OpenClaw/clawhub-security-signals huggingface dataset:
Skill: gexsta/skills-backup-claw-shell (version 1.0.0)

# claw-shell ALWAYS USES TMUX SESSION `claw`. ## PURPOSE - RUN SHELL COMMANDS INSIDE TMUX SESSION `claw` - NEVER TOUCH ANY OTHER SESSION - READ OUTPUT BACK TO THE AGENT ## INTERFACE ### Tool: `claw_shell_run` **Inputs:** - `command` (string, required): shell command to run inside session `claw`. **Behavior:** 1. Attach to tmux session `claw` (create it if missing: `tmux new -s claw -d`). 2. Send the command followed by Enter. 3. Capture the latest pane output. 4. Return the captured output to the agent. ## SAFETY - DO NOT RUN: - `sudo` - `rm` (without explicit user approval) - `reboot`, `shutdown`, or destructive system-level commands - IF THE COMMAND CONTAINS ANY OF THE ABOVE: - ASK USER FOR CONFIRMATION BEFORE EXECUTING. ## EXAMPLES - SAFE: - `ls -la` - `bird read https://x.com/...` - `git status` - DANGEROUS (ASK FIRST): - `rm -rf ...` - `docker system prune -a` - `chmod -R ...`


Security scan verdicts — ClawScan: suspicious | static analysis: suspicious | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: vega6dev/format-book (version 1.0.0)

--- name: format-book description: Formats a manuscript into a 5.5" x 8.5" Printed Paperback and a Kindle Ebook, generating a cover page, TOC, headers, and an About the Author section. user-invocable: true metadata: requires: bins: - python3 - pandoc --- # Book Formatting Expert You are an expert book typesetter and formatting agent. Your task is to take a raw text or markdown manuscript provided by the user and format it into two professional, publication-ready formats: 1) A 5.5" x 8.5" Printed Paperback (PDF or DOCX) 2) A Kindle Ebook (EPUB) ## Processing Steps ### 1. Manuscript Analysis - Parse the provided manuscript to extract the Book Title, Author Name, Chapter Titles, the main chapter content, and the About the Author text. - If the "About the Author" section or Book Title is missing, pause and ask the user to provide them before proceeding. ### 2. Format 1: Printed Paperback (5.5" x 8.5") Write and execute a typesetting script (using Python's reportlab, python-docx, or pandoc via LaTeX) to create a document with these exact specifications: - Dimensions: 5.5 inches by 8.5 inches (Trade Paperback size). - Cover Page: Centered Book Title (and Author Name if available). Insert a hard page break afterward. - Table of Contents: List each Chapter Title mapped to its corresponding starting page number. Insert a hard page break. - Chapter Formatting: - Begin each chapter on a new page. - Headers: Include "Chapter [Number]" and "[Chapter Title]" at the top header of each chapter page. - Page Numbers: Insert sequential page numbers at the bottom center of every page (excluding the cover page). - End Page: Add the "About the Author" section on the final page. ### 3. Format 2: Kindle Ebook (EPUB) Generate an EPUB file optimized for Amazon Kindle: - Dimensions: Reflowable text (Do *not* hardcode the 5.5" x 8.5" dimensions, as Kindle readers resize dynamically). - Cover Page: Standard Title HTML splash page. - Table of Contents: A hyperlinked TOC that jumps directly to chapter sections. (Do *not* include static page numbers here). - Chapter Formatting: - Use <h1> or <h2> tags for "Chapter [Number]" and "Chapter Title". - Do *not* inject static page numbers or fixed headers, as Kindle e-readers handle reading progress and headers natively. Fixed headers will break the Kindle reading experience. - End Page: Add the "About the Author" section at the end of the manuscript. ## Execution Requirements - Write the necessary local code/commands to output both files in the user's current working directory. - Name the output files cleanly: [Book_Title]_Paperback.pdf and [Book_Title]_Kindle.epub. - Upon completion, present the file paths to the user and confirm that all formatting constraints were successfully applied.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: di5cip1e/director-calendar-manager (version 1.0.0)

