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 Eliyce/paqad-ai --skill ux-heuristic-evaluationgit clone --depth 1 https://github.com/Eliyce/paqad-aiWrote 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/eliyce/paqad-ai/ux-heuristic-evaluation)<a href="https://agentmods.dev/skills/eliyce/paqad-ai/ux-heuristic-evaluation"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/ux-heuristic-evaluation/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/eliyce/paqad-ai/ux-heuristic-evaluation"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/ux-heuristic-evaluation.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 | $0.00015 | $0.00508 |
| Opus 5 | $0.00008 | $0.00254 |
| Sonnet 5 | $0.00003 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
ux-heuristic-evaluation 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 8d 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
What It Does
Evaluates changed UI behavior against a defined heuristic rubric so usability issues are reported as concrete user-impact findings instead of subjective design opinions.
Use This When
Use this for any meaningful UI change once the target flow and states are known, especially before final review or documentation handoff.
Inputs
- Read the affected UI docs, flow notes, and current state inventory first.
- Read
references/heuristic-rubric.mdbefore evaluating the interface. - Read the relevant stack-specific browser validation guide if behavior needs interactive confirmation.
Procedure
- Walk every heuristic in
assets/heuristics.txtagainst the changed interface; never skip a category silently. - Tie each issue to a user task, state, or observed confusion point — never style preference.
- Bucket findings into Blocking Issues vs Improvement Opportunities per
assets/output.template.md. - Note any UI doc that must update because the heuristic reveals missing state documentation.
- Validate with
scripts/lint-output.sh.
Output Contract
- Return sections named
Blocking IssuesandImprovement Opportunities. - Each finding must state the affected screen or component, the heuristic violated, and the user impact.
- If no issues are found, write
Blocking Issues: noneandImprovement Opportunities: none.
Escalate / Stop Conditions
- Ask when the expected user goal or task completion path is unclear.
- Warn when the interface appears to conflict with accessibility or recovery expectations.
- Do not file purely stylistic preferences as heuristic issues.
Resources
references/heuristic-rubric.mdscripts/lint-output.shassets/output.template.mdassets/heuristics.txtruntime/capabilities/coding/stacks/flutter/references/tools/playwright.mdagents/openai.yaml
What ships with it
5 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.
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.
- 8d ago First seen · 68 lines · 15 tokens per session scan A d87e2853ff0c
ux-heuristic-evaluation is a skill published in the GitHub repository Eliyce/paqad-ai (8 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 508 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
double-diamond
A four-stage design method for understanding a problem, defining it clearly, exploring possible solutions, and choosing one to deliver.
make-interfaces-feel-better
Use when building or reviewing UI polish: typography, hit areas, nested radius, optical alignment, shadows, media outlines, micro-interactions, and animation performance.
frontend-skill
Use when the task asks for a visually strong landing page, website, app, prototype, demo, or game UI. This skill enforces restrained composition, image-led hierarchy, cohesive content structure, and tasteful motion while avoiding generic cards, weak branding, and UI clutter.
frontend-skill
Use when the task asks for a visually strong landing page, website, app, prototype, demo, or game UI. This skill enforces restrained composition, image-led hierarchy, cohesive content structure, and tasteful motion while avoiding generic cards, weak branding, and UI clutter.
session-investigator
Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool…
infographics
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.