procedural knowledge that teaches AI coding agents how to create production-ready content (images, video, audio, textures, skyboxes, 3D, custom models) through the Scenario MCP server. The workflows serve games, entertainment, and any creative vertical. Skills follow the Agent Skills format, install with npx skills add scenario-labs/skills, and are listed on skills.sh.
Layout
skills/<name>/SKILL.md # name must equal the directory name
tests/<name>/ # test suite for any script shipped with skill <name>
Supporting files (heavy references, scripts) may sit next to a SKILL.md only when the content is too large to inline. Link supporting files directly from SKILL.md: agents resolve file references one level deep, so a reference chained through another supporting file may never be read.
A skill may also carry a README.md documenting how it was built and why it makes the choices it does. That file is for the agents and humans working on the skill, not for the agent running it, so it is the one supporting file exempt from the link rule (pnpm skill-files skips it): linking it would spend body words and invite a runtime agent to read maintainer notes as instructions, which has been observed to make an agent discount a fact it needed.
Every script shipped with a skill has a test suite in tests/<name>/ at the repo root, never inside the skill directory: published skill directories carry only what an agent needs at runtime. Python scripts are tested with stdlib unittest; TypeScript scripts with vitest. See Validation and testing.
Public content only
This repository is public. Everything in it, including commit messages, PR text, and issue text, must be limited to publicly shareable language:
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.
- 2d ago Changed · +3 lines · +992 tokens per session b23a7f9ff95d
- 5d ago First seen · 112 lines · 5,692 tokens per session scan A 81b08df39d57
skills AGENTS.md is an instructions file published in the GitHub repository scenario-labs/skills (10 stars, last pushed 2d ago), licensed MIT. It adds 6,684 tokens to every session, about $0.0334 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
Skills CLAUDE.md
Instructions for kriscard/Skills, covering claude.md, requirements, repository structure, skill structure and frontmatter rules (verified against official docs).
openehr-assistant-plugin AGENTS.md
Instructions for Cadasto/openehr-assistant-plugin, covering ai guidelines: openehr assistant plugin, project overview, domain context, companion mcp server and calling conventions the server enforces.
fw-dev-tools CLAUDE.md
Claude Code instructions for freshworks-developers/fw-dev-tools: This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
skills-check CLAUDE.md
Instructions for voodootikigod/skills-check, covering claude.md, what this project is, scope: what skills-check owns, scope: what skills-check does not own and prds and roadmap.
openehr-assistant-plugin copilot-instructions.md
Instructions for Cadasto/openehr-assistant-plugin: Follow the repository guidelines in AGENTS.md for coding standards, project structure, MCP conventions, and developer workflows.
claude-multiagent-catalogue CLAUDE.md
Claude Code instructions for asleekgeek/claude-multiagent-catalogue, covering claude.md, what this repository is, scope note: repo name is legacy, common commands and list everything available across all buckets.