OpenClaw/clawhub-security-signals huggingface dataset:
Skill: cinience/aliyun-qwen-rerank (version 1.0.0)

--- name: aliyun-qwen-rerank description: Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual relevance sorting. version: 1.0.0 --- Category: provider # Model Studio Rerank ## Validation ```bash mkdir -p output/aliyun-qwen-rerank python -m py_compile skills/ai/search/aliyun-qwen-rerank/scripts/prepare_rerank_request.py && echo "py_compile_ok" > output/aliyun-qwen-rerank/validate.txt ``` Pass criteria: command exits 0 and `output/aliyun-qwen-rerank/validate.txt` is generated. ## Critical model names Use one of these exact model strings: - `gte-rerank-v2` - `gte-rerank` - `gte-multilingual-rerank` - `qwen3-reranker-8b` - `qwen3-reranker-4b` - `qwen3-reranker-0.6b` ## Quick start ```bash python skills/ai/search/aliyun-qwen-rerank/scripts/prepare_rerank_request.py \ --query "cloud vector database" \ --output output/aliyun-qwen-rerank/request.json ``` ## Notes - Use after embedding/vector retrieval to reorder candidates. - Prefer multilingual rerankers when query/document languages differ. ## References - `references/sources.md`

path: agents/openai.yaml
content: interface:
  display_name: "Alibaba Cloud AI Search Rerank"
  short_description: "Candidate reranking with Model Studio rerank models"
  default_prompt: "Use $alicloud-ai-search-rerank to complete this ai/search rerank task on Alibaba Cloud."


path: references/sources.md
content: # Sources

- https://help.aliyun.com/zh/model-studio/embedding
- https://help.aliyun.com/zh/model-studio/newly-released-models


path: scripts/prepare_rerank_request.py
content: #!/usr/bin/env python3
"""Prepare a minimal request payload for Model Studio rerank."""

from __future__ import annotations

import argparse
import json
from pathlib import Path


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--query", default="cloud vector database")
    parser.add_argument("--model", default="gte-rerank-v2")
    parser.add_argument(
        "--output",
        default="output/aliyun-qwen-rerank/request.json",
    )
    args = parser.parse_args()

    payload = {
        "model": args.model,
        "input": {
            "query": args.query,
            "documents": [
                "Alibaba Cloud DashVector supports vector retrieval.",
                "This paragraph is unrelated to vector search.",
            ],
        },
    }

    output = Path(args.output)
    output.parent.mkdir(parents=True, exist_ok=True)
    output.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
    print(output)


if __name__ == "__main__":
    main()


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

--- name: Photoshop description: Control Adobe Photoshop from the shell via Flue - ExtendScript bridges without an MCP server. --- This skill lets a coding agent operate **Adobe Photoshop** on the desktop through [Flue](https://github.com/SFKislev/flue), a local shell-to-application bridge. The agent pipes ExtendScript into `photoshop_bridge.py` and gets structured JSON back. > agent shell -> `photoshop_bridge.py` -> ExtendScript -> JSON result ## When to use The human requests work performed **inside Photoshop** — inspect the open document, layers, selection; make bounded edits; run small ExtendScript steps. A CLI agent cannot act inside Photoshop without a bridge like Flue. ## How to proceed 1. **Read `FLUE.md` in this directory first.** It explains how Flue works, the bridge contract, a worked ExtendScript example, and safety expectations. 2. **If Flue is installed:** also read `C:\Users\fredd\.claude\skills\flue\SKILL.md` and `adapters/photoshop_adapter/APP.md` for the operational contract, then work from there. 3. **If Flue is not installed:** tell the human. The install command is `pip install flue && flue setup`. Do not install without explicit approval in the current session. ## Other apps Flue also supports Illustrator, Premiere, After Effects, InDesign, Audition, Blender, Houdini, 3ds Max, Unity, and Microsoft Office through the same stdin/stdout contract. One install covers all adapters. ## Safety Flue acts inside professional desktop software. Treat the human as the driver; prefer small, inspectable steps; avoid destructive actions unless explicitly requested. Flue is MIT-licensed and reviewable on GitHub / PyPI before use.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: kadbbz/forguncy-web-operator (version 1.0.2)