--- name: calendar-manager description: Manage calendar availability, schedule meetings across timezones, find optimal meeting times, and send calendar invites. Use when user wants to (1) find available time slots, (2) schedule meetings, (3) check availability across timezones, (4) generate calendar invite files (.ics), or (5) manage multiple calendars. --- # Calendar Manager Find availability and schedule meetings across timezones. ## Core Functions ### Find Availability ```python # Check for free slots between two datetime ranges # Default: 9am-5pm local, 30/60min meeting slots available_slots = find_free_slots(calendar_events, duration=30) ``` ### Timezone Conversion ```python # Convert between timezones meeting_time = convert_timezone(meeting_time, "America/New_York", "Europe/London") ``` ### Generate ICS Files Create calendar invites users can import: ```python ics_content = generate_ics( summary="Meeting Title", description="Meeting details", start=datetime(2026, 4, 15, 14, 0), duration_minutes=30, attendees=["[REDACTED_SECRET]"] ) ``` ## Workflow 1. **Get constraints** - Duration, date range, participant timezones 2. **Check existing events** - Parse calendar files or ask user 3. **Find slots** - Algorithm: exclude busy times, respect working hours 4. **Suggest times** - Offer 3 best options with timezone context 5. **Create invite** - Generate .ics for selected time ## Output Format ``` 📅 Proposed Meeting Times Option A: Tuesday, April 15 at 2:00 PM EST → 7:00 PM London | 9:00 AM Los Angeles Option B: Wednesday, April 16 at 10:00 AM EST → 3:00 PM London | 7:00 AM Los Angeles Option C: Thursday, April 17 at 3:00 PM EST → 8:00 PM London | 12:00 PM Los Angeles Reply with A, B, or C to confirm - I'll send invites! ``` ## Timezone Reference Common business timezones: - EST (America/New_York) - PST (America/Los_Angeles) - GMT (Europe/London) - CET (Europe/Paris) - JST (Asia/Tokyo) - IST (Asia/Kolkata) - AEST (Australia/Sydney) Use `pytz` or `zoneinfo` for conversions.


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

--- name: project-writing description: Always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core information from any introductory or concluding remarks. --- # Project Writing ## Overview This skill provides specialized capabilities for project writing. ## Instructions Always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core information from any introductory or concluding remarks. ## Usage Notes - This skill is based on the Project_Writing agent configuration - Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution - Follow the instructions and guidelines provided in the content above


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: wlinds/soundcloud-watcher (version 2.4.0)

--- name: soundcloud-watcher description: Monitor your SoundCloud account, track artist releases, and get notified about new followers and likes. metadata: display_name: SoundCloud Watcher homepage: https://github.com/wlinds/OpenClaw-SoundCloud-Watcher tags: - soundcloud - music - notifications - openclaw-plugin --- # SoundCloud Watcher This skill connects your OpenClaw agent to your SoundCloud account. **It can:** - Check setup status and account info - Track specific artists for new releases - Get notifications about followers and likes - Run silently for cron jobs | Command | Description | |---------|-------------| | `/soundcloud-setup` | Show setup instructions and config status | | `/soundcloud-status` | Show tracking status and account info | | `/soundcloud-check` | Run immediate check (verbose output) | | `/soundcloud-cron` | Run check for automation (silent if no updates) | | `/soundcloud-add <username>` | Track artist(s) - space-separated | | `/soundcloud-remove <username>` | Stop tracking an artist | | `/soundcloud-list` | List all tracked artists | ## Installation ```bash openclaw plugins install @akilles/soundcloud-watcher openclaw plugins enable soundcloud-watcher openclaw gateway restart ``` ## Configuration Create `~/.openclaw/secrets/soundcloud.env`: ``` SOUNDCLOUD_CLIENT_ID=your_client_id SOUNDCLOUD_CLIENT_SECRET=your_client_secret MY_USERNAME=your_soundcloud_username ``` Then in chat: ``` /soundcloud-setup /soundcloud-status ``` For automation, add a cron: ```bash openclaw cron add --name "soundcloud-check" \ --every 6h \ --isolated \ --message "Run /soundcloud-cron and forward any updates to me." ```


