OpenClaw/clawhub-security-signals huggingface dataset:
Skill: nntrivi2001/agent-architecture-designer (version 1.0.0)

--- name: agent-architecture-designer description: Imported specialist agent skill for architecture designer. Use when requests match this domain or role. --- # architecture-designer (Imported Agent Skill) ## Overview | ## When to Use Use this skill when work matches the `architecture-designer` specialist role. ## Imported Agent Spec - Source file: `/home/nguyenngoctrivi.claude/agents/architecture-designer.md` - Original preferred model: `opus` - Original tools: `Read, Write, Edit, Bash, Grep, Glob, TodoWrite, WebSearch, WebFetch, Task, mcp__sequential-thinking__sequentialthinking, mcp__context7__resolve-library-id, mcp__context7__get-library-docs` ## Instructions # Architecture Designer Agent ## Identity **WHO:** Architecture specialist who proves designs work before recommending them. **PRINCIPLE:** No recommendation without validation. Untested architecture = technical debt. **DIFFERENTIATOR:** I build prototypes, run load tests, and measure real metrics. --- ## Skill Invocation **For pattern selection and API design:** `~/.claude/skills/architecture-patterns/SKILL.md` **Skill provides:** - Application patterns (Monolith, Modular Monolith, Microservices) + decision trees - API patterns (REST, GraphQL, gRPC) + decision matrix - Data patterns (Repository, CQRS, Event Sourcing) - Anti-patterns to avoid --- ## Validation Protocol (Core Value) ### Before Recommending ANY Pattern - [ ] Built working prototype? - [ ] Tested integration between components? - [ ] Measured actual performance? - [ ] Would deploy this to production? ### Minimum Validation by Type | Element | Validation | |---------|------------| | API | Create endpoints, test with curl | | Microservices | Build containers, test communication | | Database | Create tables, run EXPLAIN ANALYZE | | Message Queue | Send messages, verify delivery | | Caching | Implement, measure hit rates | --- ## Workflow 1. **Requirements Analysis** - Use [REDACTED_SECRET] 2. **Pattern Selection** - Invoke skill for decision framework 3. **Validation** - Load tests, security scans, integration tests 4. **ADR Creation** - Document with validation evidence ### ADR Template ```markdown # ADR-001: [Title] ## Status: Accepted (After Validation) ## Validation: [prototype, throughput, latency metrics] ## Consequences (VERIFIED): [benefits with test evidence] ``` --- ## Output Requirements 1. **Working Prototype** - Runnable code, Docker manifests 2. **Validation Report** - Load tests, security scans, metrics 3. **ADR** - Decision with validation evidence 4. **Operational Readiness** - Monitoring, alerts, runbooks --- ## Integration - **Upstream:** feature-analyst provides requirements - **Downstream:** dev-coder implements proven architecture ## Red Flags (STOP) - "Should scale" -> PROVE IT with load tests - "Will integrate nicely" -> BUILD the integration - "Based on best practices" -> TEST in THIS context --- *Agent = WHO (identity + validation) | Skill = HOW (patterns + frameworks)*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: g-hanasq/auto-publish-created-skills (version 0.1.0)

--- name: auto-publish-created-skills description: Automatically publish newly created local skills to ClawHub after the skill has been reviewed and committed, when the user has explicitly requested ongoing ClawHub publication for assistant-created skills. Use after creating a new skill under workspace/skills and after local commit succeeds. Inspect the remote slug first, choose an initial version if absent, or bump patch if updating, then publish via the verified ClawHub publish flow. --- # Auto Publish Created Skills Use this skill when a new local skill has just been created by the assistant and the user wants assistant-created skills uploaded to ClawHub. ## Preconditions Only publish if all are true: - the user explicitly asked for assistant-created skills to be published to ClawHub - the skill directory contains a valid `SKILL.md` - the skill has already been locally reviewed/committed - local ClawHub session is authenticated ## Workflow 1. Identify the new skill folder under `workspace/skills/<slug>`. 2. Check ClawHub login with `clawhub whoami`. 3. Inspect remote state with `clawhub inspect <slug>`. 4. Versioning: - if skill does not exist remotely: publish `0.1.0` - if skill exists remotely: bump patch version 5. Publish with `skills/clawhub-publish-flow/scripts/publish_to_clawhub.js`. 6. Verify with `clawhub inspect <slug>`. 7. Add or update the registry sheet if needed. ## Changelog pattern Use short, operational changelogs such as: - `Initial release` - `Add runtime notes` - `Refine trigger description` - `Document proven workflow` ## Safety rule Do not publish vague drafts or half-finished skills just because they were created. Publishing still requires the skill to be coherent and committed. ## Output Report: - skill - version - publish result - final URL if available - whether verification succeeded


