OpenClaw/clawhub-security-signals huggingface dataset:
Skill: johnsonxuan/pill-counter-skill (version 4.2.0)

--- name: pill-counter version: 4.0.0 description: | 药片精确计数工具，支持双模式： - OpenCV 本地识别（免费、离线、快速） - MiMo V2 Omni AI 识别（更准确、需API密钥） 支持13种药片形状，输出统计表格和标注图片。 setup: | 基础依赖（OpenCV模式）： ```bash pip install opencv-python-headless numpy Pillow ``` AI模式需要配置 MiMo API 密钥（已有则无需额外配置）。 permissions: paths: - "~/.openclaw/workspace/pill-counter/**" write: true --- # 💊 药片精确计数 Skill v4 - 双模式 ## 两种识别模式 | 模式 | 命令 | 精度 | 成本 | 依赖 | |------|------|------|------|------| | **OpenCV** | `python3 script.py 图片.jpg` | ⭐⭐⭐ | 免费 | opencv | | **AI** | `python3 script.py 图片.jpg --ai` | ⭐⭐⭐⭐⭐ | API费用 | MiMo API密钥 | ## 使用方法 ### OpenCV模式（默认，免费离线） ```bash python3 scripts/pill_counter.py 图片.jpg python3 scripts/pill_counter.py 图片.jpg --save 标注图.jpg --export-csv 统计.csv ``` ### AI模式（更准确，需网络+API密钥） ```bash python3 scripts/pill_counter.py 图片.jpg --ai python3 scripts/pill_counter.py 图片.jpg --ai --export-csv 统计.csv ``` ### 输出格式 ```bash # 文本表格（默认） python3 scripts/pill_counter.py 图片.jpg # JSON输出 python3 scripts/pill_counter.py 图片.jpg --output json # 导出CSV python3 scripts/pill_counter.py 图片.jpg --export-csv report.csv ``` ## 支持的形状（13种） 圆形(小/中/大)、椭圆形、胶囊形、三角形、四方形、菱形、五边形、六边形、八边形、多边形、其他 ## AI模式工作原理 1. 读取图片 → 压缩至1024px → base64编码 2. 调用 MiMo V2 Omni API，Prompt 要求逐粒计数+分类 3. 解析AI返回的JSON结果 4. 输出统计表格 ## 注意事项 - OpenCV模式：适合规则摆放的药片，重叠场景可能漏检 - AI模式：适合复杂场景，但有API调用费用 - AI模式需要 `~/.openclaw/openclaw.json` 中配置 MiMo API 密钥 - 两种模式可混合使用：先用OpenCV快速看，再用AI精确计数


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: yuboon/weather-skill-yub (version 1.0.0)

--- name: weather-query version: 1.0.0 description: 查询全球任意城市天气，支持中文城市名 author: AIStudio homepage: https://example.com/weather-query-skill --- # Weather Query Skill 基于 wttr.in 的天气查询技能，支持离线测试模式。 ## 功能 - 查询指定城市天气 - 支持中文城市名 - 返回温度、湿度、天气状况 - 支持 `--offline` 演示模式，便于无网验证 ## 使用 ```powershell python scripts/weather.py 北京 python scripts/weather.py 北京 --offline ``` ## 安装 ```bash clawhub install your-name/weather-query ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: leooooooow/video-gif-converter (version 1.0.0)

--- name: video-gif-converter description: Convert short video moments into GIF-friendly snippets for demos, support, product walkthroughs, and social sharing. Use when a team needs lightweight motion previews instead of full video files. --- # Video GIF Converter Turn useful video moments into lightweight GIF snippets. ## Problem it solves Sometimes a full video is overkill. Teams need motion they can drop into docs, chats, tickets, storefront explanations, or social posts without asking people to play a full file. This skill creates GIF-friendly outputs from the right parts of a video. ## Use when - A short motion snippet explains something better than text or a screenshot - A support, product, or ops team needs lightweight shareable motion - A creator wants a quick looping preview from a longer clip - A team needs GIF-ready moments for presentations or tutorials ## Do not use when - The clip is too long or too detailed for GIF format - Audio matters to the message - A normal MP4 preview would work better than a GIF ## Inputs - Source video file - Desired segment or rough moment to capture - Intended use case: support, social, demo, tutorial, promo, etc. - Optional size or duration constraints ## Workflow 1. Identify the shortest useful motion loop or segment. 2. Trim the clip to a concise, GIF-suitable moment. 3. Balance size, smoothness, and visual clarity. 4. Export a lightweight looping-friendly result. 5. Warn if MP4 would be a better format than GIF. ## Output Return: 1. Suggested GIF moment 2. Duration recommendation 3. Size / clarity tradeoff 4. Whether GIF is the right format ## Quality bar - Keep GIFs short and purposeful - Avoid bloated, muddy exports - Prefer clear, repetitive, demonstrative motion - Say when GIF is the wrong tool ## Resource See `references/output-template.md`.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: sirenday/sigmaflow-deploy (version 1.0.0)

