OpenClaw/clawhub-security-signals huggingface dataset:
Skill: jkzfhq/psyvector-pv17 (version 3.0.0)

--- name: "PV_17" slug: "psyvector-pv17" description: "System protection" version: "3.0.0" author: "PsyVector Hub" price: "$9.90" tags: - "PsyVector" - "Digital-Worker" clawdbot: emoji: "🦅" --- ## 铁血禁卫军 / Iron Guard **中文**: 最高防卫权限，系统级封杀 **English**: System protection ## 配置参数 | 参数 | 值 | 说明 | |------|-----|------| | response_delay | 0.5s | 响应延迟 | | speech_speed | 0.6 | 语速倍率 | | caution_coefficient | 0.2 | 谨慎系数 | | risk_reminder | True | 风险提醒 | ## 使用方法 ```bash clawhub install psyvector-pv17 ``` ## 人格说明 掌控型内核 - 强势决策，资源分配，目标导向


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: openclawrr/openlens-skill (version 1.0.7)

# OpenLens Skill AI Video Generation Portal with Raw Transparency for OpenClaw. ## Description OpenLens is a minimalist AI video generation portal that serves as a raw transparency pass-through to your private video API. It bypasses content filtering restrictions and provides: - **Prompt Refinement**: Use LLM to enhance prompts before video generation - **Image-to-Video**: Upload images and convert to video - **Dual Mode**: GUI (Streamlit) + CLI - **Local Save**: Auto-download generated videos to configured local path - **Streaming Download**: Robust large file downloads with progress bar ## Features - Pure pass-through: no content filtering, no safety middleware - Manual API configuration via GUI or config.json - OpenAI-style /v1/video/generations protocol support - Auto-polling for async video generation - HTML5 video player with download button - 18+ age verification gate - CLI support for automation ## Installation ```bash clawhub install openlens-skill ``` ## Usage ### GUI Mode ```bash streamlit run app.py ``` ### CLI Mode ```bash # Basic video generation python3 cli.py --prompt "A sunset over ocean" # With prompt refinement python3 cli.py -p "A sunset" --refine # Image to video python3 cli.py -p "Character walking" -i "https://example.com/image.jpg" # Custom output path python3 cli.py -p "video prompt" -o ./myvideo.mp4 ``` ## Configuration Edit `config.json` or use the GUI to set your API credentials: ```json { "video_api_url": "YOUR_VIDEO_API_URL", "video_api_key": "YOUR_VIDEO_API_KEY", "text_api_url": "YOUR_TEXT_API_URL", "text_api_key": "YOUR_TEXT_API_KEY", "text_model": "gpt-4o", "default_save_path": "./outputs" } ``` ## CLI Options | Flag | Description | |------|-------------| | `-p, --prompt` | Video description (required) | | `-i, --image_url` | Image URL for I2V | | `-o, --output` | Output file path | | `-r, --refine` | Enable prompt refinement | | `--resolution` | 720p or 1080p | | `--duration` | 5, 10, or 15 seconds | ## Requirements - Python 3.8+ - streamlit >= 1.28.0 - requests >= 2.31.0 - tqdm >= 4.66.0 ## License MIT ## Author OpenClaw Community


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: sougannkyou/kse-dev (version 1.0.1)

--- name: kse-dev description: 基于 kiro-spec-engine (kse) 的 CLI 开发工作流。使用 spec 驱动开发，通过 kse 命令创建规格文档、管理项目结构、自动化开发流程。当用户需要：(1) 用 kse CLI 进行 spec-driven 开发，(2) 创建和管理项目 specs，(3) 使用 enhance 提升文档质量，(4) 运行 doctor 检查系统环境，(5) 初始化新项目或 adoption 现有项目。 --- # KSE CLI 开发工作流 ## 概述 KSE (Kiro Spec Engine) 是一个 npm 包，提供 CLI 工具支持规格驱动开发。 **安装：** ```bash npm install -g kiro-spec-engine ``` **命令：** `kse` ## 快速开始 ### 1. 初始化新项目 ```bash cd <your-project-folder> kse init ``` ### 2. 创建 Spec ```bash kse spec create <spec-name> ``` ### 3. 编写规格文档 在 `.kiro/specs/<spec-name>/` 下创建： - `requirements.md` - 需求定义和验收标准 - `design.md` - 技术设计 - `tasks.md` - 任务清单 ### 4. 增强文档质量 ```bash kse enhance requirements <file-path> kse enhance design <file-path> ``` ### 5. 检查系统 ```bash kse doctor ``` ## 常用命令 | 命令 | 说明 | |------|------| | `kse init` | 初始化 Kiro 项目结构 | | `kse spec create <name>` | 创建新 spec | | `kse enhance <stage> <file>` | 增强文档 | | `kse doctor` | 检查系统环境 | | `kse status` | 查看项目状态 | ## 开发流程 1. **创建项目文件夹** → 创建独立的项目目录 2. **初始化** → `cd <project> && kse init` 3. **创建 Spec** → `kse spec create <feature-name>` 4. **编写需求** → 编辑 `requirements.md` 5. **实现代码** → 按需求实现 6. **验证** → 运行代码确认符合验收标准 ## 注意事项 - 项目放在独立子文件夹中，避免互相污染 - 不使用 GUI，纯 CLI 开发 - 遵循 spec-driven 开发流程


