Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add heyixuan2/bambu-studio-ai --skill bambu-studio-aigit clone --depth 1 https://github.com/heyixuan2/bambu-studio-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/heyixuan2/bambu-studio-ai/bambu-studio-ai)<a href="https://agentmods.dev/skills/heyixuan2/bambu-studio-ai/bambu-studio-ai"><img src="https://agentmods.dev/badge/skills/heyixuan2/bambu-studio-ai/bambu-studio-ai/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/heyixuan2/bambu-studio-ai/bambu-studio-ai"><img src="https://agentmods.dev/badge/skills/heyixuan2/bambu-studio-ai/bambu-studio-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00130 | $0.08450 |
| Opus 5 | $0.00065 | $0.04225 |
| Sonnet 5 | $0.00026 | $0.01690 |
| Haiku 4.5 | $0.00013 | $0.00845 |
Grade B, and why
bambu-studio-ai scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
secrets_storage: ".secrets.json (chmod 600, git-ignored)" How it starts
The opening of the file, as written. The whole thing — 661 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🖨️ Bambu Studio AI
Request → Collect Info → Search/Generate → Analyze(11pt) → [Colorize] → Preview(chat) → Open BS → [User Slices in BS] → Confirm → Print → Monitor
Pre-check: If config.json does not exist → run First-Time Setup before any operation.
At the start of each turn: If handling a print request, re-read the Pipeline Checklist and Compliance Rules. Ensure you are not skipping any MUST step.
⛔ COMPLIANCE RULES — Follow Strictly
Before every action, verify you are not violating these rules:
| Rule | Meaning |
|---|---|
| MUST | Non-negotiable. Skip = failure. |
| NEVER | Forbidden. Doing it = failure. |
| WAIT | Do not proceed until user responds. |
NEVER Do These
- ❌ NEVER skip Information Collection — Always ask: model source (search/generate), dimensions (if generating), single/multi-color, material
- ❌ NEVER generate without dimensions — MUST ask "How big? e.g., 80mm tall" before
generate.py - ❌ NEVER skip analyze — Every model MUST go through
analyze.py --orient --repair - ❌ NEVER skip preview — MUST send preview image/GIF to chat before opening Bambu Studio. User must SEE the model.
- ❌ NEVER skip Bambu Studio confirmation — MUST open in BS, tell user to inspect, WAIT for explicit "looks good" / "print it"
- ❌ NEVER auto-print — No
bambu.py printwithout user confirmation. AI models have errors. - ❌ NEVER skip model source choice — MUST ask user: search vs generate vs not sure (default: search first)
MUST Do These (in order)
- Collect info → Ask model source, dimensions (if generate), colors, material
- Get model → Search or generate per user choice
- Analyze →
analyze.py --orient --repairon every model - Preview to chat →
preview.py --views turntable→ send image/GIF to user - Open Bambu Studio →
open -a "BambuStudio" model.3mf(or model.stl/obj) - User slices in Bambu Studio → Tell user to slice, inspect, and confirm
- Wait for confirmation → Do not proceed until user says ready
- Print → Only after confirmation
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 661 lines · 130 tokens per session scan B a1c412e6c9be
bambu-studio-ai is a skill published in the GitHub repository heyixuan2/bambu-studio-ai (96 stars, last pushed 2mo ago), licensed MIT. It adds 130 tokens to every session and 8,450 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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