TE

test-coverage-improver

Analyzes test coverage and helps implement missing tests for Python projects.

Install

mkdir -p .claude/skills/test-coverage-improver && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3415" && unzip -o skill.zip -d .claude/skills/test-coverage-improver && rm skill.zip

Installs to .claude/skills/test-coverage-improver

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.
214 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Runs code coverage suites
  • Generates coverage XML and HTML artifacts
  • Identifies low-coverage files and lines
  • Proposes targeted test scenarios
  • Verifies coverage improvements after implementation

How it works

It uses the `make coverage` command to collect execution data, analyzes the output for gaps, and proposes incremental test additions.

Inputs & outputs

You give it
Target coverage metric or improvement request
You get back
Coverage summary and test implementation proposal

When to use test-coverage-improver

  • Identify low-coverage files in Python repo
  • Generate test coverage HTML reports
  • Implement missing tests for public APIs

About this skill

Test Coverage Improver

Overview

Use this skill whenever coverage needs assessment or improvement (coverage regressions, failing thresholds, or user requests for stronger tests). It runs the coverage suite, analyzes results, highlights the biggest gaps, and prepares test additions while confirming with the user before changing code.

Quick Start

  1. From the repo root run make coverage to regenerate .coverage data and coverage.xml.
  2. Collect artifacts: .coverage and coverage.xml, plus the console output from coverage report -m for drill-downs.
  3. Summarize coverage: total percentages, lowest files, and uncovered lines/paths.
  4. Draft test ideas per file: scenario, behavior under test, expected outcome, and likely coverage gain.
  5. Ask the user for approval to implement the proposed tests; pause until they agree.
  6. After approval, write the tests in tests/, rerun make coverage, and then run $code-change-verification before marking work complete.

Workflow Details

  • Run coverage: Execute make coverage at repo root. Avoid watch flags and keep prior coverage artifacts only if comparing trends.
  • Parse summaries efficiently:
    • Prefer the console output from coverage report -m for file-level totals; fallback to coverage.xml for tooling or spreadsheets.
    • Use uv run coverage html to generate htmlcov/index.html if you need an interactive drill-down.
  • Prioritize targets:
    • Public APIs or shared utilities in src/agents/ before examples or docs.
    • Files with low statement coverage or newly added code at 0%.
    • Recent bug fixes or risky code paths (error handling, retries, timeouts, concurrency).
  • Design impactful tests:
    • Hit uncovered paths: error cases, boundary inputs, optional flags, and cancellation/timeouts.
    • Cover combinational logic rather than trivial happy paths.
    • Place tests under tests/ and avoid flaky async timing.
  • Coordinate with the user: Present a numbered, concise list of proposed test additions and expected coverage gains. Ask explicitly before editing code or fixtures.
  • After implementation: Rerun coverage, report the updated summary, and note any remaining low-coverage areas.

Notes

  • Keep any added comments or code in English.
  • Do not create scripts/, references/, or assets/ unless needed later.
  • If coverage artifacts are missing or stale, rerun pnpm test:coverage instead of guessing.

When not to use it

  • Non-Python projects
  • When the user has provided specific test logic
  • Projects where coverage thresholds are not defined

Prerequisites

makecoveragePython environment

Limitations

  • Does not replace human intuition for edge case design
  • Dependent on valid 'make' configuration
  • May require manual approval for each test proposal

How it compares

It focuses on high-impact code paths rather than simple quantity of tests.

Compared to similar skills

test-coverage-improver side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
test-coverage-improver (this skill)14moNo flagsIntermediate
adk-engineer327dReviewAdvanced
unit-testing-test-generate24moReviewIntermediate
playwright-roll22moReviewAdvanced

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