awesome-workplaces-skills: Instructions file for Claude Code

AGENTS.md

awesome-workplaces-skills AGENTS.md is an instructions file for Claude Code, Codex, OpenCode from moose-lab/awesome-workplaces-skills. It costs 316 tokens per session, scanned A, original, MIT.

Contribution instructions for a marketplace of reusable skills for AI coding agents. They describe where skills are stored, how their Claude Code copies and metadata are created, and which scripts validate and synchronize them.

In plain words
What is it for?
Use them when adding or updating a skill, creating its metadata and plugin files, synchronizing copies, registering it in the marketplace, and running validation.
Why use it?
A skill can be present in one agent format but missing or inconsistent in another. These instructions define the repository structure and checks needed to publish skills reliably.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: Claude Code plugin machinery, but also the file is AGENTS.md. Also seen: mentions Claude Code; mentions Codex.

This is moose-lab/awesome-workplaces-skills's own configuration. It tells Claude Code, Codex and OpenCode how to work on awesome-workplaces-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything awesome-workplaces-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to moose-lab/awesome-workplaces-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/moose-lab/awesome-workplaces-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/moose-lab/awesome-workplaces-skills

Made for: Claude Code, 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.

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README.md
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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.

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<a href="https://agentmods.dev/instructions/moose-lab/awesome-workplaces-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/moose-lab/awesome-workplaces-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 316 This file is loaded in full into every session.
When invoked 316 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00316 $0.00316
Opus 5 $0.00158 $0.00158
Sonnet 5 $0.00063 $0.00063
Haiku 4.5 $0.00032 $0.00032

Measured 9d ago against content hash b4c357b573a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

awesome-workplaces-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 9d 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 · 27 lines

What it actually says

Awesome Workplaces Skills — Contributor Guide

This repository is a multi-agent skill marketplace. Each skill is a self-contained module that can be discovered and executed by Claude Code, OpenAI Codex, Cursor, and other AI coding agents.

Repository Structure

  • Canonical skill source: .agents/skills/<skill-name>/ — edit files here
  • Claude Code plugin copy: <skill-name>/skills/<skill-name>/ — synced from canonical source
  • Sync script: scripts/sync-skills.sh — keeps Claude Code copy in sync
  • Validation: scripts/validate-all-agents.sh — checks structure, content, and consistency

Adding a New Skill

  1. Create .agents/skills/<skill-name>/SKILL.md with frontmatter (name, description)
  2. Add references/, examples/, scripts/ subdirectories as needed
  3. Create .agents/skills/<skill-name>/agents/openai.yaml for Codex UI metadata
  4. Create the Claude Code plugin directory: <skill-name>/.claude-plugin/plugin.json
  5. Run bash scripts/sync-skills.sh to copy to Claude Code plugin directory
  6. Register the plugin in .claude-plugin/marketplace.json
  7. Run bash scripts/validate-all-agents.sh to verify everything passes

Available Skills

Skill Description
gmail-waitlist Zero-cost Gmail-powered email waitlist for landing pages
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. 9d ago First seen · 27 lines · 316 tokens per session scan A b4c357b573a3

Subscribe to this mod's changes

awesome-workplaces-skills AGENTS.md is an instructions file published in the GitHub repository moose-lab/awesome-workplaces-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 316 tokens to every session, about $0.0016 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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