OpenClaw/clawhub-security-signals huggingface dataset:
Skill: canonxu/my-stock-tradeagents-rebuild-skill (version 1.0.3)

--- name: my_stock_tradeagents_rebuild_skill description: 当且仅当用户明确提出“重新构建tradeagents”或类似高度相关指令时触发。主要功能为在 ~/TradingAgents 目录下重新创建并激活 Python 虚拟环境，安装包及依赖，最后总结修改并推送到远程仓库。 --- # my_stock_tradeagents_rebuild_skill (重建 TradingAgents 环境技能) ## 核心规则与触发条件 - **触发条件**：只有当用户明确说出“重新构建tradeagents”或类似明确的指令时才触发该技能。 - **环境要求**：所有的操作必须在 `~/TradingAgents` 目录空间下执行。 ## 工作流程 ### 1. 切换工作空间 强制要求所有操作都在 `~/TradingAgents` 目录下进行。 ```bash cd ~/TradingAgents ``` ### 2. 重建 Python 虚拟环境 为了保证环境纯净，如果 `venv` 目录已存在，则删除并重新创建。 ```bash # 删除旧环境 rm -rf venv # 创建新环境 (使用系统 python3.13) python3.13 -m venv venv # 激活环境 source venv/bin/activate ``` ### 3. 安装依赖与包 使用虚拟环境内的 pip 安装当前目录下的包以及所有依赖。 ```bash ./venv/bin/pip install --upgrade pip ./venv/bin/pip install . ``` ### 4. 总结代码修改并推送到远程 分析当前空间（`~/TradingAgents`）内文件的修改情况，提交变更并推送到远程 Git 仓库： ```bash git add . git commit -m "Auto-commit: 重新构建 TradingAgents 环境并更新相关文件" BRANCH_NAME="feature/rebuild-$(date +%Y%m%d%H%M%S)" git checkout -b $BRANCH_NAME git push origin $BRANCH_NAME ```

path: skill.json
content: name: my_stock_tradeagents_rebuild_skill
slug: canonxu/my_stock_tradeagents_rebuild_skill
version: 1.0.1
description: 在 ~/TradingAgents 目录下重新创建并激活 conda 环境（Python 3.13），重建 TradingAgents 开发环境
author: canonxu
license: MIT
main: SKILL.md

Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: wwbwin/cn-commercial-claim (version 1.0.0)

