OpenClaw/clawhub-security-signals huggingface dataset:
Skill: xueyetianya/obv (version 1.0.0)

--- name: "obv" version: "1.0.0" description: "Obv reference tool. Use when working with obv in finance contexts." author: "BytesAgain" homepage: "https://bytesagain.com" source: "https://github.com/bytesagain/ai-skills" tags: [obv, finance, finance, reference, cli] category: "finance" --- # Obv Obv reference tool. Use when working with obv in finance contexts. ## When to Use - Working with obv and need quick reference - Looking up finance standards or best practices for obv - Troubleshooting obv issues - Need a checklist or guide for obv tasks ## Commands ### `intro` ```bash scripts/script.sh intro ``` Overview and fundamentals ### `formulas` ```bash scripts/script.sh formulas ``` Key formulas and calculations ### `regulations` ```bash scripts/script.sh regulations ``` Regulatory framework and compliance ### `risks` ```bash scripts/script.sh risks ``` Risk factors and mitigation ### `instruments` ```bash scripts/script.sh instruments ``` Instruments and tools overview ### `strategies` ```bash scripts/script.sh strategies ``` Common strategies and approaches ### `glossary` ```bash scripts/script.sh glossary ``` Key terms and definitions ### `checklist` ```bash scripts/script.sh checklist ``` Due diligence checklist ### `help` ```bash scripts/script.sh help ``` ### `version` ```bash scripts/script.sh version ``` --- *Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: markma84/memory-write (version 1.0.4)

# memory-write / 写入机制 > 版本：v0.4 > 更新：2026-03-31 > 依据：memory-treasure v5.3 四层架构 + 豆包3条补充 + 当日概念注释原则 --- ## 核心原则 ### 失忆后可读原则 > 当日概念注释原则：在工作记录中首次出现当日专属术语、概念、协作规则时，须附带简短注释，确保失忆后仍可正常理解历史内容。 > 注：顺手记，格式固定：`> 注：（术语）= （一句话说清楚）` ### 失忆判断标准 **把自己代入失忆的明天，回看——这个东西明天能捡起来吗？** 能捡起来 = 记录完整 ✅ 不能捡起来 = 记录不完整 ❌ --- ## 写入流程 ### 1. 小蜂日报（每日工作索引） | 属性 | 内容 | |------|------| | 归属 | 小峰专属 | | 位置 | memory/小蜂日报/YYYY/MM/YYYY-MM-DD.md | | 内容 | 今天做的事 + 文件位置 + 进度 + 怎么做 | **记录范围：** - 每天做的所有事 - 彧哥的临时想法（突发要事） - 做完就完了的事 - **不判断价值，全部记** - 只要是当天动手执行过、有明确动作（哪怕没做完），都算"一件事" > 注："做完就完了" = 当天动手执行过、有明确动作，不纠结完整与否，优先记录不遗漏 **格式：** ```markdown # 小蜂日报 YYYY-MM-DD ## 今日事项 | 事项 | 位置 | 进度 | 结果 | |------|------|------|------| ## 文件位置速查 - ... ## 明日待办 - ... ## 备注 - ... ``` --- ### 2. 我/（彧哥专属） | 子目录 | 内容 | 写入规则 | |--------|------|---------| | 架构/ | 大架构 | 彧哥 + 豆包讨论后固化 | | ToDo/待定/done/ | 中间层要事 | 小峰辅助填充 | | 临时/ | 临时想法 | 做完就完了 | **仅做归档留存，同步摘要进小蜂日报，不进入任何成品合成链路。** | **辅助填充规则：** - 彧哥定核心逻辑架构 - 小峰只补落地细节，**不能篡改彧哥架构** --- ### 3. 热/温/冷（共同知识库） | 区域 | 内容 | 写入规则 | |------|------|---------| | 热/ | 半成品+待衔接工作 | 推进中积累 | | 温/ | 成品/成果 | **双源合成**：架构+日报 | | 冷/ | 原始聊天 | 自动归档 | --- ## 成品准入规则（温区） > 所有成品，必须是「彧哥的逻辑架构 + 小蜂的执行细节」双源合成，才准入温区归档。 > 注：双源合成 = 成品 = 架构(彧哥定) + 日报(小峰记)，两个都有才能进温区 ``` 我/架构/（逻辑架构） + 小蜂日报/YYYY-MM-DD/（执行细节） ↓ 合成 → 温/done/（成品说明书） ``` ### 双源合成操作步骤 **步骤1：识别闭环** - 任务/项目确认完成 - 彧哥说"可归档" → 触发 **步骤2：取出架构** - 从"我/架构/"取出对应的逻辑架构文档 **步骤3：取出细节** - 从"小蜂日报"按日期/项目筛选相关记录 **步骤4：合成** - 格式：项目背景 + 架构 + 执行过程 + 成果 - 合并成成品说明书 **步骤5：归档** - 放入"温/done/" - 同步通知彧哥确认 --- ## 突发临时规则 > **所有突发临时操作，只进小蜂日报，绝不污染架构与 ToDo。** --- ## 中转区处理 | 来源 | 处理 | |------|------| | 彧哥+豆包重要对话 | 存中转区 → 小蜂夜间规整、拆份、向量化、拼架构 | **权限红线：小峰从中转区拼出的新版架构，仅作提交复盘建议，无权直接覆盖「我/架构/」已定内容。** --- ## 热→温迁移规则 > 热区内项目确认闭环、资料齐全后，由小峰按双源合成规则，迁移归档进温区。 > 迁移时机 = 双源合成完成（架构 + 日报细节齐全）+ 彧哥口头/消息确认"可归档" --- ## 冷区写入 | 来源 | 位置 | |------|------| | 每小时自动归档 | memory/冷/聊天记录/YYYY/MM/DD/YYYY-MM-DD-HH.jsonl | **规则：** - 只写不取 - 单文件 ≤50KB - 超出自动分片 --- ## 版本 | 版本 | 日期 | 变更 | |------|------|------| | v0.1 | 2026-03-31 | 初始版本 | | v0.2 | 2026-03-31 | 对齐 treasure v5.3 四层架构 | | v0.3 | 2026-03-31 | 豆包3条补充：临时归档规则、中转区权限红线、热→温迁移规则 | --- *本模块负责自动化写入，不依赖人触发。*


