ECC is a toolkit that organizes and improves how coding agents work through skills, memory, security checks, research practices, and related extensions. It is for developers using agents such as Claude Code, Codex, OpenCode, and Cursor.
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 skills add affaan-m/ECC --skill python-patternsgit clone --depth 1 https://github.com/affaan-m/ECCWrote 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/skills/affaan-m/ecc/python-patterns)<a href="https://agentmods.dev/skills/affaan-m/ecc/python-patterns"><img src="https://agentmods.dev/badge/skills/affaan-m/ecc/python-patterns.svg" alt="Measured on agentmods" 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 | $0.02291 |
| Opus 5 | $0.00023 | $0.01145 |
| Sonnet 5 | $0.00009 | $0.00458 |
| Haiku 4.5 | $0.00005 | $0.00229 |
Grade A, and why
python-patterns 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 3d 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- python-patterns — 100% identical, 0 lines differ
- python-patterns — 100% identical, 2 lines differ
- python-patterns — 100% identical, 2 lines differ
- python-patterns — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Patterns
This skill provides comprehensive Python patterns extending common design principles with Python-specific idioms.
Protocol (Duck Typing)
Use Protocol for structural subtyping (duck typing with type hints):
from typing import Protocol
class Repository(Protocol):
def find_by_id(self, id: str) -> dict | None: ...
def save(self, entity: dict) -> dict: ...
# Any class with these methods satisfies the protocol
class UserRepository:
def find_by_id(self, id: str) -> dict | None:
# implementation
pass
def save(self, entity: dict) -> dict:
# implementation
pass
def process_entity(repo: Repository, id: str) -> None:
entity = repo.find_by_id(id)
# ... process
Benefits:
- Type safety without inheritance
- Flexible, loosely coupled code
- Easy testing and mocking
Dataclasses as DTOs
Use dataclass for data transfer objects and value objects:
from dataclasses import dataclass, field
from typing import Optional
@dataclass
class CreateUserRequest:
name: str
email: str
age: Optional[int] = None
tags: list[str] = field(default_factory=list)
@dataclass(frozen=True)
class User:
"""Immutable user entity"""
id: str
name: str
email: str
Features:
- Auto-generated
__init__,__repr__,__eq__ frozen=Truefor immutabilityfield()for complex defaults- Type hints for validation
Context Managers
Use context managers (with statement) for resource management:
from contextlib import contextmanager
from typing import Generator
@contextmanager
def database_transaction(db) -> Generator[None, None, None]:
"""Context manager for database transactions"""
try:
yield
db.commit()
except Exception:
db.rollback()
raise
# Usage
with database_transaction(db):
db.execute("INSERT INTO users ...")
Class-based context manager:
class FileProcessor:
def __init__(self, filename: str):
self.filename = filename
self.file = None
def __enter__(self):
self.file = open(self.filename, 'r')
return self.file
def __exit__(self, exc_type, exc_val, exc_tb):
if self.file:
self.file.close()
return False # Don't suppress exceptions
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.
- 3d ago First seen · 429 lines · 45 tokens per session scan A 1164126bda98
python-patterns is a skill published in the GitHub repository affaan-m/ECC (250,130 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 2,291 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
pypi-release
This skill should be used when releasing tunacode-cli to PyPI. It keeps the existing local release checks, then hands the actual PyPI upload to a GitHub Actions workflow that uses the repository's PYPIAPITOKEN secret.
accelerate
Run PyTorch training across GPUs with minimal changes.
jupyter-notebook
Iterative Python via live Jupyter kernel (hamelnb).
detect-framework
Detect Python agent frameworks from code imports and map them to Omnigent executor types. Load when the user has existing agent code to integrate.
codebase-architecture
Designs module contracts, deepens existing boundaries, and installs enforceable repository guardrails. Use when asked to "design the architecture", "simplify our modules", or "harden the repo". For one feature plan use planning; for diff cleanup use tidy; for tenancy use multi-tenant-architecture.
scaffold-cli
Scaffolds a TypeScript CLI and npm package with the house toolchain, dual tsdown outputs, CLI contracts, changesets, and publishing templates. Use when asked to "scaffold a CLI" or "start an npm package". For an existing package release use autoship; for existing API ergonomics use dx-audit.