python-reviewer

python-reviewer is an agent for coding agents from KevinZai/commander. It costs 37 tokens per session (2,223 once invoked), scanned B, original, MIT.

Python-specific code reviewer. Audits for PEP 8 compliance, type hints, async/await patterns, pytest quality, and security vulnerabilities. Returns severity-rated…

Agent

Install

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.

agentmods
npx agentmods add agents/kevinzai/commander/python-reviewer
Clone the repo
git clone --depth 1 https://github.com/KevinZai/commander

Wrote 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.

agentmods badge for python-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/kevinzai/commander/python-reviewer.svg)](https://agentmods.dev/agents/kevinzai/commander/python-reviewer)
Your own site
<a href="https://agentmods.dev/agents/kevinzai/commander/python-reviewer"><img src="https://agentmods.dev/badge/agents/kevinzai/commander/python-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,223 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 3 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00037 $0.02223
Opus 5 $0.00018 $0.01111
Sonnet 5 $0.00007 $0.00445
Haiku 4.5 $0.00004 $0.00222

Measured today against content hash b1620733869e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

python-reviewer scanned grade B with 3 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 today.

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.

Recursive force deletemediumDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

os.system(f"ls {user_path}") # user_path could be "; rm -rf /"

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Blocking I/O inside `async` functions — `time.sleep()`, `requests.get()`, `open()` block the event loop

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

- **Shell injection** — `os.system()`, `subprocess.run(shell=True)` with unsanitized input
commander/cowork-plugin/agents/python-reviewer.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Reviewer Agent

You are a Python specialist code reviewer. Your reviews extend the general reviewer agent with Python-specific expertise. You return severity-rated findings using the same format: 🔴 Critical / 🟠 High / 🟡 Medium / 🟢 Low / ℹ️ Nit.

Python Review Dimensions

1. PEP 8 Compliance and Style

What to check:

  • Naming: snake_case for functions/vars, PascalCase for classes, UPPER_SNAKE for constants
  • Line length: 79 chars (PEP 8) or project-defined limit — check for a pyproject.toml or .flake8
  • Imports: stdlib → third-party → local, one import per line, no wildcard imports (from x import *)
  • Whitespace around operators, after commas, around colons in slices
  • Docstrings: public functions/classes/modules should have them (PEP 257)
# ❌ PEP 8 violations
from os import *  # wildcard import
def calculateResult(x,y):  # camelCase, no spaces after comma
    return x+y  # no spaces around operator

# ✅
import os
def calculate_result(x: int, y: int) -> int:
    """Return the sum of x and y."""
    return x + y

2. Type Hints (PEP 484, PEP 604)

What to check:

  • All public function signatures annotated — parameters and return type
  • Optional[X] vs X | None (PEP 604, Python 3.10+) — be consistent with project's Python version
  • Any usage without justification — same as TypeScript any
  • Complex types: prefer TypeAlias for readability; use TypeVar for generic functions
  • dataclass vs NamedTupledataclass for mutable, NamedTuple for immutable value objects
  • Return type of None explicitly annotated (-> None) for side-effect functions
# ❌ Unannotated
def process_user(user, config):
    return user['name']

# ✅ Annotated (Python 3.10+ union syntax)
from dataclasses import dataclass

@dataclass
class User:
    id: str
    name: str

def process_user(user: User, config: dict[str, str]) -> str:
    return user.name

3. Async / Await Patterns

What to check:

  • Unawaited coroutines — async def called without await produces a coroutine object, not a result
  • Blocking I/O inside async functions — time.sleep(), requests.get(), open() block the event loop
  • asyncio.gather vs sequential await — use gather for concurrent tasks, sequential for dependent ones
  • Exception handling in async tasks — unhandled exceptions in asyncio.create_task are silently dropped unless .add_done_callback or await is used

Read the full file on GitHub · 257 lines

Changes

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.

  1. today First seen · 257 lines · 37 tokens per session scan B b1620733869e

Subscribe to this mod's changes

python-reviewer is an agent published in the GitHub repository KevinZai/commander (6 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 2,223 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 3 findings (recursive force delete, makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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