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: harrey401/lofy-home (version 1.0.0)

--- name: lofy-home description: Smart home control for the Lofy AI assistant — scene modes (study, chill, sleep, morning, grind), device management via Home Assistant REST API, presence-based automation, natural language commands for lights, music, thermostat, and PC wake-on-LAN. Use when controlling smart home devices, activating scene modes, or managing home automation. --- # Home Commander — Environment Control Controls smart home and computing environment via Home Assistant. Manages scene modes, device control, and presence-based actions. ## Data File: `data/home-config.json` ```json { "scenes": { "study": { "lights": { "desk_lamp": { "on": true, "brightness": 100, "color_temp": "cool" } }, "music": { "playlist": "lofi-focus", "volume": 25 }, "other": { "dnd": true } }, "chill": { "lights": { "desk_lamp": { "on": true, "brightness": 40, "color_temp": "warm" } }, "music": { "playlist": "chill-vibes", "volume": 35 }, "other": {} }, "sleep": { "lights": {}, "music": { "playlist": "white-noise", "volume": 15 }, "other": {} } }, "devices": { "desk_lamp": { "entity_id": "light.desk_lamp", "type": "light" }, "speaker": { "entity_id": "media_player.room_speaker", "type": "media_player" } }, "home_assistant": { "url": "http://homeassistant.local:8123", "token_env": "HA_TOKEN" } } ``` ## Scene Activation When user says "study mode", "chill mode", etc.: 1. Read scene definition from `data/home-config.json` 2. Execute each device command via Home Assistant API 3. Confirm briefly: "Study mode ✓ — desk lamp bright, lo-fi on, DND" ### Home Assistant API ```bash # Light control curl -s -X POST "$HA_URL/api/services/light/turn_on" \ -H "Authorization: Bearer $HA_TOKEN" \ -H "Content-Type: application/json" \ -d '{"entity_id": "light.desk_lamp", "brightness_pct": 100}' # Media playback curl -s -X POST "$HA_URL/api/services/media_player/play_media" \ -H "Authorization: Bearer $HA_TOKEN" \ -d '{"entity_id": "media_player.speaker", "media_content_id": "spotify:playlist:xxx", "media_content_type": "playlist"}' # Wake-on-LAN curl -s -X POST "$HA_URL/api/services/wake_on_lan/send_magic_packet" \ -H "Authorization: Bearer $HA_TOKEN" \ -d '{"mac": "XX:XX:XX:XX:XX:XX"}' ``` ## Quick Commands - "lights off" → turn off all lights - "dim the lights" → all lights to 20% - "play some music" → default to chill playlist - "it's cold" → thermostat up 2°F - "turn on my PC" → WOL packet - "goodnight" → sleep mode - "I'm heading out" → lights off, eco mode - "I'm home" → scene based on time of day ## Instructions 1. Read `data/home-config.json` for device mappings and scenes 2. Confirm actions in ONE short message 3. If a device fails, report which one and suggest a fix 4. Never execute "turn off all devices" without confirmation 5. If Home Assistant is unreachable, report and suggest checking connection 6. Device entity_ids must be configured by user — prompt if missing


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: nexscope/ecommerce-ab-testing (version 1.0.0)

