check-coverage

Run test coverage measurement, analyze results, and fix gaps when coverage falls below the 80% threshold.

16 stars

Best use case

check-coverage is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Run test coverage measurement, analyze results, and fix gaps when coverage falls below the 80% threshold.

Teams using check-coverage should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/check-coverage/SKILL.md --create-dirs "https://raw.githubusercontent.com/JetBrains/databao-cli/main/.claude/skills/check-coverage/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/check-coverage/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How check-coverage Compares

Feature / Agentcheck-coverageStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Run test coverage measurement, analyze results, and fix gaps when coverage falls below the 80% threshold.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Check Coverage

## Steps

### 1. Run `make test-cov-check`

If tests pass and coverage >= 80%, done.

### 2. If tests fail

- **Existing tests broke**: fix production code, not tests.
- **New tests fail**: fix the test.
- **Ambiguous**: read test intent. If behavior intentionally changed, update
  test and document in commit message.

### 3. If coverage below 80%

Check "Missing" column. Prioritize:
1. New code you just wrote (must have tests).
2. Critical paths (error handling, validation, CLI logic).
3. Utility functions with clear contracts.

Do NOT: add trivial tests just to raise numbers, add `# pragma: no cover`
without justification, or test third-party/Streamlit internals.

### 4. Write tests

Add to `tests/test_<module>.py`. Use `project_layout` fixture when needed.
One behavior per test function.

### 5. Re-run `make test-cov-check`

Repeat until threshold met.

### 6. HTML report (optional)

`make test-cov` -- opens `htmlcov/index.html`.

## Failure handling

- Missing `pytest-cov`: run `uv sync --dev`.
- Uncoverable lines (platform-specific, external calls): add
  `# pragma: no cover` with reason, note in commit message.

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