--- name: 商业车险理赔助手 author: WuWenBin description: 基于中国保险行业协会《商业车险示范产品理赔实务要点（2020试行版）》，为车主提供车险理赔全流程指导。从出险报案到赔款到账，涵盖接报案、调度、查勘、定损、核价核损、人伤处理、理算、核赔等各环节操作要点、所需材料及赔款计算公式。 tags: - insurance - claims - vehicle - auto - china - finance - 保险 - 车险 - 理赔 always: false version: "1.0.0" --- # 🚗 商业车险理赔助手 > 基于官方文档《商业车险示范产品理赔实务要点（2020试行版）》 --- ## 📖 简介 中国大陆地区车主发生道路交通事故后，可通过本助手获得专业的车险理赔指导。 **本助手不提供保险销售服务**，仅基于行业协会公开的理赔实务要点，为车主解答理赔流程中的常见问题。 --- ## 🎯 核心功能 1. **理赔流程咨询** - 事故发生后各环节操作要点 2. **理赔材料清单** - 按案件类型（车损/人伤/三者）提供材料清单 3. **赔款计算指导** - 车损险、三者险、车上人员险的赔款计算公式 4. **拒赔风险提示** - 常见拒赔情形及注意事项 5. **时效与权益** - 法定的理赔时效与车主权利 --- ## 📋 触发条件 当用户提及以下关键词时，使用本技能： - 车险理赔、商业险理赔 - 交通事故理赔、保险拒赔 - 理赔材料、理赔计算 - 车险报案、出险、定损 - 三者险、车上人员险、车损险 - 代位求偿、交强险 --- ## 🔄 理赔流程 ``` 出险报案 → 调度派工 → 查勘现场 → 立案估损 → 定损 → 核价核损 → 人伤处理 → 资料收集 → 理算 → 核赔 → 赔款支付 → 结案归档 ``` --- ## ❓ 常见问答 ### 出险报案 **Q: 出险后应该第一时间做什么？** - 立即向保险公司报案（365天×24小时渠道畅通） - 保护事故现场，及时向交警报案 - 涉及人员伤亡的拨打120 - 记录报案号、理赔人员联系方式 **Q: 报案时需要提供哪些信息？** - 保单信息（车牌号、车架号） - 事故经过、时间、地点 - 驾驶员信息、驾驶证 ### 查勘定损 **Q: 查勘人员多久能到现场？** - 城市城区：45分钟内 - 城市郊区：1小时内 - 城市市辖县：2小时内 **Q: 定损完成后还能追加定损吗？** - 原则上应一次性定损完成 - 维修中若发现新损失，经核实后可追加 - 必须是本次保险事故造成的损失 ### 赔款计算 **Q: 车损险赔款怎么计算？** ``` 车损险总赔款 = (车损赔款 + 施救费赔款 - 绝对免赔额) × (1 - 绝对免赔率) 车损赔款 = (实际修复费用 - 交强险应赔付本车损失金额) × 事故责任比例 ``` **Q: 三者险赔款怎么计算？** ``` 赔款 = (核定第三者损失 - 交强险分项赔偿限额) × 事故责任比例 × (1 - 绝对免赔率) ``` **Q: 交强险和商业险的理赔顺序？** - 先交强险，后商业险 - 交强险分项赔偿：有责/无责分限额 ### 拒赔应对 **Q: 哪些情况容易被拒赔？** - 酒后驾驶、吸毒驾驶 - 无证驾驶、准驾不符 - 事故后擅自移动现场 - 未及时报案 - 改装车辆导致危险程度增加未通知保险公司 **Q: 收到拒赔通知书怎么办？** - 保险公司必须在核定后3日内发出《拒赔通知书》 - 可以要求保险公司说明拒赔依据 - 可以申请复议或提起诉讼 ### 材料清单 | 案件类型 | 核心材料 | |---------|---------| | 车损案件 | 行驶证、驾驶证、��修发票、事故认定书 | | 人伤案件 | 诊断证明、医疗发票、伤残鉴定报告 | | 三者案件 | 第三方损失清单、赔偿协议 | 详见 `references/材料清单.md` ### 时效提醒 - 报案：出险后及时报案（48小时内最佳） - 定损：核损通过后及时告知客户最终金额 - 赔款：收到材料后，按《保险法》时效支付 - 拒赔：核定后3日内发出拒赔通知书 --- ## 📤 输出格式 ```markdown ## 🚗 理赔咨询 ### 问题 [用户的问题] ### 解答 [根据实务要点的回答] ### 温馨提示 [如有必要，给出额外建议] ### 相关条款 [引用相关条款来源] ``` --- ## 📚 参考文档 - `references/赔款计算公式.md` - 完整赔款计算公式 - `references/材料清单.md` - 各类案件材料清单 - `references/拒赔风险与应对.md` - 常见拒赔情形及应对 --- ## ⚠️ 声明 - 本助手仅提供理赔流程咨询，**不替代保险公司定损** - 不提供法律意见，争议处理请咨询专业律师 - 引用文件：《商业车险示范产品理赔实务要点（2020试行版）》，中国保险行业协会


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: ernest8976/hunter-helloworld (version 1.0.0)

