# composio-100

> composio-100 — techysan031-composio-100. Use this tool when you need to evaluate and assess the buildability of software applications for AI-agent-toolkit integration, solving problems of compatibility and functionality. It provides a comprehensive research evaluation of 100 software apps, taking git inputs and outputting technical assessment reports. Ideal for use cases requiring thorough analysis of software apps for AI-agent-toolkit development.

Canonical page: https://skillsregistry.net/skills/techysan031-composio-100  
JSON: https://api.skillsregistry.net/v1/skills/techysan031-composio-100

## Description

Research evaluation of 100 software apps for AI-agent-toolkit buildability (Composio Technical Assessment)

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/TechySan031/composio-100)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "techysan031-composio-100"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/techysan031-composio-100` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/techysan031-composio-100/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt