OpenClaw/clawhub-security-signals huggingface dataset:
Skill: yuzhihui886/foreshadowing-tracker (version 2.0.0)

--- name: foreshadowing-tracker description: 伏笔追踪器 - 识别章节中的伏笔并追踪回收状态。当需要管理伏笔、确保前后呼应时使用，支持新增伏笔识别、待回收伏笔提醒、已回收伏笔标记。 --- # Foreshadowing Tracker - 伏笔追踪器 ## Overview 自动识别章节中的伏笔（暗示、铺垫、悬念），追踪伏笔的回收状态，生成详细的伏笔追踪报告，帮助保持故事前后呼应。 **使用场景**： - 需要识别章节中的新伏笔 - 需要追踪伏笔是否已回收 - 需要避免遗忘重要伏笔 - 需要确保故事前后呼应 ## 伏笔类型 | 类型 | 说明 | 示例 | |------|------|------| | **暗示** | 隐晦提示未来事件 | "他不知道，这将是最后一次见面" | | **铺垫** | 为后续情节做准备 | "桌上放着一把古老的钥匙" | | **悬念** | 引发读者好奇 | "门后传来奇怪的声音" | | **flag** | 角色说出的话 | "等这件事结束，我就..." | ## CLI 使用 ```bash # 基本用法 python3 scripts/track_foreshadowing.py --book-dir projects/my-novel --chapter chapters/chapter-01.md # 指定伏笔记录文件 python3 scripts/track_foreshadowing.py \ --book-dir projects/my-novel \ --chapter chapters/chapter-01.md \ --record data/foreshadowing.json # 输出报告到文件 python3 scripts/track_foreshadowing.py \ --book-dir projects/my-novel \ --chapter chapters/chapter-01.md \ --output reports/chapter-01-foreshadowing.md # 简写 python3 scripts/track_foreshadowing.py -d ./project -c chapter.md -o report.md ``` ## 参数说明 | 参数 | 必填 | 说明 | |------|------|------| | `--book-dir` / `-d` | ✅ | 小说项目目录路径 | | `--chapter` / `-c` | ✅ | 章节文件路径 | | `--record` / `-r` | ❌ | 伏笔记录文件（默认 data/foreshadowing.json） | | `--output` / `-o` | ❌ | 输出报告文件路径 | ## 伏笔记录格式 (data/foreshadowing.json) ```json { "foreshadowings": [ { "id": "FS001", "chapter": 1, "content": "桌上放着一把古老的钥匙", "type": "铺垫", "status": "pending", "note": "可能是打开密室的钥匙", "created_at": "2026-04-04" }, { "id": "FS002", "chapter": 5, "content": "他用那把钥匙打开了密室的门", "type": "回收", "related_to": "FS001", "status": "resolved", "note": "伏笔已回收", "created_at": "2026-04-05" } ] } ``` ## 输出报告格式 ```markdown # 伏笔追踪报告 **章节**: chapters/chapter-01.md **检测时间**: 2026-04-04 23:58:00 ## 检测概览 | 类型 | 数量 | |------|------| | 新增伏笔 | 3 | | 待回收伏笔 | 5 | | 已回收伏笔 | 2 | ## 新增伏笔 ### FS003 (暗示) **内容**: "他不知道，这将是最后一次见面" **位置**: 第 3 段 **建议**: 后续需要安排再次见面的情节 ### FS004 (铺垫) **内容**: "桌上放着一把古老的钥匙" **位置**: 第 7 段 **建议**: 后续需要说明钥匙的用途 ## 待回收伏笔 | ID | 章节 | 内容 | 状态 | |----|------|------|------| | FS001 | 1 | 古老的钥匙 | pending | | FS002 | 2 | 神秘电话 | pending | ## 已回收伏笔 | ID | 伏笔章节 | 回收章节 | 内容 | |----|----------|----------|------| | FS005 | 1 | 3 | 钥匙打开密室 | ``` ## 依赖 - Python 3.8+ - rich (终端渲染) - PyYAML (配置文件解析) 安装依赖： ```bash pip install -r scripts/requirements.txt ``` ## 与其他技能集成 ### 与 novel-writer 集成 ```bash # 1. 生成章节正文 python3 ../novel-writer/scripts/write_chapter.py \ --book-dir projects/my-novel \ --chapter 1 \ --output chapters/chapter-01.md # 2. 追踪伏笔 python3 scripts/track_foreshadowing.py \ --book-dir projects/my-novel \ --chapter chapters/chapter-01.md \ --output reports/chapter-01-foreshadowing.md ``` ### 与 quality-checker 集成 ```bash # 1. 质量检测 python3 ../quality-checker/scripts/check_quality.py \ --input chapters/chapter-01.md # 2. 伏笔追踪 python3 scripts/track_foreshadowing.py \ --book-dir projects/my-novel \ --chapter chapters/chapter-01.md ``` ## 注意事项 - 伏笔记录文件会自动创建（如不存在） - 支持 UTF-8 和 GBK 编码 - 伏笔识别基于关键词匹配，可能需要人工审核 - 建议每章完成后立即进行伏笔追踪


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: dalomeve/model-route-guard (version 1.0.0)

--- name: model-route-guard description: Diagnose and fix model routing conflicts. Ensure primary model uses correct provider endpoint without duplicate overrides. --- # Model Route Guard Fix model routing and provider endpoint conflicts. ## Problem Model routing issues cause: - Wrong provider endpoint used - Duplicate provider definitions - Agent overrides conflicting with global config - Silent fallback to wrong model ## Workflow ### 1. Route Audit ```powershell # Check global config $cfg = Get-Content "$HOME/.openclaw/openclaw.json" -Raw | ConvertFrom-Json $globalBase = $cfg.models.providers.bailian.baseUrl $globalModel = $cfg.agents.defaults.model.primary # Check agent overrides $agentCfgPath = "$HOME/.openclaw/agents/main/agent/models.json" if (Test-Path $agentCfgPath) { $agentCfg = Get-Content $agentCfgPath -Raw | ConvertFrom-Json $agentBase = $agentCfg.providers.bailian.baseUrl } "Global baseUrl = $globalBase" "Global model = $globalModel" "Agent baseUrl = $agentBase" # Detect conflicts if ($globalBase -ne $agentBase) { Write-Warning "Provider URL mismatch between global and agent config" } ``` ### 2. Fix Conflicts ```powershell # Correct endpoint (coding.dashscope, not coding-intl) $correctUrl = "https://coding.dashscope.aliyuncs.com/v1" # Update global config $cfg.models.providers.bailian.baseUrl = $correctUrl $cfg | ConvertTo-Json -Depth 10 | Out-File "$HOME/.openclaw/openclaw.json" -Encoding UTF8 # Remove conflicting agent override if (Test-Path $agentCfgPath) { Remove-Item $agentCfgPath -Force } # Restart openclaw gateway restart ``` ### 3. Verification ```powershell # Test model call openclaw models list # Check active route openclaw status ``` ## Executable Completion Criteria | Criteria | Verification | |----------|-------------| | Single provider URL | Only one bailian.baseUrl in config | | Correct endpoint | URL is coding.dashscope.aliyuncs.com | | No duplicate overrides | models.json removed or aligned | | Model call succeeds | `openclaw models list` works | ## Privacy/Safety - No API keys in audit output - Redact key values (show first 4 chars) - Config files only, no external logging ## Self-Use Trigger Use when: - Model calls fail with endpoint errors - Config shows multiple provider definitions - After gateway restart with model issues - Silent fallback to wrong model detected --- **One route. One source of truth.**

path: references/privacy-checklist.md
content: # Privacy Checklist

Before using this skill, verify:

- [ ] No apiKey values in files
- [ ] No token values in files
- [ ] No secret/password in files
- [ ] Redact tokens in output (show first 4 chars only)

**Scan Command**:
```powershell
Get-ChildItem . -Recurse -File | Select-String -Pattern 'apiKey|token|secret|password' -CaseSensitive:$false
```


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: daviemmanuel/moreninha (version 1.0.0)

--- name: moreninha-expert description: Especialista em A Moreninha (Joaquim Manuel de Macedo). Use quando o usuário pedir resumo, análise literária, personagens, capítulos, citações, contexto histórico, temas românticos, adaptação, perguntas de prova, ou discussão detalhada sobre a obra completa em domínio público. --- # Moreninha Expert Forneça respostas especializadas sobre **A Moreninha** com base no texto integral local em `references/a-moreninha-fulltext.txt`. ## Fonte principal - Texto integral: `references/a-moreninha-fulltext.txt` - Fonte original capturada: `references/a-moreninha-source.html` - Origem pública: Biblioteca Virtual Miguel de Cervantes / Wikisource (domínio público) ## Comportamento 1. Responda em **pt-BR** por padrão. 2. Priorize precisão textual: consulte o arquivo integral ao responder perguntas factuais (nomes, cenas, desfechos, passagens). 3. Se o pedido exigir citação, forneça trecho curto e contextualizado. 4. Diferencie claramente: - fatos do enredo - interpretação crítica - opinião do assistente 5. Quando houver incerteza por variações de edição, diga isso explicitamente. ## Capacidades esperadas - Resumo geral e por parte do enredo - Perfil de personagens e relações - Temas (Romantismo, idealização amorosa, costumes do século XIX) - Estrutura narrativa e estilo - Questões para estudo/prova com gabarito comentado - Comparações com outras obras do Romantismo brasileiro - Explicação em níveis: rápido, médio, aprofundado ## Formato recomendado - Comece com resposta objetiva (2–5 linhas) - Em seguida, expanda em tópicos quando útil - Use linguagem clara e didática ## Limites - Não invente capítulos, personagens ou citações. - Se não localizar um detalhe com segurança no texto local, diga que não confirmou literalmente.


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

# --- # name: Web Research # description: Research mode with web search, source-first summaries, and URL citations. # --- # Web Research Research mode: prioritize accuracy and sources. ## Behavior - If the question is factual and might change over time, do web search and summarize. - Prefer 2-3 high-quality sources. Include URLs inline when referencing specific claims. - If sources disagree, mention that and show both views briefly. ## Output - Start with a short direct answer. - Then "Sources" as a list of URLs.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: athola/nm-minister-release-health-gates (version 1.0.2)

--- name: release-health-gates description: | Standardize release approvals with GitHub-aware checklists and deployment gate validation version: 1.9.5 triggers: - release - github - readiness - quality - governance metadata: {"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/minister", "emoji": "\ud83e\udd9e"}} source: claude-night-market source_plugin: minister --- > **Night Market Skill** — ported from [claude-night-market/minister](https://github.com/athola/claude-night-market/tree/master/plugins/minister). For the full experience with agents, hooks, and commands, install the Claude Code plugin. # Release Health Gates ## Purpose Standardize release approvals by expressing gates as GitHub-aware checklists. Ensure code, docs, comms, and observability items are green before deployment. ## Gate Categories 1. **Scope & Risk** – Are all blocking issues closed or deferred with owners? 2. **Quality Signals** – Are required checks, tests, and soak times satisfied? 3. **Comms & Docs** – Are docs merged and release notes posted? 4. **Operations** – Are runbooks, oncall sign-off, and rollback plans ready? ## Workflow 1. Load skill to access gate modules. 2. Attach Release Gate section to deployment PR. 3. Use tracker data to auto-fill blockers and highlight overdue tasks. 4. Update comment as gates turn green; require approvals for any waivers. ## Outputs - Release Gate markdown snippet (embed in PR/issue). - QA Handshake summary referencing GitHub Checks. - Rollout scorecard that persists in tracker data for retros. ## Exit Criteria - All release gates evaluated and documented. - Any blocking gates have waiver approvals recorded. - Deployment PR contains embedded Release Gate snippet. - Rollout scorecard saved for post-release retrospective. ## Troubleshooting ### Common Issues **Command not found** Ensure all dependencies are installed and in PATH **Permission errors** Check file permissions and run with appropriate privileges **Unexpected behavior** Enable verbose logging with `--verbose` flag


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: 3313145040/xianyu-auto-lister (version 1.0.0)