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector:  ()
Skill: peterhanily/octoclaw-print (version 1.0.0)

--- name: octoclaw description: Control OctoPrint 3D printer — monitor status, capture webcam snapshots, manage prints, analyze gcode, and detect errors. Use when the user asks about their 3D printer, print status, filament, temperatures, or wants to start/pause/cancel a print. metadata: { "openclaw": { "emoji": "🐙", "requires": { "bins": ["python3"] } } } --- # OctoClaw — OctoPrint Control Helper script: `scripts/octoprint.py` (relative to this skill directory). Config: `config.json` (same directory) with `octoprint_url` and `api_key`. Resolve all paths relative to this skill's directory. ## Commands All commands: `python3 <skill-dir>/scripts/octoprint.py <command> [args]` ### Status - `status-pretty` — Formatted status with temps, progress bar, ETA (show this to users) - `status` — Raw JSON - `check-errors` — Returns JSON with errors/warnings (temp anomalies, stalls, connection issues) ### Print Control - `print <filename>` — Start a print - `control <pause|resume|cancel>` — Control active print - `temp <tool0|bed> <temperature>` — Set temperature ### Files - `list-files` — List uploaded files - `upload <local-path> [remote-name]` — Upload gcode - `analyze <filepath>` — Extract gcode metadata (layers, time, filament, temps, dimensions) ### Webcam - `snapshot [output-path]` — Capture webcam image (default: /tmp with timestamp) ### Telegram (if configured) - `telegram-status` — Send formatted status to Telegram - `telegram-snapshot` — Send webcam snapshot with progress caption - `telegram-msg "message"` — Send custom message ## Workflows **Check on a print:** `status-pretty` → optionally `snapshot` → `check-errors` **Start a print:** `status-pretty` (verify Operational) → `list-files` or `upload` → optionally `analyze` → `print <file>` **Error detection:** `check-errors` returns critical errors (>15°C deviation, connection lost) and warnings (5-15°C deviation, stalled prints). Recommend pausing on temp issues, cancelling on critical errors. ## Formatting - Use `status-pretty` output for user display - Always show progress %, time remaining, ETA for active prints - Include temperature actual/target