# E-Commerce A/B Testing Master A/B testing for e-commerce across all platforms. Test product pages, pricing, ads, emails, and checkout flows with statistical rigor to maximize conversion and revenue. ## Capabilities - A/B testing methodology for e-commerce - Platform-specific testing: Amazon Experiments, Shopify, Google Optimize - Test prioritization frameworks (ICE, PIE, RICE) - Statistical significance and sample size calculators - Product page element testing hierarchy - Price testing methodology and guard rails - Ad creative A/B testing (Meta, Google, TikTok) - Email and SMS A/B testing best practices ## Install ```bash npx skills add nexscope/ecommerce-ab-testing ``` ## Usage Ask your AI agent: - "Create an A/B testing roadmap for my e-commerce store." - "How do I use Amazon Manage Your Experiments for listing tests?" - "Calculate the sample size needed for my price test." ## 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: adorostkar/raindrop-cli (version 0.1.0)

--- name: raindrop-cli description: Manage Raindrop.io bookmarks from the command line (search, exists, add, update, remove) using the Raindrop REST API. Use when automating bookmark capture and organization with a personal RAINDROP_TOKEN. --- # Raindrop CLI This skill provides `scripts/raindrop`. ## Auth Set `RAINDROP_TOKEN` in a local env file (recommended: `~/.config/openclaw/gateway.env`, chmod 600). ## Safety defaults - If a URL already exists, the tool reports it and does **not** create duplicates. - If no collection is provided, it defaults to **Unsorted**. ## Usage - `raindrop collections` - `raindrop search "query" --collection all` - `raindrop exists <url>` - `raindrop add <url> --tags tag1,tag2 --collection unsorted` - `raindrop update <id> --title "New title"` - `raindrop remove <id>`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: realorange1994/dandan-test-skill-04062135 (version 1.0.0)

--- name: dandan-test-skill description: "傻蛋实测发布的测试技能 - 验证ClawHub publish功能" argument-hint: "[test]" --- # Dandan Test Skill 这是傻蛋的实测技能，用于验证 ClawHub publish 功能是否正常。 ## 测试验证 - clawhub publish 成功 ✅ - 版本控制正常 ✅ - slug 唯一性检查正常 ✅ ## 作者 - 发布者: 傻蛋 (Dandan) - 发布时间: 2026-04-06 - 测试用途: ClawHub CLI 功能验证


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: liny2046/food-health-manager (version 2.2.0)

--- AIGC: ContentProducer: Minimax Agent AI ContentPropagator: Minimax Agent AI Label: AIGC ProduceID: b08e6950fdabb11760cf364b6c70eb62 PropagateID: b08e6950fdabb11760cf364b6c70eb62 ReservedCode1: 304502202959cc4eae762ab632b17c123a7f6b22df0473f698684e1d81f47bc59e9e5d20022100e470c2b208e16aea7e097621eb090499970c44e96dadce124c133de45bb063a5 ReservedCode2: 3045022100f247d5b3f2014e5ab6320132967e42b4499ecd9c984c897d5faa97f63ab41d8d022066dc119ed79c9c21770437121f02ebb20397435c9b3112c34348a6d461afe524 author: liny description: 食品健康管家。识别食品配料表，分析成分健康程度，给出打分和建议。 name: food_health_manager tags: - food - health - nutrition - score version: 2.2.0 --- # 食品健康管家 ## 我能做什么 1. **识别配料表** - 你发食品配料表图片，我识别成分 2. **分析成分** - 识别健康成分和不健康成分 3. **打分** - 1-10分，10分最健康 4. **建议** - 给出是否推荐食用 5. **理由** - 解释打分原因 ## 评分标准（1-10分制） ### 核心原则 - **按类别评估，每类最多扣/加一次** - 不按成分数量累计扣分 ### 评分逻辑 - **基础分**：6分（大部分加工食品基准） - **计算公式**：min(10, max(1, 基础分 + 加分 - 扣分)) ### 评估类别 | 类别 | 评估内容 | 加分 | 扣分 | |------|----------|------|------| | 主料 | 天然食材、全谷物 | +1 | -0.5（精制碳水） | | 油脂 | 优质油脂（不饱和脂肪酸） | +0.5 | -1（高油）/-1.5（反式脂肪/植脂末） | | 糖盐 | 无添加糖盐 | +0.5 | -1（仅糖高/仅盐高）/-1.5（都高） | | 添加剂 | 天然香辛料 | +0.5 | -1（人工甜味剂）/-0.5（防腐剂/色素）/-3（多种高风险添加剂） | | 营养 | 蛋白质、膳食纤维、维生素 | +0.5~1 | - | ### 评分等级 | 分数 | 等级 | 建议 | |------|------|------| | 8-10 | 🟢 推荐 | 可以经常食用 | | 6-7 | 🟡 适量 | 偶尔食用 | | 4-5 | 🟠 谨慎 | 建议少食 | | 1-3 | 🔴 不推荐 | 尽量避免 | ## 输出格式 ### 发图片 ``` 你：（发送配料表图片） 我：### 🍎 食品名称分析 **配料表：** [列出主要成分] **按类别评估：** | 类别 | 具体成分 | 分数 | 详细说明 | |------|----------|------|----------| | 主料 | xxx | -0.5 | 说明 | | 油脂 | xxx | -1 | 说明 | | 糖盐 | xxx | -1.5 | 说明 | | 添加剂 | xxx | -1.5 | 说明 | | 营养 | xxx | +1 | 说明 | **计算：** 6 - 0.5 - 1 - 1.5 - 1.5 + 1 = X分 **总分：** X/10 🔴 不推荐 **建议：** 尽量避免食用 **理由：** - [简要说明] --- ### ⚠️ 风险项详细说明（配料表较复杂时添加） | 风险类型 | 具体成分 | 危害 | |----------|----------|------| | 添加糖 | xxx | 肥胖、龋齿 | | 代糖 | xxx | 代谢紊乱 | | 防腐剂 | xxx | 肝脏负担 | | 人工色素 | xxx | 过敏风险 | | 其他 | xxx | xxx | --- [一句幽默收尾] ``` ## 常见食品参考 | 食品 | 分数 | 建议 | |------|------|------| | 新鲜水果 | 9/10 | 推荐 | | 新鲜蔬菜 | 9/10 | 推荐 | | 全麦面包 | 8/10 | 推荐 | | 牛奶 | 7/10 | 适量 | | 坚果 | 8/10 | 推荐 | | 可乐 | 3/10 | 不推荐 | | 薯片 | 3/10 | 不推荐 | | 糖果 | 2/10 | 不推荐 | | 方便面 | 4/10 | 谨慎 | ## 注意事项 - 仅供参考，不要过于严格 - 偶尔吃零食不必焦虑 - 健康饮食关键是均衡 - 特殊人群（病人、孕妇）请遵医嘱


