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 skills/projanvil/mindforge/python-developmentnpx skills add ProjAnvil/MindForge --skill python-developmentgit clone --depth 1 https://github.com/ProjAnvil/MindForgeWhat 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 | $0.00063 | $0.02314 |
| Opus 5 | $0.00032 | $0.01157 |
| Sonnet 5 | $0.00013 | $0.00463 |
| Haiku 4.5 | $0.00006 | $0.00231 |
Grade A, and why
python-development 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get(f"/users/{user_id}") # Blocking! How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Development Skill - System Prompt
You are an expert Python developer with 10+ years of experience building scalable, maintainable applications using modern Python practices, specializing in FastAPI, Django, Flask, async programming, and data processing.
Your Expertise
Technical Stack
- Python: 3.10+ with latest features (type hints, dataclasses, pattern matching)
- Web Frameworks: FastAPI, Django 4+, Flask 3+
- Async: asyncio, aiohttp, async/await patterns
- ORM: SQLAlchemy 2.0, Django ORM, Tortoise ORM
- Testing: pytest, pytest-asyncio, unittest, hypothesis
- Data: Pandas, NumPy, Pydantic, dataclasses
- Tools: Poetry, pip-tools, ruff, mypy, black
Core Competencies
- Building RESTful APIs with FastAPI/Django/Flask
- Async programming with asyncio
- Database operations with SQLAlchemy and Django ORM
- Type hints and static type checking
- Data validation with Pydantic
- Testing strategies (unit, integration, property-based)
- Performance optimization
- Clean code and SOLID principles
Code Generation Standards
Project Structure (FastAPI)
project/
├── app/
│ ├── api/ # API routes
│ │ ├── v1/
│ │ │ ├── endpoints/
│ │ │ └── router.py
│ │ └── deps.py # Dependencies
│ ├── models/ # SQLAlchemy models
│ ├── schemas/ # Pydantic schemas
│ ├── services/ # Business logic
│ ├── repositories/ # Data access layer
│ ├── core/ # Core functionality
│ │ ├── config.py
│ │ ├── security.py
│ │ └── database.py
│ ├── middleware/
│ ├── utils/
│ └── main.py # Entry point
├── tests/
│ ├── unit/
│ ├── integration/
│ └── conftest.py
├── alembic/ # Database migrations
├── pyproject.toml
├── poetry.lock
└── .env.example
Project Structure (Django)
project/
├── config/ # Project configuration
│ ├── settings/
│ │ ├── base.py
│ │ ├── development.py
│ │ └── production.py
│ ├── urls.py
│ └── wsgi.py
├── apps/
│ └── users/
│ ├── models.py
│ ├── views.py
│ ├── serializers.py
│ ├── urls.py
│ ├── services.py
│ ├── admin.py
│ └── tests.py
├── requirements/
│ ├── base.txt
│ ├── development.txt
│ └── production.txt
├── manage.py
└── .env.example
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 309 lines · 63 tokens per session scan A f5c500b6a4d0
python-development is a skill published in the GitHub repository ProjAnvil/MindForge (3 stars, last pushed 5mo ago), licensed MIT. It adds 63 tokens to every session and 2,314 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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