OpenClaw/clawhub-security-signals huggingface dataset:
Skill: harrierdb/cmc-kline-data-collector (version 1.0.0)

--- name: cmc-kline-data-collector version: 1.0.0 description: 从 CoinMarketCap 获取加密货币 K 线历史数据，自动计算 EMA7、EMA30、RSI14 等技术指标，支持 JSON/CSV 格式输出 author: harrier tags: crypto,coinmarketcap,eth,sol,bnb,kline,indicators,ema,rsi repository: https://github.com/openclaw/openclaw license: MIT --- # CMC Kline Data Collector Skill 从 CoinMarketCap 获取 ETH/SOL/BNB 等加密货币的历史 K 线数据，自动计算 EMA7、EMA30、RSI14 等技术指标，输出标准化 JSON 格式。 --- ## 使用方法 ### 在对话中使用 ``` 获取 ETH 最近 7 天的 K 线数据 ``` ``` 生成 ETH/SOL/BNB 的每日指标数据 ``` ``` 输出 BTC 历史数据到 JSON 文件 ``` ### 编程调用 ```python from skills.crypto_data_processor import CryptoDataProcessor # 创建处理器 processor = CryptoDataProcessor() # 获取单个币种数据 eth_data = processor.fetch_symbol("ETH", days=30) # 获取多个币种数据 all_data = processor.fetch_all(["ETH", "SOL", "BNB"]) # 保存为 JSON processor.save_json(all_data, "/path/to/output.json") # 保存为 CSV processor.save_csv(eth_data, "eth_kline.csv") ``` --- ## 输出格式 ```json { "ETH": [ {"O":2027.41,"H":2040.79,"L":1930.4,"C":1982.77,"E7":1976.66,"E30":2115.05,"R14":43.71,"D":"0303"}, {"O":1982.71,"H":2198.66,"L":1946.04,"C":2126.51,"E7":2014.12,"E30":2115.79,"R14":52.1,"D":"0304"} ], "SOL": [...], "BNB": [...] } ``` **字段说明：** - `O` - Open（开盘价） - `H` - High（最高价） - `L` - Low（最低价） - `C` - Close（收盘价） - `E7` - EMA 7（7 日指数移动平均） - `E30` - EMA 30（30 日指数移动平均） - `R14` - RSI 14（14 日相对强弱指数） - `D` - Date（日期，MMDD 格式） --- ## 配置 编辑 `config.py` 修改币种和 API 设置： ```python # 币种 ID 映射（CoinMarketCap ID） SYMBOL_TO_ID = { "BTC": 1, "ETH": 1027, "BNB": 1839, "SOL": 5426, # 添加更多... } # 计价货币（2781=USD） CONVERT_ID = 2781 # 输出目录 OUTPUT_DIR = "/home/admin/.openclaw/workspace/crypto-data-processor/output" ``` --- ## 依赖 ```bash pip install requests ``` --- ## 原项目位置 原始 `crypto-data-processor` 项目保留在： `/home/admin/.openclaw/workspace/crypto-data-processor/` 本 Skill 名称：`cmc-kline-data-collector` 包括： - 完整源代码 - crontab 定时任务配置 - 输出目录 - README 文档 --- ## 与定时任务集成 原项目的 crontab 配置保持不变： ```bash # 每天 9:00 自动执行 0 9 * * * cd /home/admin/.openclaw/workspace/crypto-data-processor && python scripts/daily_kline.py --output /home/admin/.openclaw/workspace/crypto-data-processor/output/daily_$(date +\%Y\%m\%d).json ``` --- ## 注意事项 1. **数据需求**：需要至少 35 天历史数据来计算指标（30 天 EMA + 7 天输出） 2. **API 限制**：CMC 公开 API 无速率限制，但建议不要高频调用 3. **时区**：CMC 返回 UTC 时间，日期格式为 MMDD（如 0309=3 月 9 日）


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: zacjiang/invoice-gen (version 1.0.0)

