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 ghbalf/freecad-ai --skill enclosuregit clone --depth 1 https://github.com/ghbalf/freecad-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/ghbalf/freecad-ai/enclosure)<a href="https://agentmods.dev/skills/ghbalf/freecad-ai/enclosure"><img src="https://agentmods.dev/badge/skills/ghbalf/freecad-ai/enclosure/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/ghbalf/freecad-ai/enclosure"><img src="https://agentmods.dev/badge/skills/ghbalf/freecad-ai/enclosure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.01789 |
| Opus 5 | $0.00000 | $0.00894 |
| Sonnet 5 | $0.00000 | $0.00358 |
| Haiku 4.5 | $0.00000 | $0.00179 |
Grade A, and why
enclosure 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 12d 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 LGPL-2.1
The repository is licensed LGPL-2.1, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 102 lines · 0 tokens per session scan A 34ff9d033716
enclosure is a skill published in the GitHub repository ghbalf/freecad-ai (483 stars, last pushed today), licensed LGPL-2.1. It costs nothing until one of its globs matches a file; then it loads 1,789 tokens. 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
enclosure
Design a mechanically credible, FDM-friendly enclosure around measured component dimensions, with clearances, mounting features, connector openings, and verification before export.
fdm-dfm
Review an existing model for consumer FDM printability. Separate general geometric principles from printer/material/orientation-specific recommendations.
neuroskill-bci
Use live BCI cognitive and mood state from NeuroSkill.
findmy
Track Apple devices/AirTags via FindMy.app on macOS.
openhue
Control Philips Hue lights, scenes, rooms via OpenHue CLI.
spark-environment-setup
Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.