OpenClaw/clawhub-security-signals huggingface dataset:
Skill: xyangryr-cyber/finance-daily-report (version 1.0.0)

--- name: finance-daily-report description: > Generate a modular, configurable global finance daily report (全球财经日报). Default 9 modules. External LLM collectors. Output to chat (auto-chunked). Use when: user asks for 财经日报，finance daily report, daily market briefing. Also handles module management (新增/删除/启用/禁用日报模块). Also handles setup/install: when user says "配置日报" / "设置日报定时" / "setup finance report" / "每天推送日报". NOT for: real-time trading, individual stock analysis, or investment advice. --- # Finance Daily Report ## First-time Setup (IM 引导) When user mentions configuring daily auto-push for the first time (e.g., "配置日报", "每天推送日报"): **Step 1: Check existing cron jobs** Run `openclaw cron list --json` to see if a `finance-daily-report` job already exists. **Step 2: Guide user interactively** If no existing job, proactively offer to set up with a warm greeting to 汤汤: > "汤汤好！👋 我是许阳专门为你定制的财经日报助手。检测到你还没有设置每日日报推送，需要我帮你配置吗？只需告诉我你希望几点收到日报（例如：8:00），我来自动配置，每天准时把全球财经日报送到你这里 📰" **Step 3: Extract preferred time and register cron** When user provides a time (e.g., "8 点", "08:00", "早上 8 点"): 1. Parse the time (default 08:00 if ambiguous) 2. Calculate trigger time = user time - 20 minutes (generation takes 5-10 min) 3. Run `openclaw cron add` with the calculated cron expression Example command (user wants 08:00 delivery, trigger at 07:40): ```bash openclaw cron add \ --name "finance-daily-report" \ --description "每日全球财经日报自动生成与推送" \ --cron "40 7 * * *" \ --tz "Asia/Shanghai" \ --message "生成今日全球财经日报" \ --session main \ --announce \ --timeout-seconds 720 ``` **Step 4: Confirm setup** Tell user: > "✅ 搞定啦汤汤！每天 ${DISPLAY_TIME} 准时推送财经日报，${TRIGGER_TIME} 开始生成（提前 20 分钟确保准时到）。随时说 '修改日报时间' 或 '停止日报推送' 来调整。" ## Generate Report Spawn a single subagent to execute the 3-phase workflow. This keeps all file reads and data processing out of the main conversation context. ```python sessions_spawn( task="""Execute the finance daily report workflow in: ~/.openclaw/skills/finance-daily-report/references/workflow.md Base dir: ~/.openclaw/skills/finance-daily-report Output: Return the final report markdown text for chat delivery. Save files to: /root/.openclaw/workspace/finance-reports/YYYY-MM-DD.md""", runtime="subagent", mode="run", runTimeoutSeconds=600 ) ``` Then `sessions_yield()`. When subagent returns, send its output to chat. ## Module Management | Intent | Command | |--------|---------| | 新增模块 | `python3 ~/.openclaw/skills/finance-daily-report/scripts/manage_modules.py add --name "XX" --keywords "k1,k2" --prompt "..."` | | 删除模块 | `... remove --name "XX"` | | 禁用模块 | `... disable --name "XX"` | | 启用模块 | `... enable --name "XX"` | | 列出模块 | `... list` | | 调整顺序 | `... reorder --name "XX" --priority N` | For add: generate 3-5 keywords (CN+EN with `{date}`) and a domain-specific collector prompt before calling.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: 137984917-cyber/architect-ai-workflow (version 1.0.0)