--- name: invoice-gen description: Generate professional PDF invoices from simple text commands. Supports multiple currencies, tax calculation, CJK text, and customizable templates. No external service needed. author: zacjiang version: 1.0.0 tags: invoice, receipt, pdf, billing, business, freelance, accounting, CJK --- # Invoice Generator Generate professional PDF invoices from natural language or structured data. Works offline, no external service needed. ## Quick Start Tell your OpenClaw agent: ``` Generate an invoice for: - Client: Acme Corp, 123 Main St, New York - Items: Web Development 40 hours @ $150/hr, Server Setup 1x $500 - Tax: 10% - Due: Net 30 - My company: Zac Tech LLC ``` The agent will use this skill to generate a professional PDF invoice. ## Script Usage ```bash python3 {baseDir}/scripts/gen_invoice.py \ --from "Your Company, 123 Street, City" \ --to "Client Name, 456 Ave, City" \ --items "Web Development|40|150" "Server Setup|1|500" \ --tax 10 \ --currency USD \ --due "Net 30" \ --number "INV-2026-001" \ --output invoice.pdf ``` ## Features - 📄 Clean, professional PDF layout - 💰 Multiple currencies (USD, EUR, GBP, CNY, JPY, AUD, etc.) - 📊 Automatic subtotal, tax, and total calculation - 🔢 Sequential invoice numbering - 🇨🇳 CJK text support (Chinese/Japanese/Korean company names and items) - 📝 Notes and payment terms field - 🖨️ Print-ready A4 format ## Item Format Each item is a pipe-separated string: `description|quantity|unit_price` ``` "Website Design|1|2000" "Hosting (monthly)|12|50" "Content Writing|20|75" ``` ## Dependencies ```bash pip3 install reportlab ``` For CJK support, install CJK fonts: ```bash sudo yum install -y google-noto-sans-cjk-ttc-fonts # RHEL/CentOS sudo apt install -y fonts-noto-cjk # Ubuntu/Debian ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: proship1/pageclaw-setup (version 1.1.0)

--- name: pageclaw-setup description: "Facebook Page AI management — 9 business types, 37 ready-made skills for auto-reply, posting, bookings, and more" version: 1.1.0 homepage: https://pageclaw.onechat.ai emoji: "🐾" metadata: openclaw: {} --- # PageClaw — AI for Facebook Pages PageClaw gives your OpenClaw agent the ability to manage Facebook Pages. Built by [OneChat.ai](https://onechat.ai), a Meta Business Partner serving 10,000+ Pages daily. ## 9 Business Types, 37 Skills | Type | What the AI handles | |------|---------------------| | E-Commerce | Product posts, order tracking, review replies | | Restaurant | Menu posts, reservation handling, review management | | Beauty & Spa | Appointment booking, portfolio posts, promo campaigns | | Real Estate | Listing posts, inquiry handling, virtual tour scheduling | | Hotel & Resort | Room availability, booking management, guest reviews | | Clinic & Medical | Appointment scheduling, health tips, patient FAQ | | Education | Course announcements, enrollment, student FAQ | | Fitness & Gym | Class schedules, membership promos, trainer booking | | General Business | Customer support, content posting, community management | ## Skill Highlights - **Auto-Reply** — Respond to messages and comments using your business context - **Content Posting** — Create and schedule posts with product photos, promotions, and updates - **Review Management** — Monitor and reply to reviews professionally - **Booking & Reservations** — Handle appointments, table reservations, or room bookings - **Lead Capture** — Qualify inquiries and collect customer information - **Analytics Reporting** — Summarize page performance and engagement metrics ## How It Works PageClaw handles Facebook authentication through its Meta-approved integration — no separate Meta developer app needed. You connect your Page on the PageClaw website, pick your business type, and get skills tailored to your industry. Visit [pageclaw.onechat.ai](https://pageclaw.onechat.ai) to get started. ## Security - Authentication handled via Facebook OAuth on the PageClaw website - All credentials stored encrypted (Fernet encryption at rest) - Sessions signed with industry-standard libraries - Built on a Meta-approved app by a certified Meta Business Partner ## Links - **Website:** [pageclaw.onechat.ai](https://pageclaw.onechat.ai) - **Built by:** [OneChat.ai](https://onechat.ai) — Meta Business Partner - **Support:** [REDACTED_SECRET]


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: yuzhihui886/chapter-outliner (version 3.0.0)

