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/shwilliamson/automatasaurus/python-standardsnpx skills add shwilliamson/automatasaurus --skill python-standardsgit clone --depth 1 https://github.com/shwilliamson/automatasaurusWhat 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 | $0.00026 | $0.01559 |
| Opus 5 | $0.00013 | $0.00779 |
| Sonnet 5 | $0.00005 | $0.00312 |
| Haiku 4.5 | $0.00003 | $0.00156 |
Grade A, and why
python-standards 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.
How it starts
The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Coding Standards
New Project Preferences
When starting new Python projects, prefer:
- uv for package/environment management (fast, modern alternative to pip/venv)
- FastAPI for web APIs
- Pydantic for data validation and serialization
Style Guide
Follow PEP 8 with these project-specific additions:
Formatting
- Line length: 88 characters (Black default)
- Use Black for formatting, isort for imports
- Use double quotes for strings (Black default)
Naming Conventions
# Modules and packages: lowercase_with_underscores
user_service.py
# Classes: PascalCase
class UserService:
pass
# Functions and variables: snake_case
def get_user_by_id(user_id: int) -> User:
active_users = []
# Constants: SCREAMING_SNAKE_CASE
MAX_RETRY_ATTEMPTS = 3
DEFAULT_TIMEOUT_SECONDS = 30
# Private: single leading underscore
def _internal_helper():
pass
# "Private" (name mangling): double leading underscore (rare)
class Base:
def __private_method(self):
pass
Imports
# Order: stdlib, third-party, local (isort handles this)
import os
import sys
from pathlib import Path
import requests
from pydantic import BaseModel
from app.models import User
from app.services import UserService
Type Hints
Always use type hints for function signatures:
from typing import Optional, List, Dict, Any, Union
from collections.abc import Sequence, Mapping
def process_users(
users: List[User],
filter_active: bool = True,
metadata: Optional[Dict[str, Any]] = None,
) -> List[ProcessedUser]:
"""Process a list of users with optional filtering."""
...
# Use | for unions (Python 3.10+)
def get_value(key: str) -> str | None:
...
Docstrings
Use Google-style docstrings:
def fetch_user(user_id: int, include_deleted: bool = False) -> User:
"""Fetch a user by their ID.
Args:
user_id: The unique identifier of the user.
include_deleted: Whether to include soft-deleted users.
Returns:
The User object if found.
Raises:
UserNotFoundError: If no user exists with the given ID.
DatabaseConnectionError: If the database is unavailable.
"""
...
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 · 285 lines · 26 tokens per session scan A aaabbb7397dd
python-standards is a skill published in the GitHub repository shwilliamson/automatasaurus (5 stars, last pushed 6mo ago), licensed MIT. It adds 26 tokens to every session and 1,559 once invoked, about $0.0001 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 2026-08-31.
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