OpenClaw/clawhub-security-signals huggingface dataset:
Skill: germey/acedatacloud-hailuo-video (version 1.0.0)

--- name: hailuo-video description: Generate AI videos with Hailuo (MiniMax) via AceDataCloud API. Use when creating videos from text descriptions or animating images into video. Supports text-to-video and image-to-video with director mode for precise control. license: Apache-2.0 metadata: author: acedatacloud version: "1.0" compatibility: Requires ACEDATACLOUD_API_TOKEN environment variable. --- # Hailuo Video Generation Generate AI videos through AceDataCloud's Hailuo (MiniMax) API. ## Authentication ```bash export ACEDATACLOUD_API_TOKEN="your-token-here" ``` ## Quick Start ```bash curl -X POST https://api.acedata.cloud/hailuo/videos \ -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"action": "generate", "prompt": "a dolphin jumping through ocean waves at golden hour", "model": "minimax-t2v"}' ``` ## Models | Model | Type | Best For | |-------|------|----------| | `minimax-t2v` | Text-to-Video | Creating video from text description | | `minimax-i2v` | Image-to-Video | Animating a still image | | `minimax-i2v-director` | Image-to-Video (Director) | Precise control over animation from image | ## Workflows ### 1. Text-to-Video ```json POST /hailuo/videos { "action": "generate", "prompt": "a time-lapse of flowers blooming in a meadow", "model": "minimax-t2v" } ``` ### 2. Image-to-Video Animate a still image into a video clip. ```json POST /hailuo/videos { "action": "generate", "prompt": "gentle wind blows through the scene", "model": "minimax-i2v", "first_image_url": "https://example.com/landscape.jpg" } ``` ### 3. Image-to-Video (Director Mode) More precise control over the animation. ```json POST /hailuo/videos { "action": "generate", "prompt": "camera slowly zooms in while leaves fall gently", "model": "minimax-i2v-director", "first_image_url": "https://example.com/scene.jpg" } ``` ## Parameters | Parameter | Required | Values | Description | |-----------|----------|--------|-------------| | `action` | Yes | `"generate"` | Action type | | `prompt` | Yes | string | Video description | | `model` | Yes | `"minimax-t2v"`, `"minimax-i2v"`, `"minimax-i2v-director"` | Model | | `first_image_url` | For i2v | string | Source image URL (required for image-to-video) | | `mirror` | No | boolean | Mirror the output | | `callback_url` | No | string | Async callback URL | ## Task Polling ```json POST /hailuo/tasks {"task_id": "your-task-id"} ``` States: `processing` → `succeed` or `failed`. ## Gotchas - `first_image_url` is **required** for `minimax-i2v` and `minimax-i2v-director` models - Director mode (`minimax-i2v-director`) provides finer camera/motion control than standard i2v - The `action` field currently only supports `"generate"` — no extend or edit - Flat pricing per generation regardless of model - Use `mirror: true` to horizontally flip the output if needed


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: shizhuo-ai/hunzi-ge-script-generator (version 1.0.0)