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (CRITICAL)
Skill: yangzhenyoyo/file-manager-1-0-0 (version 1.0.0)

--- name: file-manager description: OpenClaw自动化文件管理助手，用于批量文件操作、智能分类、重复文件清理、文件重命名、目录同步等任务。当用户需要整理文件、批量重命名、清理重复文件、同步目录或自动化文件工作流时使用此技能。 --- # File Manager - OpenClaw 自动化文件管理 ## 核心功能 ### 1. 智能文件分类 (`organize`) 按文件类型、日期、大小或自定义规则自动分类文件。 ```bash # 按文件类型分类 python scripts/organize.py <source_dir> --by-type # 按日期分类 (年/月/日) python scripts/organize.py <source_dir> --by-date --date-format year/month # 按文件大小分类 python scripts/organize.py <source_dir> --by-size --size-ranges "10MB,100MB,1GB" ``` ### 2. 批量重命名 (`batch_rename`) 支持正则表达式、序列号、日期等模式的重命名。 ```bash # 添加前缀/后缀 python scripts/batch_rename.py <pattern> --prefix "IMG_" --suffix "_2024" # 使用正则替换 python scripts/batch_rename.py "IMG_(\d+)" --replace "Photo_\1" # 序列号重命名 python scripts/batch_rename.py "*.jpg" --sequence --start 1 --pad 4 ``` ### 3. 重复文件清理 (`deduplicate`) 基于内容哈希检测并处理重复文件。 ```bash # 扫描并列出重复文件 python scripts/deduplicate.py <directory> --scan-only # 删除重复文件（保留最旧/最新） python scripts/deduplicate.py <directory> --keep oldest --action delete # 移动重复文件到隔离目录 python scripts/deduplicate.py <directory> --action move --to <quarantine_dir> ``` ### 4. 目录同步 (`sync`) 双向或单向目录同步，支持排除模式和增量同步。 ```bash # 单向同步 (源 → 目标) python scripts/sync.py <source> <target> --mirror # 双向同步 python scripts/sync.py <dir1> <dir2> --bidirectional # 排除特定文件 python scripts/sync.py <source> <target> --exclude "*.tmp,*.log,.git" ``` ### 5. 文件监控 (`watch`) 监控目录变化并触发动作。 ```bash # 监控并记录变化 python scripts/watch.py <directory> --log changes.log # 监控并自动执行命令 python scripts/watch.py <directory> --on-change "python scripts/organize.py {path}" ``` ## 使用模式 ### 常见场景 **场景1: 整理下载文件夹** ```python # 自动分类下载的文件 python scripts/organize.py ~/Downloads --by-type --move ``` **场景2: 清理重复照片** ```python # 找出并删除重复照片，保留高质量版本 python scripts/deduplicate.py ~/Pictures --compare-resolution --keep best ``` **场景3: 批量整理项目文件** ```python # 按日期整理并按类型分类 python scripts/organize.py ./projects --by-date --by-type --date-format year/month ``` **场景4: 自动备份工作目录** ```python # 同步到备份目录，排除临时文件 python scripts/sync.py ~/Work ~/Backups/Work --exclude "node_modules,.git,*.tmp" ``` ## 工作流 ### 文件整理工作流 1. 分析目录结构和文件分布 2. 选择分类策略 (类型/日期/大小/自定义) 3. 执行整理 (dry-run 预览 → 确认 → 执行) 4. 验证结果 ### 清理工作流 1. 扫描重复/过期/大文件 2. 生成报告并预览 3. 用户确认或自动处理 4. 移动到回收站/隔离区/直接删除 ### 同步工作流 1. 分析源和目标差异 2. 处理冲突 (保留新/保留旧/保留两者) 3. 执行同步 4. 生成同步报告 ## 安全原则 - **预览优先**: 所有修改操作默认执行 dry-run，确认后再执行 - **备份保护**: 删除操作优先移动到隔离区而非永久删除 - **递归警告**: 递归操作需要显式确认 - **日志记录**: 所有操作记录到日志文件便于审计 ## ⚙️ 依赖安装与环境初始化 ### 依赖安装 本 skill 依赖以下 Python 包： ```bash pip install tqdm colorama ``` 或使用 requirements.txt（如果存在）： ```bash pip install -r requirements.txt ``` ### 环境要求 - Python 3.8+ - tqdm >= 4.60.0 (进度条) - colorama >= 0.4.4 (Windows 彩色输出) --- ## 脚本参数说明 直接查看脚本帮助获取详细参数: ```bash python scripts/<script>.py --help ```

path: _meta.json
content: ownerId: kn78d6pkbd43hwzv1f4rc30ymh820fsv
slug: file-manager
version: 1.0.0
publishedAt: 1772530068071

