Stress Testing
CheckedSimulates extreme user loads and data conditions to identify system vulnerabilities and performance bottlenecks.
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 aj-geddes/useful-ai-prompts --skill stress-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
aj-geddes
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Manifest
- skills/stress-testing/SKILL.md
- Scanned
- 9 files, 629 lines
About this skill
What it does
This skill simulates extreme user loads and data conditions to identify system vulnerabilities and performance bottlenecks. It uses k6, a load testing tool, to push systems beyond normal operating capacity, revealing breaking points, failure modes, and recovery behavior. The goal is to validate stability under stress and determine maximum capacity before degradation or failure occurs.
When to use it
- Finding system capacity limits
- Identifying breaking points in a system
- Testing auto-scaling behavior under load
- Validating error handling when the system experiences high traffic
- Planning future capacity requirements based on stress test results
- Verifying graceful degradation of service under extreme conditions
- Testing how the system handles sudden spikes in user activity
Key capabilities
- Simulates progressive load increases using k6.
- Defines stages for normal, above-normal, and breaking point loads.
- Monitors HTTP request duration and failure rates during testing.
- Allows setting thresholds for acceptable performance (e.g., 99% of requests under 1 second).
Example prompts
While this skill is code-based and doesn't directly respond to natural language, a user would configure the stress-test.js file with parameters relevant to their system. For example:
- "Configure the stress test to simulate 200 concurrent users for 5 minutes."
- "Adjust the HTTP request duration threshold to allow for slower response times during peak load."
- "Modify the script to target a specific API endpoint for stress testing."
Tips & gotchas
- This skill requires familiarity with k6 and JavaScript.
- The provided example uses
k6/http, so ensure this is compatible with your environment. - Carefully define load stages and thresholds based on the expected system behavior to avoid unintended consequences or inaccurate results.