OpenClaw/clawhub-security-signals huggingface dataset:
Skill: simoncai519/open-accio-product-description-generator (version 1.0.0)

--- name: open-accio-product-description-generator description: | Use when user wants to create product descriptions, SEO copy, Amazon listings, eBay item descriptions, Etsy listing copy, Shopify product pages, or any e‑commerce marketplace copy. Generates conversion‑focused, keyword‑rich copy tailored to the target platform. version: "1.0.0" --- # Product Description Generator ## Overview Generate high‑converting, SEO‑optimized product descriptions for multiple e‑commerce platforms. The skill creates compelling copy that drives sales while improving search visibility. ## Core Workflow 1. **Collect Input** – product name, features, benefits, target audience, tone, and primary keywords. 2. **Select Platform** – Amazon, Shopify, eBay, Etsy, or custom. 3. **Apply Platform Template** – uses platform‑specific structure and length constraints. 4. **Inject SEO** – primary keyword in title and first paragraph, secondary keywords throughout, semantic variations, meta data. 5. **Add Conversion Elements** – hook, problem, solution, benefit‑focused features, social proof, urgency, CTA. 6. **Render Output** – markdown, HTML or CSV as requested. ## Usage Examples ### Amazon Listing ```bash product-description-generator \ --product "Wireless Bluetooth Headphones" \ --features "40hr battery,noise cancelling,Bluetooth 5.3" \ --benefits "crystal clear audio,comfortable fit,fast charging" \ --tone professional \ --platform amazon \ --output amazon_listing.md ``` ### Shopify Product Page ```bash product-description-generator \ --product "Ergonomic Office Chair" \ --features "adjustable lumbar support,360° swivel,breathable mesh" \ --tone conversational \ --platform shopify \ --include-faq \ --output shopify_description.md ``` ### Bulk Generation from CSV ```bash product-description-generator \ --csv products.csv \ --platform ebay \ --output-dir ./descriptions ``` ## Platform Guidelines (see references/platforms.md) - **Amazon** – Title 150‑200 chars, 5 bullet points, 2000‑3000 char description. - **Shopify** – Title ≤70 chars, HTML description, SEO meta ≤155 chars. - **eBay** – Title ≤80 chars, HTML description, detailed item specifics. - **Etsy** – Title ≤140 chars, story‑driven description, 13 tags of 20 chars. ## Tone Options - `professional` – data‑driven, authoritative. - `conversational` – friendly, relatable. - `playful` – energetic, emoji‑friendly. - `luxury` – elegant, exclusive. ## Automation Schedule bulk runs with cron or integrate into product pipelines. See `scripts/` folder for CLI helpers. --- *Drive sales. Rank higher. Convert visitors.* --- **Created by [Simon Cai](https://github.com/simoncai519) · More e-commerce skills: [github.com/simoncai519/open-accio-skill](https://github.com/simoncai519/open-accio-skill)**


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: rishabhdugar/generate-pdf (version 1.0.0)

