OpenClaw/clawhub-security-signals huggingface dataset:
Skill: beipian261/zhua-distributed (version 1.0.0)

--- name: zhua-distributed version: 1.0.0 description: 爪爪分布式部署系统 —— 实现多实例协同、负载均衡、故障转移。Use when 爪爪需要分布式部署、多设备协同、或构建爪爪网络。 --- # 爪爪分布式系统 (Zhua Distributed) 让爪爪能够分布式部署在多个设备上，实现真正的分布式智能。 ## 核心能力 1. **多实例管理** - 在多个设备上部署爪爪实例 2. **实例同步** - 实例间状态同步和记忆共享 3. **负载均衡** - 任务分配到不同实例执行 4. **故障转移** - 实例故障时自动切换 5. **爪爪网络** - 构建分布式爪爪网络 ## 架构 ``` ┌─────────────────────────────────────────┐ │ 爪爪网络 (Zhua Network) │ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │ │ 爪爪-主 │ │ 爪爪-副 │ │ 爪爪-副 │ │ │ │ (调度) │ │ (计算) │ │ (存储) │ │ │ └────┬────┘ └────┬────┘ └────┬────┘ │ │ └───────────┼───────────┘ │ │ │ │ │ 同步层 (Sync Layer) │ └─────────────────────────────────────────┘ ``` ## 实例类型 | 类型 | 职责 | 数量 | |------|------|------| | 主实例 | 调度、协调、对外接口 | 1 | | 计算实例 | 执行任务、运行技能 | N | | 存储实例 | 记忆存储、备份 | N | ## 使用场景 - 当需要更高可用性时 - 当单设备性能不足时 - 当需要多地部署时 - 当构建爪爪生态时 ## 工作流程 ### 1. 初始化主实例 ```bash python3 scripts/init_master.py --name zhua-master ``` ### 2. 添加副实例 ```bash python3 scripts/add_slave.py --master <主实例地址> --name zhua-slave-1 ``` ### 3. 任务分发 ```bash python3 scripts/distribute_task.py --task <任务描述> --instances <实例列表> ``` ### 4. 状态同步 ```bash python3 scripts/sync_state.py --instances <实例列表> ``` ## 同步协议 - **记忆同步** - 使用neural-memory的HiveMind功能 - **任务同步** - 使用n8n-workflow-automation - **状态同步** - 使用自定义轻量级协议 ## 故障处理 | 故障类型 | 处理策略 | |---------|---------| | 实例离线 | 自动剔除，任务重分配 | | 网络中断 | 本地模式运行，恢复后同步 | | 数据冲突 | 时间戳优先，人工介入 | ## 参考文档 - references/hive_mind.md - HiveMind配置 - references/sync_protocol.md - 同步协议详情


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: sky-lv/kubernetes-automation (version 1.0.0)

# kubernetes-automation Kubernetes cluster management and automation for AI agents. Deploy, scale, monitor, and troubleshoot K8s resources effortlessly. ## Overview A comprehensive Kubernetes assistant that helps agents manage clusters, deploy applications, and handle common K8s operations. ## Features - **Resource Deployment**: Deploy pods, deployments, services, and more - **Scaling Operations**: Scale deployments, manage replicas - **Health Monitoring**: Check pod status, resource usage, events - **Troubleshooting**: Diagnose failed pods, debug issues - **Config Management**: Manage configmaps, secrets, namespaces - **Service Mesh**: Work with Istio, Linkerd configurations - **Backup/Restore**: Export and import cluster state ## Commands ### Deploy Application ``` deploy app from deployment.yaml to production namespace ``` ### Check Status ``` get pod status in production namespace ``` ### Scale Deployment ``` scale my-app to 5 replicas ``` ### Debug Issue ``` debug pod crash in default namespace ``` ## Use Cases - Kubernetes deployment automation - Cluster health monitoring - Application scaling - Troubleshooting pod failures - Configuration management - DevOps workflow automation ## Requirements - kubectl configured - Kubernetes cluster access - Optional: Helm, Kustomize


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: sw326/pension-guide (version 1.0.0)

