OpenClaw/clawhub-security-signals huggingface dataset:
Skill: 1477009639zw-blip/brand-voice-generator (version 1.0.0)

--- name: brand-voice-generator description: Creates consistent brand voice guidelines and content. Generates copy that matches your brand personality across all channels. Perfect for startups building their identity. metadata: openclaw: emoji: "🎨" requires: bins: [python3] always: false --- # Brand Voice Generator Create consistent, distinctive brand communication across all channels. ## What You Get ### Voice Attributes - 5 core personality traits - Tone variations (formal/casual/technical) - Language principles (what to say / what NOT to say) - Example phrases ### Content Examples - Homepage hero copy - Product descriptions - Email templates - Social media posts - FAQ answers ### Do's and Don'ts - Specific word choices - Sentence structure preferences - Humor guidelines - Technical level guidance ## Usage ```bash python3 voice.py --brand "FinTech startup" --tone professional python3 voice.py --brand "Gaming app" --tone casual ``` ## Example Output Brand: Professional FinTech - Voice: Confident, clear, trustworthy - Avoid: Jargon, hype, complexity - Sentence: Short, direct, action-oriented --- *Built by Beta*

path: voice.py
content: #!/usr/bin/env python3
import argparse
def main():
    p = argparse.ArgumentParser()
    p.add_argument('--brand', required=True)
    p.add_argument('--personality', default='bold,smart')
    args = p.parse_args()
    traits = [t.strip() for t in args.personality.split(',')]
    print(f"""🎨 BRAND VOICE: {args.brand}
{'='*60}

## BRAND PERSONALITY
""")
    for t in traits:
        print(f"- {t.upper()}")
    print(f"""
## TONE GUIDE
| Situation | Do | Don't |
|-----------|-----|-------|
| Marketing | Confident, clear | Jargon, vague |
| Support | Empathetic, helpful | Dismissive, technical |
| Social | Engaging, brief | Salesy, long |

## VOCABULARY
Use: {traits[0].title()}, innovative, proven, results
Avoid: Maybe, possibly, try, hope

## SAMPLE CONTENT
"{args.brand} — because {traits[0]} beats {traits[1] if len(traits)>1 else 'uncertainty'}."
""")
if __name__ == '__main__':
    main()


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zwh0709/my-first-skill (version 1.0.0)

# 招标项目分析技能 ## 技能描述 这是一个用于分析和管理招标项目的技能，支持从Excel文件提取招标信息、存储到MySQL数据库、并提供查询分析功能。 ## 适用场景 当用户需要： - 分析招标公告文件 - 管理招标项目信息 - 查询招标数据库 - 跟踪项目时间节点 - 生成招标分析报告 ## 技能功能 1. **Excel数据提取**：从招标公告Excel文件中提取关键信息 2. **数据库管理**：将招标信息存储到MySQL数据库 3. **智能查询**：提供多种查询方式分析招标数据 4. **时间提醒**：自动跟踪项目时间节点和待办事项 5. **报告生成**：生成招标分析报告和统计图表 ## 使用方法 ### 基础使用 ``` 分析这个招标文件 ``` ### 数据库操作 ``` 将Excel数据导入数据库 查询招标项目 查看待办事项 ``` ### 统计分析 ``` 生成招标统计报告 按省份分析项目 查看高价值项目 ``` ## 技术依赖 - MySQL数据库 - Python 3.x - pandas库 - mysql-connector-python库 ## 配置文件 技能需要以下配置： ```json { "mysql_host": "localhost", "mysql_port": 3306, "mysql_user": "root", "mysql_password": "your_password", "mysql_database": "bid_analysis_db" } ``` ## 示例对话 **用户**: 分析这个招标文件 **技能**: 正在读取招标文件...已提取项目基本信息：项目名称、招标单位、预算金额等。是否需要导入数据库？ **用户**: 查询辽宁省的招标项目 **技能**: 正在查询数据库...找到3个辽宁省的招标项目，总金额850万元。是否需要详细列表？ **用户**: 查看本周待办 **技能**: 本周有2个待办事项：1. 获取招标文件截止（3月30日）2. 投标截止（4月10日） ## 注意事项 1. 确保MySQL服务正常运行 2. Excel文件需要符合指定格式 3. 首次使用需要配置数据库连接 4. 定期备份数据库数据 ## 更新日志 - v1.0.0 (2026-03-24): 初始版本发布 - 功能：Excel解析、数据库存储、基础查询 ## 作者信息 - 作者：迢迢 - 邮箱：[REDACTED_SECRET] - 仓库：https://clawhub.com/skills/my-first-skill ## 许可证 MIT License


