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 ssheleg/sheleg-design-skill --skill sheleg-designgit clone --depth 1 https://github.com/ssheleg/sheleg-design-skillWrote 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/ssheleg/sheleg-design-skill/sheleg-design)<a href="https://agentmods.dev/skills/ssheleg/sheleg-design-skill/sheleg-design"><img src="https://agentmods.dev/badge/skills/ssheleg/sheleg-design-skill/sheleg-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/ssheleg/sheleg-design-skill/sheleg-design"><img src="https://agentmods.dev/badge/skills/ssheleg/sheleg-design-skill/sheleg-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 | $0.00080 | $0.04833 |
| Opus 5.5 | $0.00032 | $0.01933 |
| Sonnet 5.5 | $0.00016 | $0.00967 |
| Haiku 4.5 | $0.00008 | $0.00483 |
Grade A, and why
sheleg-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 2d 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 — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SHELEG Design
Overview
A page feels cinematic not from many animations, but from a single source of truth (measured scroll position) driving many cheap, layered, independently-degradable responses. Centralize scroll into one store; layers read it per frame and react in their own language. Nothing crossfades — things redeploy. Every layer degrades to a calm static state.
READ FIRST, BEFORE ANY OF THE CRAFT BELOW:
CREATIVE_DIRECTOR.md — the decision layer: what the
surface is for and what would prove it failed; the lane and the mode (a
redesign starts by measuring what it replaces, an update changes a token); which
tools to cast, measured with npx sshlg-skills pack design --lane <lane>; when to
fork into two variations with disjoint casts, the rubric written first;
alignment and measurable quality as two separate questions; and the director
record all of it lands in. The failure mode of an agent doing design is not
ugliness, it is plausibility, and that document is what refuses it.
REQUIRED REFERENCE — for the cinematic path: read
SHELEG_DESIGN.md before implementing a scroll-driven page —
architecture, morph math, the DOM↔WebGL bridge, the build recipe (§11), the file map.
Product-UI work does not owe this read; the one rule it would owe is repeated
here: where a pack's motion tokens differ from the SHELEG defaults, the pack wins.
REQUIRED BEFORE ANY ANIMATION: read
MOTION_DOCTRINE.md. SHELEG_DESIGN.md says how motion
is built; the doctrine says whether to build it — the frequency table that kills
animation on high-repetition paths, the easing tree and the ease-in ban, the
duration ceiling, the forbidden forms, and the reduced-motion contract.
REQUIRED BEFORE ANY ACCESSIBILITY CLAIM: read
ACCESSIBILITY_EVIDENCE.md — which bar a claim
is held to (a WCAG criterion with number/version/level/units/exceptions, or a
platform heuristic), what a screenshot can and cannot prove about the DOM and
assistive technology, and the verdict contract: an absent tool is NOT_RUN,
never PASS, and no check installs a scanner to complete itself.
The connection is scoped, not routed: the craft gate's contrast row and
the render critique consume these verdicts at the claim they are making — an
existing capability, no new router, no new entry point. And a quality receipt
keeps two kinds of row apart: visual judgment (how the render reads) and
WCAG conformance (a computed, scoped check naming its criterion) — and a
render fixed on the critique is judged on the SAME before/after matrix inside a
bounded budget (CREATIVE_DIRECTOR.md), where an
unresolved observation stays unresolved rather than being renamed shipped. A glance
cannot produce a conformance row — a receipt where it did is refused, because
"looked accessible" is a screenshot claim wearing a criterion's name.
What ships with it
60 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.