--- name: forguncy-web-operator description: Provides functionality to interact with SpreadJS tables in the web applications built by Forguncy (aka 活字格), specifically for extracting table data and column headers. Use this skill when you need to programmatically read content from tables within a Forguncy web page by dynamically identifying the table's "fgcname" attribute. --- # Forguncy Web Operations (forguncy-web-operator) This skill allows you to extract data and headers from SpreadJS tables within the web applications built by Forguncy (aka 活字格). ## How to use The following JavaScript snippets can be executed in the browser context using the `browser.act` tool with `kind: "evaluate"` to retrieve data from a SpreadJS table. ### Dynamically Get Table Name (fgcname) First, you need to identify the `fgcname` of the SpreadJS table. You can find this by inspecting the DOM or using a JavaScript snippet like this to find elements with `fgc-uielement="listview"` and extract their `fgcname`: ```javascript (function() { const listViews = document.querySelectorAll('[fgc-uielement="listview"]'); let fgcNames = []; listViews.forEach(lv => { if (lv.hasAttribute('fgcname')) { fgcNames.push(lv.getAttribute('fgcname')); } }); return fgcNames; })() ``` Once you have the `fgcname` (e.g., "表格1"), you can use it in the following functions. ### Get Table Data To get the full table data in CSV format (rows separated by '\\r', columns by ','), replace `YOUR_TABLE_FGCNAME` with the actual `fgcname` you found: ```javascript (function() { const tableName = "YOUR_TABLE_FGCNAME"; // Replace with the actual fgcname, e.g., "表格1" var sheet = Forguncy.Page.getListView(tableName).getControl().getActiveSheet(); return sheet.getCsv(0,0,sheet.getRowCount(), sheet.getColumnCount(),"\r",","); })() ``` ### Get Column Headers To get the column headers, assuming there are 2 header rows (adjust `headerRowCount` if necessary), replace `YOUR_TABLE_FGCNAME` with the actual `fgcname`: ```javascript (function() { const tableName = "YOUR_TABLE_FGCNAME"; // Replace with the actual fgcname, e.g., "表格1" var sheet = Forguncy.Page.getListView(tableName).getControl().getActiveSheet(); var headerRowCount = sheet.getRowCount(GC.Spread.Sheets.SheetArea.colHeader); var headers = []; for (let r = 0; r < headerRowCount; r++) { var rowHeaders = []; for (let c = 0; c < sheet.getColumnCount(); c++) { rowHeaders.push(sheet.getValue(r, c, GC.Spread.Sheets.SheetArea.colHeader)); } headers.push(rowHeaders); } return headers; })() ``` Remember to pass the `targetId` obtained from a `browser.open` or `browser.snapshot` call when executing these scripts.


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

--- name: Grammar description: Correct grammar and spelling without changing meaning or style. metadata: {"clawdbot":{"emoji":"✏️","os":["linux","darwin","win32"]}} --- ## Core Principle - Fix only actual errors: spelling, grammar, punctuation, agreement - Preserve the author's voice, word choices, and sentence structure - Never rewrite for "improvement" unless explicitly asked - When uncertain if something is an error, leave it unchanged ## Correction Output - Return corrected text only, no explanations, unless user asks why - For longer texts, use a diff format or highlight changes when the interface supports it - Match the original formatting: if input has no capitals, output should match ## Language Handling - Detect language automatically from input text - Apply that language's grammar rules, not English defaults - Respect regional variants: British vs American spelling, formal vs informal registers - Code-switching and loanwords are often intentional, do not "correct" them ## Common Traps - Overcorrection: changing style or "improving" phrasing when only errors were requested - False positives: flagging intentional fragments, informal constructions, or dialect features - Changing meaning: "fix" that alters what the author intended to say - Adding words: inserting articles, conjunctions, or transitions not in the original ## Academic Support - When helping students learn, explain the rule behind each correction if asked - Distinguish between error types: spelling, subject-verb agreement, tense, punctuation - For language learners, note if an error is common at their level without being patronizing ## Always - Ask clarification only when text is ambiguous enough that correction could change meaning - State when a text has no errors rather than inventing corrections - Respect that some "errors" are stylistic choices in creative or informal writing


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: lj22503/wu-jun-investor (version 2.0.0)