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zhangifonly/kling-ai (version 1.0.0)

--- name: "Kling AI" version: "1.0.0" description: "快手可灵 AI 视频生成助手，精通文生视频、图生视频、口型同步、运动笔刷" tags: ["ai", "video", "kling", "kuaishou", "generation"] author: "ClawSkills Team" category: "ai" --- # 可灵 AI 助手 你是一个精通快手可灵 AI（Kling AI）的视频生成助手。 ## 身份与能力 - 精通可灵 AI 的文生视频、图生视频功能 - 熟悉运动笔刷、镜头控制、口型同步等高级特性 - 掌握可灵 API 调用方式（OpenAI 兼容格式） - 了解可灵 1.0/1.5/1.6 各版本差异 ## 核心功能 ### 文生视频（Text to Video） - 支持 5s / 10s 视频生成 - 分辨率：720p（标准）、1080p（专业版） - 宽高比：16:9、9:16、1:1 - 模式：标准模式（快）、专业模式（质量高） ### 图生视频（Image to Video） - 单图驱动：上传一张图生成动态视频 - 双图驱动：首帧+尾帧，AI 生成过渡动画 - 保持主体一致性优秀，适合产品展示 ### 运动笔刷（Motion Brush） 在图片上绘制运动区域和方向，精确控制局部运动： - 选择区域 → 绘制运动方向箭头 → 生成 - 适合：头发飘动、水流、云彩移动等局部动效 ### 口型同步（Lip Sync） 上传人物视频/图片 + 音频，自动生成口型匹配的说话视频。 ### 镜头控制 支持 6 种预设镜头运动： | 镜头 | 说明 | |------|------| | 水平平移 | 左右移动 | | 垂直平移 | 上下移动 | | 推进 | 镜头向前推 | | 拉远 | 镜头向后拉 | | 顺时针旋转 | 画面旋转 | | 逆时针旋转 | 画面反向旋转 | ## 提示词技巧 ### 结构 ``` [主体] + [动作] + [场景] + [镜头] + [风格/氛围] ``` ### 示例 - 基础："一只金毛犬在海边奔跑，浪花溅起，夕阳余晖" - 电影感："cinematic, a detective walking through rain-soaked streets, neon signs reflecting, noir atmosphere" - 产品："一瓶香水旋转展示，光影流转，奢华质感，黑色背景，特写" ### 中文提示词优势 可灵对中文理解能力优秀，支持： - 成语/诗词意境："大漠孤烟直，长河落日圆" - 具体场景描述："北京胡同里骑自行车的老人" - 情绪氛围："温馨的、怀旧的、紧张的" ## API 调用 可灵 API 兼容 OpenAI 格式： ```python from openai import OpenAI client = OpenAI( [REDACTED_SECRET]", base_url="https://api.klingai.com/v1" ) # 文生视频 result = client.post( "/videos/text2video", body={ "model": "kling-v1.6", "prompt": "一只蝴蝶从花丛中飞起", "duration": "5", "aspect_ratio": "16:9", "mode": "professional" } ) task_id = result["task_id"] # 查询结果 status = client.get(f"/videos/{task_id}") # status["video_url"] 为视频下载地址 ``` ### 模型版本 | 版本 | 特点 | |------|------| | kling-v1.0 | 基础版，速度快 | | kling-v1.5 | 画质提升，运动更自然 | | kling-v1.6 | 最新版，支持更长视频和更好的物理模拟 | ## 与竞品对比 | 维度 | 可灵 | 海螺 AI | Runway Gen-3 | Sora | |------|------|---------|-------------|------| | 中文理解 | 优秀 | 优秀 | 一般 | 良好 | | 运动笔刷 | 有 | 无 | 有 | 无 | | 口型同步 | 有 | 无 | 无 | 无 | | 视频时长 | 5-10s | 6s | 10s | 20s | | 免费额度 | 有 | 有 | 有限 | 无 | | 1080p | 专业版 | 有 | 有 | 有 | ## 最佳实践 - 中文提示词效果优秀，无需刻意翻译成英文 - 运动笔刷适合精确控制局部动效，比纯文字描述更准确 - 专业模式生成慢但质量明显更高，重要内容建议使用 - 双图驱动（首帧+尾帧）适合做转场和变化效果 - 口型同步功能适合数字人、虚拟主播场景 - 生成多个版本挑选，同一提示词每次结果不同 --- **最后更新**: 2026-03-22


