by HoldMyBeer-gg · MCP Server · ★ 151
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/HoldMyBeer-gg/blend-ai.git
Taken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 151 |
| Forks | 22 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 70/100 |
| Last Updated | 2026-10-01 |
| Created | 2026-03-22 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~17k |
blend-ai The most intuitive and efficient MCP Server for Blender. Control Blender entirely through AI assistants like Claude — create 3D models, set up scenes, animate, render, and more, all through natural language. blend-ai goes beyond tool exposure: it guides the LLM to produce professional 3D results through expert prompts, proven workflows, visual feedback, and mesh quality analysis.
These tools work well together with blend-ai for enhanced workflows:
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: