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/super-ux --skill ux-foundationgit clone --depth 1 https://github.com/ssheleg/super-uxWrote 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/super-ux/ux-foundation)<a href="https://agentmods.dev/skills/ssheleg/super-ux/ux-foundation"><img src="https://agentmods.dev/badge/skills/ssheleg/super-ux/ux-foundation/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/super-ux/ux-foundation"><img src="https://agentmods.dev/badge/skills/ssheleg/super-ux/ux-foundation.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 | $0.00164 | $0.02194 |
| Opus 5 | $0.00082 | $0.01097 |
| Sonnet 5 | $0.00033 | $0.00439 |
| Haiku 4.5 | $0.00016 | $0.00219 |
Grade A, and why
ux-foundation 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ux-foundation — The WHY Layer
Part of super-ux — see system-map.md for the whole pipeline (foundation → flows → screens → scenarios → audits → plans) and the four sync rules. After changes, run the linter (
python3 docs/ux/lint.py).
Interfaces fail when built without knowing WHO uses them and WHY. This skill
maintains docs/ux/foundation.md: Personas → Jobs to Be Done → Customer
journeys → User stories. Scenarios (ux-scenarios skill) are built on top
and trace to these IDs — the full chain gives every scenario its context.
Format contract: scenario-format.md (ux-contract v4). Never deviate from ID schemes or field names.
The chain's opt-out is spoken: an operator saying "no scenarios" / «без сценариев» declines the scenario-first route — proceed without the chain and say so, never drop it silently.
Quality bars (non-negotiable)
- Personas are grounded in data or observation, recognizable by a real user — not invented archetypes with stock-photo traits.
- JTBD statements name a situation, motivation, and outcome — never a feature ("When I land a new client, I want to start a clean workspace, so I can bill them separately" — not "I want a projects dropdown"). Capture the four forces: push, pull, anxiety, habit.
- Journeys cover the end-to-end experience (before, during, after the product), one row per stage: action, touchpoint, emotion (1–5), pain, opportunity. Score opportunities Frequency × Severity × Solvability. When filling opportunities, consult best-practices.md by stage tags for proven mechanisms.
- Which model is being applied, and where it lies.
product-frameworks.md
(
PF-01..PF-12) carries the named models this layer draws on, each with the failure mode that makes it worth knowing: the forces that explain why people do not switch, the interview that produces them, the tree that makes two solutions comparable, and the activation definition every onboarding design depends on. Two are ordering constraints rather than inputs:PF-07before any onboarding work, andPF-02beforePF-01. - On a paid-acquisition product, the market read comes before the personas
are written, because the buyer arrives through somebody's ad and the
category has already paid to learn who answers it.
funnel-research.md is the method:
FR-01collects the live funnels,FR-02reads the four signals that survive when revenue is invisible,FR-05names which adjacent categories transfer. ItsFR-07lands each finding here rather than in a document of its own. It informs the personas; it never decides them — a foundation built from a corpus alone is aimed at a competitor's audience. - Stories pass INVEST; acceptance criteria are Given/When/Then and observable. A story that can't be verified is not done being written.
- Evidence beats opinion: repeated pain across users, observable workarounds, measurable cost. One stakeholder's idea is an assumption, not a fact — mark assumptions (desirability / viability / feasibility / usability) and flag the risky-untested ones.
- Reviews and support tickets are evidence already sitting there. Before scheduling interviews nobody has time for, read the store reviews and the support queue and sort them into praise, feature requests, bugs, and friction complaints. The friction complaints are journey pain in the user's own words — cite the source and the date on the journey row, the way any other evidence is cited. This is the cheapest input the WHY layer has and the one most often skipped because it does not feel like research.
What ships with it
13 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/best-practices-index.md 25 KB
- references/best-practices.md 170 KB
- references/component-guidelines.md 5.3 KB
- references/figma-integration.md 10 KB
- references/figma-structure.md 5.4 KB
- references/funnel-research.md 14 KB
- references/practice-selection.md 12 KB
- references/product-frameworks.md 14 KB
- references/scenario-format.md 43 KB
- references/system-map.md 8.3 KB
- references/ux-design-principles.md 13 KB
- references/visual-identity.md 7.5 KB
- templates/foundation.md 2.9 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 · +4 lines eb1b153f9e52
- 9d ago First seen · 161 lines · 164 tokens per session scan A 86cc6cdca093
ux-foundation is a skill published in the GitHub repository ssheleg/super-ux (3 stars, last pushed today), licensed MIT. It adds 164 tokens to every session and 2,194 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 2026-08-31.
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