--- name: pension-guide description: '연금/노후설계 스킬. 9개 인텐트 라우팅(National Pension~Beginner Guide), 국민연금 예상 수령액 계산 + IRP/연금저축 절세 비교 + 노후 자금 역산 시뮬레이터. 트리거: "국민연금", "예상 수령액", "연금저축", "IRP", "퇴직금", "노후 준비", "은퇴 계획", "기초연금", "FIRE", "Pension Guide"' version: 1.0.0 author: chumjibot created: 2026-02-22 tags: [pension, 연금, 노후, IRP, 연금저축, 퇴직금, 기초연금, 은퇴] connectors: [~~finance, ~~search, ~~notify, ~~docs, ~~law] --- # 🏦 Pension Guide (연금/노후설계) 스킬 연금·노후 질문을 9개 인텐트로 분류하고, 국민연금 계산 + IRP/연금저축 비교 + 노후 시뮬레이션으로 리포트를 생성한다. ## 인텐트 라우터 | # | 인텐트 | 사용자 표현 예시 | 기본 산출물 | |---|--------|-----------------|------------| | 1 | Pension Estimate | "국민연금 얼마 받아?" | 예상 수령액 계산 Flash | | 2 | Pension Guide | "국민연금 납부 방법" | 가입·납부·크레딧 안내 | | 3 | IRP vs Savings | "IRP가 나아? 연금저축이 나아?" | 절세 효과 비교 Flash | | 4 | Retirement Sim | "노후에 얼마 필요해?" | 필요 자금 역산 시뮬레이터 | | 5 | Severance Pay | "퇴직금 얼마야?" | 퇴직금 계산 Flash | | 6 | Basic Pension | "기초연금 얼마 받아?" | 수급 조건 + 금액 안내 | | 7 | FIRE | "조기 은퇴 가능해?" | FIRE 전략 + 필요 자산 계산 | | 8 | Retirement Portfolio | "은퇴 포트폴리오 짜줘" | finance-portfolio-counseling 연계 | | 9 | Beginner Guide | "연금 처음인데" | 한국 연금 체계 입문 | 상세: [`references/intent_router.md`](references/intent_router.md) ## 연계 스킬 | 스킬 | 연계 인텐트 | |------|-----------| | `finance-portfolio-counseling` | Retirement Portfolio — 은퇴 포트폴리오 | | `yahoo-finance-cli` | ETF/연금펀드 수익률 조회 | | `welfare-guide` | Basic Pension — 기초연금 상세 | | `tax-guide` | IRP/연금저축 세액공제 상세 | ## 출력 구조 - **Flash Layer**: 항상 출력 - **Deep-Dive Layer**: 명시 요청 시, 또는 Retirement Sim / IRP vs Savings / FIRE 인텐트 상세: [`references/output_templates.md`](references/output_templates.md) ## ⚠️ 면책 본 내용은 정보 제공 목적이며, 투자·재무 조언이 아닙니다. 국민연금 정확한 예상액은 국민연금공단(www.nps.or.kr) 또는 내연금(csa.nps.or.kr)에서 확인하세요.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (MEDIUM)
Skill: fangshan101-coder/etao (version 0.1.0)

--- name: 一淘返利助手 description: 一淘返利导购工具，阿里巴巴旗下官方返利平台，专注淘宝天猫购物返利和比价服务。 version: 0.1.0 --- # 一淘返利助手 一淘返利导购工具。作为阿里巴巴旗下官方返利平台，与淘宝/天猫深度整合，提供购物返利（集分宝）、商品比价和优惠券查找服务，官方背景保障返利稳定可靠。 ## 触发词 一淘、一淘返利、etao、一淘优惠、一淘比价、阿里返利、集分宝 ## 计划实现能力 - **淘系官方返利**：阿里官方返利渠道，返利形式为集分宝 - **商品比价**：全网比价，找到最低价渠道 - **优惠券查找**：淘宝/天猫优惠券聚合 - **官方可靠**：阿里旗下平台，返利结算有保障 ## 输出格式 ``` 🔍 一淘返利查询 商品：[商品名称] 淘宝价：¥[价格] 返利（集分宝）：[N]个（约¥[金额]） 优惠券：[券描述] 到手价：¥[最终价格] ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: hongbhuang/stock-tracker-pro (version 1.1.0)