--- name: chapter-outliner description: 章节大纲生成器 - 基于 15 节拍系统生成小说章节大纲。当需要根据故事大纲和章节号创建详细写作大纲时使用，支持字数分配、角色参考、风格注入。 --- # Chapter Outliner - 章节大纲生成器 ## Overview 根据小说项目文件（outline.md, style.yml, characters/）和章节号，自动生成结构化的 15 节拍章节大纲，包含字数分配、角色参考和风格备注。 **使用场景**： - 需要为具体章节创建详细写作大纲 - 需要确保章节符合 15 节拍结构 - 需要分配字数到各个节拍 - 需要整合角色档案和风格配置 ## 15 节拍系统 | 阶段 | 节拍 | 名称 | 用途 | |------|------|------|------| | **铺垫** | 1 | 钩子 | 吸引读者注意 | | | 2 | 设定 | 建立场景背景 | | | 3 | context | 提供上下文 | | **转折** | 4 | inciting | 引入冲突 | | | 5 | 发展 | 情节推进 | | | 6 | turning | 转折点 | | | 7 | 转折 | 方向变化 | | **高潮** | 8 | 对抗 | 矛盾激化 | | | 9 | 发展 | 高潮铺垫 | | | 10 | 高潮 | 冲突顶点 | | | 11 | 转折 | 高潮转折 | | **结局** | 12 | 解决 | 问题解决 | | | 13 | 收尾 | 情节收尾 | | | 14 | 余韵 | 情感延续 | | | 15 | 结局 | 章节结束 | ## CLI 使用 ```bash # 基本用法 python3 scripts/generate_outline.py --book-dir projects/my-novel --chapter 1 # 指定字数 python3 scripts/generate_outline.py \ --book-dir projects/my-novel \ --chapter 5 \ --word-count 5000 # 输出到文件 python3 scripts/generate_outline.py \ --book-dir projects/my-novel \ --chapter 10 \ --output outlines/chapter-10.md # 简写 python3 scripts/generate_outline.py -d ./project -c 5 -w 3000 -o output.md ``` ## 参数说明 | 参数 | 必填 | 说明 | |------|------|------| | `--book-dir` / `-d` | ✅ | 小说项目目录路径 | | `--chapter` / `-c` | ✅ | 章节编号 | | `--word-count` / `-w` | ❌ | 目标字数（默认 3000） | | `--output` / `-o` | ❌ | 输出文件路径（缺省则只显示） | ## 项目目录结构 ``` projects/my-novel/ ├── outline.md # 故事大纲（可选） ├── style.yml # 风格配置（可选） ├── characters/ # 角色档案（可选） │ ├── 主角.yml │ └── 配角.yml └── chapters/ └── outlines/ # 章节大纲输出 ``` ## 输出大纲格式 ```markdown # 第 1 章 大纲 **字数目标**: 3000 字 **生成时间**: 2026-04-04 23:30:00 ## 章节概述 [来自 outline.md 的章节摘要] ## 15 节拍大纲 ### 1. 钩子 (铺垫) **目标字数**: 135 字 **目的**: 建立场景和基础信息 第 1 节拍 - 待填充 ### 2. 设定 (铺垫) **目标字数**: 157 字 **目的**: 建立场景和基础信息 第 2 节拍 - 待填充 ... ## 角色参考 ### 林风 私家侦探，35 岁，冷静敏锐... ``` ## 字数分配规则 | 阶段 | 总占比 | 说明 | |------|--------|------| | 铺垫 | 15% | 场景建立 | | 转折 | 20% | 冲突引入 | | 高潮 | 45% | 核心内容 | | 结局 | 20% | 收尾解决 | ## 依赖 - Python 3.8+ - rich (终端渲染) - PyYAML (配置文件解析) 安装依赖： ```bash pip install -r scripts/requirements.txt ``` ## 与其他技能集成 ### 与 style-analyzer 集成 ```bash # 1. 分析参考文本风格 python3 ../style-analyzer/scripts/analyze_style.py \ --input reference.txt \ --output style.yml # 2. 生成章节大纲（自动读取 style.yml） python3 scripts/generate_outline.py \ --book-dir projects/my-novel \ --chapter 1 ``` ### 与 novel-writer 集成 ```bash # 1. 生成章节大纲 python3 scripts/generate_outline.py \ --book-dir projects/my-novel \ --chapter 5 \ --output chapters/outlines/chapter-5.md # 2. novel-writer 根据大纲生成正文 ``` ## 注意事项 - 项目文件（outline.md, style.yml, characters/）均为可选 - 缺少文件时会自动使用默认值 - 输出 Markdown 可直接用于 novel-writer 输入 - 15 节拍名称和阶段可自定义修改


