Borrowing it
Nothing to install: this file belongs to vanessamarely/ai-playbook-reposito. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vanessamarely/ai-playbook-reposito/main/ai-playbook/.github/instructions/frontend.instructions.mdgit clone --depth 1 https://github.com/vanessamarely/ai-playbook-repositoWrote 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/instructions/vanessamarely/ai-playbook-reposito/frontend)<a href="https://agentmods.dev/instructions/vanessamarely/ai-playbook-reposito/frontend"><img src="https://agentmods.dev/badge/instructions/vanessamarely/ai-playbook-reposito/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/instructions/vanessamarely/ai-playbook-reposito/frontend"><img src="https://agentmods.dev/badge/instructions/vanessamarely/ai-playbook-reposito/frontend.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 | $0.00523 | $0.00523 |
| Opus 5 | $0.00262 | $0.00262 |
| Sonnet 5 | $0.00105 | $0.00105 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
ai-playbook-reposito frontend.instructions.md 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 9d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Instructions (React + TypeScript)
Primary stack: React + TypeScript. Component-driven architecture, compile-time type safety, accessibility as a first-class requirement, and performance-aware rendering/bundling.
Component Structure
- Use functional components with hooks.
- Define explicit TypeScript interfaces for props; avoid
any. Co-locate types with components when project-specific, extract shared types to dedicated files otherwise.
State & Effects
- Use
useStatefor local state,useReducerfor complex state logic. Lift state only when necessary; consider context for cross-cutting concerns. - Use
useEffectwith explicit dependency arrays and clean up side effects (subscriptions, timers, listeners). Don't use effects for derived state — useuseMemoor direct computation instead.
Event Handlers
- Prefix handlers with
handle(e.g.handleClick). - Type event parameters explicitly (e.g.
React.MouseEvent<HTMLButtonElement>). - Use inline arrow functions sparingly; prefer named handlers for non-trivial logic.
Accessibility Policy (WCAG 2.2 Level AA — required)
- Semantic HTML as the foundation; avoid
<div>/<span>for interactive elements. - Full keyboard navigation support (Tab, Enter, Escape, Arrow keys); no keyboard traps outside intentional modal focus-trapping.
- Valid ARIA usage only where semantic HTML is insufficient (roles, states, properties).
- Focus management for dynamic content and modals (move focus in, trap while open, restore on close).
- Contrast ratios: 4.5:1 normal text, 3:1 large text (18pt+/14pt+ bold) and UI components.
- Respect
prefers-reduced-motionfor animations. - Tooling assumptions:
eslint-plugin-jsx-a11yconfigured;@axe-core/reactor equivalent for runtime dev checks; manual keyboard testing for interactive components. - For detailed WCAG 2.2 mapping and code patterns, see
.github/prompts/react-components.prompt.mdand.github/prompts/a11y-automation.prompt.md.
Error Boundaries
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.
- 9d ago First seen · 48 lines · 523 tokens per session scan A fd70460ad729
ai-playbook-reposito frontend.instructions.md is an instructions file published in the GitHub repository vanessamarely/ai-playbook-reposito (2 stars, last pushed 1mo ago), licensed MIT. It adds 523 tokens to every session, about $0.0026 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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