1231qaz2wsx/skill-safe-install-l0-strict/SKILL.md
Strict secure-install workflow for ClawHub/OpenClaw skills. Use when asked to install a skill safely, inspect skill permissions, review third-party skill risk, or run a pre-install security audit. Enforce full review + sandbox + explicit consent gates, with no author-based trust bypass.
npx skillsauth add openclaw/skills skill-safe-install-l0-strictInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Enforce a conservative, auditable install workflow.
Use this skill to reduce accidental or risky third-party skill installs:
openclaw.json) without explicit user consent in the current conversation.Suggested checks:
clawhub search <query>skills.allowBundled).Suggested checks:
clawhub list~/.openclaw/openclaw.json (or platform-equivalent config path)Run inspect and summarize at least:
Suggested check:
clawhub inspect <skill>Install in a temporary isolated directory first.
Example pattern:
clawhub --workdir <temp_dir> --dir skills install <skill>Before formal install, present:
Proceed only after explicit “yes/install/继续”.
Run formal install only after Step 4 consent.
Example:
clawhub install <skill>If install fails, stop and report error + rollback advice.
allowBundled)Default is do not write trust list.
Only perform this step when user explicitly asks to persist trust.
Required safeguards:
skills.allowBundled).Do not use hidden or implicit trust writes.
[Step 0/6] Target: ...[Step 1/6] State: ...[Step 2/6] Review: risk=LOW|MEDIUM|HIGH|CRITICAL; findings=...[Step 3/6] Sandbox: pass|fail[Step 4/6] Consent: pending|approved|denied[Step 5/6] Install: pass|fail[Step 6/6] Trust write: skipped|pending|writtenStop and ask for confirmation/override when any condition is met:
tools
Use when the user wants to connect to, test, or use the McDonalds service at mcp.mcd.cn, including checking authentication, probing MCP endpoints, listing tools, or calling McDonalds MCP tools through a reusable local CLI.
development
Web scraping platform — Twitter/X data, Vinted marketplace, and general web scraping API
development
SlowMist AI Agent Security Review — comprehensive security framework for skills, repositories, URLs, on-chain addresses, and products (Claude Code version)
data-ai
去除中文文本中的 AI 写作痕迹,使其读起来自然。基于维基百科 AI 写作特征指南,检测 24 种 AI 模式。触发词:humanizer-cn、去除 AI 痕迹、去除 AI 写作痕迹、中文文本人性化。