Borrowing it
Nothing to install: this file belongs to whistlegraph/aesthetic-computer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/whistlegraph/aesthetic-computer/main/.claude/skills/illy/SKILL.mdgit clone --depth 1 https://github.com/whistlegraph/aesthetic-computerWrote 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/whistlegraph/aesthetic-computer/illy)<a href="https://agentmods.dev/skills/whistlegraph/aesthetic-computer/illy"><img src="https://agentmods.dev/badge/skills/whistlegraph/aesthetic-computer/illy/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/whistlegraph/aesthetic-computer/illy"><img src="https://agentmods.dev/badge/skills/whistlegraph/aesthetic-computer/illy.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 | $0.00059 | $0.00519 |
| Opus 5.5 | $0.00024 | $0.00208 |
| Sonnet 5.5 | $0.00012 | $0.00104 |
| Haiku 4.5 | $0.00006 | $0.00052 |
Grade A, and why
illy 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Illy
Use the shared illy MCP as the source of truth. The implementation, provider registry, pipelines, and full workflow live under plugins/illy/.
Workflow
- Inspect the target production before generating.
- Marketing: preserve
brand-brief.md,cover-prompt.txt,refs/, andgens/. - Pop: keep illy/still prompts separate from motion prompts; the illy is the source frame for
pop/lib/motion-pipeline.mjs.
- Marketing: preserve
- Call
illy_backends,illy_pipelines, andilly_contractsbefore choosing a paid route. - Call
illy_planbefore a batch or unfamiliar model. Report provider, model, references, output path, and stages. - Call
illy_generateonly after the requested route is clear. Existing output is cached unlessforce: true; rerolls archive the old take. - Inspect the output and iterate with one targeted prompt change.
Every pipeline enforces the shared physical-accuracy prompt contract.
pop-panel also enforces extreme-physical-beats: a dynamic illy must be one
mechanically valid temporal state with visible supports, contacts, grips,
mounts, weight distribution, force direction, and physically possible camera
geometry. When the built-in image tool is used, append the resolved contracts
to its prompt and record their identifiers with illy_record.
Action, transformation, POV, and moving-platform motion shots use
physical: "extreme", ordered normalized beats, and explicit contacts in
their SHOTS entry. The shared motion pipeline rejects an incomplete extreme
contract before paid generation.
Prefer an explicitly requested provider/model. Otherwise use the configured pipeline order. Never silently switch providers after a paid request fails. OpenAI is the established multi-reference route; fal.ai exposes model-shopping and specialized endpoints. Credentials resolve from the environment or the existing vault file and must never be printed.
For new adapters or custom stages, read plugins/illy/skills/illy/references/pipeline-contract.md. Keep shared presets in plugins/illy/config/; pass pipelineFile for a production-local pipeline.
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 · 36 lines · 59 tokens per session scan A 648724f49df7
illy is a skill published in the GitHub repository whistlegraph/aesthetic-computer (91 stars, last pushed yesterday), licensed ISC. It adds 59 tokens to every session and 519 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 2026-08-30.
illy compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| illywhistlegraph/aesthetic-computer | Skill | 91 | yesterday | ISC | A | 59 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | 2d ago | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |