bambu-studio-ai: Bambu Lab AI (Bambu Studio AI): agent skill for 3D printing on Bambu Lab

by heyixuan2 · Claude Skill · ★ 99

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install bambu-studio-ai

git clone https://github.com/heyixuan2/bambu-studio-ai.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

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.

3d-models3d-printing3mfagent-skillsai-agentsbambu-labbambu-lab-aibambu-studioclaude-codeclaude-skills

Quick Facts

Stars99
Forks12
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score72/100
Open Issues1
Last Updated2026-09-19
Created2026-03-02
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~17k

About bambu-studio-ai

Bambu Studio AI The most complete open-source AI agent skill for Bambu Lab 3D printers. Idea → Search/Generate → Analyze & Repair → Preview → Bambu Studio → Print → Monitor → Notify []() []() Why This Project? Most 3D printing tools give you one piece of the puzzle — a slicer, a model generator, or a printer controller.

Compatible Skills

These tools work well together with bambu-studio-ai for enhanced workflows:

  • Kiln — semantic(0.72)+complementary+rare_topics+same_lang+similar_pop+shared_platform (79%)
  • mcp-3D-printer-server — semantic(0.55)+complementary+rare_topics+similar_pop (58%)
  • Vibe3DScene — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • personal-os-skills — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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How this security grade is produced

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:

View on GitHub → Browse Claude Skill tools