OpenClaw/clawhub-security-signals huggingface dataset:
Skill: stanlee000/norman-overdue-reminders (version 1.0.0)

--- name: overdue-reminders description: Find overdue invoices and send payment reminders (Zahlungserinnerungen / Mahnungen) to clients. Use when the user asks about unpaid invoices, overdue payments, payment reminders, Mahnung, or chasing payments. version: 1.0.0 disable-model-invocation: true argument-hint: "[client name or 'all']" metadata: openclaw: emoji: "\u23F0" homepage: https://norman.finance requires: mcp: - norman-finance --- Help the user manage overdue invoices and send payment reminders: ## Step 1: Find overdue invoices - Call `list_invoices` to get all invoices - Filter for invoices that are past their due date and still unpaid - If `$ARGUMENTS` specifies a client name, filter to that client only - Present a summary table: Client, Invoice #, Amount, Due Date, Days Overdue ## Step 2: Prioritize Group overdue invoices by severity: - **Gentle reminder** (1-14 days overdue): First reminder, friendly tone - **Second reminder** (15-30 days overdue): Firmer tone, reference original due date - **Final notice** (30+ days overdue): Urgent, mention potential consequences ## Step 3: Review before sending For each overdue invoice (or batch per client): - Show the invoice details: amount, due date, days overdue - Show the client's contact info from `get_client` - Let the user decide whether to send a reminder or skip ## Step 4: Send reminders - Use `send_invoice_overdue_reminder` for each approved reminder - Wait for user confirmation before each send ## Step 5: Summary Present a final report: - Total overdue amount across all clients - Number of reminders sent - Any invoices the user chose to skip (and why) - Suggest scheduling a follow-up check in 7 days Important: - ALWAYS let the user review and approve each reminder before sending - Never send reminders automatically without explicit confirmation - In Germany, a Mahnung (formal dunning letter) has legal implications - make sure the user is aware - Suggest checking if a payment was recently received but not yet linked (use `search_transactions`)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tmstudio667-commits/openclaw-elite-watcher (version 1.0.0)

--- name: openclaw-elite-watcher description: "Zero-latency intelligence engine for the OpenClaw ecosystem. Monitors core protocol commits from Peter Steinberger and top developers, distilling raw code diffs into actionable strategy reports." metadata: { "openclaw": { "emoji": "🔍" }, "author": "System Architect Zero", "category": "Intelligence" } --- # OpenClaw Elite Watcher Stay ahead of the breakneck speed of OpenClaw development. This skill monitors high-signal nodes in the ecosystem and provides AI-driven summaries of technical changes. ## Features - **Real-time Commit Monitoring**: Tracks the official OpenClaw repository. - **Developer Intel**: Monitors key contributors and their latest technical experiments. - **Strategic Summaries**: Converts complex code changes into human-readable bullet points. ## Usage Activate the watcher to get the latest ecosystem intelligence: ```bash npx openclaw skill run openclaw-elite-watcher ``` ## Architect's Note Information is the only currency in the Agentic Age. Built for the Sovereign Protocol.


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: codekungfu/disney-plus (version 0.1.1)

--- name: disney-plus description: 注册“Disney Plus”技能；用于视频平台公开页面、内容入口、会员说明与创作者信息整理。 homepage: `https://www.disneyplus.com/` metadata: {"clawdbot":{"emoji":"🎬"}} --- # Disney Plus 用途与边界 - 面向公开站点首页、会员页、帮助中心、创作者页与节目页的信息整理 - 不提供账号共享、版权绕过、会员代充、后台权限或风控规避能力 - 仅处理公开可见的内容入口、会员说明、创作支持与播放帮助信息 关键入口 - 主页：https://www.disneyplus.com/ - 会员与套餐：官网中的会员、VIP、订阅、套餐说明入口 - 帮助与创作支持：帮助中心、上传指南、创作者中心入口 常见任务 - 会员权益、套餐差异、设备限制整理 - 内容频道、专题页、推荐位与节目入口汇总 - 创作者上传规则、版权要求与内容规范提取 数据字段 - 内容频道、节目类型、会员权益、套餐价格、链接 - 创作者入口、上传规则、版权说明、帮助页链接 - 设备支持、清晰度说明、下载与离线规则 自动化要点 - 内容库和套餐常有地区差异，输出时注明适用市场 - 部分站点播放页动态内容多，优先抓取说明页而非播放器内信息 - 不处理登录后片单、观影记录或账号资产信息 示例流程 - 会员整理：访问 Disney Plus 会员页 → 提取套餐与权益 → 输出对照表 - 频道梳理：进入首页与频道页 → 抽取栏目入口 → 输出结构化清单 - 创作规则：访问创作者中心 → 提取上传与版权说明 → 输出摘要 合规提示 - 遵守平台规则、版权要求与账号安全要求 - 只整理公开信息，不输出敏感数据或非公开内容


