skills AGENTS.md

skills AGENTS.md is an instructions file for Codex, OpenCode from niuverse/skills. It costs 796 tokens per session, scanned A, original, MIT.

Repository instructions for building and organizing skills for AI agents. They explain the project structure, the files each skill can contain, and the format of a skill definition.

In plain words
What is it for?
Use them when adding or maintaining skills in this repository, including their instructions, reference documents, scripts, and assets.
Why use it?
They help contributors place files correctly and follow the repository’s conventions. The instructions also clarify that the collection supports tasks such as robot simulation, development, and automation.

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/niuverse/skills/agents-md
Clone the repo
git clone --depth 1 https://github.com/niuverse/skills

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 skills AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/niuverse/skills/agents-md.svg)](https://agentmods.dev/instructions/niuverse/skills/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/niuverse/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/niuverse/skills/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 796 This file is loaded in full into every session.
When invoked 796 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 $0.00796 $0.00796
Opus 5 $0.00398 $0.00398
Sonnet 5 $0.00159 $0.00159
Haiku 4.5 $0.00080 $0.00080

Measured 4d ago against content hash 3e141dc83a47, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skills 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.

AGENTS.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - Niuverse Skills

Project Overview

Niuverse Skills is a curated collection of AI agent skills for robot simulation, development, and automation tasks. Each skill is a modular package providing domain-specific expertise for AI agents (Claude, OpenClaw, Kimi, etc.).

Repository Structure

niuverse-skills/
├── skills/              # Individual skill directories
│   ├── code-simplifier/
│   ├── code-style-imitator/
│   ├── code-style-unifier/
│   ├── robot-sim-expert/
│   ├── python-architect/
│   └── mkdocs-creator/
├── scripts/             # Repository maintenance scripts
│   ├── validate_skills.py
│   └── update_catalog.py
├── .github/workflows/   # CI/CD automation
├── README.md            # Main documentation
├── DESIGN.md            # Design documentation
└── AGENTS.md           # This file

Skill Anatomy

Each skill follows this structure:

skills/<skill-name>/
├── SKILL.md             # Required: Skill definition with YAML frontmatter
├── README.md            # Optional: User-facing documentation
├── references/          # Optional: Reference documentation
│   └── *.md
├── scripts/             # Optional: Executable scripts
│   └── *.py
└── assets/              # Optional: Static assets
    └── *

SKILL.md Format

---
name: skill-name
description: |
  Clear description of what this skill does.
  Include specific triggers and use cases.
  
  Use when: specific situations
  Triggers: keywords that activate this skill
---

# Skill Title

Instructions and guidance...

Development Guidelines

Adding a New Skill

  1. Use the skill-creator tool:

    python /opt/homebrew/lib/node_modules/openclaw/skills/skill-creator/scripts/init_skill.py <skill-name> --path skills --resources scripts,references
    
  2. Edit SKILL.md with proper frontmatter and instructions

  3. Add relevant scripts to scripts/

  4. Test the skill:

    python scripts/validate_skills.py
    
  5. Update README.md catalog

Read the full file on GitHub · 127 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. 4d ago First seen · 127 lines · 796 tokens per session scan A 3e141dc83a47

Subscribe to this mod's changes

skills AGENTS.md is an instructions file published in the GitHub repository niuverse/skills (2 stars, last pushed yesterday), licensed MIT. It adds 796 tokens to every session, about $0.0040 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.

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