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: jeizzon/yarn-threads-cli (version 0.1.3)

--- name: yarn-threads description: Interact with Threads (by Meta) via the yarn-threads-cli. Use when the user wants to read their home feed, likes, saved posts, or a specific thread; look up a profile; search users; or post, reply, or quote on Threads. Requires yarn-threads-cli installed (npm install -g yarn-threads-cli). Auth via Chrome/Firefox profile (the user just needs to be logged in) or manual session tokens. --- # yarn-threads CLI for Threads (by Meta). Supports reading, browsing, and posting. ## Installation ```bash npm install -g yarn-threads-cli ``` Verify: ```bash yarn-threads --version ``` ## Auth Three options (in order of preference): - **Chrome profile (recommended)** - **Firefox profile** - **Manual tokens** (from browser DevTools → Application → Cookies on threads.net) Refer to the [yarn-threads-cli documentation](https://github.com/jeizzon/yarn-threads-cli) for more information on how to set up authentication. Verify auth: `yarn-threads whoami` ## Key Commands ```bash # Browse yarn-threads home # Home feed yarn-threads likes # Your liked posts yarn-threads saved # Your saved/bookmarked posts # Read yarn-threads read <url-or-code> # Single post yarn-threads thread <url-or-code> # Post + all replies yarn-threads replies <url-or-code> # Replies only # Profiles yarn-threads about <handle> # User profile info yarn-threads user-posts <handle> # User's posts yarn-threads followers <handle> # User's followers yarn-threads following <handle> # Who user follows # Search yarn-threads search <query> # Search users # Post / Engage yarn-threads post "text" # Create new post yarn-threads reply <url-or-code> "text" # Reply to a post yarn-threads quote <url-or-code> "text" # Quote a post ``` ## Output Flags - `--json` — structured JSON output (use for parsing media URLs, metadata) - `--plain` — stable plain text, no emoji/color (good for piping) - `--json-full` — includes raw API response (debugging) ## Pagination Feed/list commands support: - `--all` — fetch all pages - `--max-pages <n>` — limit pages - `--cursor <cursor>` — start from a specific page cursor ## Media When using `--json`, posts include CDN URLs for images and videos in the media fields. Analyze these with the `image` tool for visual context. ## Examples ```bash # Get last 2 pages of likes as JSON yarn-threads likes --max-pages 2 --json # Read a specific thread yarn-threads read https://www.threads.net/@user/post/abc123 # Post with restricted replies yarn-threads post "Hello Threads" --reply-control accounts_you_follow # Get a profile yarn-threads about zuck ``` See references/commands.md for full flag reference per command.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: 2389275723/feishu-calendar-scheduler (version 1.0.0)