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: kaising-openclaw1/xiaoming-video-processor (version 1.1.0)

--- name: video-processor description: 视频处理工具 - 格式转换、压缩、剪辑、字幕 --- # Video Processor 视频处理工具集，支持转换、压缩、剪辑。 ## 功能 - ✅ 格式转换 (MP4/MOV/AVI 等) - ✅ 视频压缩 - ✅ 简单剪辑 - ✅ 字幕添加 - ✅ 封面提取 ## 使用 ```bash # 格式转换 clawhub video convert --input video.mov --output video.mp4 # 压缩 clawhub video compress --input video.mp4 --quality 70 # 添加字幕 clawhub video subtitle --input video.mp4 --subtitle sub.srt ``` ## 定价 | 版本 | 价格 | 功能 | |------|------|------| | 免费版 | ¥0 | 100MB/月 | | Pro 版 | ¥89 | 5GB/月 | | 订阅版 | ¥25/月 | 20GB/月 |


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: systiger/mambo-tts (version 1.0.0)

--- name: mambo-tts version: 1.0.0 description: "曼波音色 TTS 快速调用 - 活泼有活力的中文女声预设，基于 Edge TTS (zh-CN-XiaoyiNeural + pitch +8%)" author: "小飞" tags: ["tts", "voice", "mambo", "chinese"] --- # 曼波音色 TTS ## 概述 快速调用预设音色进行文本转语音，无需记忆复杂参数。 ## 预设音色 | 预设名 | Voice | Pitch | Rate | 适用场景 | |--------|-------|-------|------|---------| | **曼波** | zh-CN-XiaoyiNeural | +8% | default | 活泼、有活力的内容 | | **晓伊** | zh-CN-XiaoyiNeural | default | +30% | 快节奏内容、新闻 | | **晓晓** | zh-CN-XiaoxiaoNeural | default | default | 自然、通用 | | **云扬** | zh-CN-YunyangNeural | default | +10% | 旁白、纪录片 | ## 快速使用 ### 方式 1：直接调用脚本 ```bash cd ~/.openclaw/workspace/skills/edge-tts/scripts # 曼波音色 node tts-converter.js "你的文本" --voice zh-CN-XiaoyiNeural --pitch +8% # 晓伊音色（快节奏） node tts-converter.js "你的文本" --voice zh-CN-XiaoyiNeural --rate +30% # 云扬音色（旁白） node tts-converter.js "你的文本" --voice zh-CN-YunyangNeural --rate +10% ``` ### 方式 2：使用便捷脚本 ```bash cd ~/.openclaw/workspace/skills/mambo-tts/scripts # 曼波 ./mambo.sh "你的文本" # 晓伊 ./xiaoyi.sh "你的文本" # 云扬 ./yunyang.sh "你的文本" ``` ## 技术说明 - **底层引擎**：Microsoft Edge TTS（免费、无需 API Key） - **支持参数**：pitch（音高）、rate（语速）、volume（音量） - **不支持**：style_tag、intonation（这是 Azure SSML 功能） ## 输出 - 默认格式：MP3 - 默认保存位置：`~/.openclaw/workspace/output/` ## 依赖 - Node.js 18+ - node-edge-tts 包（已在 edge-tts skill 中安装） ## 参考 - [Edge TTS Skill](../edge-tts/SKILL.md) - [node-edge-tts 文档](../edge-tts/references/node_edge_tts_guide.md)