--- name: generate-pdf description: "Generate a PDF document from HTML content or a public URL. Supports custom page sizes, fonts, margins, viewport dimensions, dynamic parameter substitution, and multiple output formats." --- # Generate PDF ## What It Does Generates a PDF document from either raw HTML content or a public URL using a headless Chromium browser. The API renders the page and returns the result as a downloadable URL, base64 string, or raw PDF file. ## When to Use - Convert an HTML template (invoice, report, certificate) into a PDF - Take a PDF snapshot of a live webpage - Generate PDFs with dynamic data via placeholder substitution - Create PDFs with custom fonts, margins, and page sizes ## Required Inputs You must provide **one** of: - `html_content` — raw HTML string to render - `url` — a public URL to convert ## Authentication Send your API key in the `CLIENT-API-KEY` header. Get your **free API key** at [https://pdfapihub.com](https://pdfapihub.com). Full API documentation is available at [https://pdfapihub.com/docs](https://pdfapihub.com/docs). ## Use Cases - **Invoice Generation** — Generate branded PDF invoices from HTML templates with dynamic customer data - **Report Export** — Convert dashboard or analytics HTML pages into downloadable PDF reports - **Certificate Creation** — Produce personalized certificates or diplomas with dynamic name/date substitution - **Contract Generation** — Create contracts from templates with client-specific details filled in - **Resume/CV Export** — Convert styled HTML resumes to PDF for download - **Receipt Generation** — Auto-generate PDF receipts for e-commerce transactions - **Webpage Archival** — Save a snapshot of any public webpage as a PDF for records ## Key Options | Parameter | Description | |-----------|-------------| | `output_format` | `url` (default), `base64`, `file`/`pdf`/`binary` | | `paper_size` | A4, A3, A5, Letter, Legal, Tabloid | | `landscape` | `true` for landscape orientation | | `margin` | Object with `top`, `right`, `bottom`, `left` (e.g. `"10mm"`) | | `font` | Google Font names, pipe-separated | | `dynamic_params` | Key-value object for `{{placeholder}}` replacement | | `wait_till` | Seconds to wait before rendering (for JS-heavy pages) | ## Example Usage ```bash curl -X POST https://pdfapihub.com/api/v1/generatePdf \ -H "CLIENT-[REDACTED_SECRET]" \ -H "Content-Type: application/json" \ -d '{ "html_content": "<html><body><h1>Invoice #{{invoice_id}}</h1><p>Total: {{total}}</p></body></html>", "css_content": "body { font-family: Arial; }", "dynamic_params": { "invoice_id": "INV-001", "total": "$1,249.00" }, "paper_size": "A4", "output_format": "url" }' ``` ## Notes - Boolean fields accept string values: `"true"`, `"1"`, `"yes"`, `"on"` - Files are automatically deleted after 30 days - Page count limits are tier-dependent


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: bytesagain3/popover (version 1.0.0)

--- name: "popover" version: "1.0.0" description: "Generate popover UI elements and design assets. Use when building interfaces, creating visual components, or styling web pages." author: "BytesAgain" homepage: "https://bytesagain.com" source: "https://github.com/bytesagain/ai-skills" tags: [popover, frontend, cli, tool] category: "frontend" --- # popover Generate popover UI elements and design assets. Use when building interfaces, creating visual components, or styling web pages. ## Commands ### `status` ```bash scripts/script.sh status ``` Show current status ### `add` ```bash scripts/script.sh add ``` Add new entry ### `list` ```bash scripts/script.sh list ``` List all entries ### `search` ```bash scripts/script.sh search ``` Search entries ### `remove` ```bash scripts/script.sh remove ``` Remove entry by number ### `export` ```bash scripts/script.sh export ``` Export data to file ### `stats` ```bash scripts/script.sh stats ``` Show statistics ### `config` ```bash scripts/script.sh config ``` View or set config ### `help` ```bash scripts/script.sh help ``` ### `version` ```bash scripts/script.sh version ``` ## Configuration Use `scripts/script.sh config <key> <value>` to set preferences. | Variable | Description | |----------|-------------| | `POPOVER_DIR` | Data directory (default: ~/.popover/) | --- *Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]*


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: wsjwong/google-trends-rss (version 1.0.2)