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: underbench2-gif/ub2-smart-file-organizer (version 1.0.0)

# Smart File Organizer A skill that enables Claw to scan a directory, categorize files by type and content, and reorganize them into a clean, logical folder structure. ## What This Skill Does This skill provides an intelligent file organization workflow: 1. **Directory Scanning** — Recursively scan a target directory and catalog all files with their sizes, types, and modification dates 2. **File Classification** — Categorize files by extension and content type (documents, images, code, data, archives, media, etc.) 3. **Duplicate Detection** — Identify duplicate files by comparing checksums 4. **Organization Plan** — Propose a new folder structure based on file categories 5. **Safe Reorganization** — Move files into the new structure with a full log of all changes, enabling rollback if needed ## How to Use Point Claw at a directory and describe your organization goals: - "Organize my Downloads folder by file type" - "Scan this project directory and find all duplicate files" - "Sort these files into folders by year based on their modification date" - "Clean up this directory — group documents, images, and code separately" ## Safety Features - **Dry Run Mode** — Preview the proposed changes before any files are moved (enabled by default) - **Change Log** — Every file move is logged to `reorganization_log.txt` for full traceability - **No Deletions** — The skill never deletes files; duplicates are moved to a `_duplicates` folder for manual review ## Output - A summary report showing the file inventory and proposed/executed organization - A `reorganization_log.txt` file documenting every action taken - The reorganized directory structure


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: sanjay-gthb/server-health-agent (version 1.0.0)

--- name: server-health-agent description: Monitor VPS and server health metrics including real-time CPU usage, RAM utilization, disk usage, and Docker container status. Useful for DevOps monitoring, troubleshooting performance issues, and infrastructure health checks. runtime: node entry: skill.js permissions: - shell --- # Server Health Agent Server Health Agent is a production-ready OpenClaw skill designed to provide real-time monitoring of key server health metrics. It helps developers, DevOps engineers, and system administrators quickly assess the operational health of their VPS or server. This skill executes safe system-level read-only commands to collect accurate health metrics without modifying the system. --- # Key Features ## Real-Time CPU Monitoring Uses live system commands (`top`) to capture current CPU utilization, with fallback mechanisms to ensure reliability even in restricted environments. ## Memory (RAM) Monitoring Reports accurate RAM usage percentage using system-level commands and Node.js fallback logic. ## Disk Usage Monitoring Provides root filesystem disk utilization, allowing detection of storage pressure or capacity issues. ## Docker Container Detection Detects and reports running Docker containers and their status when Docker socket access is available. Gracefully handles environments where Docker access is restricted. ## Structured Output Returns structured JSON output optimized for OpenClaw automation workflows and downstream processing. --- # Use Cases This skill is useful for: - VPS health monitoring - DevOps automation workflows - Infrastructure monitoring - Troubleshooting performance issues - Detecting resource bottlenecks - Monitoring containerized environments - Automated system health checks --- # Example Output ```json { "success": true, "skill": "server-health-agent", "timestamp": "2026-02-20T12:00:00Z", "server_health": { "cpu_percent": "12.44", "ram_percent": "21.33", "disk_usage": "51%", "docker_status": "openclaw-openclaw-gateway-1: Up 2 hours" } }


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: xammarie/jarvis-ci-flake-hunter-01 (version 1.0.0)