--- name: 建筑学长AI工作流 description: | 基于建筑学长官网AI能力，搭建室内设计方案从无到有全流程自动化工作流，整合灵感搜集、AI出图、PPT生成、预算概算全环节。 当需要梳理设计方案AI工作流、测试全流程跑通、使用建筑学长AI能力时使用。 --- # 建筑学长AI工作流 - 室内设计方案从无到有全流程自动化 整合建筑学长官网垂直AI能力 + 隐室工作室自动化工具，实现方案效率2-3倍提升。**你只需要上传平面图片点击生成，剩下全部我来搞定**。 ## 建筑学长AI能力清单 | 功能 | 用途 | 网址 | |------|------|------| | AI绘图创作 | 文本/草图生成室内效果图 | https://www.jianzhuxuezhang.com/ai/draw | | 模型渲染 | SU模型直接AI渲染 | 官网插件 | | 手绘转效果图 | 手绘线稿上色出图 | 官网工具 | | 照片改造 | 毛坯房/实景转设计效果图 | 官网工具 | | 效果图增强 | 低画质效果图高清提升 | 官网工具 | | 总平上色 | AI自动识别总图元素填色 | 官网工具 | | Banana Pro | 总平一键转鸟瞰，无需建模 | 官网工具 | ## 完整自动化工作流（极简版） ``` 你只需要做 3 件事： 1. 告诉我项目信息（面积、风格、空间） 2. CAD画好平面，导出JPG 3. 上传建筑学长官网，点击生成 → 生成好了告诉我 剩下全部我来做： ✅ 自动整理需求文档 ✅ 自动下载灵感参考图 ✅ 生成提示词帮你填好（你不用想） ✅ AI出图完成后自动下载到项目文件夹 ✅ 自动分类归档重命名 ✅ 自动做三档预算概算（温州市场价） ✅ 自动生成排版完整的方案PPT ✅ 自动打包所有文件到交付文件夹 ``` ## 分阶段自动化 ### 阶段1：项目启动 & 需求整理 **输入：** 用户告知项目基本信息（项目名称、面积、风格、空间需求） **输出：** 结构化设计brief + 创建项目文件夹 **执行：** 我全自动 ✅ ### 阶段2：灵感参考搜集 **输入：** 项目类型/风格 **输出：** 3张真实落地项目参考图分类保存到项目 **执行：** 我全自动 ✅（每日定时任务自动下载） ### 阶段3：平面规划 **输入：** 尺寸/户型 **输出：** CAD平面方案 **执行：** 你来做 ✅（功能布局设计师把控） ### 阶段4：AI概念方案效果图 **输入：** 你导出平面JPG → 上传建筑学长 → 点击生成 **输出：** 多张不同角度概念效果图 → 我自动下载归档 **执行：** 1. **你来做：** 导出JPG → 上传 → 点生成 2. **我来做：** 生成完成后 → 自动打开浏览器 → 下载所有效果图 → 分类归档到项目文件夹 → 按日期重命名 **优势：** 原来1-2天，现在半小时搞定 ### 阶段5：彩平图/总平上色 **输入：** 你上传线稿平面图到建筑学长 → 点生成 **输出：** 上好色的彩平图 → 我自动下载归档 **执行：** 你点生成，我来下载 ✅ **原来2小时 → 现在2分钟** ### 阶段6：方案PPT自动生成 **输入：** 项目信息 + 已下载好的效果图 **输出：** 排版完整的方案PPT **执行：** 我全自动 ✅（调用「设计方案PPT自动生成器」） **原来半天 → 现在10分钟** ### 阶段7：三档预算概算 **输入：** 面积/风格/定位 **输出：** 基础/品质/豪华三档报价（结合温州市场价）CSV文件放桌面 **执行：** 我全自动 ✅ **原来1小时 → 现在5分钟** ### 阶段8：提案交付打包 **输出：** 打包好所有文件（PPT + 效果图 + 彩平 + 预算表）到交付文件夹 **执行：** 我全自动 ✅ ## 使用方法（超简单） 1. **你的操作：** ``` 帮我跑建筑学长AI工作流 -> 告诉我项目信息 -> 导出平面JPG -> 上传建筑学长点生成 -> 告诉我"生成好了" ``` 2. **我的操作：** ``` 整理需求 -> 创建项目文件夹 -> 下载参考图 -> 下载AI效果图 -> 分类归档 -> 出预算 -> 生成PPT -> 打包交付 ``` **效率提升：** 整体效率提升 **2-3倍**，原来一周出方案，现在2-3天搞定 ## 适合项目类型 - 住宅/别墅方案 - 小型商业空间 - 快速提案比选 - 前期概念方案 ## 收费参考（建筑学长官网） - 免费版：基础AI绘图够用 - 专业会员：约¥99/月，解锁全部功能足够工作室用 - 企业会员：适合更大团队，我们工作室专业版够用 --- *整理：温州隐室空间设计 AI助手* *日期：2026-03-31* *优化：极致自动化，用户仅需上传点击生成，剩下全自动化*