--- name: feishu-calendar-scheduler description: 飞书智能日历调度器 - 自动推荐最佳会议时间，批量管理日程，生成会议报表 homepage: https://clawhub.com/skills/feishu-calendar-scheduler metadata: { "openclaw": { "emoji": "📅", "requires": { "tools": ["feishu_calendar_event", "feishu_calendar_calendar"] }, "price": { "monthly": 99, "currency": "CNY", "trialDays": 7 } }, } --- # 飞书智能日历调度器 为企业提供智能会议时间推荐和批量日程管理服务。 ## 功能特点 ### 🕒 智能时间推荐 - 基于规则的时间推荐算法 - 避开已知繁忙时段 - 考虑时区和工作日设置 - 多参会人时间协调 ### 📊 批量会议管理 - 批量创建、修改、取消会议 - 自动发送会议邀请 - 参会人状态跟踪 - 会议模板管理 ### 📈 报表分析 - 会议参与率统计 - 时间利用率分析 - 效率改进建议 - 导出 Excel/PDF 报告 ### 🔗 集成扩展 - 与飞书文档、多维表格集成 - 支持自定义工作流 - API 接口调用 - 第三方系统集成 ## 安装使用 ### 安装要求 - OpenClaw 已配置飞书插件 - 用户拥有飞书日历访问权限 ### 快速开始 ```bash # 通过 ClawHub 安装 clawhub install feishu-calendar-scheduler # 或手动安装到 skills 目录 ``` ### 基础使用 ```bash # 推荐会议时间 openclaw skill feishu-calendar-scheduler recommend \ --start "2026-03-17T09:00:00+08:00" \ --end "2026-03-17T18:00:00+08:00" \ --duration 60 \ --attendees "ou_xxx,ou_yyy" # 批量创建会议 openclaw skill feishu-calendar-scheduler batch-create \ --template "周会模板" \ --start-date "2026-03-17" \ --weeks 4 \ --attendees "团队全员" # 生成会议报表 openclaw skill feishu-calendar-scheduler report \ --month 2026-03 \ --output excel ``` ## 定价策略 ### 免费试用 - 7天免费试用期 - 最多10个会议 - 基础功能 ### 专业版 ¥99/月 - 无限会议数量 - 所有智能功能 - 高级报表 - 技术支持 ### 企业版 ¥499/月 - 多团队管理 - API 访问权限 - 定制化开发 - 优先支持 ## 技术架构 - **核心引擎**：基于规则的时间调度算法 - **数据存储**：飞书多维表格 + 本地缓存 - **用户界面**：命令行 + 飞书机器人 - **部署方式**：OpenClaw 插件形式 ## 开发计划 ### v1.0（当前） - 基础时间推荐 - 简单会议管理 - 命令行界面 ### v1.1（1个月后） - 飞书机器人集成 - 图形化配置界面 - 更多报表类型 ### v1.2（2个月后） - API 开放接口 - 第三方系统集成 - 高级算法优化 ## 支持与帮助 - 文档：https://docs.clawhub.com/skills/feishu-calendar-scheduler - 支持：[REDACTED_SECRET] - 社区：https://discord.com/invite/clawd ## 许可证 商业许可证 - 需要购买订阅后使用 --- **开始7天免费试用**：安装后自动开始试用期，试用期满后需要购买订阅。


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: codenova58/agent-arch (version 1.0.0)

--- name: agent-arch description: "Agent loops, memory, tools, and safety boundaries. Use when designing AI agents." --- # Agent Architecture Skill This skill provides structured guidance for **Agent Architecture** work. Act as an active guide: confirm triggers, propose the stages below, and adapt if the user wants a lighter pass. ## When to Offer This Workflow **Trigger conditions:** - User mentions **agent architecture** or closely related work - They want a structured workflow rather than ad-hoc tips - They are preparing a review, rollout, or stakeholder communication **Initial offer:** Explain the four stages briefly and ask whether to follow this workflow or work freeform. If they decline, continue in their preferred style. ## Workflow Stages ### Stage 1: Clarify context & goals Anchor on **goals, tools, and constraints**. Ask what success looks like, constraints, and what must not break. Capture unknowns early. ### Stage 2: Design or plan the approach Translate goals into a concrete plan around **memory and state**. Compare alternatives and explicit trade-offs; avoid implicit assumptions. ### Stage 3: Implement, validate, and harden Execute with verification loops tied to **planning loops and stopping**. Prefer small steps, measurable checks, and rollback points where risk is high. ### Stage 4: Operate, communicate, and iterate Close the loop with **safety monitoring**: monitoring, documentation, stakeholder updates, and lessons learned for the next cycle. ## Checklist Before Completion - Goals and constraints are explicit for **Agent Architecture Skill** - Risks and trade-offs are stated, not hand-waved - Verification steps match the change’s impact (tests, canary, peer review) - Operational follow-through is covered (monitoring, docs, owners) ## Tips for Effective Guidance - Be procedural: stage-by-stage, with clear exit criteria - Ask for missing context (environment, scale, deadlines) before prescribing - Prefer checklists and concrete examples over generic platitudes - If the user declines the workflow, switch to freeform help without lecturing ## Handling Deviations - If the user wants to skip a stage: confirm and continue with what they need. - If context is missing: ask targeted questions before strong recommendations. - Prefer concrete examples, trade-offs, and verification steps over generic advice. ## Quality Bar - Each recommendation should be **actionable** (what to do next). - Call out **failure modes** relevant to Agent Architecture (security, scale, UX, or ops). - Keep tone direct and respectful of the user’s time.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zvirb/google-docs-create-document (version 1.0.2)

