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 finasteos/gamedev-mcp-hub --skill algorithmic-artgit clone --depth 1 https://github.com/finasteos/gamedev-mcp-hubWrote 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/finasteos/gamedev-mcp-hub/algorithmic-art)<a href="https://agentmods.dev/skills/finasteos/gamedev-mcp-hub/algorithmic-art"><img src="https://agentmods.dev/badge/skills/finasteos/gamedev-mcp-hub/algorithmic-art/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/finasteos/gamedev-mcp-hub/algorithmic-art"><img src="https://agentmods.dev/badge/skills/finasteos/gamedev-mcp-hub/algorithmic-art.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00062 | $0.01880 |
| Opus 5.5 | $0.00025 | $0.00752 |
| Sonnet 5.5 | $0.00012 | $0.00376 |
| Haiku 4.5 | $0.00006 | $0.00188 |
Grade A, and why
algorithmic-art 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 2mo 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Algorithmic Art Skill - GameDev MCP Hub
Algorithmic philosophies are computational aesthetic movements expressed through code. Output .md files (philosophy), .html files (interactive viewer), and .js files (generative algorithms).
This skill works in two steps:
- Algorithmic Philosophy Creation (.md file)
- Express by creating p5.js generative art (.html + .js files)
ALGORITHMIC PHILOSOPHY CREATION
To begin, create an ALGORITHMIC PHILOSOPHY (not static images or templates) that will be interpreted through:
- Computational processes, emergent behavior, mathematical beauty
- Seeded randomness, noise fields, organic systems
- Particles, flows, fields, forces
- Parametric variation and controlled chaos
THE CRITICAL UNDERSTANDING
- What is received: User input as foundation (doesn't constrain creative freedom)
- What is created: An algorithmic philosophy/generative aesthetic movement
- What happens next: Express it in CODE - creating p5.js sketches that are 90% algorithmic generation, 10% essential parameters
HOW TO GENERATE AN ALGORITHMIC PHILOSOPHY
Name the movement (1-2 words): "Organic Turbulence" / "Quantum Harmonics" / "Emergent Stillness"
Articulate the philosophy (4-6 paragraphs - concise but complete):
Capture the ALGORITHMIC essence by expressing how this philosophy manifests through:
- Computational processes and mathematical relationships
- Noise functions and randomness patterns
- Particle behaviors and field dynamics
- Temporal evolution and system states
- Parametric variation and emergent complexity
CRITICAL GUIDELINES:
- Avoid redundancy: Each algorithmic aspect mentioned once
- Emphasize craftsmanship REPEATEDLY: The final algorithm should appear as though it took countless hours to develop, was refined with care, and comes from someone at the absolute top of their field
- Leave creative space: Be specific about algorithmic direction, but concise enough that implementation has room for interpretive choices at extremely high level of craftsmanship
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.
- 2mo ago First seen · 228 lines · 62 tokens per session scan A 9234ed16de5a
algorithmic-art is a skill published in the GitHub repository finasteos/gamedev-mcp-hub (0 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 1,880 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
algorithmic-art compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| algorithmic-artfinasteos/gamedev-mcp-hub | Skill | 0 | 3mo ago | MIT | A | 62 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |