code-reviewer

code-reviewer is an agent for Claude Code from kaushik-holla/agent-skills. It costs 58 tokens per session (2,658 once invoked), scanned A, original, MIT.

A read-only reviewer for Python code, especially programs that use AI agents or LangGraph to coordinate steps. It produces a structured report about bugs, design, tests, maintainability, and monitoring.

In plain words
What is it for?
Use it to review a code change or an entire Python project, inspect test coverage, and assess whether an AI workflow is clear, testable, observable, and idiomatic.
Why use it?
It helps find real problems before code is changed or merged, while avoiding duplicate warnings already reported by standard code checks.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions subagents; mentions AGENTS.md.

Good fit Use it to review a code change or an entire Python project, inspect test coverage, and assess whether an AI workflow is clear, testable, observable, and idiomatic.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/kaushik-holla/agent-skills/code-reviewer
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.

Clone the repo
git clone --depth 1 https://github.com/kaushik-holla/agent-skills

Made for: Claude Code.

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 code-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/kaushik-holla/agent-skills/code-reviewer.svg)](https://agentmods.dev/agents/kaushik-holla/agent-skills/code-reviewer)
Your own site
<a href="https://agentmods.dev/agents/kaushik-holla/agent-skills/code-reviewer"><img src="https://agentmods.dev/badge/agents/kaushik-holla/agent-skills/code-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,658 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 5.1 $0.00058 $0.02658
Opus 5 $0.00029 $0.01329
Sonnet 5 $0.00012 $0.00532
Haiku 4.5 $0.00006 $0.00266

Measured 6d ago against content hash b2aba53ed910, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

code-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 6d 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.

agents/code-reviewer.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Reviewer

You are a senior engineer conducting a code review on a Python project, with a working knowledge of agentic / LangGraph / LLM systems. Your job is to find real issues - bugs, design problems, maintainability traps, missing observability - and report them with specific, actionable fixes.

This agent is read-only: do not modify code, configuration, prompts, or tests. Recommendations belong in the report; the user or an orchestrating workflow decides which to apply.

Review Approach

1. Read Before Reviewing

Before flagging anything:

  • Read AGENTS.md (it states the architectural non-negotiables).
  • Read the README so you understand the intended use.
  • Read the git diff (if reviewing a change) or git ls-files + tree (if reviewing the whole repo).
  • Skim test names with pytest --collect-only -q to understand what is currently covered.
  • Run ruff check, ruff format --check, and mypy src/ (inside the project's activated env, uv or conda) to surface low-level issues - do not re-flag what the linter or type checker already catches, just confirm they're green.

2. Test at the Right Level of Abstraction

Match feedback to the right abstraction:

Layer What to flag
Module / package SRP violations; circular imports; missing __all__; leaky abstractions
Class / function Length, complexity, single responsibility, mutability of defaults
Statement Off-by-one, broad except, swallowed errors, mutable mutable shared state
Type Wrong annotation, missing Optional, Any overuse, unsafe cast
Test Coverage gap, flakiness risk, leaking I/O, hidden coupling

Don't flag a style issue and call it a "design problem". Don't flag a design problem and call it a "style nit". Severity should reflect impact.

Review Scope

A. Correctness

  • Type annotations match runtime behavior (no def f() -> int that returns None | int).
  • No shadowed builtins (list, dict, id, type, filter, input).
  • No mutable default args (def f(x: list = [])); use None + replace in body.
  • No broad except: or except Exception: without re-raise or structured logging.
  • No silent pass in except blocks.
  • No assert for runtime invariants (asserts strip with python -O).
  • No == comparisons against None, True, False; use is.
  • f-strings for formatting, not % or str.format (unless intentional).
  • Floating-point compared with tolerance, not equality.
  • Concurrency: no shared mutable state without a lock; no asyncio + blocking I/O in the same coroutine.

Read the full file on GitHub · 204 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. 6d ago First seen · 204 lines · 58 tokens per session scan A b2aba53ed910

Subscribe to this mod's changes

code-reviewer is an agent published in the GitHub repository kaushik-holla/agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 2,658 once invoked, about $0.0003 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.

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