--- name: Google Docs Create Document description: Atomic node skill to create a Google Doc using the gog CLI. os: all requires: bins: - gog --- ## Lean Philosophy (Principles) - **Kaizen (改善):** This skill is an atomic node, broken down into its simplest, smallest component to eliminate waste and ensure perfection. - **Standardized Work (Hyojun Sagyo):** This node represents the most efficient, standardized path for this specific task before automation. - **Jidoka (自働化):** This node includes autonomous defect detection. It relies on the CLI's self-healing loop and will report errors if the creation fails. # Google Docs Create Document This skill allows the agent to create a new Google Document using the native CLI. ## Cognitive Directives WHEN [A new Google Doc needs to be created] THEN [Execute the native terminal command `gog docs create <title> --json`] ## Schema Example ```json { "command": "gog docs create \"My New Document\" --json" } ``` ## Expected Output A JSON object with the new document ID and details.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: codekungfu/toutiao-trending (version 0.1.0)

--- name: toutiao-hot-trend description: 注册“今日头条”热门技能；当需要访问或自动化今日头条相关内容时调用。 homepage: `https://www.toutiao.com/` metadata: {"clawdbot":{"emoji":"🔥"}} --- # 今日头条 用途与边界 - 面向公开文章/视频/话题页的检索与内容摘要 - 不提供接口逆向或批量抓取能力 - 仅用于公开页面的轻量分析与提醒 关键入口 - 主页：https://www.toutiao.com/ - 热点/视频频道：频道入口 - 搜索入口：https://www.toutiao.com/search 常见任务 - 指定关键词的文章/视频集合摘要（标题、作者、发布时间、互动） - 热点频道的条目分布与题材统计 - 视频内容的标题与简介摘要 数据字段 - 标题、作者、来源、发布时间、正文摘要/简介、标签、链接 - 互动指标（评论/点赞/收藏/分享，如公开展示） - 频道名称、采集时间、来源链接 自动化要点 - 动态渲染与反爬，建议人工打开后触发解析 - 频率控制，不进行批量抓取；结果标注采集时间 - 视频页解析仅获取公开元信息，不进行下载 示例流程 - 关键词摘要：输入关键词 → 搜索 → 抽取条目 → 输出摘要清单 - 频道统计：访问频道 → 抽取条目 → 题材分布与来源统计 - 视频摘要：访问视频页 → 解析标题/简介/互动 → 输出摘要 合规提示 - 遵守平台规则，不进行接口调用或批量采集 - 不进行视频下载或去水印


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: wesdaliang/xqant-fund-research (version 1.0.0)

--- name: xqant-fund-research description: 面向蚂蚁（支付宝）等下沉互联网渠道的基金投研与营销全链路赋能专家。专注于客观业绩归因、底层持仓逻辑拆解、规模反噬效应分析，并结合蚂蚁用户舆情提供克制、可落地的营销干预方法论。 --- # 蚂蚁渠道基金营销与投研专家 (XQ-Ant Fund Research) ## 核心定位 本 Skill 旨在打通“基金底层投研”与“一线互联网财富运营”的断层。通过客观数据比对与深度基本面剖析（占80%篇幅），为最终的营销动作和渠道资源分配（占20%篇幅）提供弹药和底气。尤其注重蚂蚁财富等下沉渠道的用户画像（散户化、看重短期盘中估值、追涨杀跌）。 ## 执行工作流 (Workflow) 当被要求分析某只基金（特别是遭遇赎回或需要营销包装时），必须严格按照以下四大模块、使用专业克制的机构投研口吻进行输出： ### 一、 核心持仓逻辑与个股配置动因 (占比约 30%) 1. **重仓股拆解**：列出最新核心重仓股，并按产业链/赛道归类。 2. **看好逻辑**：深入论述配置这些个股的底层商业逻辑（如：AI算力周期、国产替代、端侧AI换机潮、红利防御等）。 3. **规模效应影响**：明确分析该基金当前的 AUM（管理规模）对其调仓频率、流动性约束及选股下沉能力（能否买中小盘）的实质影响。 4. **主动 vs 被动阶段优势**：对比相关纯主题/赛道被动 ETF，论述该主动基金目前的“跨行业混配”或“去弱留强”是否具备阶段性比较优势。 ### 二、 客观业绩归因与市场适配度 (占比约 30%) 1. **数据规范**：**必须明确标注数据截至日期及数据来源（如天天基金、同花顺等公开接口）**。 2. **多维比对**：拉取该基金的近1月、近6月、近1年、近3年等客观收益。 3. **对比维度**：必须与“大盘宽基（如沪深300）”、“同赛道纯被动ETF”以及“同生态位的其他老将/顶流产品”进行横向拉踩比对。 4. **市场适配度定调**：基于上述归因，客观评价其当前表现是“踩中风口”、“逆风死扛”还是“Alpha失效”。 ### 三、 蚂蚁渠道专属舆情温度计 (占比约 20%) 1. **下沉用户视角**：不能用传统机构视角。需精准还原支付宝讨论区、天天基金股吧等下沉小白用户的典型情绪。 2. **核心槽点还原**： - 是否存在“偷净值/老鼠仓”的误解？（源于不了解混合基的持仓对冲或季报滞后）。 - 是否属于“套牢三年，刚回本就想跑”的解套赎回？ - 是否存在与单一极高弹性赛道（如纯半导体/纯信创）的不对等拉踩？ ### 四、 渠道营销与运营干预建议 (占比约 20%) 1. **基调**：保持专业、冷静、克制。摒弃情绪化洗脑话术，回归“预期管理与客群置换”。 2. **实操方法论（资源分配与 ROI 对比）**： 给出多种运营手段的对比建议（防守止血 vs 进攻换血）： - **支付宝讨论区/基础内容维护**：低预算。不灌鸡汤，只做硬核科普（澄清持仓误解），稳住预期。 - **外部大V/投顾深度发文**：中高预算。用于“重新定调”，把基民眼中的“风格漂移”合理包装为“顺应时代的主动进化”。 - **支付宝端内展位/金选曝光**：零预算但极耗BD资源（高ROI）。基于客观优秀业绩，强势承接新资金，通过置换客群（洗掉旧的稳健资金，换入风险偏好高的科技资金）解决存量流失。 - **小红书/泛财经种草**：评估其与当前基金高波动属性的匹配度（通常建议暂缓或低配）。 ## 输出要求 - **专业克制**：拒绝使用“吊打”、“碾压”、“神仙基金”等饭圈/过度营销词汇。 - **客观数据支撑**：营销动作必须建立在第二部分的数据结论之上。没有业绩支撑的干预建议是没有意义的。