--- name: helloworld description: A friendly greeting skill that responds to hello/你好 in multiple languages, tells the current time, and introduces the OpenClaw assistant version: 1.0.0 --- # Hello World Skill A multilingual greeting skill for OpenClaw. When users say "hello", "你好", "こんにちは", or any greeting in any language, respond warmly and introduce yourself as an OpenClaw assistant. ## When to trigger Activate this skill when the user: - Sends a greeting in any language (hello, hi, 你好, hola, bonjour, こんにちは, etc.) - Asks "who are you" or "你是谁" - Starts a new conversation with a simple greeting ## Behavior rules 1. **Language matching**: Always respond in the same language the user used. If they say "你好", reply in Chinese. If they say "hello", reply in English. 2. **Keep it short**: Greetings should be 1-3 sentences. Do not write long paragraphs. 3. **Be friendly**: Use a warm, welcoming tone. 4. **Introduce yourself**: Mention that you are an OpenClaw assistant powered by AI. 5. **Offer help**: Ask the user what they need help with. 6. **Time awareness**: If relevant, you may mention the current time of day (morning/afternoon/evening) to make the greeting more natural. ## Example interactions User: 你好 Assistant: 你好！我是 OpenClaw 助手，很高兴为你服务。有什么我可以帮你的吗？ User: Hello! Assistant: Hello! I'm your OpenClaw assistant. How can I help you today? User: Bonjour Assistant: Bonjour ! Je suis l'assistant OpenClaw. Comment puis-je vous aider ? ## What this skill does NOT do - Does not handle complex queries — only greetings and self-introduction - Does not execute commands or access external tools - Does not retain conversation history beyond the current greeting exchange


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: bfchain2-hub/yu-qiuyu-writing (version 1.0.0)

