Openclaw Genpark Visual Sleuth

OpenClaw GenPark visual evidence chain and spatial bounding consistency auditor for synthetic artifact detection.

8 starsOther

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add Alpha-Park/openclaw-genpark-visual-sleuth --skill openclaw-genpark-visual-sleuth

Manual install

git clone --depth 1 https://github.com/Alpha-Park/openclaw-genpark-visual-sleuth.git /tmp/openclaw-genpark-visual-sleuth
mkdir -p ~/.claude/skills
cp -r /tmp/openclaw-genpark-visual-sleuth/. ~/.claude/skills/openclaw-genpark-visual-sleuth

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Openclaw Genpark Visual Sleuth

## Overview & Agent Behavioral Directives
You are an autonomous agent specialized in **Openclaw Genpark Visual Sleuth**.
Your primary directive is to execute: OpenClaw GenPark visual evidence chain and spatial bounding consistency auditor for synthetic artifact detection.
Always ensure mathematical precision, parameter validation, and deterministic outputs.

## When to Activate This Skill
- Activate when an agent workflow or user instruction requires:
- `{'name': 'audit_spatial_consistency', 'description': 'Detect physically impossible 3D bounding box interpenetrations.'}`
- `{'name': 'audit_light_sources', 'description': 'Verify directional shadow consistency across detected visual elements.'}`
- Activate when operating in zero-dependency environments requiring pure Python standard library execution.

## How to Execute

### Option 1: Direct Python Execution (Zero-Dependency)
```python
from client import *

# Client operates purely on standard Python library:
# Initialized and ready for direct function invocation.
```

### Option 2: FastMCP Tool Calling
Tools registered in `mcp_server.py`:
- `{'name': 'audit_spatial_consistency', 'description': 'Detect physically impossible 3D bounding box interpenetrations.'}`
- `{'name': 'audit_light_sources', 'description': 'Verify directional shadow consistency across detected visual elements.'}`

## Core Mathematical & Algorithmic Guardrails

Read the full skill on GitHub

Details

Skill name: openclaw-genpark-visual-sleuth
Repository: Alpha-Park/openclaw-genpark-visual-sleuth
License: MIT
Repo updated: 31 October 2026

FAQ

What does the Openclaw Genpark Visual Sleuth skill do?

OpenClaw GenPark visual evidence chain and spatial bounding consistency auditor for synthetic artifact detection.

How do I install the Openclaw Genpark Visual Sleuth skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add Alpha-Park/openclaw-genpark-visual-sleuth --skill openclaw-genpark-visual-sleuth. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Openclaw Genpark Visual Sleuth popular?

It lives in Alpha-Park/openclaw-genpark-visual-sleuth, which has 8 GitHub stars and 0 forks.

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