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 agentlas-ai/agentlas-desktop --skill seed-designgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/seed-design)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/seed-design"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/seed-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/agentlas-ai/agentlas-desktop/seed-design"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/seed-design.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 | $0.00035 | $0.00332 |
| Opus 5.5 | $0.00014 | $0.00133 |
| Sonnet 5.5 | $0.00007 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
seed-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 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.
What it actually says
Skill Purpose
Serves as the single source of truth for the SEED Design system, routing to official documentation for component specifications, platform setup, migrations, and health diagnostics (Doctor).
Preconditions
- A SEED Design-related question, component implementation request, foundation inquiry, or codebase diagnostic is requested.
- References
$doctor,$doctor-react,$doctor-lynx,$migration, and$upgrade.
Steps
- Classify Request:
- Common component specifications and Foundations (platform-agnostic).
- Platform implementation for React or Lynx.
- Doctor diagnostics and codebase migration.
- Determine Platform: Check user input →
seed-design.jsonconfiguration → direct package dependencies (@seed-design/*). - Route to Official Docs:
- Query
https://seed-design.io/llms.txtand platform indices to read authoritative leaf documentation.
- Query
- Execute Doctor (if requested):
- Perform read-only inspection according to
$doctorto diagnose package compatibility, snippet hygiene, and token contracts. - Output structured findings with remediation prompts.
- Perform read-only inspection according to
Outputs
- Authoritative design system specifications and implementation guidance.
- Diagnostic YAML/HTML reports in temporary directories when running Doctor.
Verification
- Ensure all technical guidance aligns with the official live documentation index.
- Verify that diagnostic operations operate in read-only mode without mutating the target repository unexpectedly.
What ships with it
10 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.
- references/component-guidelines.md 5.1 KB
- references/foundation-contract.md 1.8 KB
- references/library-authors.md 2.1 KB
- references/no-deprecated-component.md 2.4 KB
- references/outdated-version.md 1.7 KB
- references/package-compatibility.md 1.8 KB
- references/project-config.md 2.5 KB
- references/project-setup.md 1.7 KB
- references/snippet-compatibility.md 1.7 KB
- references/snippet-generation.md 1.8 KB
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 · 32 lines · 35 tokens per session scan A 20a4962b2a46
seed-design is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (7 stars, last pushed yesterday), licensed Apache-2.0. It adds 35 tokens to every session and 332 once invoked, about $0.0001 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.
Other skills, from other repositories
architecture-diagram
How to draw and maintain the architecture diagram Ensemblr keeps for a workspace — ensemblrgetarchitecturediagram to fetch the stored one (it answers with null when nobody has drawn this workspace yet), the IR shape, how to derive it from the codebase, and ensemblrupdatearchitecturediagram to store it. Read this when…
winui-design
Read before writing or changing WinUI 3 XAML: choosing controls, pages and navigation, layout, Fluent Design, theming, accessibility, x:Bind, real samples, and checking that APIs exist with winapp find-api. Not for WPF or WinForms UI, even if the app uses the Windows App SDK.
openscreen-design
Use this skill to generate well-branded interfaces and assets for OpenScreen (an AI-native screen-recording studio & video editor), either for production or throwaway prototypes/mocks/etc. Contains essential design guidelines, colors, type, fonts, assets, and UI kit components for prototyping.
figma-generate-design
Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the…
vellum-avatar
Customize the assistant's avatar - build a native character, upload an image, or generate one with AI.
edit-figma-design
Create or update Figma designs directly from a written product or UI description using the Figma MCP authoring tools. Use when the user wants a mockup, wireframe, screen, component, flow, or concept designed in Figma from text, or wants to iterate on an existing Figma file from textual feedback. Despite the name, this…