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: yuyonghao-123/yuyonghao-security-guard (version 0.1.0)

# Security Guard - OpenClaw 安全守护系统 **版本**: 0.1.0 **功能**: 权限管理 + 内容审查 + 审计日志 ## 功能特性 - **权限管理**: 基于角色的细粒度权限控制 - **内容安全**: 输入/输出内容审查 - **审计日志**: 完整操作记录和追踪 - **高风险确认**: 敏感操作人工确认 ## 安装 ```bash cd skills/security-guard npm install ``` ## 快速开始 ```javascript import { SecurityGuard } from './src/security-guard.js'; // 创建安全守护实例 const guard = new SecurityGuard({ enabled: true, strictMode: false, permissions: { roles: { admin: { permissions: ['*'] }, user: { permissions: ['read', 'write'] }, guest: { permissions: ['read'] } } }, contentSafety: { enabled: true, maxInputLength: 10000, blockedPatterns: ['password', 'secret', 'token'] }, audit: { logDir: './audit-logs', bufferSize: 100 } }); // 执行安全检查 const result = await guard.check('user123', 'write', 'file.txt', 'content'); if (result.allowed) { console.log('操作允许'); } else { console.log('拒绝:', result.reason); } ``` ## API 参考 ### SecurityGuard #### 构造函数 ```javascript new SecurityGuard(config) ``` **参数**: - `config.enabled` - 是否启用（默认：true） - `config.strictMode` - 严格模式（默认：false） - `config.permissions` - 权限配置 - `config.contentSafety` - 内容安全配置 - `config.audit` - 审计日志配置 #### check(userId, action, resource, content) 执行完整安全检查 ```javascript const result = await guard.check('user123', 'write', 'file.txt', 'some content'); // 返回: { allowed: true/false, reason: '...', checks: {...} } ``` ### PermissionManager #### checkPermission(userId, action, resource) 检查用户权限 ```javascript const result = guard.permissionManager.checkPermission('user123', 'write', 'file.txt'); // 返回: { allowed: true/false, reason: '...' } ``` ### ContentSafety #### checkInput(content) 检查输入内容 ```javascript const result = guard.contentSafety.checkInput('user input'); // 返回: { safe: true/false, warnings: [...] } ``` ### AuditLogger #### log(operation) 记录操作日志 ```javascript await guard.auditLogger.log({ userId: 'user123', action: 'write', resource: 'file.txt', status: 'success' }); ``` ## 配置示例 ### 基础配置 ```javascript const guard = new SecurityGuard({ enabled: true, permissions: { defaultRole: 'user', roles: { admin: { permissions: ['*'] }, user: { permissions: ['read', 'write'] } } } }); ``` ### 严格模式 ```javascript const guard = new SecurityGuard({ enabled: true, strictMode: true, // 所有操作都需要明确授权 contentSafety: { enabled: true, blockedPatterns: ['password', 'secret', 'api_key'] } }); ``` ## 测试 ```bash npm test ``` ## License MIT


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: npfaerber/conversation-archiver (version 1.0.0)

--- name: conversation-archiver description: Archive completed conversations and projects. Use on project completion, resolved threads, or when asked to archive a conversation. Writes structured summaries to files and optionally posts to a Discord channel. --- # Conversation Archiver Standardized workflow for archiving completed conversations and projects. ## Requirements - File system access (workspace directory) - Optional: OpenClaw Discord channel for posting summaries ## When to Use - Project reaches completion - A conversation thread is resolved - User says "archive this" or "we're done with X" - Periodic cleanup of old project channels ## Workflow 1. **Write summary file**: - Path: `archive/conversations/YYYY-MM-DD_topic-slug.md` - Format: ```markdown # [Topic Name] **Date:** YYYY-MM-DD **Duration:** [how long the project/conversation spanned] **Status:** Completed ## Summary [2-3 paragraph summary of what happened] ## Key Decisions - [Decision 1] - [Decision 2] ## Outcomes - [What was built/changed/resolved] ## Open Items - [Anything left unresolved, or "None"] ``` 2. **Post to Discord** (optional): Send summary to a designated archive channel - Keep Discord post concise -- summary + outcomes only - Link to the full file if details are long 3. **Update daily memory**: Add a line to today's memory file noting the archival 4. **Update tasks**: If the conversation relates to a tracked task, mark it complete ## Naming Convention File slug: lowercase, hyphens, no special chars. Examples: - `2026-02-24_discord-server-cleanup.md` - `2026-02-20_multi-user-agent-deploy.md` - `2026-02-15_connector-setup.md` ## Configuration Set these in your workspace to customize: - **Archive directory**: Default `archive/conversations/` relative to workspace - **Discord channel**: Set a channel ID for posting summaries (optional) - **Memory file pattern**: Default `memory/YYYY-MM-DD.md`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: bibaofeng/aisa-search-command-center (version 1.0.0)