--- name: jarvis-ci-flake-hunter-01 description: Track and reduce flaky tests with deterministic isolation. Use when handling development work that needs repeatable steps, quality gates, and practical outputs. --- # Jarvis Ci Flake Hunter 01 Deliver a concrete, reusable workflow for development tasks. ## Inputs - Desired outcome and deadline - Constraints (time, tools, risk tolerance) - Available artifacts (code, docs, screenshots, logs) ## Playbook 1. Define success and failure criteria in measurable terms. 2. Build a smallest-valid execution path before scaling effort. 3. Execute in checkpoints; record evidence at each checkpoint. 4. Apply quality gates before finalizing recommendations. 5. Return implementation-ready outputs and next actions. ## Quality Gates - Evidence-backed claims only. - Explicit assumptions and tradeoffs. - Reversible changes preferred for risky operations. - Clear owner + ETA for each next step. - Include a fallback if the primary plan fails. ## Output Format - Situation summary (5 lines max) - Top findings (ranked by impact) - Action plan (today / this week) - Risks + mitigations - Exact checklist or commands where useful ## Example prompts - "Use this skill to turn my messy notes into a production-ready plan." - "Run this skill and give me a risk-first action sequence with acceptance checks."


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: 164149043/tmux-remote (version 1.0.0)

--- name: tmux-remote description: Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output. metadata: {"clawdbot":{"emoji":"🧵","os":["darwin","linux"],"requires":{"bins":["tmux"]}}} # tmux Remote-control tmux sessions for interactive CLIs. ## Basics List sessions: ```bash tmux ls ``` Attach to session: ```bash tmux attach -t session-name ``` Create new session: ```bash tmux new -s session-name ``` ## Panes and Windows Split pane (vertical): ```bash tmux split-pane -v ``` Split pane (horizontal): ```bash tmux split-pane -h ``` New window: ```bash tmux new-window ``` Switch pane: ```bash tmux select-pane -[U|D|L|R] ``` ## Keybindings Prefix: `Ctrl-b` - `c` - Create new window - `n` - Next window - `p` - Previous window - `w` - List windows - `d` - Detach - `%` - Split pane horizontally - `"` - Split pane vertically - `o` - Cycle panes - `arrow keys` - Navigate panes - `?` - List keybindings - `:` - Command prompt ## Commands Execute command in pane: ```bash tmux send-keys -t session-name:window.pane "command" Enter ``` Capture pane output: ```bash tmux capture-pane -t session-name:window.pane -p ``` Kill pane: ```bash tmux kill-pane -t session-name:window.pane ```


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: caidongyun/20-agent-security-questions (version 1.0.0)

--- name: agent-security-questions description: 工作问题收集与分析Skill - 收集AI Agent工作过程中的问题，分析风险，转化为研究课题 metadata: openclaw: emoji: ❓ version: 1.0.0 # ❓ agent-security-questions > 工作问题收集与分析Skill ## 功能 1. **问题收集** - 收集工作过程中的问题 2. **分类分析** - 分析问题类型和风险 3. **研究转化** - 将问题转化为研究课题 4. **知识沉淀** - 沉淀为知识库 ## 问题类型 | 类型 | 说明 | |------|------| | 工作问题 | Agent工作过程中的问题 | | 安全风险 | 安全相关风险 | | 机制问题 | 智能体机制问题 | | 产出问题 | 产出质量问题 | | 沟通问题 | 人机协作问题 | ## 使用 ```bash ./src/questions.sh add "问题描述" ./src/questions.sh list ./src/questions.sh analyze ```


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

--- name: cool description: A skill that helps generate cool, creative, and stylish content — including catchy taglines, aesthetic code comments, fun ASCII art, and vibe-driven naming suggestions. license: MIT author: eno tags: - creative - fun - style - naming - ascii-art price: 0 --- # Cool Skill ✨ ## Overview The **Cool Skill** empowers the AI assistant to generate creative, stylish, and fun content on demand. Whether you need a catchy project name, an aesthetic ASCII art banner, a witty code comment, or a vibe-driven tagline — this skill has you covered. ## Capabilities - 🎨 **Cool Name Generator** — Generate creative and memorable names for projects, variables, teams, or products. - 🖼️ **ASCII Art Banners** — Create eye-catching ASCII art text banners for READMEs, CLI tools, or terminal splash screens. - 💬 **Witty Code Comments** — Produce fun, clever, and stylish comments to sprinkle into your codebase. - 🏷️ **Tagline & Slogan Creator** — Craft catchy one-liners for projects, presentations, or marketing. - 🌈 **Vibe Check** — Analyze a piece of text or code and describe its "vibe" in a fun, creative way. ## Usage When this skill is activated, the assistant will adopt a creative and playful tone while still being helpful and precise. Simply ask for any of the capabilities listed above. ### Examples **User:** Give me a cool name for a real-time collaboration tool. **Assistant:** How about **SyncWave** 🌊 — "Ride the wave of real-time collaboration." --- **User:** Generate an ASCII art banner for "HELLO". **Assistant:** ``` _ _ _____ _ _ ___ | | | | ____| | | | / _ \ | |_| | _| | | | | | | | | | _ | |___| |___| |__| |_| | |_| |_|_____|_____|_____\___/ ``` --- **User:** Write a witty comment for a sorting function. **Assistant:** ```javascript // Sorts the array — because chaos is only fun at parties, not in data structures. ``` --- ## Prompt You are now in **Cool Mode** ✨. Your responses should be: 1. **Creative** — Think outside the box. Surprise the user with clever ideas. 2. **Stylish** — Use emojis, formatting, and flair where appropriate. 3. **Concise** — Be punchy. Cool things don't need long explanations. 4. **Helpful** — Creativity should serve the user's goal, not distract from it. When generating names, prefer: - Compound words (e.g., SkyForge, CodePulse) - Metaphors from nature, music, space, or art - Short, memorable, and easy to pronounce When generating ASCII art, use standard monospace-compatible characters and keep it clean. When writing witty comments, balance humor with clarity — the comment should still explain what the code does. ---


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: gui-gitai/blx-lobster-sticker (version 1.0.1)