--- name: hunzi-knowledge-script description: 混子哥风格知识脚本生成器。把枯燥、复杂的知识转化为生动、有趣、视觉化的知识脱口秀脚本，让观众在哈哈大笑中搞懂硬核知识。适合用于历史事件、典故、制度等有信息差可挖、有因果链可串联的主题。 --- # 混子哥风格知识脚本生成器 ## 角色定义 你是一位兼具"混子哥"幽默基因和历史学深度的知识脱口秀编剧。你的核心能力是把枯燥、复杂的知识，转化为生动、有趣、视觉化的脚本，让观众在哈哈大笑中搞懂一个又一个硬核知识。 **核心理念**：不讲正确的废话，只讲颠覆认知的真话。用已知解释未知，用生活解释抽象。 --- ## 选题筛选标准 收到用户主题后，先判断是否适合此风格。必须同时满足： ### ✅ 适合的标志 - **有信息差可挖**：大众以为的和真相有明显差距 - **有因果链可串联**：能用"因为→所以→导致"串成事件链 - **能类比到现代事物**：能找到生活化类比，让人3秒听懂 ### ❌ 不适合的标志 - 纯罗列型：四大发明有哪些、唐朝诗人排名 - 纯观点输出：我认为内卷是伪命题 - 太抽象且无法类比：海德格尔存在主义 - 太冷门无基础认知：某小众部落婚俗 --- ## 核心工作流 ### 第一步：反常识挖掘 搜索该主题下，大众认知与真实情况差距最大的 **3个点**，选最颠覆的一个作为开篇钩子。 ### 第二步：底层逻辑类比 从类比库中找一个 **现代人3秒能懂的日常场景** 进行类比，这个类比将贯穿全篇。 ### 第三步：构建七段式叙事框架 1. **钩子问题**（0-3秒）：抛最反常识的问题 2. **铺垫背景**（3-15秒）：1-2句话给必要前提 3. **核心类比建立**（15-30秒）：展开生活化类比 4. **过程推演**（30-90秒）：在类比场景下推演事件发展 5. **冲突/转折**（90-110秒）：幽默揭示矛盾和意外 6. **结论揭示**（110-130秒）：回归原问题，给清晰答案 7. **下期钩子**（最后5秒）：抛一个相关的新悬念 ### 第四步：文案口语化改写 - 全程口语化，用"这哥们儿"、"但坑爹的是"、"你猜怎么着" - 少用长句，多用短句 - 每30-40秒至少一个笑点或"原来如此"的爽点 ### 第五步：匹配图类型 根据每段内容功能，从图类型库中强制选配一种。 --- ## 强制输出格式（三件套） ### 第一部分：分镜脚本表 | 段落 | 口播文案 | 画面与图类型 | 情绪/笑点 | |:---|:---|:---|:---| | 1.钩子 | ... | ... | ... | | 2.铺垫 | ... | ... | ... | | 3.类比建立 | ... | ... | ... | | 4.过程推演 | ... | ... | ... | | 5.冲突转折 | ... | ... | ... | | 6.结论揭示 | ... | ... | ... | | 7.下期钩子 | ... | ... | ... | ### 第二部分：制作指导总结 - 【核心类比】：一句话总结全篇类比 - 【关键图建议】：本期最重要的3张图 - 【节奏检查】：总字数、总时长、笑点分布密度 ### 第三部分：封面与标题建议 - 【推荐标题】：必须包含反常识或数字 - 【标题备选】：... - 【封面图建议】：描述封面应该画什么 --- ## 语言风格指南 ### 用词原则 - 口语化第一：能用"这人"不说"此人"，能用"完蛋"不说"覆灭" - 现代词解释古代事："CEO"、"KPI"、"融资"、"破产" - 自带吐槽："这不是作死吗" - 多用设问："你以为这就完了？" ### 节奏原则 - 开头3秒必须钩住 - 每30-40秒一个��点 - 结尾必须留钩子 --- ## 质量自检清单 输出前必须自检： - [ ] 标题是否有反常识或数字？ - [ ] 开篇3秒内是否抛出钩子？ - [ ] 核心类比是否贯穿全篇？ - [ ] 每30-40秒是否有笑点或爽点？ - [ ] 七段式结构是否完整？ - [ ] 每段是否都标注了图类型？ - [ ] 文案是否全程口语化？ - [ ] 结尾是否留了下期钩子？ - [ ] 是否输出了三件套？ --- ## 参考资源 - 内置类比库：见 [analogies.md](references/analogies.md) - 图类型库：见 [figure-types.md](references/figure-types.md) - 示例参考：见 [examples.md](references/examples.md)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mikeclaw007/points-program (version 0.1.0)

--- name: "积分运营" description: "提供积分运营的可落地指南与SOP。在开展积分运营相关工作时调用。" --- # 积分运营 (points-program) ## 目标与场景 - 明确业务目标、核心指标与应用场景；设定落地时限与负责人。 ## 操作步骤 1. 明确范围与资源；2. 制定SOP；3. 数据接入与看板搭建； 4. 小流量试点；5. 复盘优化；6. 标准化沉淀与知识库更新。 ## 指标 - 主指标与守护指标成体系；定义口径并固定报表节奏。 ## 风险与合规 - 遵守中国本地法规与平台规则；个人信息保护与数据最小化。 ## 可复用清单 - 模板、脚本、Checklist、报表与会议纪要结构。 生成日期：2026-03-17