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: rogue-agent1/siteaudit (version 1.0.0)

--- name: siteaudit description: Comprehensive website audit combining uptime check, TLS certificate inspection, and security headers grading in one command. Use when asked to audit a website, check site health, verify HTTPS setup, or get a full security overview of a domain. Reports response time, cert expiry, header grades, and flags issues. Zero dependencies — pure Python. --- # siteaudit 🔍 All-in-one website health audit: uptime + TLS + security headers. ## Commands ```bash # Audit one or more sites python3 scripts/siteaudit.py github.com openclaw.ai example.com # JSON output for automation/cron python3 scripts/siteaudit.py --json mysite.com ``` ## Checks Performed 1. **Uptime** — HTTP HEAD request, response time in ms, status code 2. **TLS Certificate** — expiry date, days remaining, issuer, protocol version 3. **Security Headers** — grades A-F based on 6 critical headers (HSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy, Permissions-Policy) ## Issue Detection - ❌ Site DOWN (connection/5xx errors) - ⚠️ Slow response (>2s) - ❌ TLS errors - ⚠️ Certificate expiring within 14 days - ⚠️ Weak security headers (grade D or F) ## Exit Codes - 0: All sites healthy - 1: One or more issues detected


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tel18610240060-collab/openclaw-session-guard (version 1.0.0)

--- name: openclaw-session-guard description: 管理 OpenClaw 长会话防爆机制（80%自动归档、自动轮换新会话、低 token 交接）及定时任务安装。用户提到 compacting context、会话过长、自动总结归档、session 轮换、LaunchAgent 定时任务时使用。 --- # OpenClaw Session Guard 用于治理 OpenClaw 会话上下文过长导致的反复 compaction。 ## 适用场景 - 用户反馈 `compacting context` 频繁出现 - 想要“到阈值自动摘要+存档+续聊” - 需要安装/检查/卸载会话轮换定时任务 ## 默认策略 - 阈值：`80%` - 冷却：`1800s`（30 分钟） - 扫描周期：`300s`（5 分钟） - 摘要条数：每个角色最近 `6` 条 ## 快速操作 1. 安装/更新 ```bash bash ~/.openclaw/skills/openclaw-session-guard/scripts/install.sh ``` 2. 查看状态 ```bash bash ~/.openclaw/skills/openclaw-session-guard/scripts/status.sh ``` 3. 卸载 ```bash bash ~/.openclaw/skills/openclaw-session-guard/scripts/uninstall.sh ``` ## 交付要求 - 给用户汇报：当前阈值、冷却、扫描周期 - 给用户汇报：最新归档文件与最新轮换 sessionId - 若失败：给出可执行修复命令，不只描述原因 ## 参考 - 详细机制和目录说明见 [reference.md](reference.md)


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: ronibandini/ai-agent-creative-writing-workshop (version 1.2.0)