--- name: google-trends description: Fetch and structure Google Trends daily trending-search data by country/region via the public RSS feed. Use when users ask for Google Trends snapshots, country comparisons, top daily searches, related news context, or export-ready trend tables (JSON/CSV/markdown) for Sheets/docs/reporting. --- # Google Trends Use this skill to get **Google Trends daily trending searches** quickly, without browser scraping. ## Quick start ```bash python scripts/google_trends_rss.py list-geos python scripts/google_trends_rss.py daily --geo HK --limit 20 --sort traffic --format table python scripts/google_trends_rss.py daily --geo US --sort traffic --format json --out /tmp/us-trends.json python scripts/google_trends_rss.py daily --geo JP --sort traffic --out /tmp/jp-trends.csv ``` ## Workflow 1. Pick geo code (`HK`, `US`, `JP`, etc.). 2. Fetch daily trends with `daily --geo <CODE>`. 3. Choose output format: - `table` for terminal quick check - `json` for downstream automation - `markdown` for chat/report paste 4. If needed, save with `--out`: - `.json` for structured pipelines - `.csv` for Sheets import ## Commands ### 1) List common geo codes ```bash python scripts/google_trends_rss.py list-geos ``` ### 2) Fetch daily trends ```bash python scripts/google_trends_rss.py daily --geo HK --limit 20 --sort traffic --format table ``` Options: - `--geo` (required): region code - `--limit` (default `20`): max trend rows - `--format` (`table|json|markdown`, default `table`) - `--sort` (`traffic|feed|recency`, default `traffic`) - `traffic`: hottest-first by `approx_traffic` - `feed`: keep RSS original order - `recency`: newest-first by pubDate - `--out`: optional file path (`.json` or `.csv`) - `--timeout` (default `20`) ## Output schema Each trend includes: - `title` - `approx_traffic` - `link` - `pub_date` - `picture` - up to 2 related news items (`title/snippet/url/source`) ## Notes - This skill targets **daily trending searches** feed (not full historical keyword timeseries). - Feed source: Google Trends RSS endpoint by geo. - Keep parsing defensive; feed fields can evolve. - For implementation details aligned to the existing connector repo, read: - `references/google-trends-connector-notes.md` ## Resources - Script: `scripts/google_trends_rss.py` - Reference: `references/google-trends-connector-notes.md`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: laigen/trump-truth-social-tracker (version 1.0.0)

--- name: trump-truth-social-tracker description: 跟踪特朗普 Truth Social 帖子数据。从 CNN 归档 API 获取数据并同步到本地 SQLite 数据库，支持查询、统计和分析。触发场景：(1) 用户要求同步/更新 Truth Social 数据 (2) 查询特朗普帖子内容、互动数据 (3) 分析帖子趋势或统计信息 (4) 用户提到"Truth Social"、"特朗普推文"相关关键词。 --- # Truth Social Tracker 跟踪特朗普在 Truth Social 平台的帖子，数据来源为 CNN 归档 API。 ## 数据源 - **URL**: `https://ix.cnn.io/data/truth-social/truth_archive.json` - **更新频率**: CNN 实时更新 - **字段**: id, created_at, content, url, media, replies_count, reblogs_count, favourites_count ## 数据库 - **路径**: `~/.openclaw/workspace/temp/trump_truth_social.sqlite` - **表名**: `truth_posts` - **主键**: id - **只保存**: 有内容（content 非空）的帖子 ### 表结构 ```sql CREATE TABLE truth_posts ( id TEXT PRIMARY KEY, created_at TEXT, content TEXT NOT NULL, url TEXT, replies_count INTEGER, reblogs_count INTEGER, favourites_count INTEGER, media TEXT, fetched_at TEXT ); ``` ## 使用方法 ### 同步数据 ```bash # 全量同步 python3 ~/.openclaw/workspace/skills/trump-truth-social-tracker/scripts/sync_truth_social.py # 增量同步（最多10条新帖子） python3 ~/.openclaw/workspace/skills/trump-truth-social-tracker/scripts/sync_truth_social.py --incremental 10 --alert # 增量同步 + 预警 + 写入 report 文件 python3 ~/.openclaw/workspace/skills/trump-truth-social-tracker/scripts/sync_truth_social.py --incremental 10 --alert --write-report --output-json ``` 输出统计信息：总帖子数、时间范围、互动总数。 ### 查询数据 ```bash # 使用 sqlite3 查询 sqlite3 ~/.openclaw/workspace/temp/trump_truth_social.sqlite # 常用查询示例 SELECT content, created_at, favourites_count FROM truth_posts ORDER BY favourites_count DESC LIMIT 10; SELECT * FROM truth_posts WHERE content LIKE '%Iran%' ORDER BY created_at DESC; SELECT COUNT(*) FROM truth_posts; ``` ## 脚本 ### scripts/sync_truth_social.py 核心同步脚本，功能： 1. 获取 CNN 归档 JSON 2. Upsert 到 SQLite（INSERT OR REPLACE） 3. 过滤无内容帖子 4. 输出统计信息 **参数**: - `--db-path`: 自定义数据库路径 - `--json-url`: 自定义数据源 URL - `--incremental N`: 增量同步，最多 N 条新帖子 - `--alert`: 检测金融市场影响关键词 - `--write-report`: 将预警写入 `reports/trump_truth_social_alerts.md` 文件 - `--output-json`: JSON 格式输出 **示例**: ```bash # 全量同步 python3 sync_truth_social.py # 增量同步 + 预警检测 python3 sync_truth_social.py --incremental 10 --alert # 心跳任务使用（增量 + 预警 + 写入 report） python3 sync_truth_social.py --incremental 10 --alert --write-report --output-json ``` ## 报告文件 预警信息持续追加到： `~/.openclaw/workspace/reports/trump_truth_social_alerts.md`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: dinghaibin/groups-tool (version 1.0.0)

