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 lemma-work/lemma-platform --skill lemma-app-designgit clone --depth 1 https://github.com/lemma-work/lemma-platformWrote 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/lemma-work/lemma-platform/lemma-app-design)<a href="https://agentmods.dev/skills/lemma-work/lemma-platform/lemma-app-design"><img src="https://agentmods.dev/badge/skills/lemma-work/lemma-platform/lemma-app-design/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/lemma-work/lemma-platform/lemma-app-design"><img src="https://agentmods.dev/badge/skills/lemma-work/lemma-platform/lemma-app-design.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 | $0.00122 | $0.02545 |
| Opus 5.5 | $0.00049 | $0.01018 |
| Sonnet 5.5 | $0.00024 | $0.00509 |
| Haiku 4.5 | $0.00012 | $0.00254 |
Grade A, and why
lemma-app-design 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 19d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
11 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.
- agents/openai.yaml 252 B
- assets/cover/cover-letter.html 3.6 KB
- assets/cover/cover-phone.html 3.3 KB
- assets/cover/cover-window.html 3.5 KB
- assets/cover/examples/letter.png 17 KB
- assets/cover/examples/phone.png 63 KB
- assets/cover/examples/window.png 58 KB
- references/cover.md 7.0 KB
- references/design-spec.md 8.9 KB
- references/visual-review.md 5.7 KB
- scripts/cover_serve.py 9.7 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.
- 19d ago Changed · +10 lines a8bc855a77d3
- 1mo ago Changed · +2 lines 502379d5e76f
- 1mo ago Changed · +8 lines 4ea4f874a29e
- 1mo ago First seen · 208 lines · 122 tokens per session scan A 90b7007b0bc1
lemma-app-design is a skill published in the GitHub repository lemma-work/lemma-platform (636 stars, last pushed today), licensed AGPL-3.0. It adds 122 tokens to every session and 2,545 once invoked, about $0.0005 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.
Other skills, from other repositories
render-html-page
Convert a finished trip plan into a polished, self-contained HTML page using the design system.
oma-design
Define or review a visual system, DESIGN.md, or redesign direction. Use for typography, layout, color, motion, and interaction design decisions.
vercel-composition-patterns
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.
principle-redesign-from-first-principles
Apply when integrating a new requirement into an existing design.
compare-harnesses
Diff two scaffolded harnesses (ADR-031). Reports manifest meta drift + host list + per-file fingerprint changes (added/removed/changed). Exits 0 IDENTICAL, 1 DRIFT, 2 missing manifest. Use --bundle for the ADR-031 schema-1 JSON envelope.
example-harness
Scaffold a ready-made AI agent harness in one command from the 19 published @metaharness/ example packages — 9 host integrations (Claude Code, Codex, Hermes, pi.dev, OpenClaw, RVM, Copilot, OpenCode, GitHub Actions) + 10 vertical pods (devops, research, trading, support, legal, coding, education, sales, gaming…