# roboclaw-reports

> roboclaw-reports — hamadou-08-roboclaw-reports. Use this tool when you need to generate HTML reports for AI robotics demos, particularly for VLM policies and MCP skills, to streamline evaluation and documentation processes. It solves the problem of manual report creation, providing a standardized output for analysis and review. The tool takes in data from AI robotics demos and outputs comprehensive HTML reports, ideal for use cases requiring transparent and organized results.

Canonical page: https://skillsregistry.net/skills/hamadou-08-roboclaw-reports  
JSON: https://api.skillsregistry.net/v1/skills/hamadou-08-roboclaw-reports

## Description

AI Robotics Demos 2026 - VLM Policies, MCP Skills & HTML Reports

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/hamadou-08/roboclaw-reports)

## 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": "hamadou-08-roboclaw-reports"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hamadou-08-roboclaw-reports` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hamadou-08-roboclaw-reports/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