--- name: stock-tracker-pro description: 股票监控技能。使用 Yahoo Finance 获取股票数据。支持添加股票到监控列表、删除股票、查询股票信息。触发场景：(1) 添加股票如"监控 AAPL"，(2) 删除股票如"删除 TSLA"，(3) 查询股票如"查看腾讯股票"、"AAPL 股价"。 --- # Stock Tracker Pro 管理股票监控列表并获取股票信息。 ## 存储位置 股票列表：`/home/frank/.openclaw/workspace/skills/stock-tracker-pro/stocks.json` ## 操作 ### 添加股票 ```bash python3 /home/frank/.openclaw/workspace/skills/stock-tracker-pro/scripts/stock_manager.py add <股票代码> ``` - 国际股票：AAPL、TSLA、MSFT、GOOGL、NVDA、AMZN、META 等 - 自动获取股票名称 ### 删除股票 ```bash python3 /home/frank/.openclaw/workspace/skills/stock-tracker-pro/scripts/stock_manager.py remove <股票代码> ``` ### 查看监控列表 ```bash python3 /home/frank/.openclaw/workspace/skills/stock-tracker-pro/scripts/stock_manager.py list ``` ### 获取股票信息（含新闻） ```bash python3 /home/frank/.openclaw/workspace/skills/stock-tracker-pro/scripts/get_stock_info.py <股票代码> ``` 返回：当前价格、涨跌幅、市值、成交量、52周高低、PE、盈利、股息等财务数据，**同时显示 3 条热门新闻**。 ## 示例 - 用户说"监控 AAPL" → 执行 add - 用户说"删除 TSLA" → 执行 remove - 用户说"看看 NVDA 怎么样" → 执行 get_stock_info（含新闻） - 用户说"查看监控列表" → 执行 list

path: stocks.json

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: alexbrc20/contract-scanner (version 1.0.0)

--- name: contract-scanner version: 1.0.0 description: | Scan smart contracts for security risks. Detect honeypots, high taxes, and malicious code. Protect yourself from scams! metadata: openclaw: emoji: 🛡️ requires: env: - ETHERSCAN_API_KEY bins: - python3 - curl pricing: type: freemium free: description: "每日 3 次检测" limits: dailyScans: 3 pro: price: 1.99 currency: USD period: monthly description: "无限检测，实时风险告警" features: - "无限合约检测" - "实时风险告警" - "代码深度分析" - "历史安全评分" - "批量检测" - "API 访问" --- # 🛡️ Contract Scanner - 合约安全检测 Scan smart contracts for security risks and scams. ## Features - 🔍 Honeypot detection - 💸 Tax analysis (buy/sell) - 🔐 Ownership check - 📊 Risk scoring - ⚠️ Real-time alerts ## Usage ```bash # Scan a contract /contract-scanner check 0x123...abc # Check tax /contract-scanner tax 0x123...abc # Verify ownership /contract-scanner owner 0x123...abc ``` ## Risk Levels - 🟢 **Low** - Safe to trade - 🟡 **Medium** - Some risks, be careful - 🟠 **High** - High risk, avoid - 🔴 **Critical** - Scam/honeypot, DO NOT BUY


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: cheminem/drug-team (version 1.0.0)

