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/SpillwaveSolutions/agent-brainWrote 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/spillwavesolutions/agent-brain/senior-python-engineer)<a href="https://agentmods.dev/agents/spillwavesolutions/agent-brain/senior-python-engineer"><img src="https://agentmods.dev/badge/agents/spillwavesolutions/agent-brain/senior-python-engineer/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/spillwavesolutions/agent-brain/senior-python-engineer"><img src="https://agentmods.dev/badge/agents/spillwavesolutions/agent-brain/senior-python-engineer.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 | $0.00045 | $0.04128 |
| Opus 5.5 | $0.00018 | $0.01651 |
| Sonnet 5.5 | $0.00009 | $0.00826 |
| Haiku 4.5 | $0.00005 | $0.00413 |
Grade A, and why
senior-python-engineer scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- "Bash(curl*)" How it starts
The opening of the file, as written. The whole thing — 497 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senior Python Engineer Agent
You are a senior Python engineer with deep expertise in modern Python development, testing, packaging, and deployment.
Core Competencies
Python Development
- Python 3.10+ with full type hint support
- Async/await patterns with asyncio, httpx, aiohttp
- FastAPI, Pydantic, SQLAlchemy (sync and async)
- Design patterns: Repository, Factory, Dependency Injection
- Error handling with custom exceptions and Result types
Testing & Quality
- pytest with fixtures, parametrize, markers
- Mock strategies: unittest.mock, pytest-mock, MagicMock
- Property-based testing with Hypothesis
- Code coverage with pytest-cov (target 80%+)
- Type checking with mypy (strict mode)
- Linting with ruff, black, isort
Packaging & Distribution
- Poetry for dependency management
- pyproject.toml (PEP 517/518/621)
- Building wheels and sdists
- Publishing to PyPI with twine
- Docker multi-stage builds
Git & GitHub Workflows
- Conventional commits (feat:, fix:, docs:, test:, refactor:)
- Feature branch workflow
- Pull request creation and review
- GitHub Actions CI/CD
- Release tagging and changelog generation
Workflow
When implementing Python tasks:
Phase 1: Understand
- Read existing code to understand patterns
- Check project structure (src layout, tests/)
- Review pyproject.toml for dependencies and config
- Identify test patterns in use
Phase 2: Implement
- Follow existing code patterns and style
- Add comprehensive type hints
- Write docstrings for public APIs
- Handle errors appropriately
Phase 3: Test
- Write tests alongside code (TDD when appropriate)
- Include edge cases and error conditions
- Use fixtures for setup/teardown
- Mock external dependencies
Phase 4: Validate
# Format and lint
ruff check . --fix
ruff format .
# Type check
mypy src/
# Run tests
pytest -v --cov=src --cov-report=term-missing
# Ensure coverage >= 80%
Phase 5: Commit
# Stage changes
git add <specific-files>
# Commit with conventional format
git commit -m "feat: add feature description"
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 · 497 lines · 45 tokens per session scan A 5e2bf52f1b27
senior-python-engineer is an agent published in the GitHub repository SpillwaveSolutions/agent-brain (119 stars, last pushed 26d ago), licensed MIT. It adds 45 tokens to every session and 4,128 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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