test-coverage-improver
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.
Install
mkdir -p .claude/skills/test-coverage-improver && curl -L -o skill.zip "https://mcp.directory/api/skills/download/3415" && unzip -o skill.zip -d .claude/skills/test-coverage-improver && rm skill.zipInstalls to .claude/skills/test-coverage-improver
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
- From the repo root run
make coverageto regenerate.coveragedata andcoverage.xml. - Collect artifacts:
.coverageandcoverage.xml, plus the console output fromcoverage report -mfor drill-downs. - Summarize coverage: total percentages, lowest files, and uncovered lines/paths.
- Draft test ideas per file: scenario, behavior under test, expected outcome, and likely coverage gain.
- Ask the user for approval to implement the proposed tests; pause until they agree.
- After approval, write the tests in
tests/, rerunmake coverage, and then run$code-change-verificationbefore marking work complete.
Workflow Details
- Run coverage: Execute
make coverageat repo root. Avoid watch flags and keep prior coverage artifacts only if comparing trends. - Parse summaries efficiently:
- Prefer the console output from
coverage report -mfor file-level totals; fallback tocoverage.xmlfor tooling or spreadsheets. - Use
uv run coverage htmlto generatehtmlcov/index.htmlif you need an interactive drill-down.
- Prefer the console output from
- 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).
- Public APIs or shared utilities in
- 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/, orassets/unless needed later. - If coverage artifacts are missing or stale, rerun
pnpm test:coverageinstead of guessing.
More by openai
View all skills by openai →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversAI Agent Template MCP Server boosts AI coding agents with zero hallucinations, secure AI code generation, high test cove
Enhance software testing with Playwright MCP: Fast, reliable browser automation, an innovative alternative to Selenium s
Advanced MCP server enabling AI agents to autonomously run 150+ security and penetration testing tools. Covers reconnais
By Sentry. MCP server and CLI that provides tools for AI agents working on iOS and macOS Xcode projects. Build, test, li
Mobile Next offers fast, seamless mobile automation for iOS and Android. Automate apps, extract data, and simplify mobil
Unlock powerful text to speech and AI voice generator tools with ElevenLabs. Create, clone, and customize speech easily.
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.