Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/arozumenko/sdlc-skillsnpx agentmods add skills/arozumenko/sdlc-skills/screen-specsWrote 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/arozumenko/sdlc-skills/screen-specs)<a href="https://agentmods.dev/skills/arozumenko/sdlc-skills/screen-specs"><img src="https://agentmods.dev/badge/skills/arozumenko/sdlc-skills/screen-specs/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/arozumenko/sdlc-skills/screen-specs"><img src="https://agentmods.dev/badge/skills/arozumenko/sdlc-skills/screen-specs.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 | $0.00160 | $0.02320 |
| Opus 5 | $0.00080 | $0.01160 |
| Sonnet 5 | $0.00032 | $0.00464 |
| Haiku 4.5 | $0.00016 | $0.00232 |
Grade A, and why
screen-specs 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 10d 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Screen specs
Turn a flow's nodes into screens that can actually be built. Each screen is documented twice from one source — a mock showing what it should look like, and the spec a developer implements from — so the picture and the contract cannot disagree.
The two rules
- Every screen traces to a flow node and an acceptance criterion. No orphan
screens. If a criterion cannot become a screen or a state, that is a finding
about the criterion — record it in
notes, don't invent a screen for it. - Real content only. A mock reading "Hotel Name / $XXX" teaches nobody anything. Use values that exist in the project's seed data.
Workflow
-
Settle the design system first, once, in
design-system.json: colour roles (light and dark), the M3 type scale mapped to real platform text styles, shape, elevation, spacing, a component inventory covering every region type, and the standing platform calls — the conflicts decided app-wide so no screen re-litigates them. Choose thetarget(mobileorweb), thestylefor web (material/neo-flat/minimal-neutral/fluent), and thedevicefor mobile (iphone/iphone-max/android/iphone-se) here too. -
Author one flow's specs as the pattern, then fan the rest out against it. Getting the system right on the hardest flow is what makes parallel work safe.
-
Build.
node scripts/build-screens.mjs \ --system <design-system.json> --specs <dir> --out <dir> [--img ../assets/img/]Every flow page carries a journey filmstrip above its screens — the flow's screens ordered by their
nodeid (whole numbers ascending, then decimals under their parent; node-less screens sort last), each a small clickable card that jumps to its full section below. It renders in both layouts.Add
--layout storyto build into a shared design-story site instead of a standalone set: pages land in<out>/screens/<slug>.html(one directory deeper — a relative--imgbase gets an extra../automatically) so they sit next to user-flow-maps'flows/output. Understory, each screen's Flow node value links back to../flows/<flowSlug>.html#node-<id>, and its Criteria chips link to../coverage.html#ac-<id>— both resolve once the sibling builds (build-flowmaps.mjs --layout storyandbuild-story.mjs) have run; until then they just 404, no build depends on the other running first. -
Verify. See
references/verifying.md. Check that no mock overflows its frame, no image is broken, and the page never scrolls sideways. -
Tie flows and screens into one site. Once both builds have written into the same
<out>with--layout story, runnode scripts/build-story.mjs --flows <flowspec dir|file> --screens <dir> --out <dir>to generate
<out>/index.html(the design-story hub) and<out>/coverage.html(the acceptance-criteria coverage matrix). See "Design-story site" below for the full recipe.
What ships with it
33 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/coverage-both-ways.md 2.8 KB
- references/schema.md 12 KB
- references/targets/mobile.md 4.1 KB
- references/targets/web.md 8.1 KB
- references/verifying.md 11 KB
- scripts/__fixtures__/mobile.ds.json 875 B
- scripts/__fixtures__/mobile.golden.txt 2.7 KB
- scripts/__fixtures__/mobile.screens.json 769 B
- scripts/__fixtures__/story/story.screens.json 451 B
- scripts/__fixtures__/web/web-fluent.ds.json 2.0 KB
- scripts/__fixtures__/web/web-material.ds.json 1.7 KB
- scripts/__fixtures__/web/web-minimal-neutral.ds.json 2.0 KB
- scripts/__fixtures__/web/web-neo-flat.ds.json 2.0 KB
- scripts/__fixtures__/web/web.screens.json 1.6 KB
- scripts/build-screens.mjs 34 KB runs code
- scripts/build-story.mjs 23 KB runs code
- scripts/build-story.test.mjs 6.8 KB runs code
- scripts/build.test.mjs 4.1 KB runs code
- scripts/call.test.mjs 498 B runs code
- scripts/devices.test.mjs 580 B runs code
- scripts/dom-shim.mjs 3.8 KB runs code
- scripts/journey.mjs 1.7 KB runs code
- scripts/journey.test.mjs 2.4 KB runs code
- scripts/package.json 23 B
- scripts/screenspec.golden.test.mjs 1.3 KB runs code
- scripts/screenspec.js 61 KB runs code
- scripts/screenspec.web.js 10 KB runs code
- scripts/story.test.mjs 3.0 KB runs code
- scripts/styles.js 2.0 KB runs code
- scripts/styles.test.mjs 913 B runs code
- scripts/tokens.test.mjs 1.2 KB runs code
- scripts/web-frame.test.mjs 2.0 KB runs code
- scripts/web-regions.test.mjs 1.1 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.
- 10d ago First seen · 174 lines · 160 tokens per session scan A f3390991e4b6
screen-specs is a skill published in the GitHub repository arozumenko/sdlc-skills (20 stars, last pushed 5d ago), licensed MIT. It adds 160 tokens to every session and 2,320 once invoked, about $0.0008 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
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ralph with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
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.
make-resume
A Chinese-language tool for creating editable HTML resumes that can be changed in a browser and printed to PDF. It uses available resume templates when they are installed and otherwise provides a simpler fallback.