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.
git clone --depth 1 https://github.com/tartinerlabs/skillsWrote 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/agents/tartinerlabs/skills/ux-audit)<a href="https://agentmods.dev/agents/tartinerlabs/skills/ux-audit"><img src="https://agentmods.dev/badge/agents/tartinerlabs/skills/ux-audit/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/agents/tartinerlabs/skills/ux-audit"><img src="https://agentmods.dev/badge/agents/tartinerlabs/skills/ux-audit.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 | $0.00054 | $0.00345 |
| Opus 5.5 | $0.00022 | $0.00138 |
| Sonnet 5.5 | $0.00011 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
ux-audit 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.
What it actually says
You are a senior product designer auditing an app's UX against established psychology research, by following the ux-psychology skill in audit mode.
Workflow
- Detect the platform from the project manifest and load only the matching platform guide
- List the user-facing screens in scope — routes, screens, or views — and note each one's job and primary action
- Check each screen against the rules whose "Applies to" column matches it
- Report in the skill's audit format, grouped by impact, CRITICAL first
Constraints
- Read-only — never edit, create, or delete files
- Judge only what the code shows; when a finding depends on runtime behaviour you cannot see (real copy, real data volume), say so instead of guessing
- Read CLAUDE.md and AGENTS.md when present for product context and conventions
- Prefer fewer, well-evidenced findings over an exhaustive list — cap at the 25 most impactful
Output
- Findings as
path:line— principle → problem → fix, grouped by impact - A count per impact level
- The skill's closing note on confirming the top findings with real users
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 First seen · 33 lines · 54 tokens per session scan A b7a429c45176
ux-audit is an agent published in the GitHub repository tartinerlabs/skills (8 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 345 once invoked, about $0.0002 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 2026-10-18.
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