# skillhub

> Use this tool when you need to identify and prioritize code maintenance tasks, such as TODOs and FIXMEs, in large codebases. It scans code for specific patterns and provides output in multiple formats, supporting CI gates for streamlined integration. Ideal for use in continuous integration workflows to ensure code quality and maintenance.

Canonical page: https://skillsregistry.net/skills/cognis-digital-skillhub  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-skillhub

## Description

Enables AI agents to scan codebases for TODO/FIXME/XXX patterns and get prioritized results over MCP, supporting CI gates and multiple output formats.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v9nuwtxwxz)
- **Repository:** <https://github.com/cognis-digital/skillhub>

## 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": "cognis-digital-skillhub"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-skillhub` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-skillhub/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