# jev-scout

> jev-scout — akashpriyadarshii-jev-scout. Use this tool when you need to scout and evaluate open-source repositories and crates with zero-hallucination, leveraging TypeSafe AI Jev System One scoring to identify reliable and trustworthy code. It solves problems of code quality assessment and dependency management, providing inputs such as repository metadata and outputs like scored evaluations. Ideal for use in development workflows where code reliability is crucial, such as dependency auditing and repository curation.

Canonical page: https://skillsregistry.net/skills/akashpriyadarshii-jev-scout  
JSON: https://api.skillsregistry.net/v1/skills/akashpriyadarshii-jev-scout

## Description

Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring

## Trust

- **Trust score (0–1):** 0.85
- **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/AkashPriyadarshii/jev-scout)

## 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": "akashpriyadarshii-jev-scout"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akashpriyadarshii-jev-scout` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akashpriyadarshii-jev-scout/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