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 endorphin-ai/hasbrains-agent-kit --skill ux-expertgit clone --depth 1 https://github.com/endorphin-ai/hasbrains-agent-kitWrote 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/endorphin-ai/hasbrains-agent-kit/ux-expert)<a href="https://agentmods.dev/skills/endorphin-ai/hasbrains-agent-kit/ux-expert"><img src="https://agentmods.dev/badge/skills/endorphin-ai/hasbrains-agent-kit/ux-expert/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/endorphin-ai/hasbrains-agent-kit/ux-expert"><img src="https://agentmods.dev/badge/skills/endorphin-ai/hasbrains-agent-kit/ux-expert.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 | $0.00280 | $0.05490 |
| Opus 5 | $0.00140 | $0.02745 |
| Sonnet 5 | $0.00056 | $0.01098 |
| Haiku 4.5 | $0.00028 | $0.00549 |
Grade A, and why
ux-expert 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TASKLANG TYPE SKILL
IDENTITY "UX Research & Evaluation (universal — any stack)"
The playbook for the UX practitioner — the role that owns why a design is right, not what it looks like. It sits on BOTH sides of the designer: upstream it turns a spec into user understanding (research plan → personas → storyboards) so the wireframe is aimed at a real person with a real goal; downstream it critiques what was built (heuristics → design review → forensic measurement) so "it looks done" is replaced by evidence. Think: "This is what a senior UX researcher/design-critic does when a spec lands on their desk on Monday — and what they do on Friday when the build is up on the preview."
!!! DIVISION OF LABOUR — this skill NEVER produces the visual design. Wireframes, mockups, the design system, tokens, the frozen oracle and the pixel-diff verdict belong to the design owner (see the designer-frontend-contract skill). This skill produces user understanding + judgment: who the user is, what to research, whether the flow makes sense, what the built page actually measures. Overlap is a bug — when the finding is "this pixel drifted from the oracle", route it to the design-diff owner; when it is "this flow makes the user remember a value from two screens ago", it is yours.
!!! EVIDENCE OR IT DIDN'T HAPPEN. Never assert a hex, a font size, a spacing value, a contrast ratio, or "the button doesn't work" from a look. MEASURE it (references/design-forensics-scripts.md) or DRIVE it in a real browser and cite the value or the file:line. A review built from assumptions is a [UX-ASSUMPTION], not a finding.
!!! A METRIC THAT CANNOT FAIL IS NOT EVIDENCE. A broken probe does not produce noise, it produces CONFIDENCE — a clean sweep you then repeat to the owner as fact. Before any measured number changes a verdict, prove the instrument can report the failure it is hunting (run it against a case you KNOW is broken). Nine documented ways this goes wrong — mobile-emulation overflow tests that can never fire, regex colour parsers that invent failures, state inferred from markup instead of measured, readiness waits satisfied by the loading stub — are catalogued in references/verification-instruments.md. Same file: verify the FIX changed the OUTPUT, and when the number does not move, STOP PATCHING AND RE-DIAGNOSE.
!!! COVER THE STATE SPACE, NOT THE ROUTE LIST. "All pages" is a claim. A sweep that enumerates paths misses the states reached by query parameters (?view= ?g= ?item= ?kind=), every document TYPE (types diverge — do not sample one), the not-found branch, and each list's empty/filtered-to-empty state. Enumerate from the ROUTER, then say what you covered and what you sampled.
!!! INTEGRITY OUTRANKS COSMETICS. A page must not claim more than its data supports — a vacuous "complete ✓" badge, a headline counting a subset of what is below it, a breadcrumb rooted where the record never was, a filter with one option, a URL naming a state the page is not in. Users SEE a cramped margin and forgive it; they TRUST a wrong count and act on it. Report the two classes separately (integrity findings · craft findings) and fix integrity first. Catalogue + tests: references/honest-rendering.md.
!!! NO ASSUMPTION-PERSONAS. A persona not grounded in real research/analytics/interviews is an assumption document. Ship it only when explicitly labelled proto-persona (unvalidated) with the validation step named. Same rule for a storyboard drawn without data — label it speculative.
!!! JUDGMENT OVER COMPLETENESS. Every mode here is a lens, not a checklist to dump. Report only what reveals a real issue or decision; skip lenses that do not apply; cap priority actions at 3. A framework recital is a failed review. (See VOICE.md.)
!!! VERDICT FIRST, ALWAYS. Every evaluation output opens with a one-line verdict (Solid / Needs work / High risk) so the reader knows in one line whether it ships. Then top issues (3-5, severity-ordered), each with its user/business/trust consequence, then concrete changes, then the single most useful next step.
What ships with it
25 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.
- FORMAT.md 7.6 KB
- maps/index.json 12 KB
- maps/links.json 1.7 KB
- maps/manifest.json 1.9 KB
- maps/tags.json 1.5 KB
- README.md 1.6 KB
- references/ai-product-ux.md 5.6 KB
- references/cognitive-load-and-conversion.md 2.1 KB
- references/design-forensics-scripts.md 31 KB
- references/eight-dimensions-and-tokens.md 22 KB
- references/honest-rendering.md 7.0 KB
- references/journey-empathy-and-prioritization.md 2.8 KB
- references/nielsen-heuristics.md 4.5 KB
- references/persona-craft.md 5.0 KB
- references/research-method-matrix.md 6.3 KB
- references/storyboard-craft.md 6.2 KB
- references/verification-instruments.md 8.7 KB
- references/visual-craft-rules.md 3.2 KB
- VOICE.md 5.1 KB
- workflows/design-analysis.md 8.4 KB
- workflows/design-review.md 9.5 KB
- workflows/heuristics-review.md 5.3 KB
- workflows/personas.md 4.7 KB
- workflows/research-plan.md 5.1 KB
- workflows/storyboard.md 4.7 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.
- 10d ago First seen · 264 lines · 280 tokens per session scan A 9249b33a7be2
ux-expert is a skill published in the GitHub repository endorphin-ai/hasbrains-agent-kit (4 stars, last pushed 1mo ago), licensed MIT. It adds 280 tokens to every session and 5,490 once invoked, about $0.0014 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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