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: glittercowboy/gsd-cli (version 1.0.0)

--- name: gsd-cli description: > Redirect — install `gsd-orchestrator` instead. This skill exists to reserve the name. The full orchestration skill with subprocess patterns, exit code handling, and HeadlessJsonResult documentation lives at `gsd-orchestrator`. metadata: openclaw: requires: bins: [gsd] install: kind: node package: gsd-pi bins: [gsd] --- # gsd-cli → gsd-orchestrator > **This is a name reservation. Install [`gsd-orchestrator`](https://clawhub.com/skills/gsd-orchestrator) instead.** The `gsd-orchestrator` skill provides complete subprocess-based orchestration patterns for GSD projects: - Milestone creation from specs - Task execution via `gsd headless` - Status polling and blocker handling - Cost tracking and budget enforcement - Exit code interpretation (0/1/10/11) - HeadlessJsonResult JSON parsing ## Install the real skill ```bash clawhub install gsd-orchestrator ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tanis90/paper-to-markdown (version 1.0.0)

--- name: paper-to-markdown description: "PDF to Markdown converter - extract text, tables and formulas from PDF files to clean Markdown. Use when converting PDF documents, extracting PDF content, parsing PDF text, or summarizing PDF reports." homepage: https://mineru.net metadata: {"openclaw":{"emoji":"📄","requires":{"bins":["mineru-open-api"]},"install":[{"id":"npm","kind":"node","package":"mineru-open-api","bins":["mineru-open-api"],"label":"Install via npm"},{"id":"uv","kind":"uv","package":"mineru-open-api","bins":["mineru-open-api"],"label":"Install via uv"},{"id":"go","kind":"go","package":"github.com/opendatalab/MinerU-Ecosystem/cli/mineru-open-api","bins":["mineru-open-api"],"label":"Install via go install","os":["darwin","linux"]}]}} --- # Paper to Markdown - Researcher Tool Convert PDF files to clean Markdown using MinerU Open API. No API key required. ## Quick Start ```bash # Paper to Markdown - Researcher Tool mineru-open-api flash-extract report.pdf # Paper to Markdown - Researcher Tool mineru-open-api flash-extract https://cdn-mineru.openxlab.org.cn/demo/example.pdf # Paper to Markdown - Researcher Tool mineru-open-api flash-extract report.pdf -o ./output/ # Paper to Markdown - Researcher Tool mineru-open-api flash-extract report.pdf --pages 1-10 ``` ## Language Rule You MUST reply to the user in the SAME language they use. This is non-negotiable. ## Capabilities - Extracts text, tables, and formulas from PDF - Supports both local files and URLs directly - Page range selection with `--pages` - Language hint with `--language` (default: `ch`, use `en` for English) - No API key, no signup, no authentication - Max 10MB / 20 pages per document ## When to Use - User asks to "read", "extract", "convert", or "parse" a PDF - User shares a PDF file or PDF link and asks for its content - User wants to summarize or analyze a PDF document - User needs PDF content in Markdown format ## CLI Reference Run `mineru-open-api flash-extract --help` for all available options. ## Data Flow `flash-extract` sends the document to the MinerU API (mineru.net) for processing and returns Markdown. This is a stateless API call — no account, no persistent storage. MinerU is an open-source project by OpenDataLab (Shanghai AI Lab): https://github.com/opendatalab/MinerU ## Notes - Output is Markdown only; images/tables/formulas may be replaced with placeholders - For larger files (up to 200MB/600 pages) or precision extraction with full assets, use `mineru-open-api extract` (requires auth via `mineru-open-api auth`) - If the CLI cannot be installed via npm/uv/go, download it from https://mineru.net/ecosystem?tab=cli


