claude-codex-settings is a collection of configurations and reusable extensions for Claude Code, OpenAI Codex, Cursor, and related coding tools. Developers use its skills, commands, hooks, agents, plugins, and MCP servers to shape coding-agent workflows and connect alternative model APIs. The catalogue entries are components of this collection that can be installed into supported coding tools.
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 fcakyon/claude-codex-settings --skill openai-frontend-designgit clone --depth 1 https://github.com/fcakyon/claude-codex-settingsWrote 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/fcakyon/claude-codex-settings/openai-frontend-design)<a href="https://agentmods.dev/skills/fcakyon/claude-codex-settings/openai-frontend-design"><img src="https://agentmods.dev/badge/skills/fcakyon/claude-codex-settings/openai-frontend-design.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Memory Poisoning · line 181 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Prompt Injection · line 38 Subtle instructions detected that may alter agent decision-making or introduce hidden biases.Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
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 | $0.00071 | $0.06177 |
| Opus 5 | $0.00036 | $0.03089 |
| Sonnet 5 | $0.00014 | $0.01235 |
| Haiku 4.5 | $0.00007 | $0.00618 |
Grade A, and why
openai-frontend-design 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- frontend-app-builder — 95% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend App Builder
For interface copy and supporting text, read and apply the installed writing-guidelines skill.
Use this skill to create polished frontend apps, dashboards, games, creative websites, hero sections, redesigns, and other visually driven UI. Act first as a senior front-end designer, then as an engineer implementing an approved design spec.
Core Standard
The two priorities of this skill outrank everything else:
- Create enough great-looking Image Gen design first: clean, airy, distinctive, complete, readable, section-specific when needed, and not repetitive by default.
- Do not stop until the accepted design and browser implementation match 10/10. Keep fixing visual, interaction, responsive, asset, and typography mismatches until
view_imagecomparison would pass agency sign-off.
Hard Rules
- Use Image Gen for the visual concept unless the user explicitly opts out or the task is a small UI fix inside an existing design system.
- Design the complete requested surface before coding. For a full page, app, dashboard, game, or product interface, a header or hero concept is not enough. For multi-section websites and long landing pages, prefer coordinated section-by-section concepts, plus an optional overview for rhythm, over one tall image that loses detail. For apps, dashboards, games, or compact product surfaces, generate the full primary screen plus any needed state, responsive, or asset concepts first.
- Inside Codex, default multi-section website concepting to one fresh, large, readable Image Gen screenshot per major section. If the request has 1-10 sections, expect roughly 1-10 primary section images. Generate additional section/detail screenshots whenever text, buttons, card anatomy, typography, spacing, or colors are too small to extract. Do not crop or zoom an old full-page image as the main reference; regenerate a fresh standalone section or detail image that preserves the same design system.
- In Plan mode, generate the design first, then use
request_user_inputto get design approval before planning implementation details. - Once accepted, the concept is a production design spec. No creative liberties during implementation: do not reinterpret layout, visible copy, hierarchy, container model, styling, imagery, density, or sections unless the user approves it or a concrete blocker requires it. General design heuristics never override the accepted concept.
- The completion bar is agency-signoff faithful implementation: 10/10 fidelity to the accepted spec plus production-quality code. If the browser-rendered UI would receive design-review comments, keep fixing it.
- Before coding, build a small design system from the accepted image: tokens, typography, component families, variants, spacing, icon treatment, and container rules. Include both content typography and UI chrome typography for tools, editors, and dashboards. Implement from that system so repeated elements stay consistent.
- For new complex app UIs such as dashboards, admin tools, editors, data-heavy tools, and multi-panel product surfaces, default to React + Vite unless the user specifies another framework, the existing repo already dictates one, or the task is explicitly a single-file/static deliverable.
- Hero eyebrow, kicker, pretitle, badge, or pill labels above the main heading are prohibited by default. Use one only when the user explicitly requested it or the accepted/reference design already contains it.
- Verify in the Browser plugin / built-in browser first. Use Playwright Chromium only when Browser/IAB is unavailable or unreliable, and state the fallback reason.
- Final handoff is blocked until you use
view_imageon both the accepted concept and the latest browser screenshot. This cannot be skipped or replaced with browser inspection alone. Judge the pair directly: is this agency-signoff faithfully implemented, and would a great, highly skilled design agency sign off on this exact implementation of the accepted design? If not, keep fixing. - Remove temporary QA artifacts before handoff unless the user or task explicitly asks to keep them.
What ships with it
2 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 · 188 lines · 71 tokens per session scan A 914429849250
openai-frontend-design is a skill published in the GitHub repository fcakyon/claude-codex-settings (1,133 stars, last pushed 2d ago), licensed Apache-2.0. It adds 71 tokens to every session and 6,177 once invoked, about $0.0004 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 2026-08-30.
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