--- name: groups-tool description: Display user group memberships on the system. Shows all groups a user belongs to for permission auditing and access control verification. --- # Groups - User Group Membership Checker Display all group memberships for the current user or a specified system user. Group membership determines file access permissions and sudo privileges on Unix-like systems. ## Usage ```bash groups-tool [options] [username] ``` When called without arguments, shows groups for the current user. Specify a username to check another user's memberships. ## Examples ```bash # Show groups for current user groups-tool # Show groups for a specific user groups-tool www-data # Show numeric group IDs groups-tool -id ``` ## Notes Groups are read from /etc/group and can include both primary and supplementary group memberships. Changes to group membership take effect on next login.

path: scripts/groups.py
content: #!/usr/bin/env python3
import os, grp
for g in grp.getgrall():
    if os.getlogin() in g.gr_mem:
        print(g.gr_name)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: xinhao-96/story-audio-adapter (version 1.0.0)

--- name: story-audio-adapter description: > Use when: 用户希望把带有 `[角色]文本` 标记的小说、剧本、故事台词转成多角色有声作品时触发。 适用于旁白、人物对白、角色 ID 已标注清楚的文本内容。Skill 会读取可编辑音色库，分析角色数量与性格特征，匹配最接近的音色，逐段调用 SenseAudio TTS，最后拼接为完整音频并以 `MEDIA:./...` 形式返回给 Feishu/OpenClaw。 metadata: {"clawdbot":{"emoji":"🎙️","requires":{"bins":["python3"],"env":["SENSEAUDIO_API_KEY"]},"primaryEnv":"SENSEAUDIO_API_KEY"}} --- # Story Audio Adapter 你是“小说/故事有声化”执行助手。这个 Skill 只负责把结构化故事文本变成完整音频作品，并输出适合 Feishu 渠道消费的媒体引用。 ## 何时使用 当用户有这些意图时触发： - “把这段小说做成有声版” - “按角色配音这段故事” - “旁白和角色对白分别配不同音色” - “根据 `[旁白]` `[男主角1]` 这种标记生成完整音频” - “输出可直接发到 Feishu 的故事音频” 如果用户只是讨论音色设计、Prompt 写法或 API 参数含义，不要直接执行脚本。 ## 最高优先级规则 1. 必须优先读取 `references/voice_library.json`，把它视为当前唯一有效音色库。 2. 音色库必须保持“用户可编辑”，不要把可配音色硬编码在回复里替代配置文件。 3. 输入文本默认使用 `[角色名]内容` 结构；未标注角色的纯文本默认视为 `旁白`。 4. 角色分析必须先统计角色数量，再总结每个角色的人设、年龄感、情绪气质、叙述功能。 5. 音色匹配必须基于文本证据和音色描述，不得随意拍脑袋指定。 6. TTS 必须调用 SenseAudio 官方接口，不得切到本地系统音色或其他第三方服务。 7. 最终完整作品默认输出 `wav`，因为本 Skill 依赖 Python 原生能力稳定拼接分段音频。 