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 ForgeCAD/forgecad-public-kit --skill forgecad-inspect-modelgit clone --depth 1 https://github.com/ForgeCAD/forgecad-public-kitWrote 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/forgecad/forgecad-public-kit/forgecad-inspect-model)<a href="https://agentmods.dev/skills/forgecad/forgecad-public-kit/forgecad-inspect-model"><img src="https://agentmods.dev/badge/skills/forgecad/forgecad-public-kit/forgecad-inspect-model/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/forgecad/forgecad-public-kit/forgecad-inspect-model"><img src="https://agentmods.dev/badge/skills/forgecad/forgecad-public-kit/forgecad-inspect-model.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 | $0.00038 | $0.01112 |
| Opus 5 | $0.00019 | $0.00556 |
| Sonnet 5 | $0.00008 | $0.00222 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
forgecad-inspect-model 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inspect Model
Use forgecad inspect ... when a shaded render is too ambiguous and you need structured evidence: a bundle directory with evidence PNGs plus a root manifest.json (or, for inspect section, a probe directory with result.json, section.svg, section.png). Inspection is not a substitute artifact: look inside with sections, masks, --focus/--hide, and transparency — never edit the model into a cutaway or exploded default to make inspecting easier. Output dirs: let inspect allocate its timestamped directory by default (repeated probes never collide); use /tmp/<model>-inspect for throwaway bundles, a project directory only for persistent artifacts.
Routing: authoring/API questions → forgecad skill; creating a new model → forgecad-build-model.
Workflow
-
Identify the failure question. What would make the model wrong: overlap, thin walls, hidden cavity failure, disconnected or accidentally fused bodies, floating parts, orientation artifacts, identity confusion?
-
Confirm the model executes. If in doubt, run
forgecad run model.forge.jsfirst; add--debug-importsfor suspect imports. -
Pick ONE targeted evidence command from the table below.
forgecad inspect evidencelists everything available. -
Summarize the manifest first, then use
jqagainstmanifest.jsonfor targeted follow-up. The helper ships beside this SKILL.md — invoke it skill-dir-relative; it accepts the bundle directory or amanifest.jsonpath:python <this-skill-dir>/summarize_manifest.py /tmp/model-inspect -
Inspect the PNGs, not only the JSON. View identity/context images first, then the risk evidence's view, then orthogonal cameras (
front,right,top) when iso hides the issue, sections only when internals matter. In automation, resolve file paths through the manifest — custom cameras break canonical filenames. -
Isolate intentional overlaps with
--focus "A,B"or--hide "C"so the remaining report stays meaningful. -
Treat findings as model bugs: unexpected collisions, critical thin regions, high unresolved thickness area, wrong component counts, floating bodies, or surprising gaps mean fix the model and reinspect.
-
Report honestly. Include the exact command, bundle path, manifest highlights, and the PNG views actually inspected. Never claim geometry is verified if you only ran
forgecad run.
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.
- 9d ago First seen · 69 lines · 38 tokens per session scan A 6d84397cdc3c
forgecad-inspect-model is a skill published in the GitHub repository ForgeCAD/forgecad-public-kit (931 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 1,112 once invoked, about $0.0002 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.
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