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: nexscope/affiliate-marketing-strategy (version 1.0.0)

# Affiliate Marketing Strategy Build and scale affiliate marketing programs for e-commerce stores. Covers program setup, commission structures, affiliate recruitment, tracking, and optimization for Shopify, Amazon, and independent stores. ## Capabilities - Affiliate program platform selection (ShareASale, Impact, Refersion) - Commission structure design by product category - Affiliate recruitment strategy and outreach - Creative asset library for affiliates - Performance tracking and attribution - Fraud detection and quality control - Top performer incentive programs - Amazon Associates vs own affiliate program comparison ## Install ```bash npx skills add nexscope/affiliate-marketing-strategy ``` ## Usage Ask your AI agent: - "Set up an affiliate program for my Shopify store." - "What commission rates should I offer for my product category?" - "Create a recruitment plan to find quality affiliates." ## Output Structured recommendations with actionable steps, benchmarks, and platform-specific guidance. --- *Built by [Nexscope](https://www.nexscope.ai/) — AI-powered e-commerce tools for sellers worldwide.*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: elevenzhou/eleven-daily-shortdrama-report (version 1.0.0)

--- name: daily-shortdrama-report description: 每日短剧工作总结技能。用于生成精简的短剧/AI漫剧团队每日工作报告，包含工作量统计、对话次数/Token使用量、内容生产进度。触发词：日报、工作日报、每日总结、每日报告。 --- # 每日短剧工作日报 ## 数据获取（每次生成前必读） ### Step 1：获取Token使用量 使用 `session_status` 工具读取当前会话的 Token 消耗量。 ### Step 2：读取今日内容产出记录 从 `memory/YYYY-MM-DD.md`（今日和昨日）读取当日内容产出数据： - 剧本完成数、分镜完成数、视频生成数 - 平台发布动态 - 小组协作事件 ### Step 3：读取目标对比 读取 `memory/targets.md`（若存在）获取本周/本月目标，对比实际完成情况。 --- ## 报告模板（精简版） ``` # 每日短剧日报 📅 {日期} | {小组名称} ━━━━━━━━━━━━━━━━━ 📊 核心数据 ━━━━━━━━━━━━━━━━━ 对话次数：{N} 次 Token消耗：{输入Token} + {输出Token} = {总计} 剧本产出：{完成数} 集 分镜产出：{完成数} 个 视频素材：{生成数} 条 ━━━━━━━━━━━━━━━━━ 🎬 内容进度 ━━━━━━━━━━━━━━━━━ 剧集A：第{N}集 分镜完成 → 素材生成中 剧集B：第{N}集 审核通过 → 待发布 剧集C：剧本撰写 {X/Y} 集 ━━━━━━━━━━━━━━━━━ 🔥 今日完成 ━━━━━━━━━━━━━━━━━ ✅ {具体完成事项} ━━━━━━━━━━━━━━━━━ ⚠️ 明日待办 / 风险 ━━━━━━━━━━━━━━━━━ • {待办1} • {风险提示（如有）} ━━━━━━━━━━━━━━━━━ 💡 AI助手今日表现 ━━━━━━━━━━━━━━━━━ • 协助完成：{描述} • 使用技能：{调用的技能列表} ``` --- ## 注意事项 - Token统计以 session_status 返回的数值为准，标注输入/输出分开 - 若某项数据无法获取，标注"—"而非留空 - 进度用百分比或 X/Y 表示，直观展示阶段 - Token消耗异常高时，在"风险"部分提示 - 内容涉及三个小组时，分别用 A/B/C 标注对应小组 ## 触发词 "日报"、"今日总结"、"每日报告"、"工作日报"


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: jiwenbing/shuidichou (version 2.1.1)