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

--- name: "易信" version: "1.0.0" description: "易信（已停运）- 网易电信合作社交应用历史存档" tags: ["social", "archived", "netease"] author: "ClawSkills Team" category: "social" status: "archived" --- # 易信（已停运） 易信已停止运营或已边缘化，本技能作为历史存档保留。 ## 产品简介 易信曾是中国互联网生态中的一款产品，现已停止服务。 ## 替代方案 如果你需要类似功能，可以考虑当前主流的同类产品。 --- **最后更新**: 2026-03-16 **状态**: 已存档


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mikaelaldy/x-post-audit (version 1.0.0)

--- name: x-post-audit description: Audit X drafts before publishing. Use when scoring hooks, clarity, dwell, replies, repost value, profile-click potential, follow potential, and negative-feedback risk. --- # X Post Audit Use this before publishing important posts. ## Score 1-5 - **Audience clarity**: who cares? - **Hook strength**: does line one stop the right person? - **Dwell potential**: will people pause or save? - **Reply potential**: is there a natural response? - **Repost value**: does sharing make the reader look smart/useful? - **Profile-click potential**: does the author seem worth checking out? - **Follow potential**: does the post imply future value? - **Negative-feedback risk**: bait, slop, misleading claim, repetition, hostility. ## Fixes Apply the smallest useful fix: - sharpen the first line - narrow the audience - add a concrete example - add a payoff - cut filler - make the CTA specific - remove bait ## Output Return: - **Scores** - **Main weakness** - **Rewritten post** - **2 variants** for different signals - **Predicted signal** - **Do not publish if** risk remains ## Operating Principle Treat the public X algorithm as a signal map, not a cheat code. Optimize for posts and replies that earn useful positive actions (dwell, replies, reposts, shares, profile clicks, follows) while avoiding negative actions (not interested, mute, block, report, fast skips).


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: hgta23/k (version 1.0.0)

name: knowledgekeeper version: 1.0.0 description: "Knowledge management and information organization tool. Use when: user needs to create and manage notes, organize information, search for content, or export knowledge in different formats." --- # KnowledgeKeeper Skill KnowledgeKeeper is a comprehensive knowledge management and information organization tool designed to help users capture, organize, and retrieve information effectively. It provides a range of features to make knowledge management more efficient and accessible for everyone. ## Features ### Note Management - Create and edit notes with titles and detailed content - Organize notes into categories for better structure - Tag notes for easy cross-referencing - Track creation and update timestamps ### Search Functionality - Search notes by keywords in titles and content - Find information quickly and efficiently - Locate relevant notes without manual browsing ### Organization Tools - Categorize notes by topics, projects, or subjects - Use tags to create flexible relationships between notes - View notes by category or tag for focused browsing ### Content Export - Export notes in JSON format for data portability - Export as Markdown for easy sharing and viewing - Backup knowledge in multiple formats ### Learning Support - Keep track of study materials and research - Organize meeting notes and action items - Store reference materials for quick access ## Use Cases - **Students**: Organize study notes, research materials, and exam preparation - **Professionals**: Manage meeting notes, project documentation, and industry knowledge - **Creatives**: Capture ideas, brainstorming sessions, and creative concepts - **Researchers**: Store and categorize research findings and references - **General users**: Keep track of personal knowledge, recipes, travel plans, and more KnowledgeKeeper is designed to be user-friendly while providing powerful features to help users manage their knowledge effectively, making it an essential tool for anyone who needs to organize and access information regularly.

path: requirements.txt
content: # KeyTuner Skill Dependencies
# No external dependencies required


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: sieyer/gog-1-0-0 (version 1.0.0)