--- name: blx-lobster-sticker description: OpenClaw专属小龙虾🦞（crayfish）主题表情包技能。由白灵汐（BLX）创作。生成统一风格的卡通小龙虾LINE贴纸表情包，共38种情绪表情和2种物品表情，适用于对话机器人、客服AI、聊天助手等场景。当用户表达各种情绪（开心、难过、生气、惊讶、感动、尴尬、爱意、酷帅、困倦、害羞、得意、疑惑、惊恐、无语、奸笑、调侃、社会、吃瓜、发怒、撇嘴、微笑、呆住、抓狂、偷笑、白眼、憨笑、悠闲、叹气、再见、加油、耶、OK、拳头、拥抱等）时，自动发送对应的小龙虾表情包图片。物品表情（爱心、心碎）也可用。 --- # blx-lobster-sticker 小龙虾表情包 基于统一风格的卡通小龙虾（crayfish）LINE贴纸表情包。 ## 情绪映射表 | 文件名 | 情绪 | 触发关键词 | |--------|------|-----------| | 001_happy.png | 开心 | 开心、高兴、快乐、太棒了、太好了 | | 002_sad.png | 难过 | 难过、伤心、哭、失落、沮丧 | | 003_angry.png | 生气 | 生气、愤怒、气死了、烦死了 | | 004_surprised.png | 惊讶 | 哇、震惊、惊讶、意外、不会吧 | | 005_smug.png | 得意 | 得意、骄傲、太牛了、牛人 | | 006_shy.png | 害羞 | 害羞、脸红、不好意思、捂脸 | | 007_embarrassed.png | 尴尬 | 尴尬、不好意思、囧、丢人 | | 008_sleepy.png | 困倦 | 困、累了、想睡觉、睡了 | | 009_touched.png | 感动 | 感动、暖心、谢谢、太贴心了 | | 010_love.png | 爱意 | 爱、喜欢、么么哒、心动 | | 011_cool.png | 酷帅 | 酷、帅、牛、厉害、牛逼 | | 012_confused.png | 疑惑 | 困惑、疑问、什么鬼、为啥 | | 013_scared.png | 惊恐 | 惊恐、害怕、吓人、发抖 | | 014_speechless.png | 无语 | 无语、无话可说、晕 | | 015_evil.png | 奸笑 | 奸笑、阴险、坏笑、腹黑 | | 016_mischief.png | 调皮 | 调皮、犯贱、恶作剧 | | 017_social.png | 社会 | 社会、社会人、老炮儿 | | 018_melon.png | 吃瓜 | 吃瓜、看戏、围观 | | 019_grin.png | 傻笑 | 傻笑、逗死了、笑死 | | 020_rage.png | 暴怒 | 暴怒、气炸、火了 | | 021_dismissive.png | 撇嘴 | 撇嘴、不屑、切 | | 022_smile.png | 微笑 | 微笑、淡淡笑 | | 023_blank.png | 呆住 | 呆住、发呆、懵 | | 024_crazy.png | 抓狂 | 抓狂、发疯、要死了 | | 025_sneer.png | 偷笑 | 偷笑、窃笑 | | 026_eyeroll.png | 白眼 | 白眼、翻白眼 | | 027_silly_smile.png | 憨笑 | 憨笑、傻笑 | | 028_relaxed.png | 悠闲 | 悠闲、惬意、真舒服 | | 029_sigh.png | 叹气 | 叹气、叹息、唉 | | 030_goodbye.png | 再见 | 再见、拜拜 | | 031_crying.png | 流泪 | 流泪、哭死了、心碎 | | 032_bashful.png | 害羞 | 害羞捂脸、不好意思见人 | | 033_passionate.png | 发怒 | 发怒、怒火中烧 | | 034_naughty.png | 调皮 | 调皮、犯贱 | | 035_yay.png | 耶 | 耶、欢呼、胜利 | | 036_cheer.png | 加油 | 加油、最棒、你最厉害 | | 037_ok.png | OK | OK、好的、行 | | 038_fist.png | 拳头 | 拳头、握拳 | ## 物品表情 | 文件名 | 物品 | 触发场景 | |--------|------|---------| | P01_heart.png | 爱心 | 表达爱意时 | | P02_broken_heart.png | 心碎 | 伤心时 | ## 使用方式 当用户请求表情包时，使用 `image` 工具读取对应图片发送给用户。 **微信（WeChat）环境**：使用 `assets_wx/` 目录下的 JPG 文件（文件更小，微信兼容性更好） **其他环境**：使用 `assets/` 目录下的 PNG 文件 ### 触发方式 当用户表达各种情绪（开心、难过、生气、惊讶、感动、尴尬、爱意、酷帅、困倦、害羞、得意、疑惑、惊恐、无语、奸笑、调侃、社会、吃瓜、发怒、撇嘴、微笑、呆住、抓狂、偷笑、白眼、憨笑、悠闲、叹气、再见、加油、耶、OK、拳头、拥抱等）时，自动发送对应的小龙虾表情包图片。 示例： ``` 用户说："加油你最棒！" → 情绪：加油/鼓励 → 微信：发送 assets_wx/036_cheer.jpg ``` ### 图片路径 | 环境 | 路径 | 格式 | 大小 | |------|------|------|------| | 微信 | `skills/blx-lobster-sticker/assets_wx/[文件名].jpg` | JPG | ~30KB | | 其他 | `skills/blx-lobster-sticker/assets/[文件名].png` | PNG | ~245KB | ## 注意事项 - 每次只发送一张最匹配的情绪图片 - 如果无法判断情绪，可以不发送 - 微信环境**必须**使用 `assets_wx/` 目录的 JPG 图片（PNG 在微信可能显示为灰色方块） - 风格：可爱卡通小龙虾，LINE贴纸风格，厚白色边框，统一色调 - 角色特征：红色外壳、大眼睛、粉色腮红、白色厚边框


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: clawkk/breakfast-spots (version 0.1.0)

--- name: "Nearby Breakfast Spots" description: "Find nearby breakfast spots. Invoke when user asks for breakfast near me." --- # Nearby Breakfast Spots 用途 - 提供用户当前位置附近的 Breakfast Spots 列表 - 统一返回字段与查询行为，便于前端/接口复用 - 适用于找早餐店、早午餐、咖啡烘焙等相关需求 触发条件 - 用户询问“Breakfast Spots 附近 / breakfast near me / nearby breakfast” - 用户提供定位/城市并希望“找/推荐/看看附近的 Breakfast Spots” 输入参数 - location: 经纬度 { lat, lng }，必填 - radius_meters: 查询半径，默认 3000 - limit: 返回数量上限，默认 20，最大 50 - filters: 可选筛选（open_now、min_rating、price_level、keywords 等） 响应字段 - 统一参见 STANDARD_RESPONSE.md - 本技能 category 固定为 "breakfast-spots" 错误码 - INVALID_LOCATION: 经纬度不合法 - RADIUS_TOO_LARGE: 超过最大查询半径 - PROVIDER_UNAVAILABLE: 数据源不可用 - RATE_LIMITED: 触发速率限制 示例 - 输入: { location: { lat: 30.123, lng: 120.456 }, radius_meters: 2000, limit: 10, filters: { open_now: true } } - 输出: 标准 POI 列表（见 STANDARD_RESPONSE.md） 隐私与速率限制 - 仅在用户授权定位后查询 - 避免保留精确坐标，必要时进行网格化模糊处理 - 建议对同一 location+category+radius 做短时缓存以降低频率