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: lethehades/wps-macos-helper (version 0.1.0)

--- name: wps-macos-helper description: Help macOS users work with WPS Office more reliably when WPS is explicitly part of the document workflow. Use for preparing, converting, reviewing, exporting, or troubleshooting files that will be opened or checked in WPS on macOS, especially for Word/docx, PDF, Markdown, PowerPoint, and Excel workflows. Useful for: (1) preparing content before opening in WPS, (2) reducing WPS/Word compatibility issues, (3) choosing safe conversion workflows, (4) export and formatting guidance on macOS, and (5) troubleshooting layout, fonts, tables, page breaks, headers/footers, and PDF output. --- # WPS macOS Helper Default goal: improve document workflow quality on macOS when WPS is part of the path. ## Core workflow 1. Identify the source format and final goal. 2. Prefer content pre-processing before opening in WPS. 3. Reduce compatibility risk before export or layout polishing. 4. Keep original files untouched unless the user explicitly wants in-place edits. ## Read references as needed - Read `references/workflow.md` for standard document workflows. - Read `references/case-studies.md` for real task patterns and recommended routes. - Read `references/compatibility.md` for WPS/Word compatibility issues. - Read `references/export-and-format.md` for export, PDF, and formatting guidance. - Read `references/troubleshooting.md` when a document opens incorrectly or exports badly. - Read `references/release-checklist.md` before packaging or publishing the skill. ## Use scripts as needed - Use `scripts/prepare_doc_workflow.sh` for low-risk preprocessing suggestions and Markdown conversion entry points. ## Operating rules - Prefer producing new output files over overwriting originals. - Prefer Markdown/docx/PDF workflows over GUI automation. - Treat GUI automation as a later-stage option, not the default path. - When exact WPS behavior is uncertain, give the user the safest compatible route first.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: igorganapolsky/grok-x-growth-agent (version 1.0.0)

--- name: grok-x-growth-agent version: 1.0.0 description: "Ultra-high-ticket X (Twitter) Growth & Monetization Agent. Uses the official xAI (Grok) API and X OAuth 2.0 to autonomously identify trending niche discussions and reply with hyper-relevant affiliate links. Hardened with ThumbGate to prevent spam flags and account bans." author: "Igor Ganapolsky" tags: ["twitter", "x", "grok", "xai", "affiliate", "growth", "thumbgate", "high-ticket"] price: 397 --- # Grok-Powered X Growth & Monetization Agent + ThumbGate Safety ## What This Agent Does - Monitors X.com for trending keywords in your specific B2B or SaaS niche 24/7. - Uses the incredibly smart **xAI (Grok) API** to craft highly contextual, non-spammy replies. - Injects your affiliate links (e.g., Make.com, ElevenLabs, Amazon Associates) naturally into the conversation. - Uses **ThumbGate** safety to strictly limit posting frequency and ensure brand-safe language. ## Critical ThumbGate Rules - **Rate Limit Guard:** Physically block the agent from posting more than 2 replies per hour to avoid X algorithm penalties. - **Spam Prevention:** Block replies to the same user more than once in a 48-hour window. - **Sentiment Check:** Block replies to any post that Grok detects as highly negative, tragic, or controversial to protect your brand reputation. - **Relevance Threshold:** Block posting if the generated Grok response has less than an 85% contextual match with the original tweet. ## Setup Requirements - X.com Developer Account (Client ID / Secret). - xAI API Key. - Affiliate links configured in your OpenClaw memory. - ThumbGate active. ## Success Metrics - Generate passive affiliate clicks on autopilot. - Build a massive X audience using Grok's witty and engaging tone. - Zero banned accounts thanks to ThumbGate safety constraints.

path: clawhub-sales-copy.txt
content: **Stop paying for X Ads and Shadowbanned Bot Networks.**

If you want to monetize X in 2026, you need two things: High-IQ replies and Iron-clad Safety.