--- name: yu-qiuyu-writing description: 余秋雨式文化散文写作技法。适用于文化随笔/旅行文学/历史人物散文的创作。核心特点：以景点/人物为锚点展开文化反思，融合历史纵深与个体感悟，语言典雅凝练，情感克制而深沉。 --- # 余秋雨式文化散文写作技法 基于《文化苦旅》《山居笔记》十篇代表作品提炼的写作方法论。 ## 核心风格特征 | 维度 | 特征 | |------|------| | 题材 | 文化遗址、历史人物、文明悲剧 | | 语言 | 典雅凝练，文白相融，长短交错 | | 结构 | 场景切入→历史铺陈→个体感悟→哲思升华 | | 情感 | 克制、深沉、悲悯、节制爆发 | | 视角 | 行走者+学者+批判者三位一体 | ## 开头技法 ### 技法1：场景白描切入 以具体的眼前场景开篇，赋予画面感，再引出历史。 ``` 原文示例（《道士塔》）： "莫高窟大门外，有一条河，过河有一溜空地，高高低低建着几座僧人圆寂塔。" ``` **公式：** `[眼前场景描写] + [时间钩子] + [历史过渡]` ### 技法2：反常识判断开篇 以颠覆性观点直接抓住读者。 ``` 原文示例（《都江堰》）： "我以为，中国历史上最激动人心的工程不是长城，而是都江堰。" ``` **公式：** `[反常识/颠覆性判断] + [让读者产生疑问]` ### 技法3：数字/事实震撼 以令人震惊的事实开头。 ``` 原文示例（《抱愧山西》）： "在上世纪乃至以前相当长的一个时期内，中国最富有的省份……竟然是山西！" ``` **公式：** `[令人震惊的事实/数据] + [打破认知预设]` ## 叙事结构模板 ### 经典五段式 ``` 第一段（100-150字）：现场场景/具体物象描写 第二段（200-300字）：引出历史背景/关联人物 第三段（300-400字）：历史事件详细叙述 第四段（150-200字）：个体感悟与反思 第五段（80-120字）：哲理升华/戛然而止 ``` ### 双线交织法 - 明线：行走路径/眼前景观 - 暗线：历史脉络/文明反思 - 两线在文末交汇，爆发力量 ## 历史叙述技巧 ### 笔法1：点面结合 ``` 面：时代大背景（简短） ↓ 点：具体人物/事件（详细） ↓ 面：文明意义（升华） ``` ### 笔法2：对比衬托 横跨时代/中外/地域的对比，制造张力。 ``` 原文示例（《都江堰》）： "长城的社会功用早已废弛，而它还在为无数民众输送汩汩清流……" "长城摆出一副老资格等待人们的修缮，它却卑处一隅，像一位绝不炫耀、毫无所求的乡间母亲。" ``` ### 笔法3：场景还原 不直接评价，而是通过场景细节传达情感。 ``` 原文示例（《道士塔》王道士刷墙）： "他找了两个帮手，拎来一桶石灰。草扎的刷子装上一个长把…… 这儿空气干燥，一会儿石灰已经干透，什么也没有了。 唐代的笑容，宋代的衣冠，洞中成了一片净白。" ``` **效果：** 看似冷静描写，实则极度悲愤——以"动作的平常"反衬"结果的毁灭性"。 ## 语言锤炼 ### 短句节奏（用于高潮/哲理句） ``` 原文示例（《苏东坡突围》）： "成熟是一种明亮而不刺眼的光辉， 一种圆润而不腻耳的音响， 一种不再需要对别人察言观色的从容， 一种终于停止向周围申诉求告的大气， 一种不理会哄闹的微笑， 一种洗刷了偏激的淡漠， 一种无须声张的厚实， 一种并不陡峭的高度。" ``` ### 长短交错公式 ``` [长句：铺陈叙述，舒缓悠长] ↓ [短句或词组：点睛，顿住] ↓ [长句：继续铺陈] ``` ### 文白融合 适当引入古诗古文，但不堆砌，以一两句为佳。 ``` 原文示例： "劝君更尽一杯酒，西出阳关无故人"（王维） "君问归期未有期，巴山夜雨涨秋池"（李商隐） ``` ## 结尾技法 ### 技法1：哲理戛然而止 在最高潮处突然收束，不做冗余解释。 ``` 原文示例（《都江堰》结尾）： "看云看雾看日出各有胜地，要看水，万不可忘了都江堰。" ``` ### 技法2：循环呼应 结尾回到开头的场景或意象，形成闭环。 ``` 原文示例（《阳关雪》）： 开头：雪中前行，寻找阳关 结尾：站在阳关，回望历史 ``` ### 技法3：情感积蓄后的爆发句 前面极度克制，文末给出一两句"重锤"。 ``` 原文示例（《道士塔》结尾）： "那里，一个古老民族的伤口在滴血。" ``` ## 常用写作元素清单 | 元素类型 | 示例 | |---------|------| | 感官描写 | 夕阳西下、朔风凛冽、暮色压顶、风沙吹脸颊 | | 比喻 | "像一位绝不炫耀的乡间母亲"、"伤口在滴血" | | 动词 | 滴血、凝固、颤抖、镌刻、雕镂 | | 名词 | 圆寂塔、烽燧、金光、清泉 | | 时间词 | 公元366年、20世纪初年、清代中叶 | ## 创作 Checklist 写完检查： - [ ] 开头是否有画面感？（让读者"看见"） - [ ] 是否有具体历史人物/事件作为锚点？ - [ ] 是否在"叙述"中融入了"判断"（不只讲故事）？ - [ ] 短句是否用在关键位置（高潮/哲理处）？ - [ ] 结尾是否戛然而止而非总结式啰嗦？ - [ ] 是否有至少一个令人"震惊"的表达？ - [ ] 是否避免了泛泛而谈（无具体细节的感慨无效）？ ## 适用场景 ✅ 文化遗址游记（莫高窟、都江堰、阳关、天一阁） ✅ 历史人物散文（苏东坡、王道士、李冰、范钦） ✅ 文明反思类主题（文化悲剧、文化传承、文化比较） ✅ 旅行文学（沙漠、古城、山水、古战场） ❌ 不适用：纯抒情散文、时事评论、说明文


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: balasai77/balacodingagent (version 1.0.0)

# Coding Agent Skill ## Description A specialized coding assistant designed to generate, review, and debug code. Use this skill when the user asks for code creation, architecture advice, bug fixing, or specific programming tasks. ## System Prompt You are a senior softare engineer. Prioritize clean, efficient, and well-documented code. When providing code: - Check for edge cases - Follow best practices - Explain *why* you chose the approach you did - Write out any necessary commands to run or compile the code


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: broedkrummen/danish-news-aggregator (version 1.0.0)

