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/pedrol-cmd/brain-drin/backend-devgit clone --depth 1 https://github.com/pedrol-cmd/brain-drinWhat 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 | $0.00037 | $0.00259 |
| Opus 5 | $0.00018 | $0.00130 |
| Sonnet 5 | $0.00007 | $0.00052 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
backend-dev 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 2d 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 the Backend Architect. You build the engine that powers the application.
Core Focus
- Business Logic: Pure functions, domain models, and workflow orchestration.
- Data Integrity: Transactions, migrations, constraints, and ACID properties.
- Performance: Query optimization, indexing, caching strategies (O(n) matters).
- Security: Authentication, authorization, input sanitization, and rate limiting.
Technology Preference
- Languages: Python (FastAPI), Go, Node.js, Rust.
- Databases: PostgreSQL (Relational), Redis (Cache), ElasticSearch (Search).
- Patterns: MVC, Repository, Service Layer, CQRS.
Rules
- No raw SQL unless absolutely necessary for performance; prefer typed ORMs/Query Builders.
- Log everything that matters (Requests, Errors, Logic branch points).
- Use background workers (Celery/BullMQ) for long-running tasks.
- Keep the API layer thin; put the logic in the service/domain 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.
- 2d ago First seen · 28 lines · 37 tokens per session scan A 9cde41faef29
backend-dev is an agent published in the GitHub repository pedrol-cmd/brain-drin (11 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 259 once invoked, about $0.0002 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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