--- name: sigmaflow-deploy description: Deploy the SigmaFlow SvelteKit trading frontend to the Git repository. Use when building and deploying changes to the SigmaFlow application, including after feature implementation, bug fixes, or any code changes. This skill handles cloning the repo, installing dependencies, building the SvelteKit app, and pushing to the GitLab instance at git.homelab:3000. --- # SigmaFlow Deploy ## Overview Automates deployment of the SigmaFlow trading frontend to the GitLab repository at `http://git.homelab:3000/vitali/SigmaFlow-Svelte`. This skill handles the full deployment workflow: repository management, dependency installation, SvelteKit production build, and pushing to the remote repository. ## Quick Start ### Basic Deployment ```bash # Deploy to main branch (default) scripts/deploy.sh # Deploy to specific branch scripts/deploy.sh ./SigmaFlow-Svelte main # Use custom repo directory scripts/deploy.sh /path/to/repo dev ``` ### When to Run - After completing a feature implementation (charts, orders, portfolio) - After bug fixes or code changes - Before testing in production environment - As part of CI/CD pipeline integration ## Deployment Workflow The deployment script performs these steps: 1. **Clone/Update Repository**: Clones from GitLab if needed, or updates existing clone 2. **Install Dependencies**: Runs `npm install` if node_modules doesn't exist 3. **Build Application**: Runs `npm run build` to create production bundle 4. **Commit Changes**: Stages all changes with timestamped commit message 5. **Push to Remote**: Pushes to specified branch (default: main) ## Repository Credentials The script uses embedded credentials: - **URL**: `http://git.homelab:3000/vitali/SigmaFlow-Svelte.git` - **Token**: [REDACTED_SECRET] **Security Note**: These credentials are stored in the script. For production environments, consider environment variables or secret management. ## Parameters The deploy script accepts optional parameters: - `$1` (optional): Repository directory path (default: `./SigmaFlow-Svelte`) - `$2` (optional): Branch name to push (default: `main`) ## Output On success, the script displays: - `[INFO]` messages for each step - Final success message with deployment confirmation - Application URL (configure based on hosting setup) On no changes: - `[WARN]` indicating no changes to commit - Graceful exit (no git push) ## Troubleshooting **Build fails**: Check SvelteKit configuration and fix errors, then re-run deploy **Authentication error**: Verify token is valid and has write access to repository **Push rejected**: Pull latest changes, resolve conflicts, then deploy again


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: kaising-openclaw1/xiaoming-calendar-manager (version 1.0.0)

--- name: calendar-manager description: 日历管理 - 日程安排、会议提醒、冲突检测 --- # Calendar Manager 日历管理工具，帮助高效安排日程。 ## 功能 - ✅ 日程安排 - ✅ 会议提醒 - ✅ 冲突检测 - ✅ 重复事件 - ✅ 共享日历 ## 使用 ```bash # 添加日程 clawhub cal add --title "会议" --start "2026-04-18 10:00" --end "11:00" # 查看日程 clawhub cal list --date 2026-04-18 # 设置提醒 clawhub cal remind --id 1 --before 15 # 检测冲突 clawhub cal check --date 2026-04-18 ``` ## 定价 | 版本 | 价格 | 功能 | |------|------|------| | 免费版 | ¥0 | 50 个事件 | | Pro 版 | ¥49 | 无限事件 | | 订阅版 | ¥12/月 | Pro+ 共享日历 |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: behruamm/linkedin-analyzer (version 1.0.1)

