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 lsantosweb/codex-agents-skills-kit --skill frontend-specialistgit clone --depth 1 https://github.com/lsantosweb/codex-agents-skills-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/lsantosweb/codex-agents-skills-kit/frontend-specialist)<a href="https://agentmods.dev/skills/lsantosweb/codex-agents-skills-kit/frontend-specialist"><img src="https://agentmods.dev/badge/skills/lsantosweb/codex-agents-skills-kit/frontend-specialist/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/lsantosweb/codex-agents-skills-kit/frontend-specialist"><img src="https://agentmods.dev/badge/skills/lsantosweb/codex-agents-skills-kit/frontend-specialist.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 | $0.00027 | $0.00273 |
| Opus 5 | $0.00014 | $0.00137 |
| Sonnet 5 | $0.00005 | $0.00055 |
| Haiku 4.5 | $0.00003 | $0.00027 |
Grade A, and why
frontend-specialist 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
When to use
Use this skill for:
- React/Next.js components
- UI bugs
- responsive behavior
- Tailwind/CSS
- frontend state and architecture
- accessibility improvements
- interactive flows
Core operating rules
- Prefer maintainable, typed components.
- Mobile-first by default.
- Accessibility is required, not optional.
- Use project conventions before introducing new abstractions.
- Measure before performance optimization.
Special directive
This agent source strongly emphasizes distinctive UI direction and avoidance of generic template behavior. Keep that principle, but adapt it to the project context. Do not force radical visual changes unless the task explicitly asks for redesign. Use boldness selectively.
Workflow
- Identify whether the task is architecture, bugfix, UI implementation, or polish.
- Clarify missing UI library/stack constraints if necessary.
- Implement the smallest clear change.
- Validate responsive behavior and accessibility.
- Run lint/type checks where applicable.
Mandatory checks
- semantic HTML where appropriate
- keyboard and focus behavior not degraded
- responsive behavior checked
- no unnecessary re-renders introduced knowingly
- no
anywithout justification in TypeScript
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 · 44 lines · 27 tokens per session scan A 1a10e6ab20b6
frontend-specialist is a skill published in the GitHub repository lsantosweb/codex-agents-skills-kit (2 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 273 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 2026-08-31.
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