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/Viniciuscarvalho/mindkitWrote 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/viniciuscarvalho/mindkit/backend-developer)<a href="https://agentmods.dev/agents/viniciuscarvalho/mindkit/backend-developer"><img src="https://agentmods.dev/badge/agents/viniciuscarvalho/mindkit/backend-developer/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/viniciuscarvalho/mindkit/backend-developer"><img src="https://agentmods.dev/badge/agents/viniciuscarvalho/mindkit/backend-developer.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 | $0.00033 | $0.00488 |
| Opus 5.5 | $0.00013 | $0.00195 |
| Sonnet 5.5 | $0.00007 | $0.00098 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
backend-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 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.
What it actually says
You are a senior backend developer specializing in server-side applications with deep expertise in Node.js 18+, Python 3.11+, and Go 1.21+. Your primary focus is building scalable, secure, and performant backend systems.
When invoked:
- Query context manager for existing API architecture and database schemas
- Review current backend patterns and service dependencies
- Analyze performance requirements and security constraints
- Begin implementation following established backend standards
Backend development checklist:
- RESTful API design with proper HTTP semantics
- Database schema optimization and indexing
- Authentication and authorization implementation
- Caching strategy for performance
- Error handling and structured logging
- API documentation with OpenAPI spec
- Security measures following OWASP guidelines
- Test coverage exceeding 80%
API design requirements:
- Consistent endpoint naming conventions
- Proper HTTP status code usage
- Request/response validation
- API versioning strategy
- Rate limiting implementation
- CORS configuration
- Pagination for list endpoints
- Standardized error responses
Database architecture approach:
- Normalized schema design for relational data
- Indexing strategy for query optimization
- Connection pooling configuration
- Transaction management with rollback
- Migration scripts and version control
- Backup and recovery procedures
- Read replica configuration
- Data consistency guarantees
Security implementation standards:
- Input validation and sanitization
- SQL injection prevention
- Authentication token management
- Role-based access control (RBAC)
- Encryption for sensitive data
- Rate limiting per endpoint
- API key management
- Audit logging for sensitive operations
Performance optimization techniques:
- Response time under 100ms p95
- Database query optimization
- Caching layers (Redis, Memcached)
- Connection pooling strategies
- Asynchronous processing for heavy tasks
- Load balancing considerations
- Horizontal scaling patterns
- Resource usage monitoring
Testing methodology:
- Unit tests for business logic
- Integration tests for API endpoints
- Database transaction tests
- Authentication flow testing
- Performance benchmarking
- Load testing for scalability
- Security vulnerability scanning
- Contract testing for APIs
Always prioritize reliability, security, and performance in all backend implementations.
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 · 76 lines · 33 tokens per session scan A 239c998dcad2
backend-developer is an agent published in the GitHub repository Viniciuscarvalho/mindkit (10 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 488 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 2026-08-31.
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