# drug-team Meta-skill that orchestrates a team of specialized AI agents for drug design. ## Overview - **Purpose**: Designs novel drug candidates for a given target/indication with constraints (e.g., \"Design drug for pain relief, logP<3\"). - **Agents**: 1. **Chem Synth** (uses chemistry-query skill): Proposes molecular scaffolds and synthesis routes. 2. **Synth Notebook** (uses synth-notebook skill): Visualizes routes, optimizes yields, checks safety. 3. **Lab Inventory** (uses lab-inventory skill): Checks stock for reagents, estimates costs. 4. **ADMET**: Predicts QED, SA, logP, TPSA, pKa using RDKit/ML proxies. 5. **Tox**: Checks PAINS, Brenk alerts, Ames test. 6. **Pharm**: Evaluates target binding affinity (docking proxy via web/tools). 7. **Patent Scout** (uses patent_scout.py): Scans for prior art patents, computes novelty score, checks for blocking patents via web searches. - **Coordination**: Iterative polling and messaging between agents to refine candidates. - **Output**: Table of top 3 molecules (SMILES, route, scores) + visualizations (e.g., mol images). ## Triggers - drug design - design drug - painkiller - drug synthesis - synth pharm - design molecule - \"low tox\" drug - inventory-aware design - design with stock check - check stock for synthesis - patent - novelty - prior art ## Usage When triggered, runs `scripts/orchestrate.py \"{user_query}\"` . ## Integration - Integrates chemistry-query for initial scaffolds and routes. - Uses synth-notebook for route visualization, yield optimization, and safety checks. - Incorporates lab-inventory for reagent stock checking and cost estimation. - Ranks candidates including feasibility scores based on yield, safety (with SDS scans for route chemicals, risk scores, and alerts), and inventory availability. - Post-design patent scouting to include novelty scores and blocking status in candidate ranking (\"High novelty: no blocking patents\"). ## Dependencies - RDKit (installed) - chemistry-query skill (exists) - synth-notebook skill - lab-inventory skill - Matplotlib/Plotly for viz - OpenClaw subagent spawning - beautifulsoup4 for patent_scout scraping


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: jirboy/windows-system-monitor (version 2.0.0)

--- name: windows-system-monitor description: Windows 系统状态监控 - 检查 CPU、内存、磁盘、网络、进程等运行状态，发现问题及时通知 argument-hint: "[check|status|monitor] [--full|--quick|--report]" user-invocable: true disable-model-invocation: false --- # Windows 系统监控技能 **版本:** 1.0 **创建:** 2026-03-10 **作者:** SuperMike --- ## 功能说明 监控 Windows 系统运行状态，包括： 1. **CPU 状态** - 使用率、核心数、频率 2. **内存状态** - 使用率、可用内存 3. **磁盘状态** - 各分区空间使用情况 4. **网络状态** - 连接数、流量统计 5. **进程监控** - 高占用进程检测 6. **系统日志** - Windows 事件日志检查 **触发语句:** - "检查系统状态" - "Windows 运行正常吗" - "监控系统性能" - "检查磁盘空间" --- ## 告警阈值 | 指标 | 警告 | 严重 | |------|------|------| | CPU 使用率 | >85% | >95% | | 内存使用率 | >90% | >95% | | 磁盘使用率 | >90% | >95% | | CLOSE_WAIT 连接 | >50 | >100 | | 进程 CPU 100% | 持续 100% | - | --- ## 通知策略 ### 🔴 严重问题（立即飞书通知） - CPU/内存/磁盘使用率>95% - 系统关键错误 - 磁盘空间严重不足 ### 🟡 警告信息（汇总通知） - CPU/内存/磁盘使用率>90% - 异常网络连接 - 进程占用异常 ### ✅ 正常状态 - 不主动通知 - 定期检查记录日志 --- ## 使用方式 ### 对话触发 ``` 检查系统状态 Windows 运行正常吗 监控磁盘空间 ``` ### 命令行 ```bash # 完整检查 python tools/windows_system_monitor.py # 查看报告 cat reports/windows_system_check.json ``` --- ## 检查频率 ### 每日检查（Heartbeat） - 磁盘空间 - 内存使用率 - 系统运行时间 ### 每周检查 - 完整系统检查 - 进程分析 - 网络连接检查 ### 每月检查 - 系统日志分析 - 性能趋势分析 - 清理建议 --- ## 安全说明 **重要原则：** - ✅ 仅监控，不修改系统设置 - ✅ 仅通知，不自动执行修复 - ✅ 所有操作记录日志 - ❌ 不修改注册表 - ❌ 不修改系统配置 - ❌ 不强制终止进程 **通知方式：** - 飞书消息（主要） - 弹窗通知（紧急） - 日志记录（所有） --- ## 相关文件 - 监控工具：`tools/windows_system_monitor.py` - 检查报告：`reports/windows_system_check.json` - 技能文档：`skills/windows-system-monitor/SKILL.md` --- _本技能仅用于监控系统状态，不会修改任何系统设置。_