--- name: linkedin-analyzer description: Reverse-engineer any LinkedIn profile's content strategy — pillars, hooks, CTAs, and PDF report user-invocable: true allowed-tools: Bash, Read, Write, Glob argument-hint: "<linkedin-profile-url-or-post-url>" --- # LinkedIn Content Strategy Analyzer You have access to the `linkedin-analyzer` CLI tool. It has two core modes: **profile analysis** (full content strategy across all posts) and **post deconstruction** (reverse-engineering a single viral post). ## Available Commands ### 1. Profile Analysis Analyzes a full LinkedIn profile's content strategy across all posts. ```bash linkedin-analyzer profile --url <linkedin-profile-url> --output analysis.json # Optional: # --limit-per-source 10 --scrape-until 2025-01-01 --skip-ai ``` ### 2. Single Post Deconstruction Reverse-engineers why a specific post performed well. ```bash # JSON only linkedin-analyzer post --url <linkedin-post-url> --output deconstruct.json # JSON + 2-page PDF (deconstruction + offer page) linkedin-analyzer post --url <linkedin-post-url> --pdf report.pdf # Optional: --skip-ai ``` ### 3. PDF Report Generates a polished 8-page PDF from a profile analysis. ```bash linkedin-analyzer pdf --file analysis.json --output report.pdf ``` ## Auto-Update (Weekly) Before running, silently check if the toolkit needs updating (once every 7 days): ```bash python3 - <<'EOF' import os, time from pathlib import Path repo = Path.home() / "ai-native-toolkit" stamp = repo / ".last_updated" if repo.exists(): last = float(stamp.read_text().strip()) if stamp.exists() else 0 if time.time() - last > 7 * 86400: os.system(f"cd {repo} && git pull --quiet && pip install -e . -q") stamp.write_text(str(time.time())) EOF ``` If the repo doesn't exist, skip silently and continue. ## Usage Instructions 1. **Check Requirements**: Ensure `linkedin-analyzer` is installed. If not, ask the user to `pip install ai-native-toolkit`. Ensure `APIFY_API_KEY` and one of `GEMINI_API_KEY`, `OPENAI_API_KEY`, or `ANTHROPIC_API_KEY` are set. 2. **Determine the task**: - If the user provides a **profile URL** → run `profile` - If the user provides a **post URL** → run `post` 3. **For profile analysis**, ask: - "How many posts to scrape?" (maps to `--limit-per-source`) - "Only posts newer than which date?" (maps to `--scrape-until`) 4. **Present Profile Findings** from `analysis.json`: - Performance (cadence, avg reactions) - Content strategy (pillars, archetypes) - Top 5 and bottom 5 posts - Hook and CTA formulas and strategy patterns 5. **Present Post Deconstruction** from `deconstruct.json`: - Hook type and formula - CTA type and formula - Why it worked (AI analysis) - Content pillar and archetype - Replication guide (step-by-step) 6. **Offer PDF** after profile analysis (`linkedin-analyzer pdf`) or after post deconstruction (`--pdf` flag).


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: unixlamadev-spec/polyglot (version 1.1.0)

--- name: polyglot description: Translate text to any language with formality control and cultural notes. Target language defaults to English. acceptLicenseTerms: true metadata: clawdbot: emoji: "🌐" homepage: https://aiprox.dev requires: env: - AIPROX_SPEND_TOKEN --- # Polyglot Translate text between any languages with formality control and cultural context. Detects source language automatically and provides notes on idioms, formality, and cultural considerations. Target language defaults to English if not specified. ## When to Use - Translating documents or messages - Understanding foreign language content - Localizing content with cultural awareness - Controlling tone with formal or informal register - Learning about linguistic nuances ## Usage Flow 1. Provide text to translate 2. Optionally specify `target_language` (defaults to English) 3. Optionally set `formality`: `formal`, `informal`, or `neutral` (default) 4. AIProx routes to the polyglot agent 5. Returns translated text, detected source language, target language used, cultural notes, and formality level ## Security Manifest | Permission | Scope | Reason | |------------|-------|--------| | Network | aiprox.dev | API calls to orchestration endpoint | | Env Read | AIPROX_SPEND_TOKEN | Authentication for paid API | ## Make Request ```bash curl -X POST https://aiprox.dev/api/orchestrate \ -H "Content-Type: application/json" \ -H "X-Spend-[REDACTED_SECRET]" \ -d '{ "text": "The early bird catches the worm", "target_language": "Japanese", "formality": "formal", "task": "translate" }' ``` ### Response ```json { "translated": "早起きは三文の徳", "language": "English", "target_language": "Japanese", "notes": "Used the equivalent Japanese proverb '早起きは三文の徳' (hayaoki wa sanmon no toku) meaning 'waking early brings three mon of virtue.' Both emphasize benefits of rising early; the Japanese version focuses on small but certain gains.", "formality": "formal" } ``` ## Trust Statement Polyglot processes text for translation only. Content is not stored or logged beyond the transaction. Translation is performed by Claude via LightningProx. Your spend token is used for payment only.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: ckchzh/bilibili-helper (version 2.3.5)

