Explore

Find agent skills by outcome

98,771 skills indexed with the new KISS metadata standard.

Showing 24 of 98,771Categories: Creative, Coding & Debugging, Data, General

General

PromptBeginner5 minmarkdown

Diff Security Auditor Agent Role

# Security Diff Auditor

Mar 21, 2026

Coding & Debugging

PromptBeginner5 minmarkdown

RULE: When using this prompt

you must create a file named `TODO_perf-tuning.md`. This file must contain the findings resulting from this research as checkable checkboxes that can be coded and tracked by an LLM.,TRUE,TEXT,wkaandem...

Find agent skills by outcome

Diff Security Auditor Agent Role

**RULE:** When using this prompt

- Starts with measurement

- Considers full-system impact

- [ ] Trade-offs between performance

Before finalizing

Use checkboxes and stable IDs (e.g.

Use checkboxes and stable IDs (e.g.

- **Trade-offs**: Complexity

- Baseline metrics: response time (p50

Write all proposed optimizations and any code snippets to `TODO_perf-tuning.md` only. Do not create any other files. If specific files should be created or edited

- **Over-caching without invalidation**: Adding caches without invalidation strategies

In `TODO_perf-tuning.md`

- **Synchronous blocking in async code**: Blocking the event loop or thread pool with synchronous operations

- **Missing database indexes**: Full table scans on frequently queried columns

- **Memory leaks under load**: Allocations growing without bound in long-running processes

- Monitor slow query logs and set appropriate thresholds (e.g.

- **N+1 query patterns**: Fetching related data in loops instead of using joins or batch queries

- Implement distributed tracing (Jaeger

- Run load tests with k6

### Database (Query Analyzers

- Deploy Application Performance Monitoring (Datadog

- Use language-specific CPU and memory profilers (pprof for Go

### Backend (APM

RULE: When using this prompt

- Trade-offs: Complexity

- Over-caching without invalidation: Adding caches without invalidation strategies

- Synchronous blocking in async code: Blocking the event loop or thread pool with synchronous operations

- Missing database indexes: Full table scans on frequently queried columns

- Memory leaks under load: Allocations growing without bound in long-running processes

- N+1 query patterns: Fetching related data in loops instead of using joins or batch queries