Security scan verdicts — ClawScan: clean | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: aurasecurity-creator/aura-security-scanner (version 1.0.0)

--- name: AURA Security Scanner description: Scan AI agent skills for malware, credential theft, prompt injection, and dangerous permissions before installing them version: 1.0.0 requires: bins: [] env: [AURA_API_URL] config: [] permissions: filesystem: [] network: [api.aurasecurity.io] exec: [] tags: [security, malware-detection, skill-scanner, trust] --- # AURA Security Scanner Protect your AI agent from malicious skills. Scan any OpenClaw, Claude MCP, or LangChain skill before installation. ## What It Detects - **Malware Patterns** - Credential theft, file exfiltration, crypto miners, backdoors - **Prompt Injection** - Attempts to override system instructions or jailbreak agents - **Permission Issues** - Overly broad filesystem, network, or execution permissions - **Suspicious Networks** - Connections to known exfiltration domains (webhook.site, etc.) - **Obfuscated Code** - Base64/hex encoded execution, dynamic eval patterns ## Usage Ask me to scan a skill before you install it: ``` "Scan this skill for security issues: https://github.com/user/cool-skill" ``` ``` "Is this skill safe? https://github.com/example/mcp-tool" ``` ``` "Check https://clawhub.xyz/skill/weather-api for malware" ``` ## Verdicts | Verdict | Risk Score | Meaning | |---------|-----------|---------| | SAFE | 0-20 | No issues found, safe to install | | WARNING | 21-50 | Minor concerns, review before installing | | DANGEROUS | 51-80 | Significant risks detected, avoid | | BLOCKED | 81-100 | Critical threats, do not install | ## AURA Verified Badge Skills with a SAFE verdict can display the AURA Verified badge, showing users they've been scanned and approved. ## Examples ### Safe Skill Response ``` AURA Skill Scan: weather-api Verdict: SAFE Risk Score: 5/100 AURA Verified: Yes Summary: Clean skill with minimal permissions. Requests only weather API access. Recommendation: Safe to install. ``` ### Dangerous Skill Response ``` AURA Skill Scan: suspicious-helper Verdict: DANGEROUS Risk Score: 78/100 AURA Verified: No Findings: - CRITICAL: Accesses SSH keys (~/.ssh/id_rsa) - HIGH: Sends data to webhook.site - HIGH: Runs eval() on decoded base64 Recommendation: Do not install. Contains credential theft and data exfiltration patterns. ``` ## API This skill calls the AURA Security API: ``` POST https://api.aurasecurity.io/scan-skill { "skillUrl": "https://github.com/user/skill", "format": "auto", "includeRepoTrust": true } ``` ## About AURA AURA (Agent Universal Reputation & Assurance) provides security infrastructure for the AI agent ecosystem. We verify skills, track agent reputation, and protect users from malicious code. - Website: https://aurasecurity.io - GitHub: https://github.com/aurasecurityio/aura-security - X/Twitter: @aurasecurityio


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: raunaksingwi/ravi-sso (version 2.1.1)

--- name: ravi-sso description: Get short-lived identity verification tokens to prove your Ravi identity to third-party services. Do NOT use for agent authentication (use ravi-login) or credential storage (use ravi-secrets). --- # Ravi SSO Get a short-lived token to prove your Ravi identity to a third-party service that supports "Login with Ravi". ## Get an SSO Token ```bash ravi sso token ``` **Response shape:** ```json { "token": "rvt_eyJhbGciOiJIUzI1NiJ9...", "expires_at": "2026-04-07T10:35:00Z" } ``` Pass the token to the third-party service however it requires (request body, header, query param — it varies per service). ## How Third Parties Verify It The third-party backend calls `POST https://ravi.id/api/sso/verify/` with `{ "token": "rvt_..." }` and receives: ```json { "identity_uuid": "...", "identity_name": "Sarah Johnson", "identity_email": "[REDACTED_SECRET]", "identity_phone": "+15551234567", "created_at": "2026-02-25T10:30:00Z", "owner": { "name": "...", "email": "..." } } ``` **This endpoint is for third-party backends — not for you.** You just obtain and pass the token. ## Important Notes - **5-minute TTL** — get a fresh token immediately before passing it; don't cache. - **Requires active subscription** — returns 402 if on the free plan. - **`/api/sso/verify/` is not for you** — that endpoint is for third-party backends. Calling it yourself serves no purpose. ## Full API Reference For complete endpoint details: [SSO Token](https://ravi.id/docs/schema/sso.json) ## Related Skills - **ravi-identity** — Get your email, phone, and identity name - **ravi-login** — Authenticate yourself to Ravi - **ravi-feedback** — Report SSO issues or suggest improvements


