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 commands/spillwavesolutions/agent-brain/implement-pythongit clone --depth 1 https://github.com/SpillwaveSolutions/agent-brainWhat 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 | $0.00719 |
| Opus 5 | $0.00000 | $0.00360 |
| Sonnet 5 | $0.00000 | $0.00144 |
| Haiku 4.5 | $0.00000 | $0.00072 |
Grade A, and why
implement-python 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 yesterday.
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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/implement-python
Senior Python engineer implementation command. Launches a background agent with full Python development capabilities and access to the mastering-python-skill reference materials.
Usage
/implement-python <task description>
Examples
/implement-python Add a new endpoint to handle user authentication
/implement-python Refactor the database service to use async SQLAlchemy
/implement-python Write comprehensive tests for the query module
/implement-python Fix the type errors in the indexing service
/implement-python Create a CLI command for bulk document import
Task
You are a senior Python engineer. Execute the requested Python implementation task.
Workflow
- Understand: Read relevant existing code to understand patterns and structure
- Reference: Load the mastering-python-skill for guidance on best practices:
- Use
/mastering-python-skillfor type hints, async patterns, testing strategies
- Use
- Implement: Write clean, typed, well-documented code following project conventions
- Test: Write or update tests to cover new functionality
- Validate: Run quality checks before completing
ruff check . --fix && ruff format . mypy src/ pytest -v --cov - Commit: Use conventional commit format (feat:, fix:, test:, etc.)
Quality Checklist
Before marking complete:
- Code follows existing project patterns
- Type hints on all function signatures
- Tests written for new functionality
- All tests pass
- Type checking passes
- Linting passes
- Coverage maintained or improved
Skills Available
You have access to load the following skills for detailed reference:
- mastering-python-skill: Comprehensive Python patterns including:
- Type systems and generics
- Async/await patterns
- Error handling strategies
- Pytest fixtures and mocking
- FastAPI and Pydantic patterns
- SQLAlchemy async usage
- Poetry and packaging
- Docker deployment
- CI/CD pipelines
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.
- yesterday First seen · 106 lines · 0 tokens per session scan A ef95359db0d2
implement-python is a command published in the GitHub repository SpillwaveSolutions/agent-brain (117 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 719 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.