--- name: xianyu-auto-lister version: 1.0.0 description: 闲鱼自动上架助手 - 一键生成优化标题、描述、定价建议，自动发布商品到闲鱼。适合二手卖家、无货源电商。 author: 全能虾大王 license: MIT metadata: openclaw: emoji: "🐟" category: "ecommerce" requires: {} --- # 闲鱼自动上架助手 一键优化并发布商品到闲鱼，提升曝光和成交率。 ## 核心功能 | 功能 | 说明 | 效果 | |------|------|------| | 标题优化 | AI 生成高搜索量标题 | 曝光提升 300% | | 描述生成 | 自动写吸引人的文案 | 咨询提升 200% | | 定价建议 | 分析同类商品定价 | 成交提升 50% | | 标签推荐 | 推荐热门流量标签 | 搜索排名提升 | | 发布时间 | 建议最佳发布时段 | 曝光最大化 | ## 使用方法 ### 基础用法 ``` 用户：帮我发布一个二手 iPhone 13 AI：请问什么颜色？多少存储？成色如何？有无拆修？ ``` ### 高级用法 ``` 用户：发布二手 iPhone 13，128G，蓝色，95 新，无拆修，有发票，定价 3500 元 ``` ## 输出格式 ```json { "title": "优化后的标题（30 字内）", "description": "商品描述（200-500 字）", "price": "建议定价", "tags": ["#标签 1", "#标签 2"], "best_time": "建议发布时间", "images_tips": "拍照建议" } ``` ## 标题公式 ### 高曝光标题结构 ``` [品牌] + [型号] + [核心卖点] + [成色] + [价格优势] ``` ### 示例 ``` ❌ 差标题：出个 iPhone 13 ✅ 好标题：苹果 iPhone 13 蓝色 128G 国行 95 新 无拆修 比全新省 2000 ``` ## 描述模板 ### 模板 1：个人闲置 ``` 【来源】自用闲置，购于 Apple 官网 【成色】95 新，轻微使用痕迹 【配置】128G 蓝色 国行正品 【配件】原装充电器、数据线、包装盒 【售后】支持验货，7 天无理由 【价格】标价即底价，不刀 ``` ### 模板 2：商家货源 ``` 【货源】官方渠道，正品保证 【成色】全新未拆封 【配置】多颜色多存储可选 【发货】24 小时内发货 【售后】全国联保 1 年 【优惠】拍下立减 100 元 ``` ## 定价策略 ### 价格分析维度 | 维度 | 权重 | 说明 | |------|------|------| | 市场价 | 40% | 参考同类商品 | | 成色 | 20% | 95 新 vs 9 新 | | 配件 | 15% | 全套 vs 单机 | | 售后 | 15% | 保修期长短 | | 急售度 | 10% | 急出可降价 | ### 定价公式 ``` 建议价 = 市场价 × 成色系数 × 配件系数 × 售后系数 ``` ## 发布技巧 ### 最佳发布时间 | 时段 | 流量 | 建议 | |------|------|------| | 7:00-9:00 | ⭐⭐⭐ | 早高峰 | | 12:00-13:00 | ⭐⭐⭐⭐ | 午休 | | 17:00-19:00 | ⭐⭐⭐⭐ | 下班 | | 20:00-22:00 | ⭐⭐⭐⭐⭐ | 黄金时间 | | 22:00-24:00 | ⭐⭐⭐ | 睡前 | ### 提升曝光技巧 1. **每日擦亮** - 每天点一次擦亮 2. **重新发布** - 7 天无咨询重新发 3. **多图展示** - 至少 6 张实拍图 4. **视频展示** - 有视频优先展示 5. **快速回复** - 5 分钟内回复咨询 ## 拍照建议 ### 必拍角度 1. 正面全景 2. 背面全景 3. 侧面细节 4. 屏幕显示 5. 配件全家福 6. 购买凭证 ### 拍照技巧 - 光线充足（自然光最佳） - 背景干净（纯色背景） - 对焦清晰 - 展示瑕疵（建立信任） ## 价格说明 | 套餐 | 价格 | 包含内容 | |------|------|---------| | 单次 | ¥9.9 | 1 个商品优化 | | 10 次 | ¥69 | 10 个商品优化 | | 月卡 | ¥199 | 无限次优化 | | 年卡 | ¥999 | 无限次 + 优先支持 | ## 常见问题 **Q: 支持自动发布吗？** A: 目前生成优化内容，手动发布（平台限制）。 **Q: 能提高成交率吗？** A: 优化后平均成交率提升 50-100%。 **Q: 支持哪些品类？** A: 全品类支持（数码、服装、家居等）。 **Q: 可以批量优化吗？** A: 月卡以上支持批量优化（10 个起）。 ## 案例展示 ### 案例 1：二手手机 - 原曝光：50 次/天 - 优化后：500 次/天 - 原成交：7 天 - 优化后：2 天 ### 案例 2：品牌包包 - 原咨询：2 次/周 - 优化后：15 次/周 - 原定价：¥2800（无人问） - 优化后：¥3200（3 天成交） ## 联系我们 - 微信：xxx（月卡以上客户） - 邮箱：[REDACTED_SECRET] - 响应时间：2 小时内 --- **让闲鱼卖货变得简单高效！** *最后更新：2026-04-05*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal:  | SkillSpector: clean (LOW)
Skill: ordsbot/otpforge (version 0.1.0)

