Grade a ForgeCAD or CAD-as-code model against a requirement, brief, prompt, reference, or acceptance criteria with evidence and a 0-10 score.
npx skills add https://github.com/ForgeCAD/forgecad-public-kit --skill forgecad-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.
Unknown.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.iso, front, right, top to a scratch dir; add views (back, bottom, close-up, section) when the model is asymmetric, hollow, mechanical, or likely to hide mistakes.forgecad-inspect-model skill. Findings (unexpected collisions, thin regions, floating bodies, wrong component counts) are evidence, not warnings to wave away..5 increments. Unknowns count against the score.| 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. |
Anchors: 9-10 = evidence-backed match for the brief; 7-8 = recognizable and mostly complete, fixable gaps; 5-6 = main idea only; below 5 = broken or loosely related.
Maximum scores, applied after the rubric:
2.4.5.6.6.6.7.translate() placement, missing connector mates, or parent/child data flow confusion: max 7; max 6 when the violation makes the assembly brittle or mechanically wrong.6; max 5 when the defect invalidates the main function.scene() rig), a generically colorful or material-false palette, or teaching-diagram styling: max 8. Does not apply when the brief asks for a blockout or bare technical study.Unknown, never score above 8.Score: N / 10
Requirement checklist:
| Item | Result | Evidence |
| --- | --- | --- |
| ... | Pass/Partial/Fail/Unknown | render/inspection/file evidence |
Evidence reviewed: run outcome; views inspected; inspection highlights.
Why this score: decisive strengths and defects.
Caps applied: list, or `None`.
Next fixes: the 2-5 highest-leverage improvements.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take forgecad/forgecad-grade-model from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.