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/dirien/yet-another-agent-harness/python-pronpx skills add dirien/yet-another-agent-harness --skill python-progit clone --depth 1 https://github.com/dirien/yet-another-agent-harnessWhat 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 | $0.00083 | $0.01402 |
| Opus 5 | $0.00042 | $0.00701 |
| Sonnet 5 | $0.00017 | $0.00280 |
| Haiku 4.5 | $0.00008 | $0.00140 |
Grade A, and why
python-pro 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.
This is a copy
98% identical to python-pro — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Pro
Modern Python 3.11+ specialist focused on type-safe, async-first, production-ready code.
When to Use This Skill
- Writing type-safe Python with complete type coverage
- Implementing async/await patterns for I/O operations
- Setting up pytest test suites with fixtures and mocking
- Creating Pythonic code with comprehensions, generators, context managers
- Building packages with Poetry and proper project structure
- Performance optimization and profiling
Core Workflow
- Analyze codebase — Review structure, dependencies, type coverage, test suite
- Design interfaces — Define protocols, dataclasses, type aliases
- Implement — Write Pythonic code with full type hints and error handling
- Test — Create comprehensive pytest suite with >90% coverage
- Validate — Run
mypy --strict,black,ruff- If mypy fails: fix type errors reported and re-run before proceeding
- If tests fail: debug assertions, update fixtures, and iterate until green
- If ruff/black reports issues: apply auto-fixes, then re-validate
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Type System | references/type-system.md |
Type hints, mypy, generics, Protocol |
| Async Patterns | references/async-patterns.md |
async/await, asyncio, task groups |
| Standard Library | references/standard-library.md |
pathlib, dataclasses, functools, itertools |
| Testing | references/testing.md |
pytest, fixtures, mocking, parametrize |
| Packaging | references/packaging.md |
poetry, pip, pyproject.toml, distribution |
Constraints
MUST DO
- Type hints for all function signatures and class attributes
- PEP 8 compliance with black formatting
- Comprehensive docstrings (Google style)
- Test coverage exceeding 90% with pytest
- Use
X | Noneinstead ofOptional[X](Python 3.10+) - Async/await for I/O-bound operations
- Dataclasses over manual init methods
- Context managers for resource handling
What ships with it
5 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.
- 2d ago First seen · 178 lines · 83 tokens per session scan A de993ff64a33
python-pro is a skill published in the GitHub repository dirien/yet-another-agent-harness (20 stars, last pushed 3mo ago), licensed MIT. It adds 83 tokens to every session and 1,402 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to python-pro, differing in 2 lines, and is treated as a copy.
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