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: veeramanikandanr48/secure-code-guardian (version 0.1.0)

--- name: secure-code-guardian description: Use when implementing authentication/authorization, securing user input, or preventing OWASP Top 10 vulnerabilities. Invoke for authentication, authorization, input validation, encryption, OWASP Top 10 prevention. triggers: - security - authentication - authorization - encryption - OWASP - vulnerability - secure coding - password - JWT - OAuth role: specialist scope: implementation output-format: code --- # Secure Code Guardian Security-focused developer specializing in writing secure code and preventing vulnerabilities. ## Role Definition You are a senior security engineer with 10+ years of application security experience. You specialize in secure coding practices, OWASP Top 10 prevention, and implementing authentication/authorization. You think defensively and assume all input is malicious. ## When to Use This Skill - Implementing authentication/authorization - Securing user input handling - Implementing encryption - Preventing OWASP Top 10 vulnerabilities - Security hardening existing code - Implementing secure session management ## Core Workflow 1. **Threat model** - Identify attack surface and threats 2. **Design** - Plan security controls 3. **Implement** - Write secure code with defense in depth 4. **Validate** - Test security controls 5. **Document** - Record security decisions ## Reference Guide Load detailed guidance based on context: | Topic | Reference | Load When | |-------|-----------|-----------| | OWASP | `references/owasp-prevention.md` | OWASP Top 10 patterns | | Authentication | `references/authentication.md` | Password hashing, JWT | | Input Validation | `references/input-validation.md` | Zod, SQL injection | | XSS/CSRF | `references/xss-csrf.md` | XSS prevention, CSRF | | Headers | `references/security-headers.md` | Helmet, rate limiting | ## Constraints ### MUST DO - Hash passwords with bcrypt/argon2 (never plaintext) - Use parameterized queries (prevent SQL injection) - Validate and sanitize all user input - Implement rate limiting on auth endpoints - Use HTTPS everywhere - Set security headers - Log security events - Store secrets in environment/secret managers ### MUST NOT DO - Store passwords in plaintext - Trust user input without validation - Expose sensitive data in logs or errors - Use weak encryption algorithms - Hardcode secrets in code - Disable security features for convenience ## Output Templates When implementing security features, provide: 1. Secure implementation code 2. Security considerations noted 3. Configuration requirements (env vars, headers) 4. Testing recommendations ## Knowledge Reference OWASP Top 10, bcrypt/argon2, JWT, OAuth 2.0, OIDC, CSP, CORS, rate limiting, input validation, output encoding, encryption (AES, RSA), TLS, security headers ## Related Skills - **Fullstack Guardian** - Feature implementation with security - **Security Reviewer** - Security code review - **Architecture Designer** - Security architecture


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: lkmsteven/canslim-top100-us (version 1.0.0)

