# ICIL

> ICIL — kandarlubis31-icil. Use this tool when you need to access a vast repository of knowledge with 216 courses and 29 faculties, and utilize curated context injection to enhance AI agent performance, with capabilities to integrate with git for seamless information management. It solves problems related to AI training and knowledge acquisition, providing a comprehensive interface for learning and development. Ideal for use cases requiring extensive educational resources and AI model improvement.

Canonical page: https://skillsregistry.net/skills/kandarlubis31-icil  
JSON: https://api.skillsregistry.net/v1/skills/kandarlubis31-icil

## Description

🎓 ICIL — Intelligence Campus Interactive Library. 216 courses · 29 faculties · 10 MCP tools. Curated context injection for AI agents. P@3=72.8% CI All Green.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/kandarlubis31/ICIL)

## 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": "kandarlubis31-icil"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kandarlubis31-icil` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kandarlubis31-icil/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