Performance Testing
CheckedHelps with performance optimization, testing as part of testing, debugging, and quality assurance workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add facioquo/stock-indicators-dotnet --skill performance-testing -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
daveskender
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned daveskender/stock.indicators at ae1f432eaa.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- ae1f432eaa
- Scanned
- 2 files, 266 lines
About this skill
What it does
This skill allows AI agents to generate performance testing scripts for web applications. It can create load tests, stress tests, and endurance tests based on user-defined parameters like number of users, test duration, and request types. The generated scripts are designed to simulate real-world user behavior and identify potential bottlenecks in the application's infrastructure.
When to use it
- Before a major release: Generate load tests to ensure the application can handle anticipated traffic spikes.
- After code changes impacting performance: Create targeted stress tests to verify that optimizations have had the desired effect.
- To proactively identify bottlenecks: Regularly run endurance tests to detect memory leaks or other long-term performance degradation.
- For automated regression testing: Integrate performance testing into your CI/CD pipeline to catch regressions early.
Key capabilities
- Generates load test scripts
- Creates stress test scripts
- Produces endurance test scripts
- Configurable user count
- Adjustable test duration
- Supports various request types
Example prompts
- "Generate a load test script for my e-commerce site with 100 concurrent users for 5 minutes."
- "Create a stress test to see how many users my API can handle before it fails."
- “Develop an endurance test that runs for one hour, simulating typical user activity.”
Tips & gotchas
The quality of the generated scripts depends on accurate information about your application's endpoints and expected usage patterns. Ensure you provide clear and specific instructions to achieve optimal results.