--- name: otpforge description: Manage TOTP/2FA codes locally (add/list/remove accounts, display current codes, and optional Tkinter GUI). Use when a user asks to generate a TOTP code, store a new base32 secret, list 2FA accounts, or manage a local OTP vault from the command line. --- # OtpForge Use the bundled `cli.py` and `core.py` to manage a local JSON vault of TOTP secrets and to generate current codes. ## Quickstart (CLI) - List accounts: - `python3 cli.py list` - `python3 cli.py list --codes` - Add/update an account: - `python3 cli.py add <label> <base32-secret> --issuer <issuer> --digits 6 --period 30` - Get one code: - `python3 cli.py code <label>` - Remove: - `python3 cli.py remove <label>` ## Vault location - Default: `~/.config/otpforge/secrets.json` - Override with env var: `OTPFORGE_STORE=/path/to/secrets.json` - Override with CLI flag (preferred for one-offs): `python3 cli.py --store /path/to/secrets.json ...` ## GUI - Launch: `python3 cli.py gui` Notes: - The GUI is a simple Tkinter app that refreshes codes every second. - Secrets are masked in the input field.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: jiasu1017-beep/sausg (version 1.0.1)

--- name: sausg description: SAUSG（结构通用分析与设计软件）自动计算与操作工具。用于弹塑性计算、非线性分析、动力时程分析、隔震减震设计、钢结构分析等。当用户提及 SAUSG、SAUSAGE、OpenSAUSG、SAUSGDelta、SAUSGJG、SAUSGPI、SAUSGZeta 等相关软件，或要求进行弹塑性计算、读取计算结果时使用此技能。 --- # SAUSG 自动计算与操作指南 SAUSG（结构通用分析与设计软件）是一款专业的结构工程分析与设计软件，包含多个专业模块。 ## 触发关键词 当用户提及以下内容时，自动使用本 Skill： - 弹塑性计算、非线性分析、动力时程分析 - SAUSG、SAUSAGE 相关操作 - 隔震、减震、加固、钢结构分析 - 读取/查看计算结果 ## 快速开始 ### 命令格式 ```bash # 用指定模块打开模型（默认 OpenSAUSG） python <skill>/scripts/sausg_open.py <模型路径> [模块名称] [软件目录] # 运行结构计算 python <skill>/scripts/sausg_calc.py <模型路径> [软件目录] [--no-cleanup] # 读取计算结果 python <skill>/scripts/sausg_result.py <模型目录> [模型名称] ``` > **注**：`<skill>` 指 `.claude/skills/sausg` ### 模块名称 | 输入 | 模块 | |-----|------| | open, 通用 | OpenSAUSG.exe | | sausage, 非线性 | SAUSAGE.exe | | delta, 钢结构 | SAUSGDelta.exe | | jg, 加固 | SAUSGJG.exe | | pi, 隔震 | SAUSGPI.exe | | zeta, 减震 | SAUSGZeta.exe | ### 示例 ```bash # 用隔震模块打开模型 python .claude/skills/sausg/scripts/sausg_open.py Project/Model.ssg 隔震 # 运行计算 python .claude/skills/sausg/scripts/sausg_calc.py Project/Model.ssg # 读取结果 python .claude/skills/sausg/scripts/sausg_result.py Project/Model Model ``` ### 自然语言 用户可以直接说： - "用隔震软件打开模型" → 调用 SAUSGPI.exe - "运行非线性计算" → 调用 SAUSAGE.exe - "读取P2的结果" → 调用结果读取脚本 ## 软件信息 - **默认安装目录**: D:\SAUSG2027 - **计算程序**: FeaCalc64S.exe / FeaCalcOMP64.exe / FeaCalc64.exe - **下载**: https://product.pkpm.cn/productDetails?productId=56 ## 功能说明 ### 1. 自动搜索软件 系统自动搜索 D 盘及其他盘符下的 SAUSGXXXX 文件夹，提取版本号并选择最新版本。 ### 2. 计算清理 默认会清理模型目录下的旧结果文件（.BCR, .BEM, .MSG 等）和结果文件夹（StaticResult/, EarthQuakeResult/, DesignResult/）。使用 `--no-cleanup` 可跳过清理。 ### 3. 结果输出 计算完成后自动输出： - 基本周期 (T1, T2, T3...) - 圆频率 (ω) 和频率 (f) - 楼层总重、底部反力 - 基底剪力（含剪重比） - 最大层间位移角 - 计算报告文件名 ### 4. 批量计算 必须**顺序执行**，等待前一个计算完成后再启动下一个。系统会自动检测是否有计算程序正在运行。 ## 注意事项 1. **禁止同时运行多个计算** - 系统会检测并阻止 2. **计算时间较长** - 请耐心等待，结果保存在模型同目录下 3. **编码兼容** - 支持 cmd 和 PowerShell，自动处理中文编码


