Qlty Check
CheckedAnalyzes text for quality issues like grammar, style, and tone, ensuring polished and effective communication.
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 parcadei/continuous-claude-v3 --skill qlty-check -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
parcadei
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 parcadei/continuous-claude-v3 at d07ff4b06b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- d07ff4b06b
- Scanned
- 1 file, 94 lines
About this skill
The qlty-check skill enables AI agents to execute quality assurance checks within software development workflows. It integrates with the QLTY platform to validate code changes, ensuring they meet predefined standards before deployment. This capability streamlines the CI/CD pipeline by automating rigorous testing and reporting processes.
When to use it
- Trigger automated validation immediately after a pull request is created to catch issues early.
- Integrate into continuous integration pipelines to enforce quality gates before merging code.
- Generate detailed reports on code health, security vulnerabilities, and performance metrics.
- Verify that new features adhere to specific architectural or style guidelines defined in the repository.
Key capabilities
- Executes comprehensive static analysis on codebases.
- Provides actionable feedback on potential bugs and security risks.
- Supports integration with various version control systems for seamless workflow automation.
- Delivers structured reports detailing the results of quality checks.
Example prompts
- "Run a full qlty-check on the latest changes in the
feature/user-authbranch." - "Generate a summary report of the recent qlty-check results and highlight any critical failures."
- "Configure qlty-check to enforce new security standards before allowing any code to be merged."
Tips & gotchas
Ensure your repository has QLTY properly configured with relevant rulesets before relying on this skill for validation. While the skill automates checks, it should complement, not replace, manual code reviews for complex logic.