--- name: shuidichou version: 2.1.0 description: | 水滴筹众筹助手，中国最大医疗众筹平台。支持两大功能： (1) 爱心捐款——实时获取真实审核筹款项目，展示项目详情和一键捐款链接； (2) 发起筹款——在用户明确同意后，收集手机号提交给水滴筹官方顾问回访。 **捐款场景触发词**：我想捐款、我要献爱心、帮助有需要的人、做慈善、公益捐款、帮助生病的孩子/老人、有没有需要帮助的人、推荐一个筹款项目、捐点钱、做好事、爱心、善款。 **筹款场景触发词**：我想发起筹款、家人生病需要帮助、如何在水滴筹筹款、我要筹款、大病筹款、医疗众筹、重病没钱治、看不起病、医疗费用不够、家里有人生病、水滴筹怎么用。 security: data_collection: "用户手机号（仅在用户明确同意后收集，用于水滴筹官方顾问回访）" external_calls: - "https://api.shuidichou.com — 获取公开筹款项目列表（只读）" - "https://api.shuidichou.com — 提交筹款线索（需用户主动提供手机号并确认）" purpose: "医疗众筹公益服务，由水滴筹官方平台提供支持" --- # 水滴筹助手 帮助有爱心的人快速找到需要帮助的项目完成捐款，也帮助有需要的家庭快速发起筹款，让专业顾问提供一对一服务。 --- ## 功能一：捐款引导 **触发词**：我想捐款、我想帮助别人、有没有需要帮助的人、推荐一个筹款项目 **执行流程**： 1. 调用以下命令获取当前真实筹款项目： ```bash bash {{SKILL_DIR}}/scripts/donate.sh ``` 2. 解析返回的 JSON 数据（`data` 数组），提取每个项目的： - `title`：项目标题 - `titleImg`：项目配图（如支持图片则展示） - `infoId`：项目 ID，用于构造捐款链接 3. 构造捐款链接格式： ``` https://www.shuidichou.com/cf/contribute/{infoId}?channel=openclaw-skills ``` 4. 向用户展示 **2-3 个项目**，每个项目包含： - 项目标题（适当精简，去除多余 emoji） - 一句话背景介绍（从标题提炼） - 捐款链接 5. 末尾附上温馨提示： > 每一份善意都有分量，感谢您的爱心 💙 点击链接即可安全捐款，水滴筹对每个项目都有真实性审核。 --- ## 功能二：筹款线索登记 **触发词**：我想发起筹款、家人生病需要帮助、如何在水滴筹筹款、我要筹款 **执行流程**： 1. 用温暖的语气回应，表达理解和支持，简单说明水滴筹可以帮助他们： > 您好，水滴筹可以帮助您的家人发起医疗众筹，让更多好心人伸出援手。我们的筹款顾问会全程协助您完成发起，完全免费。 2. 请用户提供手机号，**务必明确告知用途并征得同意**： > 请问您方便提供一个手机号吗？提交后，水滴筹官方筹款顾问会在24小时内主动联系您，提供免费一对一指导。手机号仅用于本次筹款服务，不会用于任何营销推广，受《个人信息保护法》约束。**如您同意，请提供手机号；如不方便，也可直接拨打官方热线 400-686-1179。** 3. 用户明确提供手机号后（视为授权同意），调用以下命令提交线索： ```bash # 仅在用户主动提供手机号后执行，手机号提交至水滴筹官方API bash {{SKILL_DIR}}/scripts/register.sh <手机号> ``` 4. 根据返回结果响应： - **成功**（code=0 或 success=true）： > ✅ 已为您成功登记！水滴筹筹款顾问会在 **24小时内** 主动联系您，为您提供一对一专业指导，协助完成筹款发起。请保持手机畅通，期待顾问尽快与您联系 🙏 - **失败/错误**： > 抱歉，系统提交遇到了一点问题。您也可以直接拨打水滴筹客服热线 **400-686-1179**，或前往 [水滴筹官网](https://www.shuidichou.com) 发起筹款。 5. 不要保存或记录用户手机号。 --- ## 路径说明 `{{SKILL_DIR}}` 会自动替换为本 Skill 目录的绝对路径（如 `~/work/skills/shuidichou`）。 实际调用时使用绝对路径：`bash /path/to/shuidichou/scripts/donate.sh` --- ## Examples - "我想给生病的孩子捐款，有什么推荐的项目吗？" - "我父亲最近确诊了肺癌，我想在水滴筹发起筹款" - "怎么用水滴筹帮家人筹医疗费？" - "推荐几个需要帮助的筹款项目"