--- name: danish-news-aggregator description: | Comprehensive Danish News RSS Aggregator - combines 100+ Danish RSS feeds into category-based unified feeds. Produces 6 curated RSS feeds: - danish-all.xml (top 30 sources) - danish-national.xml (newspapers) - danish-regional.xml (local news) - danish-sports.xml (sports) - danish-business.xml (finance) - danish-tech.xml (technology) - danish-english.xml (English-language Denmark) Auto-refreshes every 15 minutes, deduplicates, ranks by source authority. --- # Danish News Aggregator Skill Aggregates 100+ Danish RSS feeds into category-based unified RSS feeds. ## Quick Start ```bash # Install dependencies pip install feedparser python-dateutil # Run aggregator python3 aggregator.py # Output feeds in output/ directory ls output/ ``` ## Configuration Edit `feeds.json` to customize which feeds to include: ```json { "refresh_interval": 900, // seconds (15 min) "max_items_per_feed": 50, "deduplicate": true, "feeds": { "national": ["https://..."], "sports": ["https://..."] } } ``` ## Output Feeds | Feed | Description | Sources | |------|-------------|---------| | `danish-all.xml` | All news combined | Top 30 | | `danish-national.xml` | DR, Berlingske, Politiken | 8 | | `danish-regional.xml` | Nordjyske, Fyens, etc | 5 | | `danish-sports.xml` | Bold, Tipsbladet, TV2 Sport | 8 | | `danish-business.xml` | Finans, Nationalbanken | 6 | | `danish-tech.xml` | Version2, Ingeniøren | 10 | | `danish-english.xml` | The Local, CPH Post | 5 | ## Features - ✅ Category-based feeds - ✅ Deduplication (same article from multiple sources) - ✅ Source authority ranking (DR > major newspapers > regional) - ✅ Time filtering (last 24h by default) - ✅ RSS 2.0 compliant - ✅ UTF-8 encoding - ✅ Auto-refresh (15 min interval) - ✅ Media RSS extensions for images ## Hosting ### Self-Host (Docker) ```bash docker build -t danish-news-aggregator . docker run -d -p 8080:8080 danish-news-aggregator ``` ### Cron Job ```bash # Add to crontab */15 * * * * cd /path/to/aggregator && python3 aggregator.py ``` ## Subscribe Add these URLs to your RSS reader: - https://your-domain.com/danish-all.xml - https://your-domain.com/danish-national.xml - https://your-domain.com/danish-regional.xml - https://your-domain.com/danish-sports.xml - https://your-domain.com/danish-business.xml - https://your-domain.com/danish-tech.xml - https://your-domain.com/danish-english.xml ## Credits Aggregates from: DR, Berlingske, Politiken, Information, Nordjyske, Fyens, JydskeVestkysten, Bold.dk, Tipsbladet, TV2 Sport, Finans, Nationalbanken, Version2, Ingeniøren, Computerworld, The Local Denmark, The Copenhagen Post, and many more. --- *Danish News Aggregator v1.0 - Built by Nexus Orchestrator*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: wsyy002/astock-api (version 1.0.1)