- ACCESSIBILITY_EVIDENCE.md 3.5 KB
- ADA_RUBRIC.md 14 KB
- AI_PRODUCT_PATTERNS.md 10 KB
- APPLYING.md 2.0 KB
- CALIBRATION.md 2.3 KB
- COMPONENT_LAYER.md 3.1 KB
- CREATIVE_DIRECTOR.md 32 KB
- DESIGN_SYNC_BRIDGE.md 14 KB
- FIGMA_BRIDGE.md 21 KB
- KNOWLEDGE_PROVENANCE.md 26 KB
- LAYOUT_CRAFT.md 4.3 KB
- MOBILE_SURFACES.md 14 KB
- MOTION_DOCTRINE.md 27 KB
- MOTION_PRODUCTION.md 12 KB
- SHELEG_DESIGN.md 37 KB
- SLOP_MARKERS.md 23 KB
- STYLE_PACK_INDEX.md 6.6 KB
- styles/almanac.md 14 KB
- styles/atrium.md 30 KB
- styles/awning.md 18 KB
- styles/babylove.md 12 KB
- styles/blueprint.md 22 KB
- styles/briefing-room.md 10 KB
- styles/bulletin.md 20 KB
- styles/chorus.md 31 KB
- styles/cyclorama.md 26 KB
- styles/datasheet.md 32 KB
- styles/daylight.md 13 KB
- styles/deskmate.md 36 KB
- styles/editorial-luxury.md 9.7 KB
- styles/field-notes.md 32 KB
- styles/instrument-console.md 13 KB
- styles/ledger.md 23 KB
- styles/manpage.md 26 KB
- styles/maquette.md 19 KB
- styles/nameplate.md 26 KB
- styles/notation.md 12 KB
- styles/onionskin.md 18 KB
- styles/ora.md 32 KB
- styles/orchard.md 19 KB
- styles/outrank.md 14 KB
- styles/paperclip.md 48 KB
- styles/patchbay.md 25 KB
- styles/pigeonhole.md 36 KB
- styles/prism.md 18 KB
- styles/proscenium.md 18 KB
- styles/rimlight.md 19 KB
- styles/roster.md 28 KB
- styles/router.md 20 KB
- styles/scoreboard.md 29 KB
- styles/showroom.md 25 KB
- styles/STYLE_PACK_TEMPLATE.md 20 KB
- styles/surveyor.md 25 KB
- styles/tenor.md 42 KB
- styles/test-drive.md 29 KB
- styles/tokens/almanac.css 5.0 KB
- styles/tokens/atrium.css 10 KB
- styles/tokens/awning.css 11 KB
- styles/tokens/babylove.css 6.3 KB
- styles/tokens/blueprint.css 6.1 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.
- 2d ago Changed · -42 tokens per session dcb1fd5d8dc0
- 4d ago Changed e1acc4d721e5
- 5d ago Changed 3e3c5afea571
- 6d ago Changed · -16 lines · -188 tokens per session f65f30308d43
- 11d ago Changed c0e2d4c10e16
- 14d ago Changed 4614d091879d
- 17d ago Changed 4fcb5b56f624
- 19d ago Changed · -1 lines · +18 tokens per session 6318569382ab
- 25d ago Changed 5cb5eafd7e0d
- 29d ago First seen · 357 lines · 292 tokens per session scan A 03e8eee8092c
sheleg-design is a skill published in the GitHub repository ssheleg/sheleg-design-skill (4 stars, last pushed 2d ago), licensed MIT. It adds 80 tokens to every session and 4,833 once invoked, about $0.0003 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
accessibility-per-component
Audit one design system component's accessibility against WCAG 2.2 AA: keyboard, screen reader, contrast, focus, ARIA, target size. Trigger: a11y audit, is this accessible, WCAG check, screen reader support, keyboard navigation check. Not for page- or product-wide audits.
figma-variable-audit
Audit Figma variable collections: tier mapping, naming, alias chains, modes, orphans; can fix in place with Figma Console MCP. Triggers: audit my Figma variables, review variable collections, Figma variable health. For token files in code use token-audit.
theme-audit
Audit theme parity: tokens missing or unchanged per theme, component tokens bypassing semantics, contrast within each theme, resolver contexts, theme-switch regressions. Triggers: dark mode audit, theme coverage, brand variant parity. For general token structure use token-audit.
token-audit
Audit how design tokens are defined: tiers, naming, alias chains, raw values, orphans, DTCG readiness. Triggers: audit my tokens, token architecture review, token health check. Not for code consuming tokens (token-compliance), theme parity (theme-audit) or Figma variables (figma-variable-audit).
token-compliance
Find hardcoded colour, spacing and type values and wrong-tier token references in consuming code. Trigger: find hardcoded values, any hex in the code, are we using tokens correctly, token compliance. Do NOT use for token definitions — token-audit; token file format — schema-validator.
ai-component-description
Write a six-section prose description (purpose, props, anti-patterns, composition, accessibility, examples) for a Figma component's description field so LLMs read it via MCP. Triggers: describe this component for AI, Figma MCP description. JSON metadata files: use metadata-schema-generator.