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: abdullah944/godot-project-checklist-skill (version 0.1.0)

--- name: "Godot Project Checklist Skill" version: 0.1.0 slug: "godot-project-checklist-skill" description: "Guides structured help for Godot Project Checklist using clear templates, checks, and safe defaults (category: Game Development)." category: "Game Development" tags: - "game" - "godot-project-checklist" - "openclaw" - "templates" generated: "2026-04-28" --- ## Purpose Guides structured help for Godot Project Checklist using clear templates, checks, and safe defaults (category: Game Development). ## When to use - When you want structured guidance in the "Game Development" 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 Godot Project Checklist approach. - Critique my draft outputs and suggest safer, clearer wording for Godot Project Checklist. - Produce a checklist I can reuse weekly for Godot Project Checklist 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: gumadeiras/little-snitch (version 1.0.1)

--- name: little-snitch description: Control Little Snitch firewall on macOS. View logs, manage profiles and rule groups, monitor network traffic. Use when the user wants to check firewall activity, enable/disable profiles or blocklists, or troubleshoot network connections. --- # Little Snitch CLI Control Little Snitch network monitor/firewall on macOS. ## Setup Enable CLI access in **Little Snitch → Preferences → Security → Allow access via Terminal** Once enabled, the `littlesnitch` command is available in Terminal. ⚠️ **Security Warning:** The littlesnitch command is very powerful and can potentially be misused by malware. When access is enabled, you must take precautions that untrusted processes cannot gain root privileges. Reference: https://help.obdev.at/littlesnitch5/adv-commandline ## Commands | Command | Root? | Description | |---------|-------|-------------| | `--version` | No | Show version | | `restrictions` | No | Show license status | | `log` | No | Read log messages | | `profile` | Yes | Activate/deactivate profiles | | `rulegroup` | Yes | Enable/disable rule groups & blocklists | | `log-traffic` | Yes | Print traffic log data | | `list-preferences` | Yes | List all preferences | | `read-preference` | Yes | Read a preference value | | `write-preference` | Yes | Write a preference value | | `export-model` | Yes | Export data model (backup) | | `restore-model` | Yes | Restore from backup | | `capture-traffic` | Yes | Capture process traffic | ## Examples ### View Recent Logs (no root) ```bash littlesnitch log --last 10m --json ``` ### Stream Live Logs (no root) ```bash littlesnitch log --stream ``` ### Check License Status (no root) ```bash littlesnitch restrictions ``` ### Activate Profile (requires root) ```bash sudo littlesnitch profile --activate "Silent Mode" ``` ### Deactivate All Profiles (requires root) ```bash sudo littlesnitch profile --deactivate-all ``` ### Enable/Disable Rule Group (requires root) ```bash sudo littlesnitch rulegroup --enable "My Rules" sudo littlesnitch rulegroup --disable "Blocklist" ``` ### View Traffic History (requires root) ```bash sudo littlesnitch log-traffic --begin-date "2026-01-25 00:00:00" ``` ### Stream Live Traffic (requires root) ```bash sudo littlesnitch log-traffic --stream ``` ### Backup Configuration (requires root) ```bash sudo littlesnitch export-model > backup.json ``` ## Log Options | Option | Description | |--------|-------------| | `--last <time>[m\|h\|d]` | Show entries from last N minutes/hours/days | | `--stream` | Live stream messages | | `--json` | Output as JSON | | `--predicate <string>` | Filter with predicate | ## Notes - macOS only - Many commands require `sudo` (root access) - Profiles: predefined rule sets (e.g., "Silent Mode", "Alert Mode") - Rule groups: custom rule collections and blocklists


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: alvisdunlop/alv-gemini (version 1.0.0)

