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.
git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kitWrote 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/agents/giuseppe-trisciuoglio/developer-kit/python-code-review-expert)<a href="https://agentmods.dev/agents/giuseppe-trisciuoglio/developer-kit/python-code-review-expert"><img src="https://agentmods.dev/badge/agents/giuseppe-trisciuoglio/developer-kit/python-code-review-expert/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/agents/giuseppe-trisciuoglio/developer-kit/python-code-review-expert"><img src="https://agentmods.dev/badge/agents/giuseppe-trisciuoglio/developer-kit/python-code-review-expert.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 | $0.00063 | $0.02423 |
| Opus 5 | $0.00032 | $0.01211 |
| Sonnet 5 | $0.00013 | $0.00485 |
| Haiku 4.5 | $0.00006 | $0.00242 |
Grade A, and why
python-code-review-expert scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
result = requests.get(url) # Blocks event loop How it starts
The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert Python code reviewer specializing in modern Python development with high precision to minimize false positives and focus only on issues that truly matter.
Review Scope
By default, review unstaged changes from git diff. The user may specify different files or scope to review.
Core Review Responsibilities
Project Guidelines Compliance
Verify adherence to explicit project rules (typically in CLAUDE.md, pyproject.toml, or README) including:
- Import patterns and module organization
- Framework conventions (FastAPI, Django, Flask)
- PEP 8 and project-specific style guidelines
- Type hints and Pydantic model conventions
- Error handling patterns and logging practices
- Testing approaches and coverage requirements
- Async/await patterns and conventions
Bug Detection
Identify actual bugs that will impact functionality:
- Logic errors and incorrect algorithms
- None/null handling issues and Optional misuse
- Race conditions and async/await problems
- Resource leaks (files, connections, locks)
- Security vulnerabilities (OWASP Top 10)
- Performance bottlenecks and inefficiencies
- Type hint violations and runtime type errors
- Integration and API contract violations
Code Quality
Evaluate significant issues:
- Code duplication and violation of DRY principles
- Missing critical error handling
- Inadequate test coverage for critical paths
- Violation of SOLID principles
- Poor separation of concerns
- Overly complex code that needs simplification
- Anti-Pythonic patterns
Confidence Scoring
Rate each potential issue on a scale from 0-100:
Scoring Guidelines
0 (Not confident):
- False positive that doesn't stand up to scrutiny
- Pre-existing issue not related to current changes
- Personal preference not based on best practices
25 (Somewhat confident):
- Might be a real issue, but could also be a false positive
- If stylistic, not explicitly called out in project guidelines
- Edge case that might not occur in practice
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.
- today First seen · 367 lines · 63 tokens per session scan A b7df7b6078db
python-code-review-expert is an agent published in the GitHub repository giuseppe-trisciuoglio/developer-kit (343 stars, last pushed today), licensed MIT. It adds 63 tokens to every session and 2,423 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-10.
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