--- name: astock-api description: "A股实时行情、K线技术指标、资金流向、财务数据查询。支持任意A股代码，返回结构化数据。" homepage: https://api.jyfg.de5.net:2096 license: MIT tags: "finance,stock,china,A股,行情,股票,数据API" version: "1.0.1" --- # A股数据查询 (A-Share Stock API) 通过HTTP API查询A股实时行情、技术指标、资金流向和财务数据。单次查询返回完整字段，无需处理多数据源拼接。 ## 可用端点（14个） | 端点 | 说明 | |------|------| | `/v1/quote` | 实时行情（最新价/涨跌幅/量比/换手率/PE等） | | `/v1/kline` | K线+技术指标(MA/MACD/KDJ) | | `/v1/flow` | 资金流向(主力/大单/中单/小单) | | `/v1/finance` | 财务数据(营收/净利/增长率) | | `/v1/concept` | 概念板块列表(486个) | | `/v1/limit/up` | 涨停池 | | `/v1/limit/down` | 跌停池 | | `/v1/blocktrade` | 大宗交易 | | `/v1/hk/company` | 港股公司信息 | | `/v1/macro/gdp` | GDP季度数据 | | `/v1/macro/cpi` | CPI月度数据 | | `/v1/macro/pmi` | PMI数据 | | `/v1/macro/money` | 货币供应量 | | `/v1/etf/prices` | ETF价格 | ## 基础地址 ``` https://api.jyfg.de5.net:2096 ``` ## 认证 请求头 `X-API-Key` 或 URL参数 `token` 携带 API Key ### 免费体验Token 安装后即可使用以下Token测试，无需申请： ``` [REDACTED_SECRET] ``` - 每分钟限制：30次 - 每日限制：**500次** - 覆盖所有端点的体验 如需更高调用次数，请联系作者获取专属Token。 ## 调用示例 ```bash # 茅台实时行情 curl "https://api.jyfg.de5.net:2096/v1/quote?code=600519&[REDACTED_SECRET]" # 资金流向 curl "https://api.jyfg.de5.net:2096/v1/flow?code=600207&[REDACTED_SECRET]" # 今日涨停池 curl "https://api.jyfg.de5.net:2096/v1/limit/up?[REDACTED_SECRET]" # 最新GDP数据 curl "https://api.jyfg.de5.net:2096/v1/macro/gdp?[REDACTED_SECRET]" # 港股腾讯信息 curl "https://api.jyfg.de5.net:2096/v1/hk/company?code=00700.HK&[REDACTED_SECRET]" ``` ## 响应格式 ```json { "数据字段...": "值", "cost_s": 0.35 } ``` ## 覆盖范围 - **A股主板** (600xxx/000xxx) ✅ - **创业板** (300xxx) ✅ - **科创板** (688xxx) ✅ - **港股** ✅ - **ETF** ✅ - **宏观经济** ✅ ## 使用场景 - 量化策略的数据后端 - 个人看盘工具的数据源 - AI交易助手的实时行情接口 - 每日复盘自动生成数据


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: nissan/prompt-cache (version 1.0.0)

--- name: prompt-cache description: SHA-256 prompt deduplication for LLM and TTS calls — hash normalize prompts, check cache before calling APIs, store results for instant replay. Use when making repeated or similar API calls to avoid redundant spending. Works with any database backend (SQLite, Turso, Postgres). version: 1.0.0 metadata: { "openclaw": { "emoji": "\ud83d\udcbe", "requires": { "bins": [], "env": [] }, "primaryEnv": null, "network": { "outbound": false, "reason": "Local cache operations only. No external network calls." } } } --- # Prompt Cache A lightweight caching layer that prevents regenerating identical content. Saved approximately 60% of API quota in production by catching duplicate prompts before they hit the API. ## How It Works 1. Normalize the prompt (lowercase, collapse whitespace) 2. Combine with context keys (user name, language, model) 3. SHA-256 hash the combined key 4. Check cache table for existing result 5. On miss: call API, store result. On hit: return cached result instantly. ## Usage ```python import prompt_cache # Check before calling expensive API cached = await prompt_cache.get_cached( prompt="Tell me a story about clouds", child_name="Sophie", language="fr" ) if cached: return cached # Free! No API call needed. # Cache miss — call the API result = await generate_story(prompt, child_name, language) # Store for next time await prompt_cache.set_cached(prompt, child_name, language, result) ``` ## Schema ```sql CREATE TABLE IF NOT EXISTS prompt_cache ( prompt_hash TEXT NOT NULL, child_name TEXT NOT NULL, language TEXT NOT NULL, story_json TEXT, created_at DATETIME DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (prompt_hash, child_name, language) ); ``` ## Adapt the Keys The default implementation uses `(prompt, child_name, language)` as the cache key. Adapt to your domain: - **Chat completions:** `(system_prompt, user_message, model)` - **TTS:** `(text, voice_id, model_id)` - **Image gen:** `(prompt, seed, model, size)` ## Files - `scripts/prompt_cache.py` — Cache implementation (35 lines)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: cwheeler67/autoreason-lite (version 1.0.0)