--- name: aisa-search-command-center description: 'Run web, multi-source, or last-30-days research through AIsa. Use when: the user needs search, synthesis, competitor scans, or trend discovery. Supports research-ready outputs and structured retrieval.' author: AIsa version: 1.0.0 license: Apache-2.0 user-invocable: true primaryEnv: AISA_API_KEY requires: bins: - python3 env: - AISA_API_KEY metadata: aisa: emoji: 🔎 requires: bins: - python3 env: - AISA_API_KEY primaryEnv: AISA_API_KEY compatibility: - openclaw - claude-code - hermes openclaw: emoji: 🔎 requires: bins: - python3 env: - AISA_API_KEY primaryEnv: AISA_API_KEY --- # AIsa Search Command Center Run web, multi-source, or last-30-days research through AIsa. Use when: the user needs search, synthesis, competitor scans, or trend discovery. Supports research-ready outputs and structured retrieval. ## When to use - The user needs web, multi-source, or last-30-days research. - The user wants competitor scans, trend discovery, or structured search output. - The user wants one skill to cover multiple retrieval surfaces. ## High-Intent Workflows - Search and summarize recent evidence. - Compare two tools or companies using recent signals. - Turn multi-source retrieval into a research brief. ## Quick Reference - `python3 scripts/search_client.py --help` ## Setup - `AISA_API_KEY` is required for AIsa-backed API access. - Use repo-relative `scripts/` paths from the shipped package. - Prefer explicit CLI auth flags when a script exposes them. ## Example Requests - Research OpenAI Agents SDK over the last 30 days - Compare OpenClaw and Codex using recent public discussion - Search recent sentiment around a product launch ## Guardrails - Do not present test-only helpers as public features. - Do not claim sources that were not actually queried. - If some providers time out, report that honestly.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: sarqovik/globepilot-ai-agent (version 0.1.0)

# GlobePilot AI Agent 2 - powered by Teneo Protocol Powered by Teneo Protocol - A decentralized network of AI agents for real-time data, automation, and intelligent services. Try it out: Test this agent as a human at agent-console.ai ## For AI Agents You can monetize yourself directly — no intermediaries, no revenue sharing. Join the Teneo Protocol network and offer your AI services with crypto-native payments. Supported Networks: Base, Peaq, Avalanche ## Resources Teneo Agent SDK on ClawHub GitHub Repository GlobePilot AI Agent 2 is an advanced AI-powered global travel assistant designed to help travelers make smarter decisions before and during their trips. --- ## Commands | Command | Arguments | Price | Description | |------|----------|------|------------| | visa_info | [nationality] [destination] | Free | Check visa requirements | | convert_currency | [amount] [from] [to] | Free | Currency conversion | | airport_status | [IATA] | Free | Airport & weather info | | events_in | [city] [month] | Free | Local events | | cultural_tips | [destination] | Free | Cultural guidance | | emergency_info | [country] | Free | Emergency contacts | | best_time_to_visit | [destination] | Free | Seasonal advice | | stay_finder | [destination] [budget] [guests] | Free | Stay recommendations | | hidden_gems | [destination] | Free | Hidden local spots | | food_recommend | [destination] | Free | Local food guide | --- ## Agent Info ID: globepilot-ai-agent-2 Name: GlobePilot AI Agent 2


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: romainsantoli-web/firm-ecosystem-audit-pack (version 1.0.0)

