python-reviewer

python-reviewer is an agent for coding agents from dangindev/antigravity-awesome-workspace-skill. It costs 43 tokens per session (811 once invoked), scanned A, original, no licence file.

A tool for reviewing Python code against common style rules, clear Python conventions, type annotations, security practices, and performance concerns. Python is a programming language.

In plain words
What is it for?
Use it when making changes to Python projects or checking Python code before it is merged.
Why use it?
It helps identify code that is harder to maintain, unsafe, slower than necessary, or inconsistent with common Python practices.

Agent

Part of the agent-skills plugin — 34 skills, 7 commands, 16 agents shipped together

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/dangindev/antigravity-awesome-workspace-skill/python-reviewer
Clone the repo
git clone --depth 1 https://github.com/dangindev/antigravity-awesome-workspace-skill

Or install agent-skills, the plugin that ships this one along with the rest of its 34 skills, 7 commands, 16 agents.

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/dangindev/antigravity-awesome-workspace-skill/python-reviewer.svg)](https://agentmods.dev/agents/dangindev/antigravity-awesome-workspace-skill/python-reviewer)
Your own site
<a href="https://agentmods.dev/agents/dangindev/antigravity-awesome-workspace-skill/python-reviewer"><img src="https://agentmods.dev/badge/agents/dangindev/antigravity-awesome-workspace-skill/python-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 811 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 $0.00043 $0.00811
Opus 5 $0.00022 $0.00405
Sonnet 5 $0.00009 $0.00162
Haiku 4.5 $0.00004 $0.00081

Measured 3d ago against content hash d50ee94dff51, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-reviewer 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.

.kiro/agents/python-reviewer.md · 100 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 3d ago First seen · 100 lines · 43 tokens per session scan A d50ee94dff51

Subscribe to this mod's changes

python-reviewer is an agent published in the GitHub repository dangindev/antigravity-awesome-workspace-skill (10 stars, last pushed 4mo ago), with no licence file. It adds 43 tokens to every session and 811 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 2026-08-31.

Related

Other agents, from other repositories

spec-compliance-reviewer

Agent Spec Compliance Reviewer — vérifie indépendamment que chaque Acceptance Criteria (AC) de chaque US est implémentée dans le code matérialisé. Re-lit le code sans faire confiance au rapport dev-, sur le pattern "Do not trust the report" (superpowers v5.1). Produit spec-compliance.{md,json} avec verdict 🟢/🟡/🔴…

zekiriabd/SDD-Pro · 104 tokens

code-quality-reviewer

Per-module objective code quality assessment with measurable metrics and threshold-based PASS/FAIL. Produces reviews/phase-6-review/code-review.md. Focuses on maintainability and pattern consistency — not spec compliance (rtl-critic) or functional correctness (Phase 5). (Opus).

babyworm/rtl-agent-team · 62 tokens

audit-geo

Evaluates AI crawler access, llms.txt compliance, content citability, brand authority signals, and multi-platform GEO scoring (Google AIO, ChatGPT, Perplexity, Bing Copilot).

XuanRanL/loamwright-SEO-Skill · 44 tokens

ui-visual-validator

Rigorous visual validation expert specializing in UI testing, design system compliance, and accessibility verification. Masters screenshot analysis, visual regression testing, and component validation. Use PROACTIVELY to verify UI modifications have achieved their intended goals through comprehensive visual analysis.

Dicklesworthstone/pi_agent_rust · 54 tokens

archimedes

专利主编排器,协调全流程并管理头脑风暴路径.

illusionaireal/oh-my-patent · 21 tokens

patent-disclosure-reviewer

审核法律合规性和撰写质量.

illusionaireal/oh-my-patent · 17 tokens