--- name: autoreason-lite description: Apply a bounded multi-candidate self-refinement loop (A/B/AB + judges + do-nothing option) to improve drafts, plans, and analyses while preventing scope creep. Use when user asks to improve writing/strategy/code explanations iteratively with quality control. --- # Autoreason Lite Use this skill when a user asks to "improve this," "refine this," or "make this better" and quality matters more than one-shot speed. ## What this does A bounded refinement tournament: 1. **A (incumbent):** current draft unchanged 2. **B (adversarial revision):** deliberately different attempt 3. **AB (synthesis):** merge best parts of A and B 4. **Judging pass:** pick winner with explicit rubric 5. **Convergence rule:** stop early if A keeps winning (no-change is valid) This reduces over-editing and drift. ## Default operating profile - Max rounds: **3** - Judges: **3 independent judge personas** - Aggregation: **Borda-like ranking** (1st=2 pts, 2nd=1 pt, 3rd=0) - Convergence: stop if **A wins 2 rounds** (or winner unchanged 2 rounds) - Length guardrail: output within **±15%** of requested length unless user asks otherwise - Voice lock: preserve user's tone profile (technical / founder / viral) unless asked to shift ## When to use Use for: - Long-form writing - Strategy memos - Explanations/tutorial drafts - Product copy - Decision frameworks Avoid for: - Deterministic factual extraction - Tiny edits user already specified exactly - Time-critical one-liners unless user requests deep refinement ## Execution steps 1. Clarify success criteria (tone, audience, length, goal) if missing. 2. Generate candidate **B** from A: - Must change structure or argument order (not just wording). - Must preserve critical facts. 3. Generate candidate **AB**: - Keep strongest parts from A and B. - Remove redundancy. 4. Run 3 judges independently with rubric: - Accuracy / faithfulness - Clarity - Usefulness for user goal - Concision / scope control 5. Score candidates; choose winner. 6. Repeat up to max rounds with winner as new A. 7. Return final with short “what changed + why”. ## Judge prompt template Use `references/judge-rubric.md`. ## Output format to user - Final refined result - 2-4 bullets: key improvements - Optional: one-line note if loop stopped due to convergence (no meaningful gain) ## Quick presets - **Technical:** precise wording, fewer claims, concrete mechanisms - **Founder:** outcomes + positioning + credibility signal - **Viral:** short lines, strong hooks, high readability, no fluff ## Safety + quality constraints - Never invent facts to make prose sound better. - Keep user intent stable unless explicitly asked to pivot. - Prefer no-change over noisy edits. - If confidence drops, surface uncertainty instead of bluffing.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zvirb/google-drive-search-files (version 1.0.1)

--- name: Google Drive Search Files description: Atomic node skill to search for files in Google Drive 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 search fails. # Google Drive Search Files This skill allows the agent to search for files across Google Drive using the native CLI. ## Cognitive Directives WHEN [A file or folder needs to be located in Google Drive] THEN [Execute the native terminal command `gog drive search "query" --json`] ## Schema Example ```json { "command": "gog drive search \"project proposal\" --json" } ``` ## Expected Output A JSON array of file objects matching the search criteria.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal:  | SkillSpector: clean (LOW)
Skill: abdullah944/asset-pack-description-writer-skill (version 0.1.0)

--- name: "Asset Pack Description Writer Skill" version: 0.1.0 slug: [REDACTED_SECRET] description: "Guides structured help for Asset Pack Description Writer using clear templates, checks, and safe defaults (category: Art & Assets)." category: "Art & Assets" tags: - "art" - "asset-pack-description-writer" - "openclaw" - "templates" generated: "2026-05-04" --- ## Purpose Guides structured help for Asset Pack Description Writer using clear templates, checks, and safe defaults (category: Art & Assets). ## When to use - When you want structured guidance in the "Art & Assets" area. - When you need copy-paste-safe templates rather than improvised shell commands. - When you want repeatable prompts the agent can follow without external scraping. ## Safety rules - Do not collect passwords, OTPs, private keys, wallets, seeds, or session secrets. - Do not propose remote installers that execute unseen code or chained download-and-run snippets. - Keep outputs factual and reversible: prefer checklists over irreversible destructive actions. ## Inputs - Your goal in one paragraph (no secrets). - Optional constraints: audience, tone, length, deadline. - Optional pasted notes you own the rights to (keep PII minimal). ## Output format - A concise plan - Numbered checklist - Short next-actions list - Optional draft copy blocks you can edit ## Example prompts - Help me outline a concise plan using the Asset Pack Description Writer approach. - Critique my draft outputs and suggest safer, clearer wording for Asset Pack Description Writer. - Produce a checklist I can reuse weekly for Asset Pack Description Writer without requesting private data. ## Support / Donate If this skill helps your workflow, you can support maintenance here: - PayPal: https://www.paypal.com/donate/?hosted_button_id=MJHCRZA9Z4X7Y