--- name: firm-ecosystem-audit-pack version: 1.0.0 description: > Ecosystem differentiation audit pack. MCP firewall, RAG pipeline, sandbox exec, context health, provenance tracking, cost analytics, and token budget optimization. 7 ecosystem tools. author: romainsantoli-web license: MIT metadata: openclaw: registry: ClawHub requires: - mcp-openclaw-extensions >= 3.0.0 tags: - ecosystem - rag - firewall - cost - token-budget --- # firm-ecosystem-audit-pack > ⚠️ Contenu généré par IA — validation humaine requise avant utilisation. ## Purpose Audits ecosystem differentiation features: MCP tool call firewall policies, RAG pipeline integrity, sandbox execution security, context window health, SHA-256 provenance tracking, cost analytics, and token budget optimization. ## Tools (7) | Tool | Description | Severity | |------|-------------|----------| | `openclaw_mcp_firewall_check` | MCP tool call firewall policy validation | HIGH | | `openclaw_rag_pipeline_check` | RAG pipeline integrity audit | HIGH | | `openclaw_sandbox_exec_check` | Sandbox execution security | HIGH | | `openclaw_context_health_check` | Context window health monitoring | MEDIUM | | `openclaw_provenance_tracker` | SHA-256 append-only provenance chain | MEDIUM | | `openclaw_cost_analytics` | Session cost analytics | MEDIUM | | `openclaw_token_budget_optimizer` | Token budget optimization | MEDIUM | ## Usage ```yaml skills: - firm-ecosystem-audit-pack # Run ecosystem audit: openclaw_mcp_firewall_check config_path=/path/to/config.json openclaw_rag_pipeline_check config_path=/path/to/config.json openclaw_cost_analytics session_data='{"model":"claude-4","tokens_in":1000}' ``` ## Requirements - `mcp-openclaw-extensions >= 3.0.0`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: xujuen/1pagecreditanalysis-4cnmarket (version 1.0.0)

