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OpenClaw
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Grok+17 agentsAdvanced Code Reviewer & Bug Fixer
Advanced code review and debugging agent for identifying logic flaws, security risks, and performance bottlenecks.
$19.99
Advanced Code Reviewer & Bug Fixer
Example session with this skill installed
Review this TypeScript function for concurrency issues and provide a fix:
async function updateBalance(userId: string, amount: number) {
const user = await db.users.find(userId);
user.balance += amount;
await db.users.save(user);
}
- Read your context and instructions
- Compiled the advanced code reviewer
I have analyzed the provided updateBalance function. It contains a critical concurrency defect.
Finding: Race Condition in Read-Modify-Write Cycle
| Attribute | Detail |
|---|---|
| Severity | High |
| Confidence | High |
| Location | updateBalance function |
| Impact | Data corruption / Lost updates to user balance |
Analysis
The current implementation fetches the user object, modifies the balance in application memory, and then saves it back. If two requests for the same userId occur simultaneously, they will both read the same initial balance, calculate their respective updates, and the last one to save will overwrite the other, leading to a "lost update" scenario.
Fix
Use an atomic database update to ensure the increment happens at the engine level, or implement optimistic locking.
async function updateBalance(userId: string, amount: number) {
// Use an atomic increment to prevent race conditions
await db.users.update(userId, {
balance: { increment: amount }
});
}
Regression Test
- Initialize a user with a balance of 100.
- Fire two concurrent calls to
updateBalance(userId, 50)usingPromise.all. - Expected: Final balance is 200.
- Actual (Original Code): Final balance is 150.
Next steps
- Verify if your database driver supports atomic increments (e.g., Prisma, Mongoose, or raw SQL
SET balance = balance + ?). - Review other financial or counter-based logic in the codebase for similar patterns.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Manual code reviews often miss subtle race conditions, security vulnerabilities, and N+1 query patterns. Traditional linters catch style issues but fail to detect logic flaws that lead to production outages.
What it does
- Identifies logic defects like off-by-one errors, broken state transitions, and null pointer risks.
- Conducts deep security audits for injection, unsafe deserialization, and cryptographic misuse.
- Analyzes performance bottlenecks including blocking I/O and unnecessary memory allocations.
- Generates targeted regression tests to reproduce and verify fixes for identified bugs.
Frameworks & tools
Supports TypeScript, JavaScript, Python, Go, Rust, Java, Kotlin, C/C++, and SQL. Specific patterns for React, Next.js, and backend API architectures.
Why this beats prompting it yourself
This skill follows a structured multi-mode engine that forces evidence-based reasoning rather than speculative guessing. It produces prioritized scorecards and regression tests that standard LLM prompts typically overlook.
Use cases
- Reviewing complex Pull Requests for hidden regressions and architectural violations.
- Debugging production stack traces to find the root cause and a safe remediation.
- Performing security-first audits on sensitive authentication or data handling logic.
- Identifying test gaps in critical business modules to improve reliability.
Known limitations
Cannot execute code or verify benchmarks in a live environment. Performance and security claims are based strictly on source analysis and supplied context.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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