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 aAAaqwq/AGI-Super-Team --skill composio-sdkgit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/composio-sdk)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/composio-sdk"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/composio-sdk/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/aaaaqwq/agi-super-team/composio-sdk"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/composio-sdk.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.01780 |
| Opus 5 | $0.00013 | $0.00890 |
| Sonnet 5 | $0.00005 | $0.00356 |
| Haiku 4.5 | $0.00003 | $0.00178 |
Grade A, and why
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 5d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Composio
Comprehensive guide to building AI agents and applications with Composio. Choose between:
- Tool Router - Create isolated, secure MCP sessions for AI agents with automatic authentication
- Direct Execution - Build traditional apps with manual tool execution and CRUD operations
When to use
Use this skill when:
Building AI Agents:
- Building chat-based or autonomous agents that need access to external tools (Gmail, Slack, GitHub, etc.)
- Creating multi-user applications with isolated tool access per session
- Implementing automatic authentication flows for external services
- Integrating with AI frameworks (Vercel AI SDK, LangChain, OpenAI Agents, Claude)
- Using MCP (Model Context Protocol) for dynamic tool discovery
- Building event-driven agents with triggers
Building Traditional Applications:
- Creating CRUD applications that execute tools directly
- Building automation workflows without agent frameworks
- Managing connected accounts and authentication configurations
- Creating custom tools with specific authentication requirements
- Implementing multi-tenant applications with session isolation
- Building tools with pre/post-execution hooks and modifiers
1. Building Agents
Use Tool Router to build interactive chat-based agents or autonomous long-running task agents. Tool Router creates isolated MCP sessions for users with scoped access to toolkits and tools.
Key Features:
- Session-based isolation per user
- Dynamic toolkit and tool configuration
- Automatic authentication management
- MCP-compatible server URLs for any AI framework
- Connection state querying for UI building
- Real-time event handling with triggers
1.1 Session Management & Configuration
Essential patterns for creating agent sessions and configuring tools:
- User ID Best Practices - Choose user IDs for security and isolation
- Creating Basic Sessions - Initialize Tool Router sessions
- Session Lifecycle Best Practices - When to create new sessions vs reuse
- Session Configuration - Configure toolkits, tools, and filters
- Using Native Tools - Prefer native tools for performance and control
- Framework Integration - Connect with Vercel AI, LangChain, OpenAI Agents
What ships with it
26 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.
- AGENTS.md 181 KB
- rules/_template.md 620 B
- rules/app-auth-configs.md 5.7 KB
- rules/app-connected-accounts.md 6.3 KB
- rules/app-custom-tools.md 5.0 KB
- rules/app-execute-tools.md 5.8 KB
- rules/app-fetch-tools.md 4.5 KB
- rules/app-modifiers.md 3.3 KB
- rules/app-tool-versions.md 9.9 KB
- rules/app-toolkits.md 5.0 KB
- rules/app-user-context.md 5.6 KB
- rules/tr-auth-auto.md 3.0 KB
- rules/tr-auth-connections.md 5.0 KB
- rules/tr-auth-manual.md 4.9 KB
- rules/tr-building-chat-ui.md 9.3 KB
- rules/tr-framework-integration.md 21 KB
- rules/tr-mcp-vs-native.md 7.5 KB
- rules/tr-session-basic.md 1.9 KB
- rules/tr-session-config.md 4.0 KB
- rules/tr-session-lifecycle.md 10 KB
- rules/tr-toolkit-query.md 4.3 KB
- rules/tr-userid-best-practices.md 12 KB
- rules/triggers-create.md 5.7 KB
- rules/triggers-manage.md 6.8 KB
- rules/triggers-subscribe.md 4.1 KB
- rules/triggers-webhook.md 5.3 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.
- 5d ago First seen · 192 lines · 26 tokens per session scan A c09580cb7e05
composio is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 1,780 once invoked, about $0.0001 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 2026-09-05.
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