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 skills add Bilal140202/the-lord-of-the-skills --skill composiohq__composiogit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-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/skills/bilal140202/the-lord-of-the-skills/composiohq__composio)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/composiohq__composio"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/composiohq__composio/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/skills/bilal140202/the-lord-of-the-skills/composiohq__composio"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/composiohq__composio.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 | $0.00000 | $0.03697 |
| Opus 5 | $0.00000 | $0.01849 |
| Sonnet 5 | $0.00000 | $0.00739 |
| Haiku 4.5 | $0.00000 | $0.00370 |
Grade A, and why
composiohq__composio 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.
How it starts
The opening of the file, as written. The whole thing — 447 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building AI Agents with Composio SDK
This skill provides comprehensive guidance for building AI agents using Composio SDK with various provider frameworks.
Overview
Composio integrates with 10+ major AI agent frameworks, allowing you to add tools and external integrations to your agents. Each framework-specific skill provides:
- Installing and setting up the provider SDK
- Finding latest SDK versions (NPM/PyPI)
- Official documentation links and latest examples
- Code examples for building agents with Composio tools
- Best practices and troubleshooting tips
Installing Composio Packages
Working in Composio SDK Repository (This Workspace)
If you're working within the Composio SDK repository itself, install packages from the workspace:
TypeScript:
pnpm i @composio/core @composio/<provider> --workspace
Example:
pnpm i @composio/core @composio/openai --workspace
External Projects (Outside SDK Repository)
For projects outside the Composio SDK repository, install from NPM/PyPI:
TypeScript:
npm install @composio/core @composio/<provider>
Python:
pip install composio-<provider>
# or
uv pip install composio-<provider>
Examples:
# TypeScript
npm install @composio/core @composio/openai
# Python
pip install composio-openai
Available Framework Skills
Use /building-agents-using-<framework> to access specific guides:
1. building-agents-using-openai
Build agents using OpenAI's Chat Completions API, Assistants API, and Agents API.
- Languages: TypeScript, Python
- Key Features: Function calling, streaming, parallel tool calls
- Models: GPT-4o, GPT-4o-mini, GPT-4 Turbo
- Use Cases: General-purpose agents, chatbots, automation
Invoke: /building-agents-using-openai
2. building-agents-using-anthropic
Build agents using Anthropic's Codex API and Codex Agent SDK.
- Languages: TypeScript, Python
- Key Features: Prompt caching, long context, thinking blocks
- Models: Codex 3.7 Sonnet, Codex 3.5 Sonnet, Codex 3 Opus
- Use Cases: Complex reasoning, code analysis, long documents
What ships with it
39 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- canonical__SKILL.md 14 KB
- SKILL_1.md 2.6 KB
- SKILL_10.md 2.8 KB
- SKILL_11.md 5.7 KB
- SKILL_12.md 3.1 KB
- SKILL_13.md 6.2 KB
- SKILL_14.md 1.8 KB
- SKILL_15.md 1.7 KB
- SKILL_16.md 2.7 KB
- SKILL_17.md 3.1 KB
- SKILL_18.md 18 KB
- SKILL_19.md 14 KB
- SKILL_2.md 4.0 KB
- SKILL_20.md 14 KB
- SKILL_21.md 2.6 KB
- SKILL_22.md 4.0 KB
- SKILL_23.md 2.7 KB
- SKILL_24.md 2.7 KB
- SKILL_25.md 3.5 KB
- SKILL_26.md 3.1 KB
- SKILL_27.md 8.2 KB
- SKILL_28.md 3.4 KB
- SKILL_29.md 2.8 KB
- SKILL_3.md 2.7 KB
- SKILL_30.md 5.7 KB
- SKILL_31.md 3.1 KB
- SKILL_32.md 6.8 KB
- SKILL_33.md 6.2 KB
- SKILL_34.md 1.8 KB
- SKILL_35.md 1.7 KB
- SKILL_36.md 2.7 KB
- SKILL_37.md 3.1 KB
- SKILL_38.md 18 KB
- SKILL_4.md 2.2 KB
- SKILL_5.md 2.7 KB
- SKILL_6.md 3.4 KB
- SKILL_7.md 3.1 KB
- SKILL_8.md 8.2 KB
- SKILL_9.md 3.4 KB
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.
- 9d ago First seen · 447 lines · 0 tokens per session scan A e6a260bce9e5
composiohq__composio is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (4 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,697 tokens. 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 2026-09-03.
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