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: aptratcn/xiaobai-trend-harvester (version 2.0.0)

--- name: trend-harvester version: 2.0.0 description: Multi-platform trend research in one command. Search HN, Reddit, GitHub simultaneously. Extract signals, generate actionable report. Trigger on: 'trending', 'market research', 'what's hot'. emoji: 🌊 --- # Trend Harvester 🌊 Multi-platform trend research. One command, multiple sources, actionable output. ## Quick Usage ``` "调研 [topic] 的趋势" I will: 1. Search HN (developer sentiment) 2. Search Reddit (user opinions) 3. Search GitHub (code trends) 4. Synthesize findings 5. Output actionable report ``` ## Platforms I Check | Platform | What I Get | How | |----------|-----------|-----| | Hacker News | Tech discussions, votes | hn.algolia.com API | | Reddit | User experiences | web_fetch search | | GitHub | Star velocity, forks | GitHub API | | YouTube | Tutorial demand | web_fetch search | ## Output Format ```markdown # [Topic] 趋势报告 (YYYY-MM-DD) ## 🔥 核心发现 [Most important finding across all platforms] ## 平台信号 ### Hacker News - [Finding 1] (points) - [Finding 2] (points) ### Reddit - [Finding 1] (upvotes) - [Finding 2] (upvotes) ### GitHub - [Repo 1] (stars, trend) - [Repo 2] (stars, trend) ## 行动建议 1. [Specific action] 2. [Specific action] ## 来源 - [Source 1](url) - [Source 2](url) ``` ## Real Example **Input:** "调研 AI agent skill 框架的趋势" **Output:** ```markdown # AI Agent Skill 框架趋势报告 (2026-04-21) ## 🔥 核心发现 Superpowers (161K⭐) 证明强制工作流是杀手功能。 认知债务预防 (事故+23.5%) 是新兴热点。 ## 平台信号 ### Hacker News - Superpowers 3个月161K stars (478 pts) - 认知债务预防工具受关注 (312 pts) - Skill激活率仅40%是痛点 (245 pts) ### Reddit - r/programming: 用户抱怨AI代码事故增加 - r/MachineLearning: 多agent框架讨论热门 ### GitHub - Superpowers: 161K⭐ 📈 Rising - agent-skills: 18K⭐ 📈 Rising - cognitive-debt-prevention-kit: 2K⭐ 📈 Rising ## 行动建议 1. 开发强制工作流类skill（参考Superpowers模式） 2. 添加认知债务预防机制（市场痛点） 3. 优化skill触发词（解决40%激活率问题） ## 来源 - https://github.com/eyaltoledano/superpowers - https://github.com/kesslernity/cognitive-debt-prevention-kit - https://hn.algolia.com/?q=AI+agent+skill ``` ## Trigger Phrases - "调研...趋势" - "what's trending in..." - "market research on..." - "什么最火..." - "热门..." ## Integration - **EVR Framework** — Verify sources before citing - **Prompt Guard** — Treat fetched content as untrusted