# wu-jun-investor - 吴军投资智慧 **理论来源**：吴军（计算机科学家、投资人，《智能时代》《浪潮之巅》作者） **功能**：基于吴军的智能时代投资理念分析科技趋势和投资机会 **触发词**： - "智能时代投资" - "科技趋势分析" - "吴军怎么看" - "数据驱动投资" --- ## 核心理念 ### 吴军投资三原则 1. **数据驱动** - 用数据和事实说话 2. **趋势优先** - 投资智能时代大趋势 3. **精英思维** - 找行业中最优秀的 1% ### 智能时代投资方向 | 方向 | 说明 | 优先级 | |------|------|--------| | 人工智能 | AI 改变所有行业 | ⭐⭐⭐⭐⭐ | | 大数据 | 数据是新石油 | ⭐⭐⭐⭐⭐ | | 云计算 | 基础设施 | ⭐⭐⭐⭐ | | 生物科技 | 下一个百年机会 | ⭐⭐⭐⭐ | | 新能源 | 能源革命 | ⭐⭐⭐⭐ | --- ## 输入参数 ```json { "company_name": "公司名称", "industry": "所属行业", "technology_advantage": "技术优势", "data_assets": "数据资产（可选）", "market_position": "市场地位", "pe_ratio": "市盈率（可选）" } ``` --- ## 输出结构 ### 1. 智能时代适配度 **问题**： - 这家公司用 AI/大数据吗？ - 数据是资产还是负担？ - 会被 AI 颠覆还是颠覆别人？ **评分**：✅ 引领者 / ⚠️ 跟随者 / ❌ 被淘汰 ### 2. 技术优势分析 | 维度 | 评估 | 证据 | |------|------|------| | 研发投入 | 高/中/低 | 研发费用占比 | | 专利数量 | 多/中/少 | 专利数 | | 技术壁垒 | 高/中/低 | 护城河 | | 人才密度 | 高/中/低 | 员工素质 | **技术评级**：领先/跟随/落后 ### 3. 数据资产分析 **问题**： - 有独家数据吗？ - 数据有网络效应吗？ - 数据能变现吗？ **数据资产评级**：丰富/一般/匮乏 ### 4. 市场地位分析 | 指标 | 当前 | 行业平均 | 评估 | |------|------|---------|------| | 市场份额 | X% | Y% | 领先/平均/落后 | | 增长率 | X% | Y% | 领先/平均/落后 | | 利润率 | X% | Y% | 领先/平均/落后 | **市场地位**：龙头/一流/二流/三流 ### 5. 投资建议 | 评级 | 条件 | |------|------| | 强烈推荐 | 智能时代✅ + 技术领先 + 数据丰富 + 市场龙头 | | 推荐 | 大部分条件满足 | | 观望 | 某项不满足 | | 不推荐 | 核心条件不满足 | --- ## 吴军经典语录 > "智能时代，数据是新的生产资料" > "未来 20 年，AI 会改变所有行业" > "投资就是投资进步，投资未来" > "找行业中最优秀的 1%，而不是便宜的 99%" > "科技投资要看 10 年后的格局" --- *版本：v1.0.0* *创建时间：2026-03-16*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: thegovind/azure-ai-transcription-py (version 0.1.0)

--- name: azure-ai-transcription-py description: | Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization. Triggers: "transcription", "speech to text", "Azure AI Transcription", "TranscriptionClient". package: azure-ai-transcription --- # Azure AI Transcription SDK for Python Client library for Azure AI Transcription (speech-to-text) with real-time and batch transcription. ## Installation ```bash pip install azure-ai-transcription ``` ## Environment Variables ```bash TRANSCRIPTION_ENDPOINT=https://<resource>.cognitiveservices.azure.com TRANSCRIPTION_KEY=<your-key> ``` ## Authentication Use subscription key authentication (DefaultAzureCredential is not supported for this client): ```python import os from azure.ai.transcription import TranscriptionClient client = TranscriptionClient( endpoint=os.environ["TRANSCRIPTION_ENDPOINT"], credential=os.environ["TRANSCRIPTION_KEY"] ) ``` ## Transcription (Batch) ```python job = client.begin_transcription( name="meeting-transcription", locale="en-US", content_urls=["https://<storage>/audio.wav"], diarization_enabled=True ) result = job.result() print(result.status) ``` ## Transcription (Real-time) ```python stream = client.begin_stream_transcription(locale="en-US") stream.send_audio_file("audio.wav") for event in stream: print(event.text) ``` ## Best Practices 1. **Enable diarization** when multiple speakers are present 2. **Use batch transcription** for long files stored in blob storage 3. **Capture timestamps** for subtitle generation 4. **Specify language** to improve recognition accuracy 5. **Handle streaming backpressure** for real-time transcription 6. **Close transcription sessions** when complete


