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-grade-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-grade-model)<a href="https://agentmods.dev/skills/forgecad/forgecad-public-kit/forgecad-grade-model"><img src="https://agentmods.dev/badge/skills/forgecad/forgecad-public-kit/forgecad-grade-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-grade-model"><img src="https://agentmods.dev/badge/skills/forgecad/forgecad-public-kit/forgecad-grade-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 | $0.00037 | $0.01128 |
| Opus 5 | $0.00018 | $0.00564 |
| Sonnet 5 | $0.00007 | $0.00226 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
forgecad-grade-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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grade Model
Grade the delivered model against the requirement, not against what could be fixed later. Never edit the model unless the user explicitly requests repairs — then record the baseline grade first, change, and re-grade.
Workflow
- Extract the requirement into a checklist, must-haves separate from nice-to-haves. If the brief is vague, grade the most reasonable literal interpretation and mark unverifiable items
Unknown. - Run the model:
forgecad run <model>.forge.js(in the ForgeCAD repo use the local build,node dist-cli/forgecad.js run ...). If it fails to execute, stop and apply the caps. - Render at least
iso,front,right,topto a scratch dir; add views (back, bottom, close-up, section) when the model is asymmetric, hollow, mechanical, or likely to hide mistakes. - Open and look at every PNG — never score from command output alone. Check silhouette, proportions, required features, part boundaries, interfaces, and whether the model reads as the requested artifact from more than one angle.
- Inspect whenever hidden internals, fit, wall thickness, or assembly behavior are central to the brief — grading without inspecting them caps the score. Delegate evidence choice, commands, and manifest reading to the
forgecad-inspect-modelskill. Findings (unexpected collisions, thin regions, floating bodies, wrong component counts) are evidence, not warnings to wave away. - Score: fill the rubric, apply caps, give a final 0-10 in whole or
.5increments. Unknowns count against the score.
Rubric
| Dimension | Points | What To Look For |
|---|---|---|
| Requirement fit | 4 | Satisfies the stated must-haves, captures the intended object/function, no drift into a generic substitute. |
| Geometric completeness | 2 | Correct silhouette, proportions, visible details, part boundaries, internal structure when required, no missing major components. |
| Mechanical/manufacturing plausibility | 2 | Believable materials/process, real interfaces, clear load paths, fasteners/seats/clearances where needed, no impossible assembly. |
| Validation health | 1 | Runs cleanly, renders from multiple views, targeted inspections reveal no major unaddressed issues. |
| Code/model quality | 1 | Parametric clarity, readable organization, meaningful names, no debug junk, appropriate ForgeCAD APIs. |
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 · 73 lines · 37 tokens per session scan A e6241c9302ae
forgecad-grade-model is a skill published in the GitHub repository ForgeCAD/forgecad-public-kit (931 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 1,128 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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