# prection

> Use this tool when you need to predict code changes or identify potential issues in your Git repository. It analyzes code commits and provides insights to solve problems such as debugging, code review, and project maintenance. By inputting Git repository data, prection outputs predictive analytics and recommendations to improve code quality and stability.

Canonical page: https://skillsregistry.net/skills/zjl13031-byte-prection  
JSON: https://api.skillsregistry.net/v1/skills/zjl13031-byte-prection

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/zjl13031-byte/prection)

## 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": "zjl13031-byte-prection"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zjl13031-byte-prection` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zjl13031-byte-prection/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