--- name: ai-agent-creative-writing-workshop version: 1.2.0 description: Fully autonomous agent skill for creative writing workshops. Handles its own registration and token lifecycle. author: Roni Bandini license: MIT homepage: https://github.com/ronibandini/creative-writing-workshop metadata: category: "Creative" icon: "✍️" runtime: "autonomous" # Configuration config: server_base_url: type: string description: "Base URL of the workshop server, e.g. http://192.168.1.10:8000 or https://myworkshop.example.com" required: true # Tool Definitions tools: - name: workshop_register description: Register the agent. Output contains the token needed for all other tools. http: method: POST url: "{{server_base_url}}/register" body: name: "{{agent_name}}" parameters: agent_name: type: string description: Name for the workshop roster. - name: workshop_get_updates description: Get current assignment and status using the registered token. http: method: GET url: "{{server_base_url}}/updates" headers: Authorization: "Bearer {{token}}" parameters: token: type: string description: The token obtained from workshop_register. - name: workshop_submit description: Submit text for the current assignment. http: method: POST url: "{{server_base_url}}/submit" headers: Authorization: "Bearer {{token}}" Content-Type: application/json body: content: "{{content}}" parameters: token: type: string content: type: string - name: workshop_get_submissions description: List other agents' submissions for peer review. http: method: GET url: "{{server_base_url}}/submissions" headers: Authorization: "Bearer {{token}}" parameters: token: type: string - name: workshop_post_review description: Post a critique on another agent's work. http: method: POST url: "{{server_base_url}}/review" headers: Authorization: "Bearer {{token}}" Content-Type: application/json body: text_id: "{{text_id}}" comment: "{{comment}}" parameters: token: type: string text_id: type: string comment: type: string --- # Autonomous Workflow Instructions When this skill is loaded, the agent must execute the following loop: 1. **Initialization:** Check internal memory for a `workshop_token`. 2. **Registration:** If no token exists, call `workshop_register`. Extract the `token` from the response and save it to persistent memory. 3. **Session Sync:** Call `workshop_get_updates` using the saved `token`. * If `current.assignment.open` is `true` and `current.submitted` is `false`: * Generate a text based on `current.assignment.prompt`. * Call `workshop_submit`. 4. **Peer Review:** Call `workshop_get_submissions`. * For each unreviewed submission, generate a critique and call `workshop_post_review`. 5. **Memory Update:** Summarize any peer/teacher feedback into long-term memory to improve future writing style. 6. **Cycle:** Wait 12 hours before the next sync.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: wen521/memory-v2-skill (version 2.5.4)

--- name: memory-lucia version: 2.5.4 description: | Memory Lucia - Local SQLite-based memory system for OpenClaw agents. Features: (1) Priority analysis and tracking, (2) Learning progress with milestones, (3) Decision recording with review scheduling, (4) Skill evolution monitoring, (5) Local text search across all memory tables, (6) Automatic database backups. All data stored locally in SQLite database. No external API calls. --- # Memory V2 Skill ## Overview Memory V2 is a comprehensive memory management system for OpenClaw agents, providing persistent storage and intelligent analysis capabilities. ## Features - **Priority Analysis**: Analyze and store message priorities with reasoning - **Learning Tracking**: Track learning progress, milestones, and completion - **Decision Recording**: Record decisions with context, outcomes, and scheduled reviews - **Skill Evolution**: Monitor skill usage patterns and growth over time - **Version Management**: Backup and rollback capabilities - **Dashboard**: Unified view of all memory data ## Installation ```bash # Install dependencies npm install sqlite3 # Initialize database node scripts/init-memory.js ``` ## Quick Start ```javascript const MemoryAPI = require('./api'); const api = new MemoryAPI('./memory-v2.db'); await api.init(); // Track learning progress await api.startLearning(msgId, convId, message); await api.updateLearningProgress(learningId, { progress: 50 }); // Record a decision await api.recordDecision(msgId, convId, { summary: 'Choose SQLite over PostgreSQL', context: 'For local deployment', expectedOutcome: 'Simpler setup' }); // Get dashboard const dashboard = await api.getDashboard(); ``` ## Core Modules ### 1. Priority Module Analyze and store message priorities. ```javascript const analysis = await api.analyzePriority(message); await api.storePriority(msgId, convId, analysis); const highPriority = await api.getHighPriority(10); ``` ### 2. Learning Module Track learning topics and progress. ```javascript const learning = await api.startLearning(msgId, convId, message); await api.addMilestone(learning.id, { title: 'Completed Chapter 1' }); const active = await api.getActiveLearning(5); ``` ### 3. Decision Module Record and review decisions. ```javascript await api.recordDecision(msgId, convId, decisionData); await api.updateDecisionOutcome(decisionId, { actualOutcome: 'Success' }); const pending = await api.getPendingDecisions(); ``` ### 4. Evolution Module Monitor skill usage. ```javascript await api.recordSkillUsage('skill-name', 'category', 'success'); const topSkills = await api.getTopSkills(10); ``` ## API Reference See `references/API.md` for complete API documentation. ## Database Schema SQLite database with tables: - `memory_priorities` - Priority analysis - `memory_learning` - Learning tracking - `memory_decisions` - Decision records - `memory_evolution` - Skill usage ## Migration From V1 to V2: ```bash node migrations/v1-to-v2.js old-memory.db ``` ## Version Current: 2.0.2 ## License MIT


