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 agentmods add skills/w1ne/kernelcad-web/kernelcad-mcpnpx skills add w1ne/kernelCAD-web --skill kernelcad-mcpgit clone --depth 1 https://github.com/w1ne/kernelCAD-webWrote 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/w1ne/kernelcad-web/kernelcad-mcp)<a href="https://agentmods.dev/skills/w1ne/kernelcad-web/kernelcad-mcp"><img src="https://agentmods.dev/badge/skills/w1ne/kernelcad-web/kernelcad-mcp.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00051 | $0.11148 |
| Opus 5 | $0.00026 | $0.05574 |
| Sonnet 5 | $0.00010 | $0.02230 |
| Haiku 4.5 | $0.00005 | $0.01115 |
Grade A, and why
kernelcad-mcp 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 4d 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 — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kernelCAD — MCP companion
When to load this skill
Load when kernelcad mcp is available and you need to inspect or edit a live model without re-running the full CLI on every change. The MCP server exposes dynamic introspection tools that operate on evaluated in-memory state.
MCP tool surface
When you have kernelcad mcp available, use the MCP tools for dynamic introspection rather than re-running the CLI. The MCP server exposes the current tool registry, including:
Evaluation and introspection
evaluate_script({ file? code?, dryRun? })— pass/fail + featureCount + diagnostics; plus apartssummary{ count, names }when the scene is assembly-built (absent for single-shape / non-assembly scripts).dryRun: trueis the fast iteration mode: transpile + capture + capture-light checks WITHOUT OCCT lowering, DFM gates, or meshing — milliseconds instead of seconds. A dry run catches script throws, capture-time API misuse, and assembly validity-gate failures, but NOT lowering failures (failed booleans, oversized fillets) ordfmSpecdiagnostics, and it leaves the active session untouched — finish with a fullevaluate_scriptbefore using session-dependent tools.diff_scripts({ baseFile? baseCode?, file? code? })— structured geometric delta between a baseline script and a revision. Returns per-partadded/removed/renamed/changed(volume mm³ + exact bbox deltas; numbers matchinspect({ of: 'part-stats' })), interference totals per side +deltaMm3with per-pair detail, mate-graph changes (type, connectors, pose, limits), and param changes (value/min/max). Single-shape scripts diff as one(root)pseudo-part. Use after editing a script to verify exactly what changed physically before re-rendering; read-only, never touches the active session.inspect({ of: 'features', file? code? })— array of feature summaries (kind/id/params/inputs)inspect({ of: 'assemblies', file? code? })— captured assembly intent: assemblies, parts, named connectors, fixed connections, joints, and aggregate modelsinspect({ of: 'assembly', file? | code?, assembly? })— physical assembly inventory for agents: named parts, bboxes, connectors, mates, mechanical review facts, disconnected solids,unexplainedGeometry, and a next-action prompt. Run this before accepting visually suspicious mechanisms; random/floating geometry must be repaired or explicitly justified by the original prompt.inspect({ of: 'step', file })— inspect a STEP file directly, without evaluating a script ({ file }is required; no{ code }mode): solid tree (index + best-effort name), per-solid exact bounding box + volume + face count, and detected cylindrical holes (axis origin + direction, diameter, depth, blind/through; co-axial seam-split faces merge into one bore). Run this before placing an imported vendor part — find mounting-hole positions and verify the part-local frame from exact geometry instead of measuring renders. CLI equivalent:kernelcad inspect step <file.step>.inspect({ of: 'shape', file? code?, feature_id? })— volume/surfaceArea/bbox of a feature (default: last)inspect({ of: 'topology', file? code?, feature_id? })— canonical face names + edge countinspect({ of: 'face-edges', file? code?, feature_id?, face_name })— boundary edges of a face (centroid, length, isClosed)inspect({ of: 'edges', file? code?, feature_id? })— enumerate all edges (index, centroid, length, isClosed)inspect({ of: 'faces', file? code?, feature_id? })— enumerate all faces with area and centroidinspect({ of: 'face-labels', file? code?, feature_id? })— canonical face names resolvable on a featurequery({ mode: 'lineage', file? code?, feature_id, ref })— walk the HistoryMap chain that produced a named face/edge ref; returns{ chain, usedFallback }.
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.
- 4d ago First seen · 386 lines · 51 tokens per session scan A 03fb595dbf16
kernelcad-mcp is a skill published in the GitHub repository w1ne/kernelCAD-web (17 stars, last pushed 6d ago), licensed MIT. It adds 51 tokens to every session and 11,148 once invoked, about $0.0003 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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