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 w1ne/kernelCAD-web --skill kernelcad-srdfgit 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-srdf)<a href="https://agentmods.dev/skills/w1ne/kernelcad-web/kernelcad-srdf"><img src="https://agentmods.dev/badge/skills/w1ne/kernelcad-web/kernelcad-srdf/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/w1ne/kernelcad-web/kernelcad-srdf"><img src="https://agentmods.dev/badge/skills/w1ne/kernelcad-web/kernelcad-srdf.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 | $0.00050 | $0.00744 |
| Opus 5 | $0.00025 | $0.00372 |
| Sonnet 5 | $0.00010 | $0.00149 |
| Haiku 4.5 | $0.00005 | $0.00074 |
Grade A, and why
kernelcad-srdf 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kernelCAD — SRDF export
SRDF layers planning-group and motion-planner semantics on top of a URDF: which joints form an arm, which links form a gripper, which link pairs are safe to ignore for collision-checking, and named pose snapshots. kernelCAD's export({ target: 'model', format: 'srdf' }) writes the .srdf file; the allowed-collision matrix is auto-derived from the existing mate graph.
When to use
- The assembly has at least one planning group declared via
arm.planningGroup(...). - The downstream consumer needs motion-planner semantics (planning groups, end-effectors, named pose states, allowed-collision matrix).
Always pair with kernelcad-urdf: SRDF is a layer over URDF, not a standalone description.
Capture-time API
Five capture-time methods on the arm.* namespace. Each is declarative — the methods record intent; export materialises the SRDF later.
arm.planningGroup('main', { chain: { baseLink: 'base', tipLink: 'tool_tip' } });
arm.planningGroup('gripper', { joints: ['gripper-open'] });
arm.endEffector('tool', { parentLink: 'tool_tip', group: 'gripper', parentGroup: 'main' });
arm.virtualJoint('world_joint', { type: 'fixed', parentFrame: 'world', childLink: 'base' });
arm.groupState('home', 'main', { 'shoulder-pitch': 0, 'elbow-pitch': 0 });
arm.disableCollision('linkA', 'linkB', { reason: 'User' });
Allowed-collision matrix (ACM)
Auto-derived from the existing kernelCAD data. Four reasons:
- Adjacent — link pair shares a joint or mate; never collides during motion.
- Never — link pair never overlaps across pose-envelope samples (default 4 samples per limited mate; full sampling pass lands in a follow-up slice — today the deriver returns Adjacent + User only).
- Default — link pair interferes at the default pose (broken model; disable to avoid spurious plan blocks).
- User — explicit
arm.disableCollision(linkA, linkB, { reason: 'User' })override.
Sampling configuration:
// MCP: pass options on export.
export({ target: 'model', format: 'srdf', file: 'arm.kcad.ts', output_path: 'out/robot.srdf',
options: { samplesPerMate: 4, combinatorial: true } });
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 · 55 lines · 50 tokens per session scan A 8b33d6617083
kernelcad-srdf is a skill published in the GitHub repository w1ne/kernelCAD-web (19 stars, last pushed 11d ago), licensed MIT. It adds 50 tokens to every session and 744 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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