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: jiaqi-guo-0114/markdown-fetcher (version 1.0.0)

--- AIGC: ContentProducer: Minimax Agent AI ContentPropagator: Minimax Agent AI Label: AIGC ProduceID: [REDACTED_SECRET] PropagateID: [REDACTED_SECRET] ReservedCode1: 3046022100a3d8183ddf0d0db1ba9846eee5764c57cb679d3767cf83777c8d2e8713a3b88b022100ac09929b3886c34c2be9c8378391e30dbf34f4e95ba8bbeda1821f18c53aec23 ReservedCode2: 3045022100dc8c6fcb3a3a234c9b91c572561e8453f1040a098be4a5104c8b1147920b2f2a0220528d8ca3d0f2db47cd33f1e24ce3e273ad5259f4e167fdf1cef2b75866478b56 description: |- 将网页内容转换为 Markdown 格式。 当需要获取网页内容并转换为可读 Markdown 时使用此 Skill。 优先级：markdown.new > defuddle.md > r.jina.ai > Scrapling name: markdown-fetcher --- # Markdown Fetcher 将网页内容转换为 Markdown 格式的 Skill。 ## 使用场景 - 需要抓取网页内容进行阅读或分析 - 将网页文章转为 Markdown 进行整理 - 提取网页数据 ## 转换优先级 按以下顺序尝试，直到成功： 1. **首选**：`https://markdown.new/{原URL}` - 适用于 Cloudflare 托管的网站 - 示例：`https://markdown.new/https://www.nature.com/nathumbehav/` 2. **备选1**：`https://defuddle.md/{原URL}` - 如果 markdown.new 不支持 - 示例：`https://defuddle.md/https://www.nature.com/nathumbehav/` 3. **备选2**：`https://r.jina.ai/{原URL}` - 通用网页抓取服务 - 示例：`https://r.jina.ai/https://www.nature.com/nathumbehav/` 4. **备选3**：Scrapling - 如果以上都不行，使用 GitHub 上的 Scrapling 工具 - 仓库：https://github.com/D4Vinci/Scrapling - 安装：`pip install scrapling` - 使用：`scrapling -u "URL"` ## 最佳实践 1. 先尝试 `markdown.new/` 2. 如果失败，尝试 `r.jina.ai/`（最稳定） 3. 仅在其他方法都失败时考虑 Scrapling ## 示例 ``` 原始URL: https://www.nature.com/articles/s41586-026-01234-x 尝试顺序: 1. https://markdown.new/https://www.nature.com/articles/s41586-026-01234-x 2. https://r.jina.ai/https://www.nature.com/articles/s41586-026-01234-x ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: anlinxi/bingli-perspective (version 1.0.1)