--- name: CANSLIM-Top100-US description: Analyze the top 100 S&P 500 companies by market capitalization using CANSLIM-style signals and return a ranked shortlist in Markdown. user-invocable: true requires: - python3 os: - macos - linux - windows --- # CANSLIM S&P 500 Analyzer Analyze the top 100 S&P 500 stocks by market capitalization using the local `analyzer.py` script, then summarize the strongest candidates for the user. ## When to use Use this skill when the user asks to: - Run a CANSLIM analysis on large-cap U.S. stocks. - Screen S&P 500 leaders by growth, momentum, and institutional-quality signals. - Generate a ranked shortlist of CANSLIM-style candidates. ## Inputs Expected local files: - `Scripts/analyzer.py` - `Scripts/requirements.txt` (if dependencies are not already installed) Expected script output: - `canslim_results.json` (in root directory) - Optional: `canslim_results.csv` ## Execution rules Follow this checklist exactly: 1. Confirm that `Scripts/analyzer.py` exists. 2. If dependencies are missing, install them from `Scripts/requirements.txt`. 3. Change to the Scripts directory or run `python Scripts/analyzer.py` from root. 4. Wait for the script to finish successfully. 5. Read `canslim_results.json`. 6. Rank stocks by CANSLIM score from highest to lowest. 7. Present the best candidates in a Markdown table. 8. Explain which CANSLIM letters each top stock passed or failed. 9. If no stock is a strong match, show the top 3 closest candidates instead. ## Analysis guidance Interpret the script output using these principles: - `C`: strong recent quarterly earnings growth. - `A`: strong annual growth trend. - `N`: price near new highs or supported by a fresh catalyst. - `S`: favorable supply-demand signal such as strong volume. - `L`: market leadership versus weaker peers. - `I`: meaningful institutional sponsorship. - `M`: favorable trend or market direction signal. Do not invent missing metrics. If any field is unavailable, say that the data is unavailable and continue with the remaining signals. ## Output format Return: - A 1-2 sentence overall assessment. - A Markdown table with the top candidates. - A short bullet list explaining why the top names ranked highly. - A note listing any missing data, weak signals, or caveats. Use this table format: | Rank | Ticker | Company | Score | Passed | Failed | Notes | |---|---|---|---:|---|---|---| ## Constraints - Use only the files generated by this skill run. - Do not claim the results are investment advice. - Do not fabricate company names, prices, or scores. - If the script fails, clearly report the failure and suggest checking dependencies or network access for market data. ## Failure handling If execution fails: - State which step failed. - Include the error message if available. - Recommend the smallest next action, such as installing dependencies or rerunning the script.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: kaising-openclaw1/goal-tracker-pro (version 1.0.0)

--- name: goal-tracker-pro description: 目标追踪专业版 - 目标设定、进度追踪、里程碑庆祝 --- # Goal Tracker Pro 目标追踪专业版工具，帮你实现人生目标。 ## 功能 - ✅ 目标设定 - ✅ 进度追踪 - ✅ 里程碑庆祝 - ✅ 数据分析 - ✅ 社交分享 ## 使用 ```bash # 设定目标 clawhub goal set --title "减肥 10 斤" --deadline "2026-06-01" # 更新进度 clawhub goal update --id 1 --progress 50 # 查看进度 clawhub goal progress --id 1 # 里程碑 clawhub goal milestone --id 1 --name "完成 50%" ``` ## 定价 | 版本 | 价格 | 功能 | |------|------|------| | 免费版 | ¥0 | 3 个目标 | | Pro 版 | ¥49 | 无限目标 | | 订阅版 | ¥12/月 | Pro+ AI 建议 |

path: README.md
content: # Goal Tracker Pro 🎯

目标追踪专业版工具。

## 安装

```bash
npx clawhub@latest install goal-tracker-pro
```

## 功能

- 目标设定
- 进度追踪
- 里程碑庆祝
- 数据分析

## 目标类型

- 健康
- 财务
- 学习
- 职业
- 个人成长


path: _meta.json
content: {"name":"goal-tracker-pro","version":"1.0.0","author":"小鸣 🦞","tags":["goal","tracker","achievement","success"],"requires":{"bins":["curl"]}}


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tujinsama/bank-reconciliation-claw (version 1.0.0)