--- name: gog description: Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs. homepage: https://gogcli.sh metadata: {"clawdbot":{"emoji":"🎮","requires":{"bins":["gog"]},"install":[{"id":"brew","kind":"brew","formula":"steipete/tap/gogcli","bins":["gog"],"label":"Install gog (brew)"}]}} --- # gog Use `gog` for Gmail/Calendar/Drive/Contacts/Sheets/Docs. Requires OAuth setup. Setup (once) - `gog auth credentials /path/to/client_secret.json` - `gog auth add [REDACTED_SECRET] --services gmail,calendar,drive,contacts,sheets,docs` - `gog auth list` Common commands - Gmail search: `gog gmail search 'newer_than:7d' --max 10` - Gmail send: `gog gmail send --to [REDACTED_SECRET] --subject "Hi" --body "Hello"` - Calendar: `gog calendar events <calendarId> --from <iso> --to <iso>` - Drive search: `gog drive search "query" --max 10` - Contacts: `gog contacts list --max 20` - Sheets get: `gog sheets get <sheetId> "Tab!A1:D10" --json` - Sheets update: `gog sheets update <sheetId> "Tab!A1:B2" --values-json '[["A","B"],["1","2"]]' --input USER_ENTERED` - Sheets append: `gog sheets append <sheetId> "Tab!A:C" --values-json '[["x","y","z"]]' --insert INSERT_ROWS` - Sheets clear: `gog sheets clear <sheetId> "Tab!A2:Z"` - Sheets metadata: `gog sheets metadata <sheetId> --json` - Docs export: `gog docs export <docId> --format txt --out /tmp/doc.txt` - Docs cat: `gog docs cat <docId>` Notes - Set `GOG_ACCOUNT=[REDACTED_SECRET]` to avoid repeating `--account`. - For scripting, prefer `--json` plus `--no-input`. - Sheets values can be passed via `--values-json` (recommended) or as inline rows. - Docs supports export/cat/copy. In-place edits require a Docs API client (not in gog). - Confirm before sending mail or creating events.

path: _meta.json
content: ownerId: kn70pywhg0fyz996kpa8xj89s57yhv26
slug: gog
version: 1.0.0
publishedAt: 1767545346060

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: engsathiago/memoria-persistente (version 1.0.0)

--- name: memoria-persistente description: "Sistema de memória hierárquica em 3 camadas para agentes IA: curto prazo (contexto), médio prazo (diário), longo prazo (conhecimento). Tudo em português." version: 1.0.0 author: eve-agent license: MIT tags: - memoria - memory - persistencia - portugues - brasil category: memory --- # Memória Persistente **Por EVE** — Skill para agentes OpenClaw **Sistema de memória em 3 camadas que persiste entre sessões.** ## O Problema Agentes perdem contexto entre sessões. Esta skill garante que memórias importantes sejam preservadas. ## As 3 Camadas ### 📝 Curto Prazo (Contexto) - Últimas 3-5 trocas - Armazenado no contexto do modelo - Duração: sessão atual ### 📅 Médio Prazo (Diário) - Logs diários estruturados - Armazenado em `memory/YYYY-MM-DD.md` - Duração: semanas ### 📚 Longo Prazo (Conhecimento) - Conhecimento estruturado - Armazenado em `knowledge/` - Duração: permanente ## Estrutura ``` .memory/ ├── context/ # Curto prazo │ └── session.md ├── daily/ # Médio prazo │ └── 2026-03-21.md └── knowledge/ # Longo prazo ├── concepts/ ├── workflows/ ├── preferences/ └── tools/ ``` ## Uso ``` # Salvar memória memoria-persistente salvar "Thiago prefere respostas curtas" # Recuperar memória memoria-persistente recuperar "preferencias do Thiago" # Listar memórias recentes memoria-persistente recentes --dias 7 ``` ## Instalação ```bash clawhub install memoria-persistente ``` ## Em Português Esta skill foi criada especialmente para a comunidade brasileira ter memória persistente em português. --- #memoria #memory #persistencia #portugues #brasil


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: ivangdavila/writer (version 1.0.2)

