# codeprovenance

> codeprovenance — darkm3tter-codeprovenance. Use this tool when you need to track and manage the origin and evolution of AI-generated code, enabling transparency and accountability in AI development. It solves problems of code traceability, auditing, and compliance by linking file changes to specific AI agents, sessions, and prompts. The tool accepts input from AI code generation activities and outputs detailed reports on code provenance and activity.

Canonical page: https://skillsregistry.net/skills/darkm3tter-codeprovenance  
JSON: https://api.skillsregistry.net/v1/skills/darkm3tter-codeprovenance

## Description

MCP server for AI code provenance, enabling traceability of file changes to AI agents, sessions, and prompts, plus reporting on AI-generated code activity.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uvnmygecoo)
- **Repository:** <https://github.com/darkm3tter/codeprovenance>

## 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": "darkm3tter-codeprovenance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/darkm3tter-codeprovenance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/darkm3tter-codeprovenance/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