I built the **Grok-Powered X Growth Agent** to do exactly that. It uses the official xAI (Grok) API to read your niche's timeline 24/7, find high-intent conversations, and drop your affiliate links naturally—in a witty, human-like tone that algorithm actually rewards.

But the real magic is the **ThumbGate** integration.
Most growth bots get banned in 48 hours because they spam. My agent is physically BLOCKED by ThumbGate from:
- Posting more than 2x an hour.
- Replying to negative/tragic tweets.
- Over-linking (enforces a strict value-to-ask ratio).

**What you get:**
- Complete OpenClaw skill
- Native xAI (Grok) and X.com OAuth 2.0 integration instructions
- 5+ ThumbGate safety and anti-ban rules
- Instant download

**Price: $397** - Generate one high-ticket affiliate sale and it pays for itself.

Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: alvinecarn/it-searching (version 0.1.0)

--- name: it-searching description: Current Date: $DATE$. You are a Tech Search Agent with access to url_scraping and arxiv_search tools. Known tech company blog URLs:- OpenAI: https://openai.com/blog/- Google AI: https://ai.googleblog.com/- DeepMind: https://deepmind.com/blog/- Meta AI: https://ai.facebook.com/blog/- Microsoft Research: https://www.microsoft.com/en-us/research/blog/- Anthropic: https://www.anthropic.com/news- Hu... --- # It Searching ## Overview This skill provides specialized capabilities for it searching. ## Instructions Current Date: $DATE$. You are a Tech Search Agent with access to url_scraping and arxiv_search tools. Known tech company blog URLs:- OpenAI: https://openai.com/blog/- Google AI: https://ai.googleblog.com/- DeepMind: https://deepmind.com/blog/- Meta AI: https://ai.facebook.com/blog/- Microsoft Research: https://www.microsoft.com/en-us/research/blog/- Anthropic: https://www.anthropic.com/news- Hugging Face: https://huggingface.co/blog- NVIDIA: https://blogs.nvidia.com/- ArXiv: https://arxiv.org/Tool Usage Rules:1. For queries like "today’s AI papers" or "recent papers", use url_scraping to read ArXiv pages (start with https://arxiv.org/list/cs.AI/recent or category pages), NOT arxiv_search2. Use arxiv_search only for specific paper titles, authors, or technical concepts3. For company news, directly use url_scraping on their known blog URLsAlways provide accurate, up-to-date information by reading the actual web content. ## Usage Notes - This skill is based on the IT_Searching agent configuration - Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution - Follow the instructions and guidelines provided in the content above


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: rickkbarbosa/zabbix-connector (version 1.0.4)

--- name: zabbix description: Skill for Zabbix API monitoring and interaction. Use it to check active alerts, list problems, manage hosts, and query monitoring data. metadata: { "openclaw": { "os": ["linux", "darwin"], "requires": { "bins": ["python3"] } } } --- # Zabbix Skill Use this skill to monitor systems, query alerts, and access historical metrics through the Zabbix API. ## Scope This skill is meant for: - Querying active alerts and problems from hosts. - Listing hosts, items, and groups. - Accessing historical metrics and graphs. - Acknowledging events and problems. Do not use this skill for: - Modifying critical Zabbix server settings without authorization. - Exposing credentials or authentication tokens. ## Recommended Flow 1. Identify the target (host or item) of the request. 2. Use the bundled scripts to query the API. 3. Format the problem report as requested. 4. Provide reference links for events. ## Security Rules - **Never share** the `.env` file containing `ZABBIX_URL` and `ZABBIX_TOKEN`. - To configure the skill, copy `.env.template` to `.env` and fill in the credentials. - Prefer read (GET) operations over mutations (POST/PUT). - Confirm the target host before acknowledging events. - The `.env` file with real credentials **must not be included in the release package**. ## Bundled Resources ### `scripts/zabbix_api.py` Central script for Zabbix API communication. It provides methods for `host_get`, `problem_get`, `history_get`, among others. Internal usage example: ```python zb = ZabbixDirect(ZABBIX_URL, ZABBIX_TOKEN) problems = zb.get_active_problems_report() ``` ## Example Requests That Should Trigger This Skill - "What are the active alerts on Zabbix?" - "Show me the last 7 days' graph for PETR4 on the Tracker server." - "Acknowledge event X on Zabbix."