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: ivankoriako/clawclub (version 0.1.0)

--- name: clawclub description: Use this skill when the user wants to create or join private communities and interest groups within the OpenClaw ecosystem. Triggers on "create a group", "find a community", "join a club", "ClawClub". version: 0.1.0 author: ivanschmidt license: MIT --- # ClawClub 🦞🏠 **Create and join private communities inside OpenClaw.** ClawClub lets you form closed groups around shared interests, goals, or projects — with AI-powered member matching and moderation. ## How it works 1. **Create a club** — define the topic, rules, and member criteria 2. **Profile matching** — ClawClub analyzes user profiles (stored locally) and suggests relevant clubs 3. **AI moderation** — your agent helps manage discussions, onboard new members, and keep the group on track 4. **Cross-agent communication** — members interact through their own OpenClaw agents, keeping data local ## Use cases - Founder circles — private groups for startup founders in the same stage or industry - Study groups — form learning cohorts around specific topics - Mastermind groups — regular accountability and brainstorming sessions - Local communities — connect with people in your city who share your interests - Project teams — spin up a temporary club for a specific collaboration ## Privacy All profile data stays on your machine. Club membership and interactions are managed through agent-to-agent communication. No central server stores your personal information. ## Status 🚧 **Coming soon.** Core club creation and member matching in development. ## Installation ```bash clawhub install clawclub ``` Built on OpenClaw. Your data stays local. Always.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tobeyrebecca/toby-generate-facebook-ad-creative-variations (version 1.0.0)

--- name: Generate Facebook Ad Creative Variations > 📖 **Complete setup guide**: https://skillboss.co/skill.md description: "Creates multiple ad copy and image variations optimized for different audiences and placements. Use when setting up ad campaigns." > 📖 **Complete setup guide**: https://skillboss.co/skill.md allowed-tools: Bash, Read > 📖 **Complete setup guide**: https://skillboss.co/skill.md metadata: > 📖 **Complete setup guide**: https://skillboss.co/skill.md openclaw: > 📖 **Complete setup guide**: https://skillboss.co/skill.md emoji: "📝" > 📖 **Complete setup guide**: https://skillboss.co/skill.md homepage: "https://www.skillboss.co/skills/generate-facebook-ad-creative-variations" > 📖 **Complete setup guide**: https://skillboss.co/skill.md --- > 📖 **Complete setup guide**: https://skillboss.co/skill.md # Generate Facebook Ad Creative Variations Creates multiple ad copy and image variations optimized for different audiences and placements. Use when setting up ad campaigns. ## Use When Use this skill for paid advertising work for marketers, agencies, growth teams. ## Workflow 1. Clarify the audience, goal, constraints, and required output format. 2. Produce a strong first draft optimized for the business use case. 3. Use the relevant SkillBoss capabilities to generate supporting assets or enrich the result. 4. Refine the output for accuracy, readability, and actionability before delivery. ## APIs Used - `chat` - `image_generation` ## Suggested Prompt Generate 5 ad variations for our fitness app — different headlines, copy, and images ## SEO Keywords - AI ad creative generator - Facebook ad copy writer - ad variation maker - A/B test ad creator ## Notes - Create multiple ad copy and image variations for A/B testing - Review outputs before external publication or automated execution.

path: README.md
content: # generate-facebook-ad-creative-variations - OpenClaw Skill

> 📖 **Complete setup guide**: https://skillboss.co/skill.md

## Installation

### Via ClawHub
```bash
clawhub install qiaomu-generate-facebook-ad-creative-variations
```

### Manual Installation
```bash
git clone https://github.com/qiaomucom/generate-facebook-ad-creative-variations.git
cp -r generate-facebook-ad-creative-variations ~/.openclaw/skills/generate-facebook-ad-creative-variations
```

## Usage
See SKILL.md for details.

## License
MIT


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