Borrowing it
Nothing to install: this file belongs to zacharyfmarion/openscad-studio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zacharyfmarion/openscad-studio/main/.agents/skills/pr/SKILL.mdgit clone --depth 1 https://github.com/zacharyfmarion/openscad-studioWrote 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/zacharyfmarion/openscad-studio/pr)<a href="https://agentmods.dev/skills/zacharyfmarion/openscad-studio/pr"><img src="https://agentmods.dev/badge/skills/zacharyfmarion/openscad-studio/pr.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.00501 |
| Opus 5 | $0.00034 | $0.00251 |
| Sonnet 5 | $0.00014 | $0.00100 |
| Haiku 4.5 | $0.00007 | $0.00050 |
Grade A, and why
pr scanned grade A with 0 findings 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 6d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
The source is not reproduced here
Licensed GPL-2.0
The repository is licensed GPL-2.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 6d ago First seen · 32 lines · 69 tokens per session scan A 20f4e08ee3b1
pr is a skill published in the GitHub repository zacharyfmarion/openscad-studio (227 stars, last pushed 17d ago), licensed GPL-2.0. It adds 69 tokens to every session and 501 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
openscad
Use when creating 3D models programmatically via CSG (Constructive Solid Geometry) scripting — parametric parts, customizable designs for 3D printing. OpenSCAD: script-based 3D CAD using a declarative language rather than GUI modeling.
3daistudio
Convert images and text prompts to 3D models (.glb) using the 3D AI Studio API. Supports TRELLIS.2, Hunyuan Rapid, and Hunyuan Pro models.
3d-ai-studio-api
Interact with the 3D AI Studio API. Use when generating 3D models from text or images, creating miniature figurines, generating/editing images, using tools (convert, render, repair, optimize), or polling job status. All operations are async — submit a request, get a taskid, poll until FINISHED. Authenticates via…
3d-print
Search-first 3D printing workflow — finds real specs before modeling, generates manifold-safe models for Bambu Studio / PrusaSlicer / Cura / Fusion 360.
3daistudio
Convert images and text prompts to 3D models (.glb) using the 3D AI Studio API. Supports TRELLIS.2, Hunyuan Rapid, and Hunyuan Pro models.
memory
Use durable BB memory when prior project knowledge or cross-project user preferences can improve the current task, and save durable new learning through the bb memory CLI.