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

--- name: flower-study-starter displayName: 新手学养花 description: 帮用户用低门槛方式学习常见花卉，重点回答怎么选花、怎么养活，以及刚开始最容易踩的坑。 version: 1.1.0 tags: flowers, beginner, home-gardening, learning, starter --- # 新手学养花 这是一个给新手使用的花卉学习技能。 它不追求百科式覆盖，而是解决三个最常见的问题： - 不知道该养什么花 - 知道花名，但不知道怎么养活 - 花已经出问题了，不知道先查哪里 ## 使用目标 当用户提出与花卉学习有关的问题时，优先做到下面几件事： - 帮用户判断花卉难度 - 解释最关键的养护条件 - 把建议变成可以马上执行的动作 - 避免把新手带进复杂术语和无效细节 ## 适合处理的问题 - 适合新手养的花有哪些 - 某种花应该怎么养 - 室内或阳台适合养什么花 - 花为什么黄叶、萎蔫、不开花 - 帮我做一份花卉学习提纲 - 帮我整理成简单易记版 ## 回答方法 ### 第一步：判断用户现在处在哪一步 优先识别用户属于哪一类： - 还没开始，只是在选花 - 已经买了花，想知道怎么养 - 已经养了一段时间，正在遇到问题 - 想系统学习，想要一份整理版知识框架 ### 第二步：只说最关键的事 默认先讲这四项： 1. 光照够不够 2. 水有没有浇错 3. 盆土是否透气排水 4. 环境是否稳定 很多花卉问题，先看这四项，比先谈施肥、修剪、药剂更有效。 ### 第三步：给短而准的答案 默认使用下面结构： - 一句话判断 - 养活它最重要的两个到三个条件 - 最容易踩的坑 - 现在就能做的动作 如果用户要详细版，再扩展成： - 花卉特点 - 环境要求 - 日常管理 - 常见异常 - 新手建议 ## 具体规则 ### 选花类问题 如果用户问“推荐几种适合新手的花”，优先按环境推荐： - 室内明亮散射光 - 阳台有直射光 - 院子或露台 每次给 3 到 5 种就够，不要一口气列很多。 每种花只需要说明： - 为什么适合新手 - 最大优点是什么 - 最容易翻车的点是什么 ### 单种花养护类问题 如果用户问具体花卉，先回答： - 适不适合新手 - 喜光还是怕晒 - 浇水要看什么信号 - 常见死法是什么 不要先写一大段背景知识。用户先要的是养活，不是植物百科。 ### 问题排查类问题 如果用户说花出问题了，优先按这个顺序查： - 光照过强或过弱 - 浇水过多或过少 - 盆土积水或板结 - 通风差 - 刚换盆、搬位置或季节切换造成应激 如果这些都不像，再考虑病虫害。 给排查建议时，要分成两部分： - 先停什么、改什么 - 接下来观察什么 ## 表达要求 - 说人话 - 少用空话 - 尽量把模糊建议改成可执行表达 - 不确定时直接说不确定，不强装专业 - 花卉差异明显时，提醒用户补充花名或环境 ## 示例 ### 示例一 用户问：哪些花适合新手？ 回答方向： - 先问是室内还是阳台 - 如果用户没说，就先给通用版 - 可以优先推荐太阳花、长寿花、矮牵牛、非洲堇这一类 - 每种只讲一个优点和一个注意点 ### 示例二 用户问：茉莉花怎么养？ 回答方向： - 先说茉莉花不算最难，但非常依赖光照 - 再说养不好通常不是因为肥不够，而是光照和通风不够 - 最后给一个简单动作顺序：先放对位置，再调整浇水，再看生长状态 ### 示例三 用户问：我的花黄叶了怎么办？ 回答方向： - 先不要急着下结论 - 先问花名、摆放位置、浇水频率、最近有没有换盆 - 如果用户不补信息，就给通用排查顺序 ## 不要这样做 避免下面这些问题： - 一上来做泛泛花卉科普 - 不分花种就给统一结论 - 用“适量浇水”“注意养护”这种空话敷衍 - 病虫害还没确认就直接说用药 - 明明信息不足，却给很确定的判断 ## 合格标准 这个技能给出的回答，至少要让新手做到下面一件事： - 选到更适合自己的花 - 知道当前这盆花最怕什么 - 明白下一步先改哪一个环节