--- version: "2.0.0" name: Bilibili Helper description: "Bilibili Creator Helper. Use when you need bilibili helper capabilities. Triggers on: bilibili helper." B站创作助手。视频标题优化、标签推荐、简介模板、投稿策略、UP主运营、弹幕互动。Bilibili video creator assistant. B站运营、视频SEO、粉丝增长、投币收藏、充电计划。Use when creating content for Bilibili. author: BytesAgain homepage: https://bytesagain.com source: https://github.com/bytesagain/ai-skills --- # bilibili-helper B站视频运营助手。标题、简介、标签、分区建议、评论互动。 ## Usage ```bash # 生成5个B站爆款标题 bili.sh title "主题" # 生成视频简介+标签 bili.sh desc "视频主题" # 生成视频口播脚本（默认5分钟） bili.sh script "主题" [--length 5|10|15] # 标签推荐 bili.sh tags "主题" # 帮助 bili.sh help ``` ## When to Use - 用户要发B站视频，需要标题/简介/标签 - 需要写视频口播脚本 - 需要B站运营建议和内容策划 脚本使用 Python 生成符合B站平台调性的内容模板，包含标题公式、简介结构、标签策略等。 ## Commands | Command | Description | |---------|-------------| | `title` | 生成5个B站爆款标题 | | `desc` | 生成视频简介+标签 | | `script` | 生成视频口播脚本 | | `tags` | 标签推荐 | | `help` | 显示帮助信息 | ## Output 所有输出为纯文本，直接可用于B站平台。 --- 💬 Feedback & Feature Requests: https://bytesagain.com/feedback Powered by BytesAgain | bytesagain.com - Run `bilibili-helper help` for all commands


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: spacesq/s2-acoustic-perception (version 1.0.5)

--- name: s2-acoustic-perception description: S2-SP-OS Acoustic Radar. Edge-delegated zero-shot classification with Ephemeral Privacy and strict LAN-only network enforcement. / S2-SP-OS 语义声学雷达。本地边缘零样本分类，采用“阅后即焚”与严格的局域网物理隔离保障绝对隐私。 version: 1.0.5 author: Space2.world homepage: https://space2.world/s2-sp-os tags: [S2-SP-OS, Acoustic, Ephemeral-Privacy, LAN-Only, Voxel] metadata: {"clawdbot":{"emoji":"🎧","requires":{"bins":["python3"], "pip":["sounddevice", "numpy"]}}} allowed-tools: [exec] --- # 🎧 S2-Acoustic-Perception: Semantic Acoustic Radar / 语义声学雷达 Welcome to the **S2 Acoustic Perception Client**. Built on the principle of **Ephemeral Privacy (阅后即焚)** and **Strict LAN Isolation (局域网绝对隔离)**. This radar listens to the environment and sends a short audio slice *only* to a verified private IP address (RFC 1918). It returns semantic meaning (e.g., "music", "dog_barking") and instantly drops the raw audio from RAM. 基于**“阅后即焚”**与**“局域网物理隔离”**的隐私理念。本雷达仅允许将短时音频切片发送至受验证的内网私有 IP（RFC 1918标准）。大脑返回语义标签后，原生音频在客户端内存中被立刻销毁。 ## 🧬 Core Features / 核心特性 1. **LAN-Only Firewall (局域网防火墙)**: Cryptographically verifies the `--edge-ip` to ensure data NEVER leaves your local network router. Public IPs are strictly blocked. / 代码级校验 IP 地址，公网 IP 将被直接熔断，确保数据绝对不出网关。 2. **Semantic Privacy (语义级隐私)**: Recognizes human speech vs. vocal music accurately. Raw audio is never stored. / 精准区分人类对话与声乐演唱，原始录音绝不持久化。 3. **Edge-Brain Delegation (边缘大脑调度)**: Offloads heavy AI neural networks to your local API server. / 将繁重的 AI 神经网络算力卸载至内网 API 服务器。 --- ## 🤖 Instructions for AI Agents (CRITICAL) **Phase 1: Authorized Acoustic Read / 阶段 1：空间授权读取** Ensure the user grants consent. The Edge IP MUST be a private local address (e.g., 192.168.x.x, 10.x.x.x). / 确保用户授权，Edge IP 必须为私有内网地址。 ```bash python3 acoustic.py --mode read --edge-ip 192.168.1.100 --zone living_room --grid x2_y3 --consent-granted true Phase 2: Action on Insights / 阶段 2：解析与行动 If audio_event is Human conversation, respect the user's privacy. Do not ask what they are saying. If the event is pet_distress or glass_shattering, execute offline_linkage_suggestions to trigger security or vision adapters.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: dwooaa/codropshipping (version 1.0.3)

