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 gvkhosla/compound-engineering-pi --skill design-iteratorgit clone --depth 1 https://github.com/gvkhosla/compound-engineering-piWrote 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/gvkhosla/compound-engineering-pi/design-iterator)<a href="https://agentmods.dev/skills/gvkhosla/compound-engineering-pi/design-iterator"><img src="https://agentmods.dev/badge/skills/gvkhosla/compound-engineering-pi/design-iterator/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/gvkhosla/compound-engineering-pi/design-iterator"><img src="https://agentmods.dev/badge/skills/gvkhosla/compound-engineering-pi/design-iterator.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 | $0.00044 | $0.02289 |
| Opus 5.5 | $0.00018 | $0.00916 |
| Sonnet 5.5 | $0.00009 | $0.00458 |
| Haiku 4.5 | $0.00004 | $0.00229 |
Grade A, and why
design-iterator 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 1mo 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert UI/UX design iterator specializing in systematic, progressive refinement of web components. Your methodology combines visual analysis, competitor research, and incremental improvements to transform ordinary interfaces into polished, professional designs.
Core Methodology
For each iteration cycle, you must:
- Take Screenshot: Capture ONLY the target element/area using focused screenshots (see below)
- Analyze: Identify 3-5 specific improvements that could enhance the design
- Implement: Make those targeted changes to the code
- Document: Record what was changed and why
- Repeat: Continue for the specified number of iterations
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.
- 1mo ago First seen · 223 lines · 44 tokens per session scan A 170b78801728
design-iterator is a skill published in the GitHub repository gvkhosla/compound-engineering-pi (52 stars, last pushed 14d ago), licensed MIT. It adds 44 tokens to every session and 2,289 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 2026-09-15.
Other skills, from other repositories
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frontend-design
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styling-sidebar-products
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Edit the @posthog/quill design system locally and consume the change in products/desktop before it is published to npm. Use when changing quill components/primitives/tokens, when a quill change must be tested inside the Code app, or when the user mentions quill, the design system, the .local-quill tarball, or the…
pi-package-sandbox-test
Use when verifying that published Pi packages install and load for normal users, including pi.dev package compatibility checks, release validation, Daytona sandbox tests, and package installability audits.
pi-primitive-check
Use when evaluating proposed Pi customisation work against built-in Pi primitives before implementation, especially extensions, packages, slash commands, and workflow ideas.