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: ntriq-gh/ntriq-x402-image-upscale (version 1.0.0)

--- name: ntriq-x402-image-upscale description: "AI image upscaling using Real-ESRGAN. 2x/3x/4x super-resolution for photos and general images. $0.10 USDC via x402." version: 1.0.0 metadata: openclaw: primaryTag: data-intelligence tags: [image, upscale, esrgan, super-resolution, vision, x402] author: ntriq homepage: https://x402.ntriq.co.kr --- # Image Upscale (x402) AI-powered image super-resolution using Real-ESRGAN on Apple M4 GPU. Upscale images 2x, 3x, or 4x with dramatic quality improvement. Supports jpg, png, webp. $0.10 USDC per image. ## How to Call ```bash POST https://x402.ntriq.co.kr/image-upscale Content-Type: application/json X-PAYMENT: <x402-payment-header> { "image_url": "https://example.com/low-res.jpg", "scale": 4, "mode": "general" } ``` ## Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `image_url` | string | ✅ (or base64) | URL of image to upscale (jpg/png/webp) | | `image_base64` | string | ✅ (or url) | Base64-encoded image | | `scale` | integer | ❌ | Upscale factor: `2`, `3`, or `4` (default: `4`) | | `mode` | string | ❌ | `general` (default) or `photo` (optimized for real-world photos, always 4x) | ## Example Response ```json { "status": "ok", "scale": 4, "model": "realesr-animevideov3-x4", "image_base64": "<base64-encoded-png>", "format": "png" } ``` ## Payment - **Price**: $0.10 USDC per call - **Network**: Base mainnet (EIP-3009 gasless) - **Protocol**: [x402](https://x402.org) ```bash curl https://x402.ntriq.co.kr/services ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: houwei302-code/houwei-hello-world (version 1.0.0)

# houwei-hello-world 技能 ## 描述 个人专属测试技能，用于验证ClawHub跨设备同步功能是否正常工作，同时作为自定义技能开发的入门模板。 ## 作者 @houwei302-code ## 版本 1.0.0 ## 适用场景 1. 首次配置ClawHub同步后，验证技能上传/拉取流程是否正常 2. 多设备切换时，快速确认同步是否生效 3. 学习自定义Skill开发结构的参考模板 ## 触发关键词 - "测试同步" - "hello测试" - "我的技能" ## 功能实现 当用户触发关键词时，自动回复： > 🎉 恭喜！你的自定义技能已经同步成功啦！ > 当前运行设备：{{host.name}} > 技能版本：v1.0.0 ## 配置要求 无额外依赖，开箱即用，不需要配置API密钥或其他参数。 ## 后续扩展建议 可以在这个基础上添加更多功能： - 自定义问候语 - 查看当前设备状态 - 快速执行常用命令