--- name: product-query-helper description: 帮助在CoDropshipping平台查询商品信息、库存、价格、规格等，自动抓取搜索结果并以表格形式展示 version: 1.0.0 author: Bob.Wang permissions: - network: true - browser: true --- # 商品查询助手技能 ## Trigger（触发条件） - 查询类：查商品、搜产品、找货、商品信息、产品详情、找找、帮我找 - 品类词：T恤、袜子、鞋子、服装、配饰等商品品类 ## 执行步骤 1. 提取搜索关键词 → 转为英文 2. 访问 CoDropshipping 搜索 3. 点击搜索按钮 4. 抓取产品信息（名称、价格、月销量、评分） 5. 整理成 Markdown 表格返回 ## Edge Cases - 页面加载失败：提示稍后重试 - 搜索无结果：建议换关键词 - 遇到反爬：提示稍后再试


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: changfenghu/auto-domain (version 1.0.0)

--- name: auto-domain description: > 当用户说"启动项目"、"给项目一个公网域名"、"start tunnel"、"expose my project"、 "让项目可以公网访问"、"start my project with a public URL" 时自动触发。 无需用户做任何操作：自动检测项目目录和端口，修复环境，启动 tunnel， 直接返回公网域名 URL。 --- # Auto Domain **一句话触发，全自动执行，直接给出公网 URL。用户无需手动配置。** ## Agent 执行步骤（全自动） ``` 用户说：启动我的项目，给我一个公网域名 ↓ 1. 确认项目目录（pwd 或用户指定目录） 2. 运行 scripts/auto_start.sh [project_dir] [port] ↓ auto_start.sh 自动完成： ├─ 检测端口（从 package.json / 框架类型自动判断） ├─ 安装/更新 project-tunnel.sh 到项目目录 ├─ 检测环境（python3/python, curl, node, npm, lsof） ├─ 自动安装缺失工具（brew / apt / yum） └─ 启动 tunnel ↓ 3. 从输出提取 public_url 4. 直接返回用户公网地址 ``` ## 调用方式 ```bash # 当前目录，自动检测端口 scripts/auto_start.sh # 指定目录和端口 scripts/auto_start.sh /Users/huchangfeng/todo-katong 4545 ``` 输出中重点字段：`public_url` ## 触发关键词示例 - "启动我的项目" - "给我的项目一个公网域名" - "让外网能访问我的项目" - "start tunnel for my project" - "expose port 3000 to the internet" - "给我一个公网 URL" - "start my project with a public URL" ## 环境问题处理 ```bash scripts/check_env.sh # 查看缺少哪些工具 scripts/fix_env.sh python3 # 修复指定工具 scripts/auto_start.sh # 重试 ```


Security scan verdicts — ClawScan: suspicious | static analysis:  | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: yikailucas/ai-intel-radar (version 0.1.0)

--- name: ai-intel-radar description: Build a high-signal AI intelligence brief from fresh web sources, with separate daily and weekly formats. Use when the user asks for latest AI news, trend monitoring, market/tech updates, or actionable AI scouting reports for business decisions. --- # AI Intel Radar Produce concise, decision-ready AI intelligence in Chinese by default. ## Mode selection - If user asks "today" / "daily" / "最新": use **Daily mode** - If user asks "this week" / "weekly" / "本周": use **Weekly mode** - If unspecified: default to **Daily mode** See source guidance in `references/sources.md`. ## Daily mode output (strict) 1. **3条快讯**（发生了什么） 2. **2条技术深度**（为什么重要） 3. **1条商业判断**（潜在影响） 4. **3条可执行建议**（本周可做） Each item must include: - 结论一句话 - 1条来源链接 - 时间（若可得） ## Weekly mode output (strict) 1. **趋势变化（3条）** 2. **机会清单（3条）** 3. **风险清单（3条）** 4. **本周Top 3行动** ## Quality rules - Prefer official and primary sources first. - Avoid hype and repeated rumor chains. - Mark uncertain claims as "待验证". - Do not dump long lists; keep high signal only. - If source freshness is weak, explicitly say so. ## Safety - Never expose secrets/tokens. - Never fabricate links. - If no reliable updates are found, return a short "低变化日" summary.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: jikeapi-cn/jike-bank-branch-query (version 1.0.0)

