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-image-promptgit 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-image-prompt)<a href="https://agentmods.dev/skills/forgecad/forgecad-public-kit/forgecad-image-prompt"><img src="https://agentmods.dev/badge/skills/forgecad/forgecad-public-kit/forgecad-image-prompt/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-image-prompt"><img src="https://agentmods.dev/badge/skills/forgecad/forgecad-public-kit/forgecad-image-prompt.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 | $0.00836 |
| Opus 5 | $0.00019 | $0.00418 |
| Sonnet 5 | $0.00008 | $0.00167 |
| Haiku 4.5 | $0.00004 | $0.00084 |
Grade A, and why
forgecad-image-prompt 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 11d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Prompt
Scope
Only for artifacts already concrete enough to visualize (a specific .forge.js model, build brief, or HLD); route vague briefs to forgecad-design-spec first. Read minimum context — entry .forge.js, one key helper if it delegates geometry, brief/HLD — and capture what must survive the image model: artifact type and scale, major subassemblies, actuation style, visible mechanisms, material and color cues.
Core Rule
Image prompts, not concept art: show the final artifact clearly, preserve build and subsystem truth, and keep visible the seams, modules, hardware, and mechanical hierarchy that matter.
Negatives (the only negatives list — reuse it, never restate variants):
- no fake sleek consumer shell, no hidden mechanics
- no over-smoothed geometry, no sci-fi styling
- no CAD-drawing, blueprint, or dimension-arrow pretense
- no cutaway, sectioned, or exploded teaching view unless the user explicitly asks
- no text, labels, or humans
Prompt Skeleton
Block order: identity → mechanism truth → materials/color truth → pose/state → shot/camera/lighting → negatives. Fill in, don't copy:
A [artifact identity and scale], designed as a real buildable CAD-driven object, not a fantasy concept. [Major subassemblies and mechanism truth]. [Materials, colors, finish, visible hardware]. Show it in [pose / state]. [Shot, camera, background, lighting]. It should look physically buildable and mechanically honest, with visible part boundaries and serviceable architecture. No [negative 1], no [negative 2], no [negative 3].
Default shot: front-left three-quarter hero view, eye-level product camera. Alternate: rear-right three-quarter view showing motor placement and belt routing.
Modes
Default to ONE honest hero render; add support prompts only when the user asks. Prefer separate single-purpose images over collages or multi-view boards.
| Mode | Job | Signature phrases |
|---|---|---|
| Honest hero render (default) | Final object clearly, still reads as buildable | clean premium studio product render, physically buildable and mechanically honest |
| Builder-first mechanical | Teach the build; bias to interfaces, seams, mounted actuators | clear visibility of interfaces, seams, and subsystem boundaries, serious prototype, not a polished consumer shell |
| Mild exploded | Assembly logic; major modules only, no per-screw chaos. Image-only — the CAD model stays the complete assembled product | major modules separated by small clean gaps, no tiny floating fragments |
| Workshop prototype realism | Feel like a real first prototype | visible print lines and honest surface texture, uncluttered engineering bench background |
| End-effector close-up | Wrist/gripper mechanism detail | close-up on the wrist and end effector showing the mechanism clearly |
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.
- 11d ago First seen · 60 lines · 38 tokens per session scan A 6eb6138001d7
forgecad-image-prompt 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 836 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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