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-flowsgit 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-flows)<a href="https://agentmods.dev/skills/ssheleg/super-ux/ux-flows"><img src="https://agentmods.dev/badge/skills/ssheleg/super-ux/ux-flows.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 5.1 | $0.00268 | $0.04568 |
| Opus 5 | $0.00134 | $0.02284 |
| Sonnet 5 | $0.00054 | $0.00914 |
| Haiku 4.5 | $0.00027 | $0.00457 |
Grade A, and why
ux-flows 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 today.
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 — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ux-flows — Design HOW Users Move
Part of super-ux — see system-map.md for the whole pipeline and the four sync rules. After changes, run the linter (
python3 docs/ux/lint.py).
Turns user stories into user flows AND maintains the UI map: task analysis →
flow diagram (mermaid) → the screen registry screens.md (every screen and
state with Figma frame, wireframe, coverage, resources) → optional
wireframes/Figma mockups. Also the home of UX improvement: heuristic
evaluation of existing flows and traced redesign proposals.
Two files owned: flows.md (flows referencing screens by SCR-ID) and
screens.md (the canonical per-screen spec — the design map that ties UX,
UI, Figma, and code together). A screen used by several flows is described
once in screens.md.
Contracts: scenario-format.md
(ux-contract v4, flows.md section) and
ux-design-principles.md — read the
principles doc before designing; it is the thinking playbook (task-analysis
method, flow rules, PRN-01..24 heuristics, improvement procedure).
Proven tactics: best-practices.md by
stage tags. The catalog holds tactics; two files hold the order they go
in. onboarding.md (ON-01..ON-18) assembles
the path to the first value, and it rests on that value being defined
first. internal-screens.md
(IS-01..IS-18) covers everything after it: the screens someone uses
because they already decided, where the four states are one design and a
list is a working surface rather than a directory. Visual identity (which style pack the frames and the built UI
obey, via the sheleg-design companion):
visual-identity.md.
Real flows off the shelf, before you invent one: if the session exposes a
reference server — Refero (mcp__refero__*), Mobbin (mcp__mobbin__*)
or Lazyweb (mcp__lazyweb__*) — sweep it during step 2. Two of them return
connected multi-step flows and they answer in different media: Refero gives
each step as structure — a goal, an action, a system response — which is the
shape this skill draws; Mobbin gives each step as a preview image, which is
how you judge whether it actually reads. Read Refero to draw the diagram, look at
Mobbin to check it. Gate on the tools present in the session, not on the
config — a registered server nobody signed in to exposes nothing. None present
→ offer the one-time install once and continue either way; the flow is designed
from the stories regardless.
A paid-acquisition funnel has a second shelf, and it is public: the
competitor funnels running right now behind the ads in your category.
funnel-research.md is the method for reading
them — FR-01 where they are visible, FR-02 the four signals that survive when
revenue is not, FR-03 the fields that make a corpus comparable, FR-06 the
stop before copying. Its last section names the step chain the corpus keeps
producing (ad → landing → quiz → loading → offer → paywall → checkout →
success) and the practice that specifies each step, which is the diagram this
skill draws. Every step there is a screen in screens.md and a scenario in
scenarios.md, the loading screen and the missing-answer branch included —
those two are the ones that get built and never recorded.
Position in the chain: foundation (WHY) → flows (HOW) + screens (UI
map) → scenarios (WHAT). Stories in, flows and screens out; ux-scenarios
then covers every node and edge with scenarios. If foundation is missing on
a non-trivial product, recommend ux-foundation first. The chain's opt-out
is spoken: "no scenarios" / «без сценариев» from the operator
declines it — design without the chain and say so.
Money moments are first-class flows: when the foundation declares a Monetization section, design dedicated flows for each money moment — paywall (first-session placement, BP-069), upgrade-at-limit (the gated action's limit branch is a flow edge to the offer, BP-074), trial start/end, cancel + winback (BP-123), rating prompt after success moments (BP-076). When the foundation's purchase surface is web checkout or web2app, the web funnel (landing → pricing → signup → checkout, BP-116..121), recurring billing (dunning, BP-122) and the paid handoff (install → identify → entitlement restore, with every failure branch, BP-124..126) are flows of this product as well. Each money flow uses its checklist row from practice-selection.md step 3.
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/internal-screens.md 11 KB
- references/onboarding.md 11 KB
- references/practice-selection.md 12 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
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.
- today Changed · +2 lines 08fee3fa5809
- 7d ago First seen · 299 lines · 268 tokens per session scan A 9b45d30607f2
ux-flows is a skill published in the GitHub repository ssheleg/super-ux (3 stars, last pushed yesterday), licensed MIT. It adds 268 tokens to every session and 4,568 once invoked, about $0.0013 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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