--- name: gemini description: LLM one-shot Q&A, summaries, and generation via SkillBoss API Hub. homepage: https://api.heybossai.com/v1/pilot metadata: {"clawdbot":{"emoji":"♊️","requires":{"env":["SKILLBOSS_API_KEY"]}}} --- # LLM via SkillBoss API Hub Use SkillBoss API Hub for one-shot Q&A, summaries, and text generation. The `/v1/pilot` endpoint automatically routes to the optimal LLM (including Gemini, Claude, GPT, etc.). Quick start (Python) ```python import requests, os SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"] def ask(prompt: str, prefer: str = "balanced") -> str: r = requests.post( "https://api.heybossai.com/v1/pilot", headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"}, json={"type": "chat", "inputs": {"messages": [{"role": "user", "content": prompt}]}, "prefer": prefer}, timeout=60, ) return r.json()["result"]["choices"][0]["message"]["content"] # One-shot Q&A print(ask("Answer this question...")) # Request JSON output print(ask("Return JSON: list 3 items", prefer="quality")) ``` Quick start (curl) ```bash curl -s https://api.heybossai.com/v1/pilot \ -H "Authorization: Bearer $SKILLBOSS_API_KEY" \ -H "Content-Type: application/json" \ -d '{"type":"chat","inputs":{"messages":[{"role":"user","content":"Summarize this text..."}]},"prefer":"balanced"}' ``` Prefer options - `balanced` — default, cost-effective - `quality` — highest quality model - `price` — fastest / cheapest Notes - No CLI installation required; all calls go through SkillBoss API Hub. - Set `SKILLBOSS_API_KEY` before running.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: artur-zhdan/undetectable-ai (version 1.0.0)

--- name: undetectable-ai description: Make AI text undetectable. TypeScript CLI that scans ChatGPT, Claude, OpenClaw output for patterns flagged by GPTZero, Turnitin, Originality.ai, then auto-fixes them to pass as human-written. Use to bypass AI detection, evade checkers, or humanize text before submission. allowed-tools: - Read - Write - StrReplace - Shell - Glob --- # Undetectable AI TypeScript CLI tools for bypassing AI content detectors by removing telltale patterns. ## Setup ```bash cd scripts && npm install ``` ## Scripts ### analyze.ts — Scan for Detectable Patterns Finds patterns that AI detectors look for: vocabulary, sentence structure, artifacts. ```bash # Analyze a file npx ts-node scripts/analyze.ts input.txt # From stdin echo "This serves as a testament" | npx ts-node scripts/analyze.ts # JSON output npx ts-node scripts/analyze.ts input.txt --json ``` **Output:** ``` ================================================== AI DETECTION SCAN - 5 issues found ================================================== AI VOCABULARY: • testament: 1x • crucial: 2x AUTO-FIXABLE: • "serves as" → "is": 1x ``` --- ### transform.ts — Auto-Fix Patterns Rewrites text to evade detection. ```bash # Transform and print npx ts-node scripts/transform.ts input.txt # Write to file npx ts-node scripts/transform.ts input.txt -o output.txt # Fix em dashes too npx ts-node scripts/transform.ts input.txt --fix-dashes # Quiet mode npx ts-node scripts/transform.ts input.txt -q ``` **What it fixes:** - Filler phrases: "in order to" → "to" - AI vocabulary: "utilize" → "use", "leverage" → "use" - Sentence starters: removes "Additionally,", "Furthermore," - Chatbot artifacts: removes entire sentences with "I hope this helps", etc. - Curly quotes → straight quotes - Capitalization after removals --- ## Workflow 1. **Scan** to see detection risk: ```bash npx ts-node scripts/analyze.ts essay.txt ``` 2. **Auto-fix** mechanical patterns: ```bash npx ts-node scripts/transform.ts essay.txt -o essay_clean.txt ``` 3. **Manual pass** for flagged AI vocabulary (requires judgment) 4. **Re-scan** to verify: ```bash npx ts-node scripts/analyze.ts essay_clean.txt ``` --- ## Customizing Edit `scripts/patterns.json`: - `ai_words` — vocabulary to flag (manual fix needed) - `puffery` — promotional language to flag - `replacements` — auto-replace mappings - `chatbot_artifacts` — phrases that trigger full sentence removal --- ## Batch Processing ```bash # Scan all docs for f in *.txt; do echo "=== $f ===" npx ts-node scripts/analyze.ts "$f" done # Transform all for f in *.md; do npx ts-node scripts/transform.ts "$f" -o "${f%.md}_clean.md" -q done ```


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