Qe Database Testing
CheckedHelps with database, testing as part of working with databases and data persistence 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 proffesor-for-testing/agentic-qe --skill qe-database-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
proffesor-for-testing
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 proffesor-for-testing/agentic-qe at 124d8c735e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 124d8c735e
- Scanned
- 1 file, 223 lines
About this skill
What it does
This skill automates database testing, allowing AI agents to execute SQL queries and validate results against expected outcomes. It can generate test data, perform various validation checks (e.g., row counts, data type verification), and identify discrepancies between actual and expected database states. The tool aims to improve the efficiency and accuracy of quality assurance processes for databases.
When to use it
- Automated Regression Testing: Run a suite of tests after code changes or database schema updates to ensure functionality remains intact.
- Data Migration Validation: Verify data integrity during migration from one database system to another.
- Performance Testing: Assess the performance of database queries and identify potential bottlenecks.
- Sanity Checks After Deployment: Quickly confirm critical database functions are working correctly after a new deployment.
Key capabilities
- SQL query execution
- Data validation against expected results
- Test data generation
- Row count verification
- Data type validation
Example prompts
- "Run the 'customer_data_validation' test suite and report any failures."
- "Generate 100 rows of sample order data for testing purposes."
- "Execute the query to check if all product prices are within the expected range."
Tips & gotchas
The skill requires access credentials to the target database. Ensure appropriate permissions are configured before running tests, and be mindful of potential impact on production environments when generating test data.