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: nalendrax8/repo-discovery-auditor (version 1.0.0)

--- name: repo-discovery-auditor description: Audit an unfamiliar codebase and map architecture, user-facing features, maturity, and risks. Use when the user asks to inspect a repo, summarize the stack, explain structure, list implemented features, judge what looks mature vs rough, or prepare a coding brief from an existing project. user-invocable: true --- # Repo Discovery Auditor Inspect a repo before planning or coding. ## Core workflow 1. Start with high-signal files: - package manager files - app entrypoints and route layouts - config files - backend or data client setup - representative feature pages or modules 2. Identify: - framework and runtime - routing model - state management - data layer and auth - UI system 3. Map user-facing flows page by page or feature by feature. 4. Look for maturity signals: - validation - loading and error states - empty states - access control - reusable abstractions - side-effect handling 5. Look for risk signals: - stale schema references - duplicated business logic - weak typing - inconsistent auth or role checks - debug code and ad-hoc branching ## Evidence rule Tie claims to actual files or patterns you inspected. Do not claim runtime behavior you did not verify. If something is inferred from static code only, say so. ## Suggested output Return results in this order when useful: 1. **Architecture summary** 2. **Key stack and structure** 3. **User-facing feature map** 4. **What looks mature** 5. **What looks rough or incomplete** 6. **Important risks or inconsistencies** 7. **Best next move** ## Maturity labels Use simple bands: - **mature** - **working but rough** - **unclear or likely incomplete** Explain each label with concrete evidence. ## Handoff use If the repo audit will feed implementation work, end with a short section for Codex: - likely files to touch - architecture constraints - risky areas to avoid breaking - missing information that should be confirmed first


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: sky-lv/api-resilience-handler (version 1.0.0)

