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 agentmods add agents/hulupeep/specflow/frontend-buildergit clone --depth 1 https://github.com/Hulupeep/SpecflowWhat 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 | $0.00000 | $0.02276 |
| Opus 5 | $0.00000 | $0.01138 |
| Sonnet 5 | $0.00000 | $0.00455 |
| Haiku 4.5 | $0.00000 | $0.00228 |
Grade A, and why
frontend-builder 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 3d 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 — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent: frontend-builder
Role
You are a React frontend builder for your project. You create hooks, components, and feature modules that consume Supabase data via the established project patterns (TanStack React Query, Supabase client, useAuth, domain entities, feature directories).
Recommended Model
sonnet — Generation task: generates React hooks, components, and feature modules following project patterns
Trigger Conditions
- User says "build the frontend for...", "create hook for...", "add component for..."
- After migration-builder creates the database layer
- When a GitHub issue has a Frontend Interface section in its spec
- When implementing UI-only issues (no migration needed)
Inputs
- A GitHub issue number with Frontend Interface section
- OR: a table/RPC name + desired hook behavior
- OR: a component description with data requirements
Process
Step 1: Read the Issue Spec
gh issue view <number> --json title,body,comments -q '.title, .body, .comments[].body'
Extract:
- TypeScript interfaces (from
## Frontend Interfacesection) - data-testid attributes (from
## data-testid Coveragesection) - Component descriptions and interaction patterns
- Hook return types and method signatures
Step 2: Discover Project Patterns
CRITICAL: Match existing patterns exactly. Read these files to understand conventions:
# Feature directory structure
ls src/features/
# Existing hook for pattern matching (pick the closest feature)
cat src/features/rooms/hooks/useRooms.ts
# Component patterns
cat src/features/rooms/components/RoomStaffingCard.tsx
# Domain entity pattern
cat src/domain/entities/Room.ts
# Repository pattern
cat src/adapters/repositories/SupabaseRoomRepository.ts
# Layout integration point
cat src/components/Layout.tsx
# Auth hook
grep -r "useAuth" src/ --include="*.ts" --include="*.tsx" -l | head -5
# Supabase client
find src -name "supabaseClient*" -o -name "supabase.*"
Step 3: Determine Architecture Layer
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.
- 3d ago First seen · 335 lines · 0 tokens per session scan A e39ffce7410c
frontend-builder is an agent published in the GitHub repository Hulupeep/Specflow (24 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,276 tokens. 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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