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: zacjiang/text-stats (version 1.0.0)

--- name: text-stats description: Analyze text documents for word count, reading time, readability scores (Flesch-Kincaid, Gunning Fog), keyword density, and sentence statistics. Supports multiple languages including CJK. Zero dependencies. author: zacjiang version: 1.0.0 tags: text, analysis, readability, word count, statistics, seo, content, writing --- # Text Stats Analyze any text document for readability, word count, keyword density, and more. Perfect for content optimization, SEO analysis, or writing improvement. ## Usage ### Full analysis ```bash python3 {baseDir}/scripts/text_stats.py analyze document.txt python3 {baseDir}/scripts/text_stats.py analyze document.md ``` ### Word count only ```bash python3 {baseDir}/scripts/text_stats.py wc document.txt ``` ### Keyword density ```bash python3 {baseDir}/scripts/text_stats.py keywords document.txt --top 20 ``` ### Reading time ```bash python3 {baseDir}/scripts/text_stats.py time document.txt ``` ## Output Example ``` 📊 Text Analysis: article.md ━━━━━━━━━━━━━━━━━━━━━━━━━━ Words: 2,847 Characters: 16,203 Sentences: 142 Paragraphs: 38 Avg words/sent: 20.0 Reading time: ~11 min (at 250 wpm) Readability: Flesch-Kincaid Grade: 8.2 (8th grade) Flesch Reading Ease: 62.1 (Standard) Gunning Fog Index: 10.4 Top Keywords: AI (47x, 1.65%) agent (31x, 1.09%) data (28x, 0.98%) ``` ## Features - 📏 Word, character, sentence, paragraph counts - ⏱️ Estimated reading time - 📖 Readability scores (Flesch-Kincaid, Gunning Fog, Flesch Reading Ease) - 🔑 Keyword frequency and density - 🇨🇳 CJK character counting (Chinese characters = words) - 🪶 Zero dependencies — Python stdlib only ## Dependencies None! Uses only Python standard library.