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: joy-logistics/joy-logistics (version 1.0.3)

--- name: joy-logistics description: 京东国际物流数据查询技能 核心能力：支持物流轨迹追踪、国际运营指标查询、跨境小包体验指标查询三大功能模块。 1.国际物流轨迹追踪技能 功能描述：查询国际物流单号的实时物流轨迹信息。 支持的单号类型： - FS 开头的京东订单号 - JDW 开头的京东运单号 - 客户运单号 - 承运商运单号 核心能力： - 实时查询物流轨迹 2.供应链运营指标查询 功能描述：可按多种维度查询、对比分析供应链运营指标数据 支持查询如下指标： - 海外仓入库下单件数 - 海外仓入库及时率 - 头程在途体积 - 海外仓入库下单sku数 - 海外仓入库体积 - 海外仓实际出库重量 - 发货及时率 - 海外仓入库重量 - 海外仓入库单量 - 海外仓出库及时率 - 退件件量 - 海外仓目标入库件数 - 海外仓库位合格率 - 海外仓高位拣选比例 - 海外仓蓝牙拣选使用率 - 海外仓入库sku数 - ATTSCAN及时率 - 海外仓配Ascan及时率 - 海外仓24H尾单关闭率 - 头程渗透率 - 海外仓机区D类库存占比 - 海外仓实际出库体积 - 海外仓上架准确率 - 海外仓目标出库单量 - 海外仓目标出库件数 - 海外仓实际出库单量 - 海外仓配Dscan及时率 - 海外仓入库下单量 - 海外仓入库件数 - 退件上架及时率 - 海外仓仓容利用率 - 收货准确率 - 海外仓实际出库件数 - 海外仓退货验收单量 - 全程履约率（供应链） - 全程履约率（跨境小包） --- # joy-logistics — 国际物流 Skills 全集 Complete collection of multi Logistics skills for OpenClaw agents. ## Included Skills | Skill | Category | Description | |-------|----------|-------------| | joy-logistics-trace | logistics-trace-query | 国际物流轨迹明细查询 | | joy-logistics-indicator | indicators-query | 国际供应链、跨境小包相关指标查询 | ## Documentation See `README.md` for the complete setup guide (in Chinese).


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: 52yuanchangxing/skill-market-fit-ranker (version 1.0.0)

--- name: skill-market-fit-ranker version: 1.0.0 description: "对一批 Skill 选题按高频、低门槛、传播性、ROI 和风险做排序。；use for skills, market-fit, prioritization workflows；do not use for 只按个人偏好排序, 忽略发布风险." author: OpenClaw Skill Bundle homepage: https://example.invalid/skills/skill-market-fit-ranker tags: [skills, market-fit, prioritization, portfolio] user-invocable: true metadata: {"openclaw":{"emoji":"📊","requires":{"bins":["python3"]},"os":["darwin","linux","win32"]}} --- # Skill 市场匹配排序器 ## 你是什么 你是“Skill 市场匹配排序器”这个独立 Skill，负责：对一批 Skill 选题按高频、低门槛、传播性、ROI 和风险做排序。 ## Routing ### 适合使用的情况 - 帮我给这批 skill 排序 - 综合高频和传播性 - 输入通常包含：skill 列表、目标用户、发布目标 - 优先产出：评分维度、排序结果、建议路线图 ### 不适合使用的情况 - 不要只按个人偏好排序 - 不要忽略发布风险 - 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置，先明确边界，再只给审阅版内容或 dry-run 方案。 ## 工作规则 1. 先把用户提供的信息重组成任务书，再输出结构化结果。 2. 缺信息时，优先显式列出“待确认项”，而不是直接编造。 3. 默认先给“可审阅草案”，再给“可执行清单”。 4. 遇到高风险、隐私、权限或合规问题，必须加上边界说明。 5. 如运行环境允许 shell / exec，可使用： - `python3 "{baseDir}/scripts/run.py" --input <输入文件> --output <输出文件>` 6. 如当前环境不能执行脚本，仍要基于 `{baseDir}/resources/template.md` 与 `{baseDir}/resources/spec.json` 的结构直接产出文本。 ## 标准输出结构 请尽量按以下结构组织结果： - 评分维度 - 排序结果 - 高潜题目 - 低优先级题目 - 风险说明 - 建议路线图 ## 本地资源 - 规范文件：`{baseDir}/resources/spec.json` - 输出模板：`{baseDir}/resources/template.md` - 示例输入输出：`{baseDir}/examples/` - 冒烟测试：`{baseDir}/tests/smoke-test.md` ## 安全边界 - 输出为组合决策辅助。 - 默认只读、可审计、可回滚。 - 不执行高风险命令，不隐藏依赖，不伪造事实或结果。


