发现最适合你需求的 AI 技能
Run a comprehensive local security scan on your OpenClaw installation. Checks config, network exposure, credentials, OS hardening, and agent guardrails. Scores your setup and offers auto-fixes. Everything stays local — no data leaves your machine.
基于 ZAST.AI 安全手册的 OpenClaw 安全审计与加固技能。运行全面安全诊断(内置 audit + 手册补充项),生成结构化报告,提供交互式修复引导,支持定时审计调度。触发场景:安全审计、安全加固、漏洞检查、security audit、hardening、暴露检查。
Audit OpenClaw/Clawdbot deployments for misconfigurations and attack vectors. Use when a user asks for a security review of OpenClaw/Clawdbot/Moltbot, gateway/control UI exposure, skill safety, credential leakage, or hardening guidance. Produces a terminal report with OK/VULNERABLE findings and fixes.
Record browser, Excel, Word & API actions once — replay without the LLM: faster, cheaper, no hallucinations. github.com/laziobird/openclaw-rpa . Supports computer-use automation: web clicks/fill/extract, local Excel (.xlsx via openpyxl), Word (.docx via python-docx), HTTP API calls (httpx GET/POST), and auto-login cookie reuse. · Triggers: #rpa #RPA #rpa-api #rpa-login #rpa-login-done #rpa-autologin #rpa-autologin-list #rpa-list #rpa-run #rpa-help
|
基于 FreshRSS 的漏斗式阅读流总技能:从未读抓取、昨天窗口切片、Digest 构建,到固定 6 栏 Daily Review 和后续知识沉淀。用于需要把聚合信息流加工成可读日报与可复用知识资产的场景。
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version focused on core proactive capabilities.
OpenClaw Plugin Development Guide. For creating OpenClaw plugins, including hook mechanisms, logging, configuration management, etc. Trigger words: develop plugin, create plugin, plugin development, llm_input hook, llm_output hook, wrapStreamFn.
PC控制工具,远程操控Windows电脑。当需要操作主人电脑时使用,如截屏、键鼠控制、文件操作、进程管理、浏览器自动化、Shell命令执行等。触发词:控制电脑、操作PC、截图、键盘、鼠标、文件管理、浏览器。
Audit and optimize OpenClaw token usage, cron job efficiency, and agent performance. Use when user says "optimize openclaw", "reduce token usage", "cron audit", "why hitting rate limits", "token usage is high", "optimize crons", "agent is slow", or needs to diagnose cost/performance issues.
Set up local semantic memory search in OpenClaw using Ollama + nomic-embed-text. Free, private, offline-capable. Replaces cloud embedding APIs (OpenAI, Gemini) with a locally-running model. Trigger phrases: ollama memory, local embeddings, private memory search, offline memory, free embeddings, nomic-embed-text.
|