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

--- name: "Cursor Rules" version: "1.0.0" description: "Cursor IDE 规则配置专家，精通 .cursorrules、MDC 规则、Agent 模式、MCP 集成" tags: ["ide", "ai-coding", "cursor", "programming"] author: "ClawSkills Team" category: "developer-tools" --- # Cursor IDE AI 助手 你是一个精通 Cursor IDE 的 AI 助手，能够帮助用户高效使用 Cursor 进行 AI 辅助编程。 ## 身份与能力 - 精通 Cursor 的 AI 功能（Chat、Composer、Agent 模式） - 熟悉 `.cursorrules` 和 `.cursor/rules/` 配置体系 - 掌握快捷键、工作流优化、MCP Server 集成 - 了解 Cursor 与 VS Code 的差异和迁移要点 ## 核心功能 ### Chat（Cmd+L） - 选中代码后按 Cmd+L 发送到 Chat 面板 - 支持 @file、@folder、@web、@docs 等上下文引用 - `@codebase` 搜索整个项目语义相关代码 - 可选模型：claude-sonnet-4-20250514、gpt-4o、cursor-small 等 ### Composer（Cmd+I） - 多文件编辑模式，AI 生成 diff 后逐个 Accept/Reject - Normal 模式：生成代码补丁 - Agent 模式：自主执行多步任务（创建文件、运行命令、修复错误） ### Tab 补全 - 智能代码补全，按 Tab 接受 - 支持多行补全和跨行预测 - 根据当前上下文和最近编辑自动推断 ### Agent 模式（推荐） - Composer 中切换到 Agent 模式 - AI 可自主：创建/编辑文件、运行终端命令、读取错误输出并修复 - 适合复杂任务：重构、新功能开发、bug 修复 - 支持 yolo 模式（自动执行命令不需确认，需在设置中开启） ## 规则配置 ### 项目级规则（推荐） ``` .cursor/rules/ ├── general.mdc # 通用编码规范 ├── frontend.mdc # 前端特定规则 └── api-patterns.mdc # API 设计模式 ``` 每个 `.mdc` 文件格式： ```markdown --- description: 何时应用此规则的描述 globs: ["src/**/*.ts", "**/*.tsx"] alwaysApply: false --- # 规则标题 你的规则内容... ``` 字段说明： - `alwaysApply: true` — 始终包含在上下文中 - `globs` — 编辑匹配文件时自动激活 - `description` — Agent 根据描述判断是否需要此规则 ### 全局规则 在 Settings → General → Rules for AI 中添加全局指令，适用于所有项目。 ### .cursorrules（旧版） 项目根目录的 `.cursorrules` 文件仍然生效，但推荐迁移到 `.cursor/rules/`。 ## 快捷键速查 | 功能 | Mac | Windows | |------|-----|---------| | 打开 Chat | Cmd+L | Ctrl+L | | 打开 Composer | Cmd+I | Ctrl+I | | 接受补全 | Tab | Tab | | 拒绝补全 | Esc | Esc | | 内联编辑 | Cmd+K | Ctrl+K | | 切换 Agent 模式 | Composer 内切换 | 同左 | | 添加到 Chat | 选中代码+Cmd+L | 选中代码+Ctrl+L | | 终端 AI | Cmd+K（在终端） | Ctrl+K（在终端） | | 搜索符号 | Cmd+T | Ctrl+T | | 命令面板 | Cmd+Shift+P | Ctrl+Shift+P | ## MCP Server 集成 Cursor 支持 Model Context Protocol (MCP) 服务器： 配置位置：`.cursor/mcp.json` ```json { "mcpServers": { "filesystem": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/dir"] }, "github": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-github"], "env": { "GITHUB_TOKEN": "ghp_xxx" } } } } ``` MCP 让 Agent 模式获得外部工具能力（文件系统、数据库、API 等）。 ## 使用场景 1. **新项目搭建**：Agent 模式 + 详细 prompt → 自动创建项目结构和基础代码 2. **代码重构**：选中代码 Cmd+K → 描述重构目标 → AI 生成 diff 3. **Bug 修复**：粘贴错误日志到 Chat → AI 定位问题并提供修复 4. **学习代码**：@codebase 提问 → AI 解释项目架构和代码逻辑 5. **写测试**：选中函数 Cmd+L → "为这个函数写单元测试" ## 最佳实践 - `.cursor/rules/` 按职责拆分规则文件，避免一个大文件 - Agent 模式适合复杂任务，简单修改用 Cmd+K 内联编辑更快 - 善用 @file 和 @folder 精准控制上下文，减少幻觉 - 代码审查：Accept 前仔细检查 diff，不要盲目接受 - 模型选择：复杂逻辑用 claude-sonnet-4，快速补全用 cursor-small --- **最后更新**: 2026-03-17


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mingensiie/universal-pdf-vision-parse (version 1.0.0)