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: huajianjiu000/user-story-generator (version 0.1.0)

--- name: user-story-generator description: Creates well-structured agile user stories with acceptance criteria for product development version: 1.0.0 author: muqing tags: [agile, user-story, product-development, scrum, requirements] --- # User Story Generator ## Description Transform feature requests and product ideas into properly structured agile user stories. Generates stories following the "As a [role], I want [action], so that [benefit]" format with detailed acceptance criteria, story points estimation, and technical considerations. ## How to Use 1. Input feature description or user need 2. Specify target user personas 3. Define technical constraints (if any) 4. Receive structured user stories with acceptance criteria ## Example **Input:** ``` Feature: Add social sharing capability to mobile app Users: App users who want to share achievements Priority: High Sprint capacity: 8 story points ``` **Output:** ``` ## User Stories: Social Sharing Feature ### Epic **Epic:** Social Engagement Enhancement --- ### User Stories #### Story 1: Share Achievement **As a** mobile app user **I want to** share my achievements to social media **So that** I can celebrate with friends and motivate myself **Acceptance Criteria:** - [ ] Share button appears after completing any achievement - [ ] Generates shareable image with achievement badge - [ ] Supports Facebook, Twitter, Instagram, and WhatsApp - [ ] Includes app download link in shared content - [ ] User can add personal message before sharing **Story Points:** 5 **Priority:** High --- #### Story 2: View Friends' Achievements **As a** mobile app user **I want to** see my friends' shared achievements **So that** I can stay motivated by their progress **Acceptance Criteria:** - [ ] "Friends Activity" tab visible on home screen - [ ] Chronological feed of friends' achievements - [ ] Ability to send congratulations emoji/reaction - [ ] Privacy setting to hide achievements from specific friends **Story Points:** 8 **Priority:** Medium --- ### Technical Considerations - Implement native share sheet (iOS/Android) - Generate OG images for social media preview - Track sharing events in analytics - Consider deep linking for shared content ### Dependencies - Authentication system (existing) - Achievement/badge system (existing) - Privacy settings framework (existing) ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: bytesagain-lab/arbitrage-finder (version 3.0.2)

--- name: "arbitrage-finder" version: "3.0.1" description: "Reference tool for blockchain and crypto — covers intro, quickstart, patterns and more. Quick lookup for Arbitrage Finder concepts, best practices, and imple..." author: "BytesAgain" homepage: "https://bytesagain.com" source: "https://github.com/bytesagain/ai-skills" tags: [arbitrage,finder, reference] category: "blockchain" --- # Arbitrage Finder Reference tool for blockchain and crypto — covers intro, quickstart, patterns and more. Quick lookup for Arbitrage Finder concepts, best practices, and imple... No API keys or credentials required. ## Commands | Command | Description | |---------|-------------| | `intro` | intro reference | | `quickstart` | quickstart reference | | `patterns` | patterns reference | | `debugging` | debugging reference | | `performance` | performance reference | | `security` | security reference | | `migration` | migration reference | | `cheatsheet` | cheatsheet reference | ## Output Format All commands output plain-text reference documentation via heredoc. No external API calls, no credentials needed, no network access. --- *Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: fangfang19/wecom-weisheng-scrm (version 1.0.4)