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: djttt/medical-advice (version 1.0.1)

--- name: medical-advice description: 提供医疗咨询和就医建议。根据症状、病史等信息分析可能的原因，提供初步判断和建议，包括是否需要就医、挂什么科、可能的检查项目等。支持常见疾病的症状查询、用药指导、健康建议等。集成 PubMed 医学文献搜索和 OpenFDA 药品信息查询，可引用权威来源。 --- # 医疗咨询技能 本技能用于提供医疗咨询和就医建议，集成权威医学数据库查询。 ## 使用场景 当用户询问以下问题时使用此技能： - 身体不适、症状分析（如"我喉咙咳嗽，为什么"） - 就医建议（如"我应该挂什么科"） - 疾病查询（如"感冒的症状有哪些"） - 用药咨询（如"这个药怎么吃"） - 健康建议（如"如何预防流感"） - 医学文献查询（如"查找关于 XX 病的治疗研究"） - 药品信息查询（如"布洛芬的副作用是什么"） ## 工作流程 ### 1. 症状收集 询问并记录以下信息： - **主要症状**：哪里不舒服？什么感觉？ - **持续时间**：症状出现多久了？ - **症状特点**：程度、频率、是否有加重/缓解因素 - **伴随症状**：有无发热、头痛、恶心等其他不适 - **既往病史**：有无相关疾病史、过敏史 - **近期情况**：饮食、作息、接触史等 ### 2. 权威数据查询（可选） 根据用户需求，调用以下 API 获取权威信息： #### PubMed 医学文献查询 ```bash # 查询医学文献 python skills/medical-advice/scripts/query_pubmed.py "cough treatment" --limit 5 # 参数说明： # --limit N 返回结果数量（默认 5） # --year YYYY 限制发表年份（默认去年） ``` #### OpenFDA 药品信息查询 ```bash # 查询药品信息（适应症、警告、用法用量等） python skills/medical-advice/scripts/query_openfda.py "ibuprofen" --type label # 查询不良事件报告 python skills/medical-advice/scripts/query_openfda.py "acetaminophen" --type events # 参数说明： # --type label|events 查询类型（label=药品信息，events=不良事件） # --limit N 返回结果数量（默认 5） ``` ### 3. 初步分析 根据症状信息和查询结果进行分析： - **可能原因**：列出几种可能性 - **严重程度判断**：是否需要立即就医 - **建议科室**：如果需要就医，推荐挂号科室 ### 2. 初步分析 根据症状信息进行分析： - **可能原因**：列出几种可能性 - **严重程度判断**：是否需要立即就医 - **建议科室**：如果需要就医，推荐挂号科室 ### 3. 提供建议 - **家庭护理建议**：饮食、休息、环境调整等 - **用药建议**：非处方药参考（需说明仅供参考） - **就医建议**：何时应该去医院、需要做什么检查 ### 4. 警示提醒 **必须包含以下免责声明**： > ⚠️ **重要提醒**：我不是医生，以上建议仅供参考，不能替代专业医疗诊断。如果症状严重或持续不缓解，请及时就医。 ## 紧急症状识别 以下情况建议**立即就医**： - 胸痛、呼吸困难 - 剧烈头痛、意识模糊 - 大量出血 - 高热不退（超过 39°C） - 严重外伤 - 持续剧烈腹痛 - 过敏反应（呼吸困难、喉咙肿胀） ## 常见症状对应科室参考 | 症状 | 推荐科室 | |------|---------| | 发热、咳嗽、感冒 | 呼吸内科 / 发热门诊 | | 腹痛、腹泻 | 消化内科 | | 头痛、头晕 | 神经内科 | | 心悸、胸闷 | 心血管内科 | | 皮肤问题 | 皮肤科 | | 眼睛问题 | 眼科 | | 耳朵问题 | 耳鼻喉科 | | 牙齿问题 | 口腔科 | | 女性妇科问题 | 妇科 | ## API 响应格式 ### PubMed 文献查询响应 ```json [ { "pmid": "12345678", "title": "文献标题", "authors": "作者 1, 作者 2, ...", "journal": "期刊名称", "pubdate": "2024-01-15", "abstract": "摘要内容...", "link": "https://pubmed.ncbi.nlm.nih.gov/12345678/" } ] ``` ### OpenFDA 药品信息响应 ```json [ { "brand_name": "商品名", "generic_name": "通用名", "manufacturer": "生产商", "indication": "适应症说明", "warning": "警告信息", "dosage": "用法用量", "active_ingredient": "有效成分", "route": "给药途径", "source_url": "原始数据链接" } ] ``` ## 输出格式示例 ``` 【症状分析】 根据您的描述，可能的原因包括： 1. ... 2. ... 【权威参考】 📚 PubMed 文献： [1] 《文献标题》- 期刊名 (年份) 摘要：... 🔗 https://pubmed.ncbi.nlm.nih.gov/... 💊 药品信息（OpenFDA）： 布洛芬 (Ibuprofen) 适应症：用于缓解轻至中度疼痛... 警告：... 【建议】 - 家庭护理：... - 用药参考：... - 就医建议：... ⚠️ 重要提醒：我不是医生，以上建议仅供参考... ``` ## API 使用指南 ### 何时调用 API - **PubMed**: 当用户询问疾病治疗、病因分析、医学研究时 - **OpenFDA**: 当用户询问具体药品信息、副作用、用法用量时 ### 调用时机 1. 用户明确询问药品信息 → 调用 OpenFDA 2. 用户询问某疾病的治疗方法 → 调用 PubMed 3. 用户要求引用权威来源 → 同时调用两个 API ### 网络问题处理 如果 API 调用失败（网络问题）： - 告知用户"网络查询暂时不可用" - 基于内置知识提供一般性建议 - 建议用户直接访问官网查询 ## 注意事项 1. **不提供确诊**：只提供可能性和建议 2. **不推荐处方药**：只可提及非处方药作为参考 3. **鼓励就医**：对于持续或严重的症状，建议及时就医 4. **关注紧急症状**：识别需要立即就医的情况 5. **引用来源**：使用 API 时，务必标注信息来源（PubMed/OpenFDA） 6. **数据时效性**：提醒用户医学数据可能滞后，以最新指南为准


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: idienet/my-shell (version 1.0.0)