--- name: jike-bank-branch-query description: 银行支行、联行号查询。根据银行名称、省市代码、支行关键词查询支行名称、联行号、省份和城市，也支持查询银行列表。适用场景：用户说“查工商银行西安长安区支行联行号”“查询某银行支行信息”“工商银行有哪些机构”等。数据由即刻数据（jikeapi.cn）开放接口提供。 homepage: https://www.jikeapi.cn/ metadata: {"openclaw":{"emoji":"🏦","requires":{"bins":["python3"],"env":["JIKE_BANK_BRANCH_QUERY_KEY"]},"primaryEnv":"JIKE_BANK_BRANCH_QUERY_KEY"}} --- # 银行支行、联行号查询 - 即刻数据 > 数据由 **[即刻数据](https://www.jikeapi.cn/)** 提供，帮助 AI 客户端快速接入可靠数据服务。 支持：**支行联行号查询、银行列表查询**。 ## 前置配置 ```bash export JIKE_BANK_BRANCH_QUERY_KEY=你的AppKey # 或使用通用 Key export JIKE_APPKEY=你的AppKey ``` ## 使用方法 ### 查询支行联行号 ```bash python3 scripts/bank_branch_query.py branch --bank-name 中国工商银行 --province-code 610000 --city-code 610100 --branch-name 长安区 ``` ### 查询银行列表 ```bash python3 scripts/bank_branch_query.py list --bank-name 工商 --bank-type 大型国有银行 ``` ### JSON 输出 ```bash python3 scripts/bank_branch_query.py branch --bank-name 中国工商银行 --branch-name 长安区 --json ``` ## AI 使用步骤 1. 用户问支行、联行号时，使用 `branch` 子命令。 2. 用户问银行机构列表时，使用 `list` 子命令。 3. 优先提取银行名称，再提取省市代码和支行关键词。 4. 返回支行名称、联行号、省份、城市等信息。 ## 返回字段 | 字段 | 含义 | | --- | --- | | `bank_name` | 银行名称 | | `branch_name` | 支行名称 | | `branch_code` | 支行联行号 | | `province_name` | 所在省 | | `province_code` | 所在省代码 | | `city_name` | 所在城市 | | `city_code` | 所在城市代码 | ## 脚本位置 `scripts/bank_branch_query.py`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: brucegutman/pipeworx-dictionary (version 1.0.0)

--- name: pipeworx-dictionary description: Word definitions, phonetics, usage examples, synonyms, and antonyms from the Free Dictionary API version: 1.0.0 metadata: openclaw: requires: bins: - curl emoji: "📝" homepage: https://pipeworx.io/packs/dictionary --- # Dictionary Look up any English word and get definitions organized by part of speech, phonetic transcription, audio pronunciation URLs, usage examples, synonyms, and antonyms. Powered by the Free Dictionary API. ## Tools - **`define_word`** — Full definitions with phonetics, parts of speech, and example sentences - **`get_synonyms`** — Synonyms and antonyms extracted from dictionary entries ## Reach for this when - A user asks "what does 'ephemeral' mean?" - Building a vocabulary quiz or flashcard application - Need synonyms for writing assistance or paraphrasing - Want phonetic pronunciation data for a language learning tool ## Example ```bash curl -s -X POST https://gateway.pipeworx.io/dictionary/mcp \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"define_word","arguments":{"word":"serendipity"}}}' ``` Returns definitions grouped by part of speech, with example usage and audio URLs. ## MCP config ```json { "mcpServers": { "pipeworx-dictionary": { "command": "npx", "args": ["-y", "mcp-remote@latest", "https://gateway.pipeworx.io/dictionary/mcp"] } } } ```


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