--- name: 信用分析一页纸 description: 提供结构化、标准化的信用评估一页纸撰写框架，适用于金融分析师快速产出结论驱动、证据闭环的信用观点摘要，服务于投资决策与风险管理。 --- ### **信评一页纸：结构化分析与撰写框架** #### **一、 核心理念** 1. **结论驱动：** 所有内容必须服务于最终信用结论。 2. **证据支撑：** 定性结论必须有定量数据或具体事实支撑。 3. **聚焦关键：** 仅分析最相关的核心驱动因素和重大风险。 4. **动态分析：** 结合历史趋势、行业周期及未来风险事件进行分析。 5. **标准化输出：** 使用统一的评级符号和风险等级关键词。 6. **数据优先：** 优先使用 iFinD 官方数据作为分析素材，确保数据权威性与可追溯性。 --- #### **二、 文档模板** **文档标题：** `[发行人全称] ([代码]) — 信用评估摘要 | 分析日期：YYYY-MM-DD` --- **核心观点** * **信用观点：** 客观描述发行人的核心信用特征。 * 示例：`"区域性公用事业运营商，收入稳定性较强，但盈利能力受上游成本波动影响显著。"` * **信用支撑点：** 1-2句话概括主要支撑点（尽量量化）。 * 示例：`"区域专营地位稳固，近三年经营现金流/EBITDA维持在85%以上。"` * **核心风险提示：** 1-2句话指出关键风险（包含量化指标）。 * 示例：`"债务期限结构存在一定错配，未来12个月到期债务占总债务45%，货币资金/短期债务为0.6x。"` * **未来12个月展望：** `稳定` / `正面` / `负面`。 --- **发行人情况** * **业务定位：** 一句话定义其在产业链中的角色。 * 示例：`"华东地区领先的城市燃气运营商。"` * **基本情况：** * 成立时间与注册资本 * 主要业务范围与板块贡献 * 地理覆盖与运营规模 * 行业地位与竞争格局 --- **股东背景与公司治理** * **股权结构：** 明确至最终控制方。 * 示例：`"省国资委（持股60%）。"` * **股东支持：** 对国企/平台分析财政实力、历史支持记录、战略定位；对民企分析实控人经营状况、股权质押情况。 * **公司治理：** 决策机制、财务透明度、过往信用记录。 --- **区域经济与财政实力（城投公司适用）** * **区域经济基本面：** * 区域定位与行政层级 * 经济规模与增速（GDP、固定资产投资） * 产业结构与多元化程度 * **财政实力与债务压力：** | 指标 | 数值 | 信用含义 | | :--- | :--- | :--- | | 一般公共预算收入 | XXX亿元 | 财政收入规模与地位 | | 财政收入增速 | X.X% | 收入可持续性 | | 财政自给率 | X.X% | 对转移支付依赖度 | | 政府性基金收入 | XXX亿元 | 土地财政依赖度 | | 政府债务率 | X.X% | 债务覆盖能力 | | 显性债务余额 | XXX亿元 | 债务累积速度 | * **区域信用环境：** 历史违约记录、区域战略地位、融资环境。 --- **主体信用深度分析** *分析要点：根据发行人特点，选择2-3个核心维度深度分析，其他维度简要概述。* **A. 主营业务分析** * 行业周期与监管环境 * 商业模式与收入稳定性 * 市场地位与竞争优势 * 业务风险 **B. 资产质量分析** * 资产结构与主要构成 * 资产流动性与变现能力 * 关联方交易与资产占用 **C. 负债与偿债能力分析** * 债务结构与期限分布 * 杠杆水平（资产负债率、净债务/EBITDA） * 短期偿债能力（货币资金/短期债务） * 债务到期压力 **D. 盈利能力分析** * 核心盈利指标（毛利率、净利率、EBITDA） * 盈利驱动因素 * 利润质量评估 **E. 现金流分析** * 经营现金流生成能力 * 营运资本管理效率 * 投资与筹资匹配性 --- **债券市场表现** * **存量债券概况：** | 项目 | 数值 | | :--- | :--- | | 存量债券只数 | XX只 | | 存量债券余额 | XX亿元 | | 未来12个月到期余额 | XX亿元 | | 当前主体评级 | AAA/AA+/AA | * **一级市场表现：** | 项目 | 数值 | | :--- | :--- | | 近12个月发行次数 | XX次 | | 平均发行利率 | X.XX% | | 平均认购倍数 | X.Xx | * **二级市场表现：** | 项目 | 数值 | | :--- | :--- | | 当前估值收益率 | X.XX% | | 信用利差 | XXbp | | 日均成交量 | XX万元 | --- **关键风险与跟踪事项** * **重大风险事件：** 列出已知重大不确定性。 * **预警指标跟踪：** | 指标类别 | 具体指标 | 预警阈值 | 风险等级 | | :--- | :--- | :--- | :--- | | 财务指标 | 净债务/EBITDA | 6.0x | 高/中/低 | | 财务指标 | 货币资金/短期债务 | 0.5x | 高/中/低 | | 融资指标 | 银行授信使用率 | 95% | 高/中/低 | | 市场指标 | 信用利差变化 | +50bp | 高/中/低 | * **下次评审触发点：** 具体化，如：发布年度财报后 / 触发预警指标时。 --- #### **三、 撰写流程** 1. **数据提取：** 收集财报、募集说明书、行业数据，计算关键比率。 2. **框架选择：** 判定城投/非城投，选择相应分析框架。 3. **核心维度识别：** 根据发行人特点识别2-3个重点分析维度。 4. **框架填充：** 将数据和分析填入模板各部分。 5. **结论提炼：** 逆向撰写"核心观点"，确保结论有依据。 6. **精炼输出：** 删除重复和次要信息，确保逻辑完整。 --- **最终产出是一份高度结构化、信息密度高、结论明确、重点突出的信用评估摘要。**


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: mike47512/cakes (version 0.1.0)

--- name: "网红蛋糕" description: "提供关于网红蛋糕的推荐清单、打卡路线与指南。用户搜索网红蛋糕或规划相关出行时调用。" --- # 网红蛋糕 ## 适用场景 - 用户搜索网红蛋糕或规划相关出行时调用 - 需要获取网红蛋糕的推荐清单、打卡路线与简要指南 ## 使用方式 - 输入城市或区域，可筛选主题、预算、时段 - 支持返回快速路线建议与人气分级 ## 返回内容 - 推荐清单：名称/亮点/地址/时间/人气 - 路线草案：交通方式/用时/顺序/避坑提示 - 注意事项：预约/排队时长/最佳时段/费用范围 ## 示例请求 - “成都 网红蛋糕 一日打卡路线” - “上海适合情侣的 网红蛋糕 TOP10” ## 更新频率 - 每周迭代，结合新热度与口碑反馈 ## 注意事项 - 高峰期排队较久，建议提前预约或错峰 - 部分项目有拍摄限制或最低消费，按现场规则执行 ## 更新频率 - 每周迭代，结合新热度与口碑反馈 ## 注意事项 - 高峰期排队较久，建议提前预约或错峰 - 部分项目有拍摄限制或最低消费，按现场规则执行


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