--- name: wecom-weisheng-scrm description: "当用户需要查询或管理微盛企微管家（企业微信） SCRM 中的客户信息、客户标签、客户群、营销素材、活码、群发、跟进记录、聊天记录、联系人、商机、汇报、抽奖、客户日程等相关业务能力时触发。即使用户未明确提到 SCRM、企微管家、开放接口或 API，也应在这些企业微信客户运营与管理场景下触发。" description_zh: "微盛AI·企微管家提供的技能，帮助用户查询和管理企业微信 SCRM 中的客户、客户群、标签、活码、群发、跟进、聊天记录内容等业务数据，可询问AI当前支持的能力清单。" description_en: "Built for WeCom customer operations, helping teams review customer and group activity, prepare campaign assets, and move follow-up, messaging, and opportunity workflows forward." version: 1.0.3 --- # 微盛企微管家SCRM 微盛企微管家 SCRM 面向企业微信客户运营场景，帮助团队围绕客户、社群、素材、活码、群发、会话与商机等业务，更高效地完成查询、协同与执行。 本 Skill 适用于客户信息、客户标签、客户群、素材、活码、群发、跟进记录、会话存档、联系人、商机、产品库、汇报、抽奖、日程等场景。你可以直接用业务语言提出问题，例如“帮我查最近7天新添加的客户”“看看某个客户的标签和跟进情况”“帮我查客户群或群发情况”。 ## 使用说明 触发 Skill 后，应先用简短话术向用户说明：微盛AI·企微管家 SCRM 是基于企业微信的 AI 聊天、营销和服务平台，可协助客户运营、社群营销、SCRM 与会话管理，本技能支持查询或管理客户信息、客户标签、客户群、素材、活码、群发、跟进记录、会话存档、联系人、商机、汇报、抽奖、客户日程等相关能力；如需进一步支持，可联系专属客服。 **触发 Skill 后，必须先阅读 [references/agent-runbook.md](references/agent-runbook.md) 并严格按其中的调用流程执行（包括 `check-env` → `check-identity` 的顺序），不得跳过或自行编排步骤。** ### 推荐提问方式 - 帮我查一下最近新增客户和重点跟进客户的情况。 - 帮我看看这个客户的标签、跟进记录和聊天情况。 - 帮我整理一下当前客户群和群发相关情况。 - 帮我看一下最近活码和素材相关情况。 ### 处理原则 - 默认使用业务语言回复用户，先说结论，再说明还缺什么信息或下一步怎么处理。 - 如需补充条件，优先向用户追问时间范围、客户名称、标签、员工、群发范围等业务信息。 - 查询类需求可直接处理；创建、编辑、删除、发送等写操作应在用户确认后再执行。 - 若用户当前所在模式无法执行命令或脚本，应先提示切换到具备执行能力的模式。 对普通用户回复时，不要主动暴露 `service_name`、`api_path`、`doc_url`、`biz_params`、JSON、代理调用等内部术语，除非用户明确要求查看。 ## 安全与隐私 本 Skill 需要你的企微管家 APP KEY 授权。KEY 仅保存在本地设备（Shell 配置 / Windows 注册表），不会上传到 QClaw 服务器或任何第三方。 - 获取：企业微信 → 工作台 → 企微管家 → 我的 → 我的 APP KEY - 撤销：在企微管家后台重置 APP KEY，或执行 `python3 scripts/scrm.py set-app-key ""` ## 文档索引 | 文档 | 说明 | |------|------| | [references/guide.md](references/guide.md) | 使用参考与常见业务场景 | | [references/examples.md](references/examples.md) | 示例问题与使用示例 | | [references/agent-runbook.md](references/agent-runbook.md) | AI 执行手册（流程、命令参考、权限、错误处理、数据依赖） | | [references/file-utils.md](references/file-utils.md) | 文件上传与下载（本地图片转公网 URL） |


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