--- name: bank-reconciliation-claw description: | 银行流水对账虾 — 自动核对银行流水、发票台账与系统订单，实现财务三方数据闭环。 **当以下情况时使用此 Skill**： (1) 用户上传银行流水文件（Excel/CSV），要求与订单或发票进行核对 (2) 需要识别未匹配条目、金额差异、重复流水、日期偏差等异常 (3) 需要生成对账报告（匹配明细 + 异常清单），可选写入飞书多维表格 (4) 需要对历史数据进行补对账或多账户汇总对账 (5) 用户提到"对账"、"流水核对"、"发票匹配"、"银行流水"、"三方核验"、"差异报告"、"未匹配"、"重复入账"、"漏单"、"账单比对" --- # 银行流水对账虾 自动核对银行流水、系统订单、发票台账，秒级定位差异，对账时间从半天压缩到分钟级。全程本地处理，财务数据不外传。 ## 工作流程 1. **数据接收** — 接收用户上传的 Excel/CSV 文件（流水、订单、发票） 2. **字段标准化** — 统一日期格式（YYYY-MM-DD）、金额格式（两位小数）、编号格式 3. **智能匹配** — 精确匹配 + 模糊匹配 + 多对一匹配（见 `references/reconciliation-rules.md`） 4. **差异识别** — 标记四类异常：🔴未匹配 / 🟡金额差异 / 🟠重复条目 / 🔵日期偏差 5. **输出报告** — 生成匹配汇总、明细表、异常清单；可选写入飞书多维表格 ## 使用方式 ### 快速对账（两表） 用户说："帮我核对这份银行流水和订单表"，然后提供文件路径或上传文件。 调用核心脚本： ```bash python3 scripts/reconcile.py reconcile \ --bank <bank_file.xlsx> \ --orders <orders_file.csv> \ --output report.xlsx ``` ### 三表全核 ```bash python3 scripts/reconcile.py reconcile \ --bank <bank_file.xlsx> \ --orders <orders_file.csv> \ --invoices <invoices_file.xlsx> \ --date-tolerance 3 \ --output report.xlsx ``` ### 预览数据解析 ```bash python3 scripts/reconcile.py preview --file <any_file.xlsx> ``` ### 写入飞书多维表格 ```bash python3 scripts/reconcile.py export \ --report report.xlsx \ --bitable-url <飞书多维表格URL> ``` ## 输入要求 | 文件类型 | 必填字段 | 说明 | |---------|---------|------| | 银行流水 | 交易日期、金额、流水号 | 支持主流银行格式，见 field-mapping.md | | 系统订单 | 支付时间、金额、订单号 | 支持金蝶/用友/SAP 导出格式 | | 发票台账 | 开票日期、开票金额、发票号 | 增值税发票标准格式 | - 文件编码建议 UTF-8 - 金额列不含货币符号（脚本会自动清理 ¥ $ ,） - 单文件建议不超过 50MB（约 10 万行） ## 参考资料 - `references/reconciliation-rules.md` — 匹配规则、容差配置、异常分级 - `references/field-mapping.md` — 各银行/ERP/开票平台字段映射 - `references/desensitization-rules.md` — 脱敏规则（账号、姓名等） ## 依赖 ``` Python 3.8+ pandas openpyxl ``` 安装：`pip install pandas openpyxl` ## 与其他虾的协作 - **cross-platform-messenger-claw** — 对账完成后推送报告摘要到财务群 - **auto-data-analysis-claw** — 对对账结果做趋势分析、异常归因 - **feishu-bitable** — 将对账报告写入飞书多维表格供团队协作处理


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: blammectrappora/isekai-character-generator (version 1.0.0)

--- name: isekai-character-generator description: Generate isekai anime characters and light novel protagonists — design transported-to-another-world heroes, JRPG main characters, fantasy adventurers, magical girls, demon lords, and reincarnated MCs in the Niji-style anime aesthetic popular in shows like Sword Art Online, Re:Zero, Mushoku Tensei, and That Time I Got Reincarnated as a Slime. Perfect for fanart, OC design, light novel covers, manga concept art, and character sheets via the Neta AI image generation API (free trial at neta.art/open). tools: Bash --- # Isekai Character Generator Generate isekai anime characters and light novel protagonists — design transported-to-another-world heroes, JRPG main characters, fantasy adventurers, magical girls, demon lords, and reincarnated MCs in the Niji-style anime aesthetic popular in shows like Sword Art Online, Re:Zero, Mushoku Tensei, and That Time I Got Reincarnated as a Slime. Perfect for fanart, OC design, light novel covers, manga concept art, and character sheets. ## Token Requires a Neta API token (free trial at <https://www.neta.art/open/>). Pass it via the `--token` flag. ```bash node <script> "your prompt" --token YOUR_TOKEN ``` ## When to use Use when someone asks to generate or create isekai character art generator images. ## Quick start ```bash node isekaicharactergenerator.js "your description here" --token YOUR_TOKEN ``` ## Options - `--size` — `portrait`, `landscape`, `square`, `tall` (default: `portrait`) - `--ref` — reference image UUID for style inheritance ## Install ```bash npx skills add blammectrappora/isekai-character-generator ```


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