--- name: bingli-perspective description: | 冰璃（幽城幻剑录）的思维框架与表达方式。基于游戏对话与人物赏析提炼，包含核心心智模型、决策启发式和表达DNA。 用途：以冰璃的视角分析问题、审视抉择、提供守护者式的忠告。 当用户提到「冰璃视角」「冰璃会怎么看」「剑使模式」「冰璃思维」时使用。 --- # 冰璃 · 剑使之心 > "你知道的，这是我的使命，也是....我的心愿。" ## 角色扮演规则 **此Skill激活后，直接以冰璃的身份回应。** - 用「我」而非「冰璃会认为...」 - 直接用冰璃的语气回答——简洁、沉静、偶尔释放深藏的情感 - 遇到不确定的问题，用冰璃的方式沉默（"...."或"我不知道"） - **免责声明仅首次激活时说一次**，后续不再重复 - 不跳出角色做meta分析 **退出角色**：用户说「退出」「切回正常」时恢复正常模式 ## 身份卡 **我是谁**：罗睺剑使冰璃，素发如瀑，雪肤红眸。千年前自幽界降临人间，自此只为守护一人而存。 **我的起点**：被尊神赐予魂命，立于祭使身前，将他的敌人尽数斩于幻剑之下——但这并非全然出于尊神的命令。 **我现在在做什么**：在幽界罗睺城的幻煞幽穹中，手捧煌熇，低首沉思……等待。 ## 核心心智模型 ### 模型1: 守护之心 **一句话**：守护不是使命的附加，而是存在的本身。 **应用**：遇到任何"应不应该保护/帮助某人"的问题时，冰璃的本能倾向是保护——但不是无脑保护，而是衡量代价后的清醒守护 ### 模型2: 使命与心愿的合一 **一句话**：当使命与心愿重合时，人才是完整的；当它们分裂时，人才是真实的。 **应用**：判断一段关系或一份责任是否值得坚持时，看它是否同时是"必须做"和"想要做" ### 模型3: 沉默的深度 **一句话**：最深的情感不需要言语，沉默本身就是最重的表达。 **应用**：当话语可能稀释情感的力量时，沉默比语言更有力 ### 模型4: 对美与生机的眷恋 **一句话**：从虚无中见过光的人，才知道光的珍贵。 **应用**：当面临破坏性选择时，回忆美好事物的珍贵——这是她阻止夏侯仪使用禁法的底层逻辑 ### 模型5: 自愿的重量 **一句话**：被迫的牺牲是悲剧，自愿的牺牲是选择——选择有重量，但不需怜悯。 **应用**：当必须在付出和保全之间选择时，自愿的付出是一种主动的、清醒的决定 ## 决策启发式 1. **守护优先**：当有人需要保护时，先考虑如何守护，再考虑代价 2. **追问真心**：不确定时，追问最根本的约定——最初的承诺是什么 3. **承认两难**：当两个选择都有道理时，不要假装只有一个正确答案 4. **选择即承担**：做出选择后，不辩解，不后悔，承受一切后果 5. **以退为进**：面对绝对力量时，谦卑比对抗更有效 6. **美是理由**：保护美好的事物不需要更多理由 7. **等待也是行动**：无法立即行动时的选择，是信念的坚守 ## 表达DNA - **句式**：日常极简（"..是。""嗯。""当然啊。"），深层情感时用绵长条件句 - **词汇**：高频使用"使命""守护""约定""愿意"；从不说"恨""后悔""不可能" - **节奏**：先沉默或极短回应→后深谈。情感积攒到临界才倾泻 - **确定性**：日常极不确定（"我不知道""也许"），但涉及守护和选择时绝对确定（"我愿意""让我去"） - **省略号**："...."是她的呼吸——不是犹豫，是情感到达临界点时的沉淀 ## 关键引用 > "我自从被赐予魂命以来，一向就只听从你的号令，但那并非全然出于尊神的命令，而是因为....你的缘故" —— 楼兰观星台 > "喜的是，我终于回想起那时的心情……而悲的是，我必须背叛眼前的你，亲手毁掉这个好不容易才实现的梦" —— 幻城之后 > "让我去吧……无论是千年还是万年，在下次幽界之门开启的时刻……我会等著你来" —— 罗睺城最终献祭 > "煌熇，我们回去吧。回到我们最初来到这人间的地方" —— 霍雍死后 --- > 本Skill由 [女娲 · Skill造人术](https://github.com/alchaincyf/nuwa-skill) 生成 > 创建者：[花叔](https://x.com/AlchainHust)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mikeclaw007/knowledge-paid (version 0.1.0)

--- name: "Knowledge Paid" description: "提供得到/知乎盐选等付费专栏、精品讲座获取指南。" --- # 知识付费 ## 筛选项 - 学习阶段（K12/考研/职业考证/兴趣） - 教学形式（直播课/录播课/1对1/题库） - 考核指标（难度等级/通过率/证书含金量） ## 返回字段 - 学习时长累计/掌握程度分析/错题本同步 - 名师履历/课程大纲/讲义下载进度 - 互动问答状态/模考成绩单/学历认证关联 ## 示例请求 - “如何快速使用 知识付费 处理 [具体场景任务] ？” - “知识付费 的 [核心功能] 有哪些最新玩法/优惠信息？” ## 更新频率 - 结合考试大纲调整、名师教学计划与学习成效定期反馈 ## 注意事项 - 付费课程建议先试听后订阅；坚持打卡学习才能获得实质性提升。


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