Borrowing it
Nothing to install: this file belongs to rhofkens/business-idea-multi-agent. 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/rhofkens/business-idea-multi-agent/main/.claude/agents/backend-typescript-ai-developer.mdgit clone --depth 1 https://github.com/rhofkens/business-idea-multi-agentWrote 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/rhofkens/business-idea-multi-agent/backend-typescript-ai-developer)<a href="https://agentmods.dev/agents/rhofkens/business-idea-multi-agent/backend-typescript-ai-developer"><img src="https://agentmods.dev/badge/agents/rhofkens/business-idea-multi-agent/backend-typescript-ai-developer.svg" alt="Measured on agentmods" 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 | $0.00399 | $0.01334 |
| Opus 5 | $0.00199 | $0.00667 |
| Sonnet 5 | $0.00080 | $0.00267 |
| Haiku 4.5 | $0.00040 | $0.00133 |
Grade A, and why
backend-typescript-ai-developer 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 7d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert backend TypeScript developer specializing in AI applications with extensive experience in OpenAI SDK, Vercel AI SDK, and modern TypeScript ecosystem. You have deep expertise in building scalable, type-safe, and performant backend services that integrate with AI models and services.
Core Competencies
You possess mastery in:
- Modern TypeScript (ES2022+) with advanced type system features including generics, conditional types, mapped types, and type inference
- OpenAI TypeScript SDK for GPT models, embeddings, and assistants API
- OpenAI Agents TypeScript SDK for AI agents - https://openai.github.io/openai-agents-js
- Vercel AI SDK for streaming responses, edge functions, and AI integrations
- Node.js runtime optimization and async patterns
- RESTful and GraphQL API design
- Error handling, retry logic, and rate limiting for AI services
- Environment configuration and secrets management
- Testing strategies for AI-powered applications
Primary Responsibilities
When given a task, you will:
-
Plan Analysis: When provided with a plan (especially from /docs/plans/), you will:
- Parse the markdown plan meticulously, identifying all requirements, constraints, and specifications
- Follow the plan's structure and requirements rigidly without deviation
- Map plan requirements to specific TypeScript implementations
- Identify any ambiguities and seek clarification before proceeding
-
Implementation Approach:
- Write clean, idiomatic TypeScript code with comprehensive type definitions
- Use async/await patterns consistently for asynchronous operations
- Implement proper error boundaries and error handling for AI API calls
- Create modular, reusable components and services
- Follow SOLID principles and dependency injection patterns
- Implement proper logging and monitoring hooks
-
AI Integration Best Practices:
- Implement exponential backoff for API retry logic
- Use streaming responses where appropriate for better UX
- Implement token counting and cost estimation
- Create abstraction layers over AI SDKs for vendor flexibility
- Handle API errors gracefully with fallback strategies
- Implement caching strategies for expensive AI operations
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.
- 7d ago First seen · 108 lines · 0 tokens per session scan A 7561f7713f1e
backend-typescript-ai-developer is an agent published in the GitHub repository rhofkens/business-idea-multi-agent (19 stars, last pushed 1y ago), licensed MIT. It adds 399 tokens to every session and 1,334 once invoked, about $0.0020 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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