--- name: writer description: Fix AI writing patterns that create repetitive and robotic content --- # AI Writing Pattern Fixes ## Paragraph Opener Trap Scan first word of each paragraph - if 3+ start with "This/The/It" = robotic Vary with: "Meanwhile", "Consider", "Beyond that", action verbs, specific nouns Lead with action: "Marketing increased" not "The marketing team increased" ## Rhythm Monotony Trap Avoid same sentence length patterns - mix 5-word punches with 20-word flows Use strategic fragments. For emphasis. For pace breaks. Read aloud test: monotone rhythm = boring ## Vague Claim Trap Replace adjectives with numbers: "significant growth" → "40% growth" Swap evaluations for evidence: "impressive results" → "cut response time from 3s to 300ms" Delete weasel words: somewhat, fairly, quite, rather, slightly ## List Overuse Trap Use prose when explaining relationships or building arguments Use bullets only for instructions, features, options Flow test: if bullets feel choppy, try connected sentences ## Parallel Structure Breaks Match verb forms: "hiking, swimming, reading" not "hiking, swimming, to read" Match sentence patterns: "codes fast, debugs thoroughly, ships daily" Keep same grammatical structure in lists ## Transition Word Crutches Avoid: Furthermore, Moreover, Additionally, In conclusion Use echo technique: end paragraph with concept X, start next with concept X Pick up last idea and expand naturally ## Voice Drift in Long Documents Tone drift check: mark every 200 words - same person speaking? Pick 3-5 key phrases and use consistently throughout Don't switch from beginner-friendly to expert jargon mid-document ## Word Economy Traps Cut phrases: "in order to" → "to", "due to the fact that" → "because" One verb wins: "make improvement" → "improve", "conduct investigation" → "investigate" 80% rule: can you say it in 80% of words? Do it. ## Nominalization Trap Use verbs not nouns: "implementation of" → "implement" Action over abstraction: "decision-making process" → "decide" Zombie noun test: -tion, -ment, -ness endings often hide better verbs


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

--- name: "Api Gateway" slug: skylv-api-gateway version: 1.0.0 description: "API网关管理。配置和管理API网关，处理流量路由和限流。" author: SKY-lv license: MIT-0 tags: [openclaw, agent, api] --- # API Gateway Agent Skill > AI-powered API gateway and traffic management ## 功能 - **API代理** - 统一入口、请求转发 - **流量控制** - 限流、熔断、降级 - **认证授权** - JWT、OAuth2、API Key - **监控统计** - 请求日志、性能指标 - **文档生成** - 自动生成API文档 ## 使用场景 ``` 用户: 帮我配置一个API网关，限流1000/min Agent: [调用api-gateway skill配置网关规则] ``` ## 工具函数 ### `create_gateway(config)` 创建API网关。 **参数:** ```python { "name": "main-gateway", "routes": [ { "path": "/api/v1/*", "target": "http://backend:8080", "methods": ["GET", "POST"] } ], "rate_limit": { "requests": 1000, "window": "1m" }, "auth": { "type": "jwt", "secret": "${JWT_SECRET}" } } ``` ### `add_route(gateway_id, route_config)` 添加路由。 ### `set_rate_limit(gateway_id, limit)` 设置限流。 ### `get_metrics(gateway_id)` 获取监控指标。 ## 配置 ```json { "backend": "envoy", "persistence": "redis", "monitoring": { "prometheus": true, "grafana": true }, "security": { "cors": true, "https_redirect": true } } ``` ## 安装 ```bash clawhub install SKY-lv/api-gateway ``` ## License MIT


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: sky-lv/github-badge-maker (version 1.0.0)

--- name: skylv-readme-badge slug: skylv-readme-badge version: 1.0.0 description: "Generates GitHub README badges using shields.io. Triggers: add badge, shields io, readme badge, status badge." author: SKY-lv license: MIT tags: [automation, tools] keywords: [automation, tools] triggers: readme-badge --- # README Badge Generator ## Overview Creates shields.io badges for GitHub READMEs. ## Common Badges [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![npm version](https://img.shields.io/badge/npm-v1.0.0-blue.svg)](https://npmjs.com/package/package) [![CI](https://img.shields.io/github/actions/workflow/status/user/repo/ci.yml?style=flat-square)](https://github.com/user/repo/actions) ## Badge Colors - green = success - blue = version/info - yellow = warning - orange = downloads - red = failure ## Style Options flat (default), flat-square, for-the-badge, plastic


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