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 mintdotgg/mint-threejs-skills --skill threejs-interaction-systemsgit clone --depth 1 https://github.com/mintdotgg/mint-threejs-skillsWrote 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/mintdotgg/mint-threejs-skills/threejs-interaction-systems)<a href="https://agentmods.dev/skills/mintdotgg/mint-threejs-skills/threejs-interaction-systems"><img src="https://agentmods.dev/badge/skills/mintdotgg/mint-threejs-skills/threejs-interaction-systems.svg" alt="Measured on agentmods" 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 | $0.00313 |
| Opus 5 | $0.00019 | $0.00156 |
| Sonnet 5 | $0.00008 | $0.00063 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
threejs-interaction-systems 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 8d 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.
What it actually says
Three.js Interaction Systems
Make 3D interaction predictable, state-driven, responsive, and accessible.
Read references/interaction-patterns.md before changing camera controls,
selection, manipulation, configuration, annotations, or general app UI.
For model axes, authoritative transforms, constrained manipulation, or surface
queries, also read ../../references/spatial-contracts.md.
Workflow
- Define the primary user task and supported input methods.
- Choose one camera/control owner and explicit transition rules.
- Keep application state outside transient Three.js object state.
- Implement raycast or GPU picking only at interaction boundaries, with clear hover, focus, selected, disabled, and error feedback.
- Add manipulation, configuration, annotations, playback, or navigation as task-specific modules.
- Keep semantic HTML controls available for important actions and status.
- Verify pointer, keyboard, touch, resize, cancellation, and loading/error paths on relevant viewports.
Use ../../references/mint-mcp-assets.md for generated production assets.
Ordinary interface chrome should remain HTML/CSS/SVG/Canvas unless a true 3D
surface is required.
Final Response
Report the interaction model, controls, state ownership, supported input paths, responsive/accessibility evidence, screenshots, and remaining risks.
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.
- 8d ago First seen · 36 lines · 38 tokens per session scan A ef5fc386f9d2
threejs-interaction-systems is a skill published in the GitHub repository mintdotgg/mint-threejs-skills (111 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 313 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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