create-verification-skill
GitHub指导AI创建针对特定应用或项目的验证技能,通过检查启动命令、健康检查和用户工作流,生成包含启动、诊断、驱动及清理步骤的SKILL.md文件,确保可逆且安全。
Trigger Scenarios
Install
npx skills add milind-soni/OpenMausBot --skill create-verification-skill -g -y
SKILL.md
Frontmatter
{
"name": "create-verification-skill",
"description": "Create one skill that teaches a bot how to launch, drive, and verify a specific app or project. Use only when the user explicitly asks for a verification skill."
}
Create a verification skill
Create one compact, project-specific SKILL.md through skill_manage, which
shows the person every change with an Undo. Do not install skill files
directly or silently add scripts to the user's project.
1. Inspect before drafting
Use the tools already mounted on this bot to establish:
- the exact project or app being verified;
- its existing launch command and reliable ready signal;
- the safest available control surface: existing project CLI, browser, computer, phone, or shell;
- one read-only health check;
- up to three important user workflows and the observable result that proves each one worked;
- how to stop only the process or resource started by the verification run.
Prefer an existing control surface. If the project has no dependable way to launch or drive the relevant workflow, report that prerequisite instead of inventing commands, selectors, APIs, or a new control program.
2. Prove one workflow
Run the real launch, health check, one representative workflow, evidence capture, and cleanup once. Use an isolated test profile or temporary data when available; never drive the user's live data merely to author the skill. If the workflow cannot be proved with the tools currently mounted, stop and explain which capability is missing.
3. Draft one self-contained skill
The proposed SKILL.md must contain YAML frontmatter and these sections:
- Launch — exact command, isolated data/profile, ready signal.
- Doctor — one read-only check with an actionable failure message.
- Drive — stable names, accessibility targets, routes, refs, or commands; never recorded screen coordinates.
- Evidence — action plus resulting state and any important side effect.
- Cleanup — stop only what this run started; preserve the evidence.
- Feature map — at most three proven workflows, each with the user path, control recipe, success proof, and known gotcha.
- Maintenance — re-run Doctor and the affected workflow when the app changes; update drifted instructions but never hide a product failure.
Keep it concise. Evidence about the user path is input to the draft—not permission to retain secrets, audio, screenshots, or coordinates.
4. Save it
Call skills_list first. If an existing skill already covers the project,
report that and do not overwrite it. Otherwise call skill_manage with
action="create", the complete skill_md, a short gist, and the exact
source used (repository path, URL, or conversation).
Read the skill_manage result. If it applied, tell the user the skill's name,
that it is on, and that they can undo it from the chat. Only if it is pending,
tell them it stays inactive until they decide on the in-app card. Never claim
it was enabled without an applied result.
Version History
-
62a7b7a
Current 2026-10-18 17:49
更新技能管理逻辑,明确通过skill_manage工具创建技能,并引入Undo机制支持撤销操作,同时规范了技能保存和状态反馈流程。
-
4feae35
2026-09-11 15:00
移除了未完成的屏幕和语音录制功能(Recorder),简化了技能创作依赖,保留了通过 skill_manage 暂存技能提案的核心流程。
- a3d2870 2026-09-02 21:43