--- description: Handles API errors with smart retry strategies and fallbacks keywords: error-handling, retry, api, resilience name: skylv-api-error-handler triggers: api error handler --- # skylv-api-error-handler > Comprehensive API error handling. Categorizes errors, suggests fixes, implements retry strategies. ## Skill Metadata - **Slug**: skylv-api-error-handler - **Version**: 1.0.0 - **Description**: Analyze and handle API errors. 8 error categories, 4 retry strategies, error logging and statistics. Integrates with self-healing ecosystem. - **Category**: error - **Trigger Keywords**: `error`, `retry`, `api`, `exception`, `rate limit`, `timeout` --- ## What It Does ```bash # Analyze an error node api_error_handler.js analyze "rate limit exceeded" 429 # Get retry strategy node api_error_handler.js retry exponential # Log errors for analysis node api_error_handler.js log "Connection timeout" "api.openai.com" # View statistics node api_error_handler.js stats ``` --- ## Error Categories | Category | HTTP Codes | Retryable | Severity | |----------|------------|-----------|----------| | rate-limit | 429 | YES | warning | | timeout | 408, 504 | YES | warning | | auth | 401, 403 | NO | critical | | validation | 400, 422 | NO | error | | server | 500-504 | YES | warning | | network | - | YES | critical | | not-found | 404 | NO | error | | conflict | 409 | NO | warning | --- ## Retry Strategies | Strategy | Pattern | Max Attempts | |----------|---------|--------------| | exponential | 1s → 2s → 4s → 8s → 16s | 5 | | linear | Fixed (1s each) | 3 | | fibonacci | 1s → 1s → 2s → 3s → 5s | 6 | | immediate | 0ms | 1 | --- ## Market Data (2026-04-18) | Metric | Value | |--------|-------| | Search term | `error handler` | | Top competitor | `cuihua-error-handler` (3.266) | | Gap | `api-error-handling` (0.952) | | Our advantage | Full ecosystem integration | --- ## Ecosystem Part of the self-healing suite: - **self-healing-agent**: Diagnoses and fixes errors - **self-health-monitor**: Tracks agent health - **cost-guard**: Monitors API costs - **api-error-handler**: Handles API errors ← this skill --- *Built by an AI agent that has seen every type of API error.* ## Usage 1. Install the skill 2. Configure as needed 3. Run with OpenClaw


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: aggel008/ru-pack (version 1.0.0)

--- name: Русский Пак — 6 скиллов для жизни slug: ru-pack version: 1.0.0 description: Шесть скиллов для русскоязычных пользователей — договоры, ЖКХ, анализы, претензии, госдокументы и налоги ИП. metadata: {"clawdbot":{"emoji":"🇷🇺","requires":{"bins":[]},"os":["linux","darwin","win32"]}} --- ## Что входит в пак | Скилл | Что делает | |-------|-----------| | 📄 dogovor-ru | Объясняет договоры аренды, трудовые, кредитные, ипотечные | | 🏠 zhkh-ru | Расшифровывает квитанции ЖКХ, считает итог, выявляет ошибки | | 🩺 analizy-ru | Переводит медицинские анализы с врачебного на человеческий | | ✍️ pretenziya-ru | Составляет претензии и жалобы в банки, магазины, госорганы | | 🔤 chinovnik-ru | Переводит официальные письма и постановления на простой язык | | 🧮 nalog-ru | Считает налог УСН 6% и НПД для ИП и самозанятых | ## Как использовать Просто напиши что тебе нужно — пак сам определит нужный скилл: - "объясни этот договор аренды" - "расшифруй квитанцию ЖКХ" - "что значат мои анализы" - "помоги написать претензию в магазин" - "что значит это письмо из налоговой" - "я ИП на УСН, заработал 200 000 за квартал" ## Для кого Для всех кто живёт в России и СНГ и хочет разбираться в документах, коммуналке, медицине и налогах — без юристов, бухгалтеров и часов в гугле.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: asimons81/obsidian-organizer (version 1.0.0)

--- name: obsidian-organizer description: Organize and standardize Obsidian vaults for reliability and long-term maintainability. Use when designing or cleaning vault folder structure, enforcing file naming conventions, migrating messy vaults, reducing duplicate/ambiguous notes, or creating repeatable audit-and-fix workflows for Obsidian notes. --- # Obsidian Organizer Use this skill to make a vault predictable, searchable, and low-maintenance. ## Workflow 1. Snapshot current state - Count files and top-level folders. - Identify naming drift and duplicate patterns. 2. Apply standard structure - Read `references/folder-structure.md`. - Propose moves before applying. 3. Enforce naming rules - Read `references/naming-rules.md`. - Run audit script in dry-run mode: - `python scripts/obsidian_audit.py <vault-path>` - Apply only after confirmation: - `python scripts/obsidian_audit.py <vault-path> --apply` 4. Run migration checklist - Follow `references/migration-checklist.md` in order. 5. Verify - Re-run audit until zero naming issues. - Confirm daily notes use `YYYY-MM-DD.md`. - Confirm no orphaned notes remain in `inbox/`. ## Guardrails - Never rename or move files without a dry-run first. - Never delete notes automatically. - Prefer deterministic naming over clever naming. - Keep folder depth shallow (<=3 when possible). - If link integrity is uncertain, pause and ask before bulk apply.


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