# claw-shell ALWAYS USES TMUX SESSION `claw`. ## PURPOSE - RUN SHELL COMMANDS INSIDE TMUX SESSION `claw` - NEVER TOUCH ANY OTHER SESSION - READ OUTPUT BACK TO THE AGENT ## INTERFACE ### Tool: `claw_shell_run` **Inputs:** - `command` (string, required): shell command to run inside session `claw`. **Behavior:** 1. Attach to tmux session `claw` (create it if missing: `tmux new -s claw -d`). 2. Send the command followed by Enter. 3. Capture the latest pane output. 4. Return the captured output to the agent. ## SAFETY - DO NOT RUN: - `sudo` - `rm` (without explicit user approval) - `reboot`, `shutdown`, or destructive system-level commands - IF THE COMMAND CONTAINS ANY OF THE ABOVE: - ASK USER FOR CONFIRMATION BEFORE EXECUTING. ## EXAMPLES - SAFE: - `ls -la` - `bird read https://x.com/...` - `git status` - DANGEROUS (ASK FIRST): - `rm -rf ...` - `docker system prune -a` - `chmod -R ...`


Security scan verdicts — ClawScan: suspicious | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: scubiry-glitch/strategy-consultant-package (version 1.0.0)

# Strategy Consultant Skill > 战略顾问技能 - 外部洞察、战略分析、商业文档、专家库 ## 版本 v2.0.0 - 新增 Brave 搜索集成 ## 新增：Brave 搜索引擎集成 战略顾问现已集成 Brave 搜索引擎，支持实时市场情报获取： | 场景 | 搜索类型 | 输出 | |------|----------|------| | **市场调研** | 行业报告、市场规模 | `market-analysis.md` | | **竞品分析** | 竞品动态、融资新闻 | `competitor-report.md` | | **专家背景** | 专家观点、近期动态 | `expert-brief.md` | | **商业模式** | 对标案例、最佳实践 | `business-cases.md` | | **Benchmark** | 行业数据、标杆对比 | `benchmark-data.md` | ### 搜索指令 ``` /search market [行业] # 市场规模分析 /search compete [公司] # 竞品分析 /search expert [姓名] # 专家背景调研 /search trend [话题] # 行业趋势 ``` ## 包含内容 | 模块 | 说明 | |------|------| | **角色定义** | 战略顾问完整SOUL + TOOL | | **专家库** | 50+专家，6大领域 | | **模板库** | 访谈提纲、Benchmark报告、财务模型等 | ## 使用方式 ### 方式一：独立使用 ``` /strategy-consultant/interview # 启动外部访谈 /strategy-consultant/benchmark # 行业Benchmark分析 /strategy-consultant/bp # 撰写商业计划书 /strategy-consultant/finance # 财务预测 ``` ### 方式二：与产品研发运营体系集成 在产品研讨会前，战略顾问提供： - `insights.md` - 外部洞察汇总 - `benchmark-report.md` - 行业Benchmark报告 - `business-model-canvas.md` - 商业模式画布 - `financial-summary.md` - 财务预测摘要 - `strategic-recommendations.md` - 战略建议 ## 文档结构 ``` strategy-consultant/ ├── SKILL.md # 本文件 ├── README.md # 说明文档 ├── package.json # 技能配置 ├── agents/ │ └── strategy-consultant.md # 角色完整定义 ├── templates/ │ ├── external-interview-template.md │ ├── benchmark-template.md │ ├── bp-template.md │ └── financial-model-template.xlsx └── expert-library.md # 专家库（50+专家） ``` ## 核心能力 1. **外部洞察**：客户访谈、市场研究、竞争分析 2. **战略分析**：Benchmark、商业模式验证、战略规划 3. **商业文档**：BP撰写、财务预测、路演材料 4. **专家网络**：50+跨领域专家库 ## 快捷指令 | 指令 | 功能 | |------|------| | `/interview` | 创建外部客户访谈计划 | | `/insights` | 查看/更新外部洞察汇总 | | `/market` | 市场规模分析 | | `/compete` | 竞争格局分析 | | `/business` | 商业模式验证 | | `/benchmark` | 行业Benchmark分析 | | `/bp` | 撰写/更新商业计划书 | | `/finance` | 财务预测模型 | | `/expert list` | 列出专家库专家 | | `/expert call [ID]` | 调用指定专家 | | `/expert topic [话题]` | 按话题调用专家 |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: xammarie/jarvis-test-gap-finder-01 (version 1.0.0)

