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 tdimino/claude-code-minoan --skill particle-swarm-simgit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/particle-swarm-sim)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/particle-swarm-sim"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/particle-swarm-sim/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/tdimino/claude-code-minoan/particle-swarm-sim"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/particle-swarm-sim.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 | $0.00000 | $0.03356 |
| Opus 5 | $0.00000 | $0.01678 |
| Sonnet 5 | $0.00000 | $0.00671 |
| Haiku 4.5 | $0.00000 | $0.00336 |
Grade A, and why
particle-swarm-sim 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 12d 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 — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Particle Swarm Simulator
Generate massive particle swarm simulations with a clean separation of concerns: a host runtime handles Three.js rendering, camera, input, gesture recognition, and security — the AI writes only a behavior function body that positions and colors 20,000+ particles per frame.
Not a narrative canvas. Not a phase engine. A sandbox where math becomes motion.
Quick Start
# Generate a sandbox runtime with gesture controls
/particle-swarm-sim --mode sandbox dark theme, 30K particles, gesture OS enabled
# Generate a sim function body
/particle-swarm-sim --mode sim aurora borealis — curtains of light flowing along magnetic field lines
# Generate from preset
python3 scripts/swarm_generator.py --mode sim --preset galaxy-spiral --output galaxy.js
The Separation of Concerns
HOST RUNTIME BEHAVIOR FUNCTION BODY
(sandbox-runtime.html) (generated by AI)
Three.js scene target.set(x, y, z)
BufferGeometry (20K particles) --> color.setHSL(h, s, l)
Camera + input + gesture OS addControl("speed", ...)
Security validator setInfo("title", ...)
Code injection pipeline annotate("label", ...)
Dynamic controls UI
HUD + annotations
The host calls the function body 20,000 times per frame — once per particle. The function body mutates the provided target and color objects. Nothing else crosses the boundary.
API Contract
Read-Only Variables
| Variable | Type | Description |
|---|---|---|
i |
Integer | Particle index (0 to count-1) |
count |
Integer | Total particle count |
time |
Float | Global simulation time in seconds |
THREE |
Object | Safe Three.js subset: Vector3, Color, MathUtils |
Write-Only Variables
| Variable | Type | Mutation |
|---|---|---|
target |
THREE.Vector3 | target.set(x, y, z) — particle position |
color |
THREE.Color | color.setHSL(h, s, l) or color.set(hex) — particle color |
What ships with it
15 files 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.
- assets/sims/dna-helix.js 1.7 KB runs code
- assets/sims/flocking-murmuration.js 1.7 KB runs code
- assets/sims/galaxy-spiral.js 1.1 KB runs code
- assets/templates/sandbox-minimal.html 10 KB
- assets/templates/sandbox-runtime.html 27 KB
- README.md 5.7 KB
- references/api-contract.md 4.9 KB
- references/gesture-os.md 3.6 KB
- references/performance-patterns.md 4.2 KB
- references/sandbox-architecture.md 4.8 KB
- references/security-sandbox.md 4.7 KB
- references/sim-gallery.md 7.8 KB
- scripts/swarm_generator.py 4.6 KB runs code
- scripts/validate_sandbox.py 4.5 KB runs code
- scripts/validate_sim.py 5.8 KB runs code
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.
- 12d ago First seen · 295 lines · 0 tokens per session scan A d45de3dd3d12
particle-swarm-sim is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,356 tokens. 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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