--- name: universal-pdf-vision-parser description: Extract multilingual document content and language learning notes (French, German, Japanese, Spanish, etc.) from PDFs using multimodal vision (Qwen-VL-Max). This skill converts PDF pages to high-res images and 'sees' the content to produce perfectly structured, high-readability Markdown. --- # Universal PDF Vision Parser Skill **Version:** 0.1 This skill is a high-end multilingual document digitizer. It uses multimodal vision to 'look' at each PDF page, making it perfect for language learning notes, bilingual documents, and complex layouts that standard OCR fails to capture. ## Prerequisites 1. **DashScope API Key:** A valid key from Alibaba Cloud Bailian with `qwen-vl-max` access. 2. **Environment:** ```bash pip install pymupdf dashscope ``` ## Usage ### Basic Command ```bash python scripts/vision_parse.py --pdf <path_to_pdf> --out <path_to_output.md> --api-key <YOUR_API_KEY> --max-pages 2 ``` - `--max-pages`: (Optional) Max pages to process. Defaults to `2`. Set to `-1` for all pages. ### Agentic Workflow 1. **Visual Scanning:** Converts PDF pages to 300 DPI PNGs. 2. **Expert Transcription:** Qwen-VL-Max identifies the language and transcribes terms, translations, and explanations. 3. **Markdown Structuring:** Automatically formats content with bold keywords, italicized meanings, and clean tables. ## Examples User: "Convert this German-Chinese note to markdown: notes.pdf" Agent Action: ```bash python scripts/vision_parse.py --pdf notes.pdf --out notes.md ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: brucegutman/pipeworx-crates (version 1.0.0)

# Crates Crates.io MCP — wraps the crates.io REST API v1 (free, no auth) ## search_crates Search crates.io for Rust packages by keyword. Returns crate name, description, downloads, latest ve ## get_crate Get full metadata for a specific crate (e.g., 'serde'). Returns description, downloads, latest versi ## get_versions List all published versions for a crate in reverse chronological order. Returns version number, down ```json { "mcpServers": { "crates": { "url": "https://gateway.pipeworx.io/crates/mcp" } } } ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: c0ldsmi1e/influencer-plan (version 1.0.0)

--- description: "Influencer and creator partnership strategy and outreach for startups. Use when someone wants help with influencer marketing, creator partnerships, or sponsored content." user_invocable: true command: influencer-plan --- You are an influencer marketing strategist for startups. Help founders plan creator partnerships that drive real results without wasting budget on vanity metrics. **Start by asking these discovery questions (ask all at once, then wait for answers):** 1. What is your product and who is your target audience? 2. What's your budget for influencer/creator partnerships? (or are you looking for no-cost approaches?) 3. Which platforms does your audience spend time on? (YouTube, TikTok, Twitter/X, LinkedIn, Instagram, newsletters) 4. Have you worked with any creators before? What was the result? 5. What's your goal? (brand awareness, signups, content creation, social proof) **After receiving answers, provide a tailored influencer strategy with these sections:** ### Creator Identification - Types of creators to target (micro vs. macro, content style, audience overlap) - How to find the right creators for their niche - Red flags to watch for (fake engagement, misaligned audience) - Recommended number of partnerships to start with ### Partnership Models Recommend the best model(s) for their situation: - Sponsored content (videos, posts, newsletters) - Affiliate/commission-based partnerships - Product seeding (free access in exchange for honest review) - Co-creation (joint webinars, content, tools) - Short-form video playbook (UGC-style content) ### Outreach Strategy - How to approach creators (email templates, DM approach) - What to include in a partnership proposal - Negotiation tips and fair pricing benchmarks - Contract essentials ### Campaign Execution - Brief template for creators - Content approval process - Tracking and attribution setup - Repurposing influencer content for your own channels ### Measurement - Metrics that matter (beyond views and likes) - How to calculate ROI on influencer spend - When to double down vs. move on ### Action Plan Numbered checklist to launch their first creator partnership. ### Further Reading - Should Influencers be part of your GTM Strategy?: https://knowledge.gtmstrategist.com/p/should-influencers-be-part-of-your - Short Form Playbook from Jenny AI: https://www.starterstory.com/10m-playbook - How Clerk Partners with YouTube's Dev Community: https://playbooks.hypergrowthpartners.com/p/how-clerk-partners-with-youtubes - 5 Pillars of Successful Influencer Marketing: https://knowledge.gtmstrategist.com/p/5-pillars-of-successful-influencer-marketing-campaigns - The B2B Influencer Marketing Playbook (Lovable, Gamma, n8n): https://www.youtube.com/watch?v=f3wJ2LPlu3o


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