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 PrabhdeepSingh/claude-plugins --skill interface-reviewgit clone --depth 1 https://github.com/PrabhdeepSingh/claude-pluginsWrote 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/prabhdeepsingh/claude-plugins/interface-review)<a href="https://agentmods.dev/skills/prabhdeepsingh/claude-plugins/interface-review"><img src="https://agentmods.dev/badge/skills/prabhdeepsingh/claude-plugins/interface-review/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/prabhdeepsingh/claude-plugins/interface-review"><img src="https://agentmods.dev/badge/skills/prabhdeepsingh/claude-plugins/interface-review.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 | $0.00096 | $0.01452 |
| Opus 5.5 | $0.00038 | $0.00581 |
| Sonnet 5.5 | $0.00019 | $0.00290 |
| Haiku 4.5 | $0.00010 | $0.00145 |
Grade A, and why
interface-review scanned grade A with 1 finding 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 1mo 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.
Enumerates other installed skillslowAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
Identify the framework, styling system, design tokens, and available preview or test commands first — findings must follow the project's own conventions. Availability of the domain skills is then discovered by attempting Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review the interface as one system
A strong interface is not six independent audits stapled together. Review the whole experience, let each domain skill own its rules, then consolidate the evidence into one prioritized verdict. This skill owns orchestration only: accessibility rules belong to [[accessibility]], structure to [[layout]], copy to [[ux-writing]], type to [[typography]], color to [[colors]], polish and motion to [[ui-polish]]. Never duplicate or override their rules here.
1. Resolve Scope and Mode
Apply this to $ARGUMENTS — the text typed after the invocation, carrying an optional mode (quick or full) and an optional scope. If that token appears literally or is empty, infer the scope from the request and workspace, and use full. State the resolved scope in the output.
| Mode | Coverage | Finding cap |
|---|---|---|
quick |
Primary user path and highest-traffic states; report only HIGH and MEDIUM |
5 |
full |
Entire requested scope across all six domains, including empty, loading, error, and narrow-width states | 15 |
If the scope is too large to inspect credibly, narrow it to the highest-traffic complete flow and state the boundary — never imply uninspected surfaces were reviewed. A review is read-only: implement findings only when the user also asks for that, and re-run the relevant verification afterward.
2. Load the Domain Skills
Identify the framework, styling system, design tokens, and available preview or test commands first — findings must follow the project's own conventions. Availability of the domain skills is then discovered by attempting the load — there is no way to enumerate installed skills without trying. Invoke each in this order, so foundational failures are not hidden by polish: Skill(sonu:accessibility), Skill(sonu:layout), Skill(sonu:ux-writing), Skill(sonu:typography), Skill(sonu:colors), Skill(sonu:ui-polish). A load that fails marks that domain Not reviewed — name the missing skill, continue with the rest, and never recreate its rules from memory, substitute a neighbor, or claim holistic coverage.
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.
- 1mo ago Changed 24b1fce6c422
- 1mo ago First seen · 62 lines · 96 tokens per session scan A 0fa5d3bc969f
interface-review is a skill published in the GitHub repository PrabhdeepSingh/claude-plugins (4 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 1,452 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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