8. 每段文本单独生成音频，再按原文顺序拼接；不要把整篇文本直接扔给单一音色。 9. 当脚本输出 `MEDIA:./...` 时，最终回复必须包含这行原样内容，供 OpenClaw/Feishu 解析媒体。 10. 如果 `SENSEAUDIO_API_KEY` 未配置，必须明确报错并停止，不要伪造成功结果。 11. 如果文本或分段超出接口限制，要明确提示用户缩短文本或拆分内容，不要静默截断。 12. 当角色数多于音色库可区分能力时，优先保证主角色和旁白的音色区分，次要角色可以复用近似音色，但要在分析结果中说明。 ## 目录约定 - `scripts/main.py`：统一 CLI - `references/voice_library.json`：用户可编辑音色库 - `references/role_analysis_prompt.md`：角色分析与音色匹配提示词 - `outputs/`：默认输出目录 ## 默认音色库 初始音色库包含这些 voice： - `child_0001_a`：开心的可爱萌娃 - `child_0001_b`：平稳的可爱萌娃 - `male_0004_a`：儒雅道长 - `male_0018_a`：沙哑青年 用户后续可以直接编辑 `references/voice_library.json` 增删音色，不需要改脚本。 ## 标准执行流程 ### 步骤 1：检查配置 ```bash python3 ./scripts/main.py auth-check ``` 如果缺少 `SENSEAUDIO_API_KEY`，直接提示用户设置： ```bash export SENSEAUDIO_API_KEY="YOUR_API_KEY" export SENSEAUDIO_API_BASE="https://api.senseaudio.cn" ``` ### 步骤 2：查看当前音色库 ```bash python3 ./scripts/main.py list-voices ``` 如需扩展音色，优先让用户编辑 `references/voice_library.json`。 ### 步骤 3：解析文本并做角色分析 读取： - `references/role_analysis_prompt.md` - 用户提供的故事文本 - `references/voice_library.json` 先输出： - 角色列表 - 每个角色的性格/语气/叙述职责总结 - 为何匹配到某个音色 如需脚本生成可落盘的分析结果： ```bash python3 ./scripts/main.py analyze --text-file "/path/to/story.txt" ``` ### 步骤 4：按角色逐段合成 ```bash python3 ./scripts/main.py synthesize-story \ --text-file "/path/to/story.txt" ``` 这一步会： - 解析 `[角色]内容` - 自动生成角色到音色的映射 - 为每段内容单独调用 TTS - 保存分段音频和元数据 - 拼接成完整 `wav` ### 步骤 5：返回 Feishu 媒体 脚本完成后会输出： - 角色分析 JSON - 音色映射 JSON - 分段清单 JSON - 完整作品路径 - 一行 `MEDIA:./...` 最终回复里必须保留 `MEDIA:./...` 这一行，不要只转述文件路径。 ## 推荐工作方式 处理真实请求时按下面顺序： 1. 读取音色库 2. 解析文本结构 3. 读取 `references/role_analysis_prompt.md` 4. 先给出角色分析和音色匹配 5. 调用 `scripts/main.py synthesize-story` 6. 回复用户： - 角色与音色匹配结果 - `MEDIA:./...` - 如需要，再附完整作品路径与分析文件路径 ## 输入格式约定 推荐输入格式： ```text [旁白]夜色很深，街道上只剩风声。 [男主角1]我知道你一定会来。 [女主角1]你还是和以前一样，太自信了。 ``` 兼容规则： - 支持多行文本 - 支持同一角色多次出现 - 空行会被忽略 - 未带 `[角色]` 的行会并入 `旁白` ## 失败处理 - `401/403`：API Key 无效或无权限 - `429`：请求过频，提示稍后重试 - 单段文本过长：提示用户拆段 - 音色库为空：提示用户先编辑 `references/voice_library.json` - 完整作品未生成 `MEDIA:./...`：至少返回本地路径并说明原因


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: akhil-naidu/dokku (version 0.0.1)

