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/speakeasy-api/skills/agents-mdgit clone --depth 1 https://github.com/speakeasy-api/skillsWhat 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 | $0.01364 | $0.01364 |
| Opus 5 | $0.00682 | $0.00682 |
| Sonnet 5 | $0.00273 | $0.00273 |
| Haiku 4.5 | $0.00136 | $0.00136 |
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 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.
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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance for AI coding agents working on the Speakeasy Agent Skills repository. It covers how to create, maintain, and improve skills for the Speakeasy CLI.
Repository Structure
speakeasy-api/skills/
├── .claude-plugin/ # Claude Code plugin configuration
│ ├── plugin.json # Plugin manifest (namespace: "speakeasy")
│ └── marketplace.json # Marketplace metadata
├── skills/ # Skill definitions
│ └── {skill-name}/
│ └── SKILL.md # Skill instructions
├── templates/ # Skill templates
│ └── SKILL.template.md # Template for new skills
├── AGENTS.md # This file (contributor guidance)
├── CLAUDE.md # Claude-specific contributor guidance
├── README.md # End-user documentation
└── LICENSE # Apache-2.0
Creating a New Skill
1. Directory Structure
mkdir skills/{skill-name}
Use kebab-case for directory names (e.g., manage-openapi-overlays).
2. SKILL.md Format
Every skill must have a SKILL.md file with YAML frontmatter. See templates/SKILL.template.md for a complete example.
Required structure:
---
name: skill-name
description: Use when [trigger condition]. Include phrases like "X", "Y", or "Z".
---
Required sections:
| Section | Purpose |
|---|---|
# skill-name |
Title matching the directory name |
## When to Use |
Trigger scenarios and example phrases |
## Command |
The speakeasy command to run |
## Example |
Working example with explanation |
Recommended sections:
| Section | Purpose |
|---|---|
## Prerequisites |
Required setup, env vars, dependencies |
## Decision Framework |
Table mapping situations to actions |
## What NOT to Do |
Anti-patterns the AI should avoid |
## Related Skills |
Links to related skills |
3. Naming Conventions
- Directory:
kebab-case(e.g.,start-new-sdk-project) - SKILL.md: Always uppercase, exact filename
- Frontmatter
name: Must match directory name exactly
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 First seen · 183 lines · 1,364 tokens per session scan A 7cd2fd873371
skills AGENTS.md is an instructions file published in the GitHub repository speakeasy-api/skills (18 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 1,364 tokens to every session, about $0.0068 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
cortex-mem AGENTS.md
Instructions for sopaco/cortex-mem, covering cortex memory - ai agent context guide, project overview, core concepts, memory dimensions and three-tier layers.
ai-toolkit AGENTS.md
Instructions for pipefy/ai-toolkit, covering repository guidelines, documentation map, project structure, import namespace migration: pipefysdk → pipefy and src/pipefysdk/init.py (transitional shim).
superpowers-reasonix AGENTS.md
Instructions for christopherarter/superpowers-reasonix, covering project guidance, skills — stop. load a skill before you act, red flags — these thoughts mean stop. you are rationalizing and priority.
ai-mind AGENTS.md
Instructions for HWYD/ai-mind, covering agents, version spec workspace continuity (mandatory), 项目定位, 事实来源优先级 and 开始大改前先读什么.
agent-skills AGENTS.md
Instructions for sayeed1999/agent-skills, covering agents.md, output style, output style, 1. think before code and 2. simplicity.
webflow-skills AGENTS.md
Instructions for 224-Industries/webflow-skills, covering 224 industries - webflow agent skills repository, agents.md (symlink to claude.md), repo structure, reference file conventions and content style.