Prompt Regression Tester
CheckedThis tool analyzes prompts for consistency across different AI model versions, ensuring reliable results and minimizing unexpected behavior during regression testing.
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 patricio0312rev/skills --skill prompt-regression-tester -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
patricio0312rev
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 patricio0312rev/skills at 79ea6af485.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79ea6af485
- Scanned
- 1 file, 205 lines
About this skill
The prompt-regression-tester skill automates the validation of AI model updates by comparing new outputs against a baseline to detect performance degradation or unintended behavior shifts. It systematically runs predefined test cases on both historical and current models to ensure stability during iterative development cycles.
When to use it
- Validate API endpoint responses after deploying a new LLM version to catch subtle logic errors.
- Monitor chatbot conversational quality over time to identify drift in tone or factual accuracy.
- Verify that code generation tasks still meet specific formatting or functional requirements post-update.
- Run automated regression suites before releasing major model fine-tunes to production environments.
Key capabilities
- Executes a suite of static and dynamic prompts against multiple model versions simultaneously.
- Generates structured comparison reports highlighting differences in output quality, latency, or accuracy.
- Flags anomalies where new outputs deviate significantly from established baseline performance metrics.
Example prompts
"Run the regression test suite on the latest model version using our standard 50-question legal Q&A benchmark." "Compare the output of the updated customer support bot against the previous stable release for consistency in tone and policy adherence." "Execute a code generation regression test to ensure the new model still produces valid Python syntax for data processing scripts."
Tips & gotchas
Ensure you have a reliable baseline dataset stored before initiating any regression testing workflow. Limit initial test suites to critical use cases to avoid excessive token consumption during early validation phases.