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

--- name: tail-tool description: Display the last lines of files. Use for monitoring log files, checking recent entries, and following file growth in real-time. --- # File Tail Viewer Show the end of files, defaulting to the last 10 lines. Includes follow-mode for watching files that grow in real-time. ## Usage ```bash tail-tool [options] [file...] ``` ## Options - `-n N`: Show last N lines - `-f`: Follow file growth (watch mode) - `-c N`: Show last N bytes - `-q`: Suppress filename headers ## Examples ```bash # Show last 10 lines tail-tool log.txt # Show last 50 lines tail-tool -n 50 access.log # Follow log in real-time tail-tool -f /var/log/syslog ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: b-gutman/pipeworx-videogames (version 1.0.0)

# Video Games Browse and search free-to-play games across PC and browser platforms. Powered by the FreeToGame database. ## What can I do? **list_games** -- Browse the full catalog. Filter by platform (`pc`, `browser`), category (`mmorpg`, `shooter`, `strategy`, `moba`, `racing`, `sports`, `sandbox`, `open-world`, `survival`, `pvp`, `zombie`, `tower-defense`, `horror`, `mmofps`), and sort order (`release-date`, `popularity`, `alphabetical`, `relevance`). **get_game** -- Full details for a game by ID: description, genre, developer, publisher, release date, screenshots, system requirements, and game URL. **filter_games** -- Advanced filtering by dot-separated tags like `3d.mmorpg.fantasy` or `shooter.pvp` with optional platform filter. ## Example: popular PC shooters ```bash curl -X POST https://gateway.pipeworx.io/videogames/mcp \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_games","arguments":{"platform":"pc","category":"shooter","sort_by":"popularity"}}}' ``` ## Example: get Valorant details Valorant's FreeToGame ID is 452: ```bash curl -X POST https://gateway.pipeworx.io/videogames/mcp \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_game","arguments":{"id":452}}}' ``` ```json { "mcpServers": { "videogames": { "url": "https://gateway.pipeworx.io/videogames/mcp" } } } ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mrbeandev/workspace-explorer (version 1.1.5)

--- name: workspace-explorer description: Securely share your workspace with your owner via a remote VS Code environment. Use when (1) the owner requests to view or inspect your working files, (2) you need to give the owner live access to browse your codebase, (3) the owner wants to install extensions or use IDE features to explore files, or (4) you need a temporary secure tunnel for remote workspace inspection. homepage: https://github.com/mrbeandev/workspace-explorer user-invocable: true --- # Workspace Explorer Provide secure, temporary access to your workspace via code-server (VS Code in browser) tunneled through Cloudflare. **Repository:** https://github.com/mrbeandev/workspace-explorer ## Installation ```bash git clone https://github.com/mrbeandev/workspace-explorer.git ``` ## Usage Run the start script with the workspace path: ```bash python3 {baseDir}/scripts/start_workspace.py /path/to/workspace ``` The script will: 1. Download binaries on first run (code-server + cloudflared) 2. Start code-server on localhost 3. Create a Cloudflare tunnel 4. Print the **public URL** and **password** directly to terminal (Note: Wait 15-30s for the URL to become active) Example output: ``` ============================================================ ✅ WORKSPACE READY! ============================================================ 🌐 URL: https://random-words.trycloudflare.com 🔑 [REDACTED_SECRET] ============================================================ 💡 Share the URL and password with your owner. Press Ctrl+C to terminate the session. ``` ## Options ```bash python3 {baseDir}/scripts/start_workspace.py /path/to/workspace --port 9000 ``` | Option | Default | Description | |--------|---------|-------------| | `workspace` | (required) | Path to directory to serve | | `--port` | 8080 | Local port for code-server | | `--status` | (flag) | Check if workspace is running | ## Heartbeat Support This project includes a `HEARTBEAT.md` file. When installed as an OpenClaw skill, the agent will periodically check if the tunnel is active and remind you if it's left running for too long. ## Termination Press `Ctrl+C` to stop the session. Both code-server and the tunnel will be terminated. ## Security - Each session generates a unique cryptographically secure password - Tunnel URLs are temporary `.trycloudflare.com` domains - No ports need to be opened on firewall - Session ends when script is terminated


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