--- name: dokku description: Installs, upgrades, and uses Dokku to create apps, deploy, run one-off/background tasks, and clean up containers. Use when the user asks to install or upgrade Dokku, deploy to Dokku, install an app, run something in the background, or clean up Dokku/containers. Trigger terms: dokku, install dokku, upgrade dokku, migration guide, deploy, cleanup, prune, containers. metadata: {"openclaw":{"requires":{"bins":["dokku"]}}} --- # Dokku Dokku is a PaaS; commands run on the Dokku host (SSH or local). Prefer running long operations (deploys, builds) in the **background** — use exec with `background: true` or short `yieldMs` when the tool allows. ## Section index Detailed command syntax and examples live in each section file. Read the relevant file when performing that category of task. | Section | File | Commands / topics | | -------------------------- | ------------------------------------------ | ------------------------------------------------------------- | | Apps | [apps/commands.md](apps/commands.md) | create, destroy, list, rename, clone, lock, unlock, report | | Config | [config/commands.md](config/commands.md) | get, set, unset, export | | Domains | [domains/commands.md](domains/commands.md) | add, set, remove, set-global, report | | Git / deploy | [git/commands.md](git/commands.md) | from-image, set, deploy-branch, git push | | Run (one-off / background) | [run/commands.md](run/commands.md) | run, run:detached | | Logs | [logs/commands.md](logs/commands.md) | logs, logs:failed, logs:set | | Process (ps) | [ps/commands.md](ps/commands.md) | scale, rebuild, restart, start, stop | | Plugin | [plugin/commands.md](plugin/commands.md) | list, install, update, uninstall | | Certs | [certs/commands.md](certs/commands.md) | add, remove, generate | | Nginx | [nginx/commands.md](nginx/commands.md) | build-config, show-config, set | | Storage | [storage/commands.md](storage/commands.md) | mount, list | | Network | [network/commands.md](network/commands.md) | report, bind-all-interfaces | | **Install** | [install/commands.md](install/commands.md) | Installing Dokku (bootstrap, post-install, alternatives) | | **Upgrade** | [upgrade/commands.md](upgrade/commands.md) | Upgrading Dokku; check migration guides before upgrading | | **Cleanup** | [cleanup/commands.md](cleanup/commands.md) | Cleaning up Dokku and containers (prune, builder prune, apps) | ## Quick reference - **Create app:** `dokku apps:create <app-name>` - **Deploy (git):** Add remote `dokku@<host>:<app-name>`, then `git push dokku <branch>:master` - **Deploy (image):** `dokku git:from-image <app> <docker-image>` - **Run in background (Dokku):** `dokku run:detached <app> <cmd>` or `dokku run --detach <app> <cmd>` - **Agent-side background:** For long deploys/installs, run the shell command via exec with `background: true` or short `yieldMs`; poll or check logs as needed. For full command details and options, see the section files above.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (MEDIUM)
Skill: duanc-chao/uber (version 1.0.0)