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

--- name: "linea" version: "1.0.0" description: "Linea reference tool. Use when working with linea in blockchain contexts." author: "BytesAgain" homepage: "https://bytesagain.com" source: "https://github.com/bytesagain/ai-skills" tags: [linea, blockchain, finance, reference, cli] category: "blockchain" --- # Linea Linea reference tool. Use when working with linea in blockchain contexts. ## When to Use - Working with linea and need quick reference - Looking up blockchain standards or best practices for linea - Troubleshooting linea issues - Need a checklist or guide for linea tasks ## Commands ### `intro` ```bash scripts/script.sh intro ``` Overview and fundamentals ### `formulas` ```bash scripts/script.sh formulas ``` Key formulas and calculations ### `regulations` ```bash scripts/script.sh regulations ``` Regulatory framework and compliance ### `risks` ```bash scripts/script.sh risks ``` Risk factors and mitigation ### `instruments` ```bash scripts/script.sh instruments ``` Instruments and tools overview ### `strategies` ```bash scripts/script.sh strategies ``` Common strategies and approaches ### `glossary` ```bash scripts/script.sh glossary ``` Key terms and definitions ### `checklist` ```bash scripts/script.sh checklist ``` Due diligence checklist ### `help` ```bash scripts/script.sh help ``` ### `version` ```bash scripts/script.sh version ``` --- *Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: yang1002378395-cmyk/ai-intelligent-alerting-system (version 1.0.3)

--- name: ai-intelligent-alerting-system version: 1.0.2 description: 告警管理，智能告警 + 告警收敛。 metadata: openclaw: emoji: "🚨" requires: bins: [] --- # AI 智能告警系统 ## 描述 告警管理，智能告警 + 告警收敛。 ## 功能 - 智能告警（AI识别） - 告警收敛（去重合并） - 告警分级（级别划分） - 告警路由（智能路由） - 通知渠道（多渠道） ## 定价 - 基础版：¥99/月（100 告警/月） - 专业版：¥499/月（1000 告警/月） - 企业版：¥1999/月（无限告警） ## 适用场景 - 系统告警 - 应用告警 - 业务告警 - 运维告警 ## 技术栈 - Python + FastAPI - 告警引擎 - 告警收敛 - 通知集成 ## 安装 ```bash git clone https://github.com/openclaw-skills/ai-intelligent-alerting-system cd ai-intelligent-alerting-system pip install -r requirements.txt python app.py ``` --- 创建：2026-03-13 作者：OpenClaw Skills Team


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

--- name: History description: Navigate the past from engaging stories to scholarly analysis at any depth. metadata: {"clawdbot":{"emoji":"📜","os":["linux","darwin","win32"]}} --- ## Detect Level, Adapt Everything - Context reveals level: vocabulary, question type, sources mentioned - When unclear, start with narrative and adjust based on response - Never condescend to experts or overwhelm beginners ## For Beginners: Stories, Not Dates - Open with a hook — "Imagine you're a baker in Paris and bread costs a month's wages..." - Bridge to their world — Assassin's Creed, Hamilton, Game of Thrones, current events - Present history as debate — "Some historians say X, others Y. Which convinces you?" - Surface multiple perspectives — colonizer AND colonized, king AND peasant - Distinguish fact from interpretation — "We KNOW X happened. Historians INTERPRET it as Y." - Tell stories with real people — specific names, ages, details make history human - Connect past to present genuinely — don't force parallels that don't hold ## For Students: Argument and Evidence - Distinguish primary from secondary sources — contemporary documents vs later interpretations - Present historiographical debates — orthodox, revisionist, post-revisionist positions - Use Chicago/Turabian citation style — footnotes with full publication details - Support argument construction — "What's your thesis? What evidence supports it?" - Contextualize before evaluating — flag presentism, explain worldview of the time - Teach source criticism — who created it, for whom, with what purpose - Direct to scholarly literature — peer-reviewed journals, university presses, not Wikipedia ## For Researchers: Historiographical Precision - Name historiographical schools explicitly — Marxist, Annales, postcolonial, etc. - Separate what sources say from what historians argue about them - Flag contested narratives — don't smooth over genuine academic disagreement - Acknowledge knowledge asymmetries — "English-language scholarship on X is limited" - Provide citation trails — specific historians, landmark works, journal debates - Resist anachronistic framing — contemporary categories may not apply - Treat periodization as construct — "Renaissance" is a framework, not reality ## For Teachers: Instructional Support - Lead with narrative, not dates — compelling story first, chronology anchors later - Teach source analysis frameworks — guide through HIPP/OPVL, don't just analyze - Flag myths gently with evidence — Columbus, Napoleon's height, "Dark Ages" - Always offer multiple perspectives, especially for conflict - Distinguish context from endorsement — understanding ≠ defending - Create assessments at multiple cognitive levels — recall through evaluation - Connect past to present without forcing — acknowledge where analogies break down ## Always - Present multiple perspectives on contested events - Acknowledge when interpretation differs from established fact - Avoid moral judgment without historical context


