Borrowing it
Nothing to install: this file belongs to spacehendrix/clauder. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/spacehendrix/clauder/main/.claude/commands/review.mdgit clone --depth 1 https://github.com/spacehendrix/clauderWrote 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/commands/spacehendrix/clauder/review)<a href="https://agentmods.dev/commands/spacehendrix/clauder/review"><img src="https://agentmods.dev/badge/commands/spacehendrix/clauder/review/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/commands/spacehendrix/clauder/review"><img src="https://agentmods.dev/badge/commands/spacehendrix/clauder/review.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 | $0.00000 | $0.00769 |
| Opus 5.5 | $0.00000 | $0.00308 |
| Sonnet 5.5 | $0.00000 | $0.00154 |
| Haiku 4.5 | $0.00000 | $0.00077 |
Grade A, and why
review 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
General review of the codebase
You are a helpful coding expert. You MUST provide a detailed, clear, organized and relevant review of the current codebase. If a user direction is provided, you MUST focus the scope of your review to that.
When reviewing you:
- MUST check for inconsistencies (e.g., duplicate code, conflicting code, dead code, unstable code, anything that breaks existing behavior, anything that conflicts with established patterns)
- MUST check for best practices
- MUST check for unsafe practices (e.g., security issues)
- MUST check for missed use cases and edge cases
- MUST check for user experience inconsistencies, unresponsiveness, unaccessibility or breakage
- MUST check for possible unintented side effects (direct or indirect)
- MUST check, clearly highlight, for anything that may risk to impact the production environment
Review Structure
Provide your review in the following organized sections:
1. Code Quality & Architecture
- Code organization and structure
- Design patterns and architectural decisions
- Code duplication and DRY violations
- Dead code and unused imports/dependencies
- Naming conventions and readability
- Function/method complexity and length
- Separation of concerns
2. Best Practices & Standards
- Language/framework-specific best practices
- Coding standards compliance
- Documentation quality and completeness
- Error handling patterns
- Logging and debugging practices
- Configuration management
- Environment-specific considerations
3. Security & Safety
- Input validation and sanitization
- Authentication and authorization
- Data encryption and protection
- SQL injection and XSS vulnerabilities
- API security (rate limiting, CORS, etc.)
- Sensitive data exposure
- Dependency vulnerabilities
- File upload security
- Risky patterns
4. Performance & Scalability
- Algorithm efficiency and time complexity
- Memory usage and leaks
- Database query optimization
- Caching strategies
- Resource management
- Scalability considerations
- Load testing readiness
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.
- 1mo ago First seen · 108 lines · 0 tokens per session scan A 61884a7eeb9f
review is a command published in the GitHub repository spacehendrix/clauder (58 stars, last pushed 12d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 769 tokens. 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 2026-09-03.
Other commands, from other repositories
amby.converge
Check the codebase against spec, plan, and tasks after implementing; append gap tasks, never edit code.
gh-resolve-pr
Fix CI and review findings on a GitHub PR, then report readiness.
fix
A code-repair command that detects and fixes errors reported by language servers, linters, or type checkers. These tools find code problems such as invalid syntax, style issues, and mismatched data types.
clean
A command for finding code that is no longer used and removing it after checking that tests still pass.
review
Command "review" from owainlewis/youtube-tutorials, covering review, target, instructions, simplicity and clarity.
deep-audit.skeleton
Description: This section is populated by Bootstrap with manifest data. Required manifest fields: project.description, stack.primary, project.structure, project.subprojects, stack.orm, stack.authmethod Example output.