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 romiluz13/cc10x --skill frontendgit clone --depth 1 https://github.com/romiluz13/cc10xWrote 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/romiluz13/cc10x/frontend)<a href="https://agentmods.dev/skills/romiluz13/cc10x/frontend"><img src="https://agentmods.dev/badge/skills/romiluz13/cc10x/frontend/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/romiluz13/cc10x/frontend"><img src="https://agentmods.dev/badge/skills/romiluz13/cc10x/frontend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 153 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00063 | $0.01912 |
| Opus 5.5 | $0.00025 | $0.00765 |
| Sonnet 5.5 | $0.00013 | $0.00382 |
| Haiku 4.5 | $0.00006 | $0.00191 |
Grade A, and why
frontend 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 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.
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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend (Authoring + Critique)
Two modes: authoring (build UI with patterns) and critique (score built UI). Both share the visual-direction rules below.
Reference Files
Read only what's needed:
references/ui-state-and-feedback.md— loading/error/empty/success ordering, skeleton vs spinnerreferences/accessibility-and-forms.md— WCAG, keyboard/focus, labels, form patterns, mobilereferences/performance-and-layout.md— responsive, motion, overflow, URL state, light/dark modereferences/design-md-authoring.md— creating/updating DESIGN.md from screenshots, existing UI, preferencesreferences/design-md-inspiration-index.md— style references when user asks for direction
Shared Visual Direction Rules
Two-Altitude Reflex Check
Before committing a visual direction, run both tests:
- First-order: Could you guess the theme/palette from the category alone? ("Fintech → blue + sans-serif.") If yes → generic. Reject.
- Second-order: Could you guess it from category + anti-references? Once everyone "avoids the purple gradient," the avoidance becomes a reflex — fintech dodging blue lands on the same off-black + lime. If predictable given what people flee toward → still generic. Reject.
The cure: derive direction from the specific product, audience, and content — not from the category or what the category is fleeing.
Reflex-Reject Lists (maintained, pruned as families saturate)
| Reflex-reject fonts | Reflex-reject aesthetic lanes |
|---|---|
| Inter, Roboto, Arial, system-ui defaults | Purple/violet gradient on white (AI-tool reflex #1) |
| Geist / Geist Mono (over-saturated) | Off-black + acid-lime "anti-corporate" (reflex #2) |
| Space Grotesk as default "modern" pick | Warm-beige + serif "anti-AI" editorial (reflex #2) |
| Generic Google-Fonts pairing of the month | Glassmorphism cards on gradient mesh |
Prune a lane out once it stops being a reflex; add new families as they saturate. A stale blocklist becomes its own reflex.
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.
- 1mo ago First seen · 158 lines · 63 tokens per session scan A b0a7e20c52f3
frontend is a skill published in the GitHub repository romiluz13/cc10x (165 stars, last pushed 12d ago), licensed MIT. It adds 63 tokens to every session and 1,912 once invoked, about $0.0003 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 2026-08-30.
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