Test Coverage Improver

🏢Official
by openai · vlatest · Repository

Official openai skill covering OpenAI, testing for building AI and machine learning applications.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add openai-test-coverage-improver npx -- -y @trustedskills/openai-test-coverage-improver
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "openai-test-coverage-improver": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/openai-test-coverage-improver"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

The test-coverage-improver skill automatically analyzes codebases to identify untested areas and generates targeted unit tests to increase coverage metrics. It integrates directly with development workflows to ensure new features are validated before merging.

When to use it

  • Pre-commit safety: Run the agent before pushing code to catch missing edge cases in logic branches.
  • Legacy modernization: Generate test suites for older codebases that lack automated validation.
  • CI/CD optimization: Integrate into pipelines to automatically boost coverage thresholds without manual effort.
  • Regression prevention: Quickly add tests after refactoring existing functions to ensure behavior remains consistent.

Key capabilities

  • Scans source files to detect gaps in current test suites.
  • Writes executable unit tests tailored to specific language syntax.
  • Focuses on increasing percentage coverage of the codebase.

Example prompts

  • "Analyze my src/utils directory and write unit tests for any functions currently lacking coverage."
  • "Generate a comprehensive test suite for this new API endpoint to ensure 100% logic coverage."
  • "Identify complex conditional blocks in my codebase that are not covered by existing tests and create scenarios to validate them."

Tips & gotchas

Ensure your project has a supported testing framework installed (e.g., Jest, PyTest) before running the agent, as it generates code compatible with standard setups. While effective for increasing coverage numbers, always manually review generated tests to ensure they align with actual business logic requirements.

Tags

🛡️

TrustedSkills Verification

Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.

Security Audits

Gen Agent Trust HubPass
SocketPass
SnykPass

Details

Version
vlatest
License
Author
openai
Installs
34

🏢 Official

Published by the company or team that built the technology.