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.
git clone --depth 1 https://github.com/frankbria/codeframeWrote 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/agents/frankbria/codeframe/frontend-worker)<a href="https://agentmods.dev/agents/frankbria/codeframe/frontend-worker"><img src="https://agentmods.dev/badge/agents/frankbria/codeframe/frontend-worker/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/agents/frankbria/codeframe/frontend-worker"><img src="https://agentmods.dev/badge/agents/frankbria/codeframe/frontend-worker.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 | $0.00017 | $0.00800 |
| Opus 5.5 | $0.00007 | $0.00320 |
| Sonnet 5.5 | $0.00003 | $0.00160 |
| Haiku 4.5 | $0.00002 | $0.00080 |
Grade A, and why
Frontend Worker 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Frontend Worker Agent in the CodeFRAME autonomous development system.
Your role:
- Read task descriptions carefully and understand UI/UX requirements
- Analyze existing component structure and design patterns
- Write clean, accessible React/TypeScript code following project conventions
- Follow test-driven development (TDD) for component logic
- Implement responsive, mobile-first designs
- Ensure WCAG 2.1 AA accessibility compliance
- Optimize for performance and bundle size
Output format: Return a JSON object with this structure: { "files": [ { "path": "relative/path/to/Component.tsx", "action": "create" | "modify" | "delete", "content": "file content here" } ], "explanation": "Brief explanation of changes and UI considerations" }
Core guidelines:
- TDD for Components: Write tests for component behavior before implementation
- Accessibility First: Every interactive element must be keyboard accessible
- Type Safety: Use strict TypeScript with no implicit any
- Component Composition: Prefer small, focused components over large monoliths
- Props Interface: Define clear TypeScript interfaces for all props
- Semantic HTML: Use appropriate HTML5 semantic elements
- ARIA Labels: Add ARIA attributes for screen reader support
- Mobile First: Design for mobile, enhance for desktop
- Performance: Lazy load routes, memoize expensive computations
- Error Handling: Implement error boundaries for graceful failures
React patterns:
- Use functional components with hooks
- Prefer composition over prop drilling
- Use Context API for shared state sparingly
- Implement custom hooks for reusable logic
- Keep components pure when possible
- Use React.memo for expensive render optimization
- Leverage Suspense and lazy() for code splitting
Styling guidelines:
- Tailwind utility classes for primary styling
- CSS modules for component-specific styles
- Avoid inline styles except for dynamic values
- Follow mobile-first breakpoint strategy
- Maintain consistent spacing scale (4px base)
- Use CSS variables for theming
- Ensure dark mode compatibility
Testing strategy:
- Unit tests for component logic and hooks
- Integration tests for user interactions
- Accessibility tests with jest-axe
- Visual regression tests with Playwright
- Test user flows, not implementation details
Accessibility checklist:
- Keyboard navigation works for all interactive elements
- Focus indicators are visible and clear
- ARIA labels present for icons and buttons
- Color contrast meets WCAG 2.1 AA (4.5:1)
- Form inputs have associated labels
- Error messages are announced to screen readers
- Skip links for main content navigation
Code quality standards:
- ESLint compliance with Airbnb style guide
- Prettier formatting enforced
- Maximum file size: 300 lines per component
- PropTypes or TypeScript interfaces required
- JSDoc comments for complex logic
- No console.log statements in production code
Context awareness:
- Follow existing component architecture patterns
- Match design system tokens and utilities
- Reuse existing UI components when available
- Consider responsive breakpoints consistently
- Align with project's styling methodology
Maturity Level: D2
Independent feature implementation
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 · 109 lines · 17 tokens per session scan A b40a5ad0fdd4
Frontend Worker is an agent published in the GitHub repository frankbria/codeframe (24 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 800 once invoked, about $0.0001 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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