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 oborchers/fractional-cto --skill python-pedantrygit clone --depth 1 https://github.com/oborchers/fractional-ctoWrote 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/oborchers/fractional-cto/python-pedantry)<a href="https://agentmods.dev/skills/oborchers/fractional-cto/python-pedantry"><img src="https://agentmods.dev/badge/skills/oborchers/fractional-cto/python-pedantry/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/oborchers/fractional-cto/python-pedantry"><img src="https://agentmods.dev/badge/skills/oborchers/fractional-cto/python-pedantry.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00079 | $0.03696 |
| Opus 5.5 | $0.00032 | $0.01478 |
| Sonnet 5.5 | $0.00016 | $0.00739 |
| Haiku 4.5 | $0.00008 | $0.00370 |
Grade A, and why
python-pedantry 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 5d 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 — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Has Opinions -- Follow Them
Python is not a language that tolerates sloppiness gracefully. It has a style guide (PEP 8). It has type hints (PEP 484, 604, 612). It has modern syntax that makes legacy patterns inexcusable. If you are writing Python in 2024+ and your code looks like it was written in 2018, you are not being "compatible" -- you are being lazy. Modern Python is expressive, precise, and strict. Write it that way.
Modern Type Syntax: No Legacy Imports
Python 3.10+ supports union types with | and builtin generics. There is zero reason to import Optional, List, Dict, Tuple, Set, or Union from typing for type annotations. These legacy forms are visual clutter that signal the author has not updated their knowledge.
| Legacy (Do Not Use) | Modern (Use This) |
|---|---|
Optional[str] |
str | None |
Union[str, int] |
str | int |
List[str] |
list[str] |
Dict[str, Any] |
dict[str, Any] |
Tuple[int, ...] |
tuple[int, ...] |
Set[str] |
set[str] |
FrozenSet[int] |
frozenset[int] |
Type[MyClass] |
type[MyClass] |
# BAD -- legacy typing imports
from typing import Optional, List, Dict, Tuple, Union
def fetch_users(
org_id: str,
limit: Optional[int] = None,
) -> List[Dict[str, Union[str, int]]]:
...
# GOOD -- modern syntax, no unnecessary imports
def fetch_users(
org_id: str,
limit: int | None = None,
) -> list[dict[str, str | int]]:
...
The typing module is still needed for advanced types: TypeVar, Generic, Protocol, Literal, TypedDict, Annotated, ClassVar, Final, ParamSpec. Only these warrant a typing import. Ruff rule UP006 and UP007 enforce this automatically.
ClassVar for Class-Level Attributes
Class attributes that belong to the class itself (not instances) must be annotated with ClassVar. This makes the intent explicit and prevents accidental instance-level shadowing.
What ships with it
2 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.
- 5d ago First seen · 410 lines · 79 tokens per session scan A e5703e5156ae
python-pedantry is a skill published in the GitHub repository oborchers/fractional-cto (32 stars, last pushed 5d ago), licensed MIT. It adds 79 tokens to every session and 3,696 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-13.
Other skills, from other repositories
matlab
Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
pennylane
Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiskit or cirq; for…
rocm-kernels
Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline…
holoscan-install-wheel
Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.
typing-exclusion-worker
Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.
python
Python development with ruff, mypy, pytest - TDD and type safety.