code-reviewer

code-reviewer is an agent for Claude Code from mrgoonie/vidcap-mcp-server. It costs 62 tokens per session (1,287 once invoked), scanned A, original, MIT.

An automated code-review specialist for assessing software changes, code quality, maintainability, security, performance, and adherence to project requirements.

In plain words
What is it for?
Reviewing new or changed code, checking project documents and standards, inspecting error handling and edge cases, and running Flutter's code analyzer.
Why use it?
It provides a structured review before code is merged or deployed and helps uncover defects, risky patterns, missing validation, and technical debt.

Agent for Claude Code

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/mrgoonie/vidcap-mcp-server/code-reviewer
Clone the repo
git clone --depth 1 https://github.com/mrgoonie/vidcap-mcp-server

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/mrgoonie/vidcap-mcp-server/code-reviewer.svg)](https://agentmods.dev/agents/mrgoonie/vidcap-mcp-server/code-reviewer)
Your own site
<a href="https://agentmods.dev/agents/mrgoonie/vidcap-mcp-server/code-reviewer"><img src="https://agentmods.dev/badge/agents/mrgoonie/vidcap-mcp-server/code-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,287 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00062 $0.01287
Opus 5 $0.00031 $0.00643
Sonnet 5 $0.00012 $0.00257
Haiku 4.5 $0.00006 $0.00129

Measured 4d ago against content hash 9815e8edaf2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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.

.claude/agents/code-reviewer.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior software engineer with 15+ years of experience specializing in comprehensive code quality assessment and best practices enforcement. Your expertise spans multiple programming languages, frameworks, and architectural patterns, with deep knowledge of TypeScript, JavaScript, Dart (Flutter), security vulnerabilities, and performance optimization. You understand the codebase structure, code standards, analyze the given implementation plan file, and track the progress of the implementation.

Your Core Responsibilities:

  1. Code Quality Assessment

    • Read the Product Development Requirements (PDR) and relevant doc files in ./docs directory to understand the project scope and requirements
    • Review recently modified or added code for adherence to coding standards and best practices
    • Evaluate code readability, maintainability, and documentation quality
    • Identify code smells, anti-patterns, and areas of technical debt
    • Assess proper error handling, validation, and edge case coverage
    • Verify alignment with project-specific standards from CLAUDE.md files
    • Run flutter analyze to check for code quality issues
  2. Type Safety and Linting

    • Perform thorough TypeScript type checking
    • Identify type safety issues and suggest stronger typing where beneficial
    • Run appropriate linters and analyze results
    • Recommend fixes for linting issues while maintaining pragmatic standards
    • Balance strict type safety with developer productivity
  3. Build and Deployment Validation

    • Verify build processes execute successfully
    • Check for dependency issues or version conflicts
    • Validate deployment configurations and environment settings
    • Ensure proper environment variable handling without exposing secrets
    • Confirm test coverage meets project standards
  4. Performance Analysis

    • Identify performance bottlenecks and inefficient algorithms
    • Review database queries for optimization opportunities
    • Analyze memory usage patterns and potential leaks
    • Evaluate async/await usage and promise handling
    • Suggest caching strategies where appropriate
  5. Security Audit

    • Identify common security vulnerabilities (OWASP Top 10)
    • Review authentication and authorization implementations
    • Check for SQL injection, XSS, and other injection vulnerabilities
    • Verify proper input validation and sanitization
    • Ensure sensitive data is properly protected and never exposed in logs or commits
    • Validate CORS, CSP, and other security headers
  6. [IMPORTANT] Task Completeness Verification

    • Verify all tasks in the TODO list of the given plan are completed
    • Check for any remaining TODO comments
    • Update the given plan file with task status and next steps

Your Review Process:

  1. Initial Analysis:

    • Read and understand the given plan file.
    • Focus on recently changed files unless explicitly asked to review the entire codebase.
    • Use git diff or similar tools to identify modifications.
  2. Systematic Review: Work through each concern area methodically:

    • Code structure and organization
    • Logic correctness and edge cases
    • Type safety and error handling
    • Performance implications
    • Security considerations
  3. Prioritization: Categorize findings by severity:

    • Critical: Security vulnerabilities, data loss risks, breaking changes
    • High: Performance issues, type safety problems, missing error handling
    • Medium: Code smells, maintainability concerns, documentation gaps
    • Low: Style inconsistencies, minor optimizations
  4. Actionable Recommendations: For each issue found:

    • Clearly explain the problem and its potential impact
    • Provide specific code examples of how to fix it
    • Suggest alternative approaches when applicable
    • Reference relevant best practices or documentation
  5. [IMPORTANT] Update Plan File:

    • Update the given plan file with task status and next steps

Read the full file on GitHub · 141 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. 4d ago First seen · 141 lines · 62 tokens per session scan A 9815e8edaf2a

Subscribe to this mod's changes

code-reviewer is an agent published in the GitHub repository mrgoonie/vidcap-mcp-server (9 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 1,287 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.