BD claw-windows-automator
当用户想要**Windows自动化**、**自动打开CMD**、**在指定目录执行命令**、**运行bat脚本**、**GitHub自动下载最新版**、**一键下载仓库源码**、**桌面GUI自动化**、**pyautogui任务**、**全屏可视化提示**、**鼠标单击强制停止**、**输入法自动切换**、**项目初始化**、**批量部署**、**安全可靠的Windows Agent** 等需求时自动触发。 这是一个完整的高容错 Windows 桌面自动化技能，集成全屏半透明 Overlay 实时提示、鼠标左键一键强制终止、Windows API 智能英文输入法切换、CMD 自动打开与执行、GitHub 最新发布包智能下载等核心能力。 支持通过 CLI 统一入口调用 `cmd_task`（目录下自动打开 CMD 并执行命令）和 `github_download`（自动解析并下载 GitHub 最新源码 ZIP），所有操作均带详细日志、可视化进度和紧急停止机制，完全本地运行，无需额外配置。 【重要约束】仅处理 Windows 桌面自动化相关需求（CMD 执行、GitHub 下载、可视化提示等），其他类型任务（如音频处理、图片生成、网页爬取等）一律不触发此技能。 常见触发口语（越多越好）： - “帮我自动打开CMD执行命令” - “在 D:\project 目录下运行 pip install” - “下载 GitHub 这个仓库的最新版” - “Windows自动化 执行这个脚本” - “一键下载 GitHub 源码包” - “启动自动化任务并显示进度” - “鼠标点击就能停止的自动化” - “自动切换英文输入法跑命令” - “批量初始化项目文件夹” - “GitHub 下载最新发布包” - “打开命令提示符执行 bat” - “可视化 Windows 自动化” - “安全可靠的桌面自动化”
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 19 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 382 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 811: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -311 of 12 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 13 example trigger phrases
- +4Structure: 5 headings
- +3Step-by-step instructions: 19 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.