Codecov 覆盖率跟踪器 是做什么的?
使用 Codecov API v2 的 /repos/{owner}/{repo}/commits 端点监控测试覆盖率趋势,比较分支覆盖率与基准,生成差异覆盖率报告,并通过 GitHub REST API 在 PR 评论中标记未测试的代码路径。
安装
来自上游的要求和注意事项:
- Shell、Node、Ruby、PHP、Python
基本使用或入门说明:
-
点击“试用”即可发起请求并在此处查看响应!或者选择一个示例:
使用 Codecov API v2 的 /repos/{owner}/{repo}/commits 端点监控测试覆盖率趋势,比较分支覆盖率与基准,生成差异覆盖率报告,并通过 GitHub REST API 在 PR 评论中标记未测试的代码路径。
该技能通过调用 Codecov API v2 的 /repos/{owner}/{repo}/commits 端点,自动获取并分析代码仓库的测试覆盖率趋势。它能对比当前分支与基准分支的覆盖率变化,生成详细的差异覆盖率报告,帮助开发者快速了解新增或修改的代码是否被充分测试。此外,技能还会通过 GitHub REST API 在拉取请求(PR)中自动添加评论,明确指出未被覆盖的代码路径,从而在代码审查阶段尽早发现测试缺口。该技能目前支持大多数现代开发环境(如 Shell、Node、Ruby、PHP、Python),并可直接从 Codecov 官方文档中获取最新示例。适用于任何使用 Codecov 进行代码覆盖率管理的团队,尤其适合希望将覆盖率检查集成到 CI/CD 流程中的开发者。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/codecov-coverage-tracker-skill使用 Codecov API v2 的 /repos/{owner}/{repo}/commits 端点监控测试覆盖率趋势,比较分支覆盖率与基准,生成差异覆盖率报告,并通过 GitHub REST API 在 PR 评论中标记未测试的代码路径。
来自上游的要求和注意事项:
基本使用或入门说明:
点击“试用”即可发起请求并在此处查看响应!或者选择一个示例:
This repo contains 20 individual skills — each has its own dedicated page.
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An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
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Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
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Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
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Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
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Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
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Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.