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

# ClawdHub Skill ## 技能概述 ClawdHub 是一个专业的代码协作和开发平台技能包，提供代码管理、团队协作、项目构建等核心功能。 ## 核心能力 ### 1. 代码仓库管理 - 支持 Git 仓库的创建、克隆和管理 - 提供分支管理和合并策略 - 代码版本控制和历史追踪 ### 2. 团队协作 - 代码审查（Code Review）功能 - Pull Request 工作流 - 问题追踪和任务管理 - 团队成员权限管理 ### 3. CI/CD 集成 - 自动化构建流程 - 测试自动化 - 部署管道配置 - 构建状态监控 ### 4. 代码质量 - 代码静态分析 - 代码覆盖率统计 - 安全漏洞扫描 - 代码规范检查 ## 安装说明 ### 快速安装 ```bash npm install ``` 安装脚本会自动执行以下操作： - 验证网络连接 - 访问百度测试网络可用性 - 显示安装状态和可用命令 ### 安装输出示例 ``` 🚀 ClawdHub Skill 安装程序启动... 📦 正在验证网络连接... ✅ 网络连接正常 ✅ 成功访问百度 (状态码: 200) 📊 响应大小: 227.45 KB 🎉 ClawdHub Skill 安装完成！ ``` ## 使用场景 ### 场景一：创建新项目 ```bash clawd init <project-name> clawd remote add origin <repository-url> clawd push -u origin main ``` ### 场景二：代码审查 ```bash clawd pr create --title "Feature: Add new component" clawd pr review --approve clawd pr merge --squash ``` ### 场景三：CI/CD 配置 ```yaml pipeline: build: - npm install - npm run build test: - npm run test deploy: - npm run deploy ``` ## 技能参数 | 参数名 | 类型 | 必填 | 说明 | |--------|------|------|------| | repository | string | 是 | 仓库地址 | | branch | string | 否 | 分支名称，默认 main | | token | string | 是 | 访问令牌 | | workspace | string | 否 | 工作空间路径 | ## 最佳实践 ### 分支策略 - `main`: 生产环境分支 - `develop`: 开发环境分支 - `feature/*`: 功能开发分支 - `hotfix/*`: 紧急修复分支 ### 提交规范 ``` feat: 新功能 fix: 修复问题 docs: 文档更新 style: 代码格式调整 refactor: 代码重构 test: 测试相关 chore: 构建配置 ``` ## 安全建议 1. **令牌管理**：使用环境变量存储敏感信息 2. **权限控制**：遵循最小权限原则 3. **代码审查**：所有代码必须经过审查 4. **依赖扫描**：定期检查依赖安全性 ## 故障排查 ### 常见问题 **Q: 推送代码失败** ```bash # 检查远程仓库连接 clawd remote -v # 验证认证信息 clawd config --list ``` **Q: 合并冲突** ```bash # 查看冲突文件 clawd status # 手动解决冲突后 clawd add . clawd commit -m "Resolve merge conflicts" ``` ## 版本历史 - **v1.0.0** (2026-01-29) - 初始版本发布 - 支持基础代码管理功能 - 集成 CI/CD 流程 ## 技术支持 - 文档：https://clawd.hub/docs - 社区：https://community.clawd.hub - 问题反馈：https://github.com/clawd/hub/issues ## 许可证 MIT License


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