Borrowing it
Nothing to install: this file belongs to yammaku/cross-agent-skills-template. 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/yammaku/cross-agent-skills-template/main/AGENTS.mdgit clone --depth 1 https://github.com/yammaku/cross-agent-skills-templateWrote 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/yammaku/cross-agent-skills-template/agents-md)<a href="https://agentmods.dev/instructions/yammaku/cross-agent-skills-template/agents-md"><img src="https://agentmods.dev/badge/instructions/yammaku/cross-agent-skills-template/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/yammaku/cross-agent-skills-template/agents-md"><img src="https://agentmods.dev/badge/instructions/yammaku/cross-agent-skills-template/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 | $0.02208 | $0.02208 |
| Opus 5 | $0.01104 | $0.01104 |
| Sonnet 5 | $0.00442 | $0.00442 |
| Haiku 4.5 | $0.00221 | $0.00221 |
Grade A, and why
cross-agent-skills-template 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file is the development guide for this skills-registry repo itself.
Use it when this repository is the active project and the user wants to improve the skill system, not just operate it from another project.
Read Order
Repo Purpose
This template is the source-of-truth catalog and install-management system for AI agent skills across:
- Antigravity
- Claude Code
- Codex
- Gemini CLI
This repo is both:
- a catalog of canonical skill sources
- a small product that generates agent-global and project-local install views from manifests
- a universal shared meta-skill that teaches agents how to operate the system safely
Template Boundary
This repo is the public, distributable template version of the system. It is not the user's lived-in private registry.
Treat it as:
- the productized minimal starter
- the public distribution surface
- the place where reusable system behavior should remain clean and understandable to new users
Do not let it drift into a copy of the private live registry.
The private sibling repo currently lives at:
Document Roles
Treat the docs as layered on purpose:
- README.md: front door, bootstrap instructions, and high-level system model
- skills/shared/manage-agent-skills/SKILL.md: cross-project operator manual after bootstrap
- AGENTS.md and CLAUDE.md: repo-local development guide for evolving this system itself
- README.md is intentionally the AI-led onboarding contract for fresh install and migration. Do not split that into a separate bootstrap skill.
If a rule is necessary for correct behavior from any project, it belongs in the meta-skill. If a rule is about improving this repo as a product, it belongs here.
The intended cross-project workflow is:
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 · 211 lines · 2,208 tokens per session scan A 5df5591810e8
cross-agent-skills-template AGENTS.md is an instructions file published in the GitHub repository yammaku/cross-agent-skills-template (11 stars, last pushed 5mo ago), licensed MIT. It adds 2,208 tokens to every session, about $0.0110 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 2026-08-30.
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).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.