Platform Testing
ListedAutomates platform compatibility tests across diverse devices & browsers, identifying bugs and ensuring consistent user experience.
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 ravnhq/ai-toolkit --skill platform-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
ravnhq
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.resend.com.
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.
Hosts contacted
api.resend.comundeclaredWhat it found
- .claude-plugin/plugins/platform-testing/skills/platform-testing/rules/mock-boundaries-not-internals.md:38contacts api.resend.com
http.post('https://api.resend.com/emails', () => { - skills/testing/platform-testing/rules/mock-boundaries-not-internals.md:38contacts api.resend.com
http.post('https://api.resend.com/emails', () => {
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 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 ravnhq/ai-toolkit at e6237ae66e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e6237ae66e
- Scanned
- 10 files, 664 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill allows AI agents to perform automated testing across various platforms. It can execute test scripts, analyze results, and generate reports to identify potential issues or regressions in software deployments. The platform-testing skill aims to streamline the quality assurance process by automating repetitive tasks and providing detailed feedback on application performance.
When to use it
- Automated Regression Testing: After code changes or updates, automatically run tests across different environments to ensure existing functionality remains intact.
- Cross-Platform Compatibility Checks: Verify that an application functions correctly on various operating systems (Windows, macOS, Linux) and browser versions.
- Performance Monitoring: Regularly assess the speed and responsiveness of a platform under simulated user load.
- Pre-Release Validation: Before launching new features or updates, conduct automated tests to catch any critical bugs or performance bottlenecks.
Key capabilities
- Automated test execution
- Cross-platform testing support
- Result analysis
- Report generation
Example prompts
- "Run the regression test suite on Windows 10."
- "Test application responsiveness under a load of 50 concurrent users."
- "Generate a report detailing browser compatibility issues for version 2.3."
Tips & gotchas
The skill requires properly configured testing environments and scripts to function effectively. Ensure that the AI agent has appropriate access permissions to execute tests on target platforms.