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.
npx agentmods add commands/gokulkrishh/.cursor/code-reviewgit clone --depth 1 https://github.com/gokulkrishh/.cursorWhat 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 | $0.00000 | $0.00394 |
| Opus 5 | $0.00000 | $0.00197 |
| Sonnet 5 | $0.00000 | $0.00079 |
| Haiku 4.5 | $0.00000 | $0.00039 |
Grade A, and why
code-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 2d 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.
This is a copy
94% identical to code-review — 39 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review on @branch
Overview
Perform a thorough code review that verifies functionality, maintainability, and security before approving a change. Focus on architecture, readability, performance implications, and provide actionable suggestions for improvement.
Steps
- Understand the change
- Read the PR description and related issues for context
- Identify the scope of files and features impacted
- Note any assumptions or questions to clarify with the author
- Validate functionality
- Confirm the code delivers the intended behavior
- Exercise edge cases or guard conditions mentally or by running locally
- Check error handling paths and logging for clarity
- Assess quality
- Ensure functions are focused, names are descriptive, and code is readable
- Watch for duplication, dead code, or missing tests
- Verify documentation and comments reflect the latest changes
- Review security and risk
- Look for injection points, insecure defaults, or missing validation
- Confirm secrets or credentials are not exposed
- Evaluate performance or scalability impacts of the change
Review Checklist
Functionality
- Intended behavior works and matches requirements
- Edge cases handled gracefully
- Error handling is appropriate and informative
Code Quality
- Code structure is clear and maintainable
- No unnecessary duplication or dead code
- Tests/documentation updated as needed
Security & Safety
- No obvious security vulnerabilities introduced
- Inputs validated and outputs sanitized
- Sensitive data handled correctly
Additional Review Notes
- Architecture and design decisions considered
- Performance bottlenecks or regressions assessed
- Coding standards and best practices followed
- Resource management, error handling, and logging reviewed
- Suggested alternatives, additional test cases, or documentation updates captured
Provide constructive feedback with concrete examples and actionable guidance for the author.
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.
- 2d ago First seen · 59 lines · 0 tokens per session scan A 8f9809c8aea3
code-review is a command published in the GitHub repository gokulkrishh/.cursor (3 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 394 tokens. A static security scan graded it A with 0 findings. It is 94% identical to code-review, differing in 39 lines, and is treated as a copy.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.