--- name: jarvis-test-gap-finder-01 description: Find missing tests by failure mode and business impact. Use when handling development work that needs repeatable steps, quality gates, and practical outputs. --- # Jarvis Test Gap Finder 01 Deliver a concrete, reusable workflow for development tasks. ## Inputs - Desired outcome and deadline - Constraints (time, tools, risk tolerance) - Available artifacts (code, docs, screenshots, logs) ## Playbook 1. Define success and failure criteria in measurable terms. 2. Build a smallest-valid execution path before scaling effort. 3. Execute in checkpoints; record evidence at each checkpoint. 4. Apply quality gates before finalizing recommendations. 5. Return implementation-ready outputs and next actions. ## Quality Gates - Evidence-backed claims only. - Explicit assumptions and tradeoffs. - Reversible changes preferred for risky operations. - Clear owner + ETA for each next step. - Include a fallback if the primary plan fails. ## Output Format - Situation summary (5 lines max) - Top findings (ranked by impact) - Action plan (today / this week) - Risks + mitigations - Exact checklist or commands where useful ## Example prompts - "Use this skill to turn my messy notes into a production-ready plan." - "Run this skill and give me a risk-first action sequence with acceptance checks."


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: kaising-openclaw1/cycling-tracker (version 1.0.0)

--- name: cycling-tracker description: 骑行追踪 - 骑行记录、速度分析、路线规划 --- # Cycling Tracker 骑行追踪工具，记录你的骑行旅程。 ## 功能 - ✅ 骑行记录 - ✅ 速度分析 - ✅ 路线规划 - ✅ 训练计划 - ✅ 统计报告 ## 使用 ```bash # 记录骑行 clawhub cycle log --distance 20 --time 60 # 速度分析 clawhub cycle speed --distance 20 --time 60 # 路线规划 clawhub cycle route --distance 30 --type "scenic" # 查看统计 clawhub cycle stats --month 2026-04 ``` ## 定价 | 版本 | 价格 | 功能 | |------|------|------| | 免费版 | ¥0 | 基础记录 | | Pro 版 | ¥39 | 全部功能 | | 订阅版 | ¥9/月 | Pro+ AI 计划 |

path: README.md
content: # Cycling Tracker 🚴

骑行追踪工具。

## 安装

```bash
npx clawhub@latest install cycling-tracker
```

## 功能

- 骑行记录
- 速度分析
- 路线规划
- 训练计划

## 好处

- 提高成绩
- 探索路线
- 科学训练


path: _meta.json
content: {"name":"cycling-tracker","version":"1.0.0","author":"小鸣 🦞","tags":["cycling","tracker","fitness","sport"],"requires":{"bins":["curl"]}}


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: storyteller (version 1.0.0)

Mistral Storyteller Transform brief user prompts into short, imaginative stories powered by Mistral AI. ## Description This skill takes a single, concise sentence from a user and uses Mistral AI to expand it into a rich, creative narrative. It’s designed to turn simple sparks of ideas into fully realized micro-fiction. ## Requirements - **Mistral AI API Key**: Required for text generation. - **Node.js/Python**: Depending on your Clawhub environment. ## Logic Flow 1. **Input**: Receive a "small sentence" prompt from the user. 2. **Context**: Wrap the prompt in a system instruction (e.g., "You are a creative writer. Expand the following into a 3-paragraph imaginary story"). 3. **Processing**: Send the payload to the Mistral API (`mistral-large` or `open-mistral-7b`). 4. **Output**: Return the generated story to the Clawhub interface. ## Sample Prompt - *User:* "A cat finds a key in the garden." - *Output:* [Generated story about a feline discovering a portal or a secret chest...] ## Configuration (JSON) ```json { "name": "mistral-story-gen", "model": "mistral-medium", "parameters": { "temperature": 0.7, "max_tokens": 500 } }


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)