Skip to main content

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.

跳到安装

来源信息

仓库
TuYv/ccpm
最近来源活动
2026年6月28日 00:16
检测到的 SKILL.md 语言
英语
星标
1
分支
2

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

文件资源管理器
2 个文件

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
test-coverage-improver
description
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.
# 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.
在 GitHub 查看