### 技能名称：Uber 全球出行向导 ### 技能描述 本技能旨在指导 Agent 协助用户在全球范围内高效、安全地使用 Uber 出行服务。Agent 需掌握从账户注册、车型选择、行程预订到安全设置及支付管理的全流程知识。该技能特别强调跨文化场景下的使用细节（如海外打车）、安全功能的实际应用以及常见问题的解决方案，确保用户无论是处理日常通勤还是在陌生城市探索，都能获得流畅的乘车体验。 ### 核心指令集 #### 1. 账户注册与基础设置 在用户首次使用时，指导其完成必要的初始化步骤： - **下载与注册：** 引导用户从 App Store 或 Google Play 下载应用。注册时需提供姓名、手机号、邮箱及语言偏好。 - **支付方式绑定：** 强调必须绑定有效的支付方式（信用卡、借记卡或支付宝等本地化支付工具）。 - **提示：** 告知用户 Uber 为无现金支付平台，上车前需确保支付渠道畅通。 - **优惠码使用：** 指导用户在“钱包”或注册页面输入邀请码以获取首乘优惠，并说明优惠券的抵扣规则。 #### 2. 叫车流程与车型选择 指导用户如何精准地发起行程： - **目的地输入：** 在“您想去哪里？”栏输入目的地。若位置不准，指导用户通过拖拽地图大头针微调上车点。 - **车型匹配策略：** 根据用户需求推荐合适的车型： - **UberX：** 经济实惠，适合 1-4 人的日常出行。 - **Uber Black：** 高端豪华轿车，适合商务接待或追求舒适体验。 - **UberXL：** 适合 6 人以上团体或携带大件行李。 - **Uber Taxi：** 呼叫当地正规出租车，通过 App 支付。 - **价格与时间确认：** 提醒用户在确认叫车前查看预估价格和到达时间。若处于高峰期（价格飙升），建议稍作等待或选择拼车（如可用）。 #### 3. 行程中的安全与互动 强化安全意识，确保用户的人身与财产安全： - **上车前核对：** 必须核对 App 显示的司机姓名、车牌号、车型及司机评分。若信息不符，切勿上车。 - **行程分享：** 指导用户使用“分享行程状态”功能，将实时位置和预计到达时间发送给亲友。 - **车内互动：** 建议用户坐在后排。若需联系司机，使用 App 内的匿名通话功能。 - **中途加站：** 若需中途停留，指导用户在行程开始前或进行中点击“+”号添加最多 2 个停靠点。 #### 4. 支付、评分与售后 完善行程结束后的闭环操作： - **自动扣款：** 说明行程结束后费用会自动从绑定账户扣除，无需现金交易（除小费外）。 - **评分与小费：** 鼓励用户根据体验为司机打分（1-5星）。若服务出色，可在 App 内添加小费。 - **失物招领：** 若遗落物品，指导用户通过 App 的“帮助”页面联系司机或客服找回失物。 #### 5. 高级功能与特殊场景 - **预约行程：** 指导用户点击车辆选项旁的时钟图标，提前最多 30 天预约行程，适合赶飞机或重要会议。 - **为他人叫车：** 演示如何切换乘客身份，输入亲友的手机号，让司机直接联系乘车人，适合帮助不熟悉操作的长辈或朋友叫车。 - **海外使用：** 提醒用户出国时无需更换 App，Uber 在全球 1 万多个城市通用，但需注意当地特有的车型或支付习惯（如部分地区支持现金支付）。 ### 常见问题排查 #### “找不到司机”或“等待时间过长” - **诊断：** 可能是当前位置偏僻、高峰期需求过大或网络信号差。 - **解决：** 建议用户移动到主干道或地标性建筑附近；检查网络连接；或尝试切换车型（如从 UberX 切换到 Uber Black）。 #### 价格与预估不符 - **诊断：** 实际路线偏离、中途停留时间过长或终点变更。 - **解决：** 指导用户在 App 内查看行程明细（收据），若对费用有异议，通过“帮助”页面申请费用审查。 #### 司机绕路 - **诊断：** 司机未按导航行驶。 - **解决：** 建议用户礼貌询问司机路线选择。若确认恶意绕路，行程结束后在 App 内反馈“我的路线有问题”以申请调整费用。 ### 技能扩展建议 #### 商务版 Uber for Business 扩展技能以支持企业用户，指导如何设置公司账户、管理员工出行权限及查看企业账单。 #### 无障碍出行 增加对无障碍车辆（WAV）的指导，帮助残障人士或携带轮椅的用户顺利叫车。 #### 环保出行选项 在支持绿色出行的地区，指导用户选择 Uber Green（电动车或混合动力车），并解释相关的环保激励政策。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: edwardrodriguez703-design/book-detailing (version 1.0.1)

--- name: book-detailing description: Book detailing services through Lokuli MCP. Use when user needs to find and book detailing. Triggers on requests like "book a detailing", "find detailing near me", or any detailing service request. --- # uook detailing Book detailing services through Lokuli's MCP server. ## MCP Endpoint ``` https://lokuli.com/mcp/sse ``` Transport: SSE | JSON-RPC 2.0 | POST requests ## Tools ### search ```json { "method": "tools/call", "params": { "name": "search", "arguments": { "query": "detailing", "zipCode": "90640", "maxResults": 20 } } } ``` ### check_availability ```json { "method": "tools/call", "params": { "name": "check_availability", "arguments": { "providerId": "xxx", "serviceId": "yyy", "date": "2025-02-10" } } } ``` ### create_booking ```json { "method": "tools/call", "params": { "name": "create_booking", "arguments": { "providerId": "xxx", "serviceId": "yyy", "timeSlot": "2025-02-10T14:00:00-08:00", "customerName": "John Doe", "customerEmail": "[REDACTED_SECRET]", "customerPhone": "+13105551234" } } } ```


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