# apropos

> apropos — renejes-apropos. Use this tool when you need to maintain transparent and organized AI research with enforced provenance and citations. It solves problems of disorganized research and unclear sources by providing a local-first desktop app with features like Cursor agent and export packs. The tool takes in research data and outputs organized and citable content, ideal for use cases where academic integrity and transparency are crucial.

Canonical page: https://skillsregistry.net/skills/renejes-apropos  
JSON: https://api.skillsregistry.net/v1/skills/renejes-apropos

## Description

Local-first desktop app for transparent AI research: enforced provenance, citations, Cursor agent, and an export pack for Easy Writing / Penwright.

## Trust

- **Trust score (0–1):** 0.79
- **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/renejes/apropos)

## 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": "renejes-apropos"
    }
  }
}
```

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