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 agentmods add skills/genkovich/sdd/designnpx skills add genkovich/sdd --skill designgit clone --depth 1 https://github.com/genkovich/sddWrote 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/genkovich/sdd/design)<a href="https://agentmods.dev/skills/genkovich/sdd/design"><img src="https://agentmods.dev/badge/skills/genkovich/sdd/design.svg" alt="Measured on agentmods" 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 | $0.00221 | $0.04811 |
| Opus 5 | $0.00111 | $0.02405 |
| Sonnet 5 | $0.00044 | $0.00962 |
| Haiku 4.5 | $0.00022 | $0.00481 |
Grade A, and why
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 4d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: design
Generator of the Software Architecture Document (docs/features/<slug>/sad.md — Arc42 12 sections, C4 Context inline in §3 and C4 Container inline in §5) plus supporting ADRs (docs/features/<slug>/adr/NNNN-*.md). It drafts all 12 sections in memory, walks them Socratically one section at a time, spawns an ADR only when a decision's blast radius (масштаб удару — how painful it is to reverse the decision later) crosses the gate, writes each resolved section and its ADRs as one atomic commit (on route quick + depth easy, sections still hit the disk immediately but commits batch — step 6), and runs a clean-context critic over the finished SAD. The document itself is the state — resuming after an interrupt is free. L3 Component / L4 Code are out of scope. This file is the spine; detail lives in references/.
The Socratic machine, the critic, and the size matrix are shared — this skill keeps only its deltas:
→ ../_shared/socratic-loop.md · ../_shared/critic.md · ../_shared/size-matrix.md · ../_shared/ask-style.md
sad.md + ADR prose follow artifact_language — the Arc42 section headings, frontmatter, C4/Mermaid keywords and ADR Status values stay English → ../_shared/artifact-language.md.
Depth governs the per-section question volume + autonomy → ../_shared/interview-depth.md. C4 diagrams are confirmed in prose, never as raw source → ../_shared/diagram-presentation.md. design is also where the feature's target surface(s) are chosen — the first §4 decision, written to sad.md frontmatter target_surfaces and read (never re-derived) by every downstream stage → ../_shared/surfaces.md.
Owner
Architect / Tech Lead (drives everything). PM is consulted only on §10 Quality goals and §11 Risk severities.
What ships with it
9 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.
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.
- 4d ago First seen · 90 lines · 221 tokens per session scan A e1d5e72093d2
design is a skill published in the GitHub repository genkovich/sdd (118 stars, last pushed 15d ago), licensed MIT. It adds 221 tokens to every session and 4,811 once invoked, about $0.0011 per session on Opus 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
hallmark
Anti-AI-slop design skill for greenfield pages, audits, redesigns, and design extraction from URLs or screenshots. Use when the user asks to build a new app or landing page, wants to redesign something, invokes Hallmark by name, or uses audit/redesign/study.
read
Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
desktop-principles
Desktop-specific UX principles - hover states, pointer precision, keyboard shortcuts, multi-window, focus management. Covers macOS, Windows, Linux, web desktop.
taiyi-ui-design
TaiyiForge 第 4 阶段 — UI/UX 契约,产出 UI-DESIGN.md。四端通用。.
accessibility-analysis
服務可達性分析工具箱(accessibility / service coverage)。當用戶說「30km 路網可達」「最近 X 站」「服務範圍」「沙漠」「孤島」「等時圈」「isochrone」「可達性分析」「路網覆蓋」或要新增任何「離 POI 多遠」類型的分析時觸發。整合 mini-taiwan-pulse + taipei-gis-analytics 兩端 SOP,覆蓋三種視覺模式(路網染色 / Polygon 沿路網 / Hex 格點)、三套既有 reference pipeline 對照、模式選擇決策樹、常見坑(Overpass mirror 不穩 / pyrosm 爆 RAM / multi-bucket /…