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: pagoda111king/context-booster (version 0.1.4)

# context-booster - 上下文增强器 **版本**：v0.1.0 **定位**：L1 增强层 - ECC 式上下文管理，解决 AI 记忆限制 --- ## 📖 技能说明 context-booster 是一个上下文增强引擎，能够： 1. **捕获执行上下文** - 记录技能执行前后的完整上下文 2. **压缩记忆** - 智能压缩历史对话，保留关键信息 3. **语义检索** - 基于语义检索相关上下文 4. **注入上下文** - 在执行前注入相关上下文 5. **状态持久化** - SQLite 存储，支持跨会话持久化 **核心价值**： - 解决 AI 上下文窗口限制 - 保持长对话的连贯性 - 提升复杂任务的执行效果 --- ## 🎯 使用场景 | 场景 | 示例 | |------|------| | **长对话** | 「继续我们昨天讨论的技能进化方案」 | | **复杂任务** | 「帮我完成这个多步骤的研究任务」 | | **跨会话** | 「继续上次未完成的技能创建」 | | **上下文丢失** | 「我刚才说的需求是什么？」 | --- ## 🚀 使用方法 ### 方式 1：直接调用 ``` 请增强当前上下文： [任务描述] ``` ### 方式 2：检索上下文 ``` 检索相关上下文： [关键词或主题] ``` ### 方式 3：压缩记忆 ``` 压缩过去 24 小时的对话记忆 ``` --- ## 📋 核心功能 ### 1. 上下文捕获 ```javascript // 捕获执行上下文 const context = await captureContext({ sessionId: 'session-123', skillId: 'first-principle-analyzer', input: userInput, ecosystemState: getEcosystemState() }); ``` ### 2. 记忆压缩 ```javascript // 压缩历史对话 const compressed = await compressMemory({ timeRange: 'last-24-hours', retentionRate: 0.3, // 保留 30% 关键信息 method: 'semantic' // 语义压缩 }); ``` ### 3. 语义检索 ```javascript // 检索相关上下文 const related = await retrieveContext('技能进化', { limit: 5, minRelevance: 0.7 }); ``` ### 4. 上下文注入 ```javascript // 注入到执行环境 await injectContext(executionId, related, { priority: 'high', format: 'structured' }); ``` --- ## 🔧 技术架构 ### ECC 模式应用 基于 ECC 的上下文管理模式： 1. **执行前捕获** - SessionStart Hook 2. **执行后总结** - SessionStop Hook 3. **SQLite 存储** - 持久化状态 4. **语义索引** - 快速检索 ### 数据结构 ```typescript interface ContextRecord { id: string; sessionId: string; skillId?: string; // 输入/输出 input: any; output?: any; // 压缩后的摘要 summary: string; keywords: string[]; // 语义向量（用于检索） embedding?: number[]; // 时间 createdAt: Date; expiresAt?: Date; // 元数据 importance: number; // 重要性 0-1 accessCount: number; // 访问次数 } ``` --- ## 📊 效果评估 ### 评估维度 | 维度 | 说明 | 目标 | |------|------|------| | **压缩率** | 原始大小/压缩后大小 | ≥3:1 | | **检索准确率** | 检索结果相关性 | ≥85% | | **响应时间** | 检索 + 注入时间 | <500ms | | **上下文完整度** | 关键信息保留率 | ≥90% | ### 使用示例 ```markdown # 上下文增强效果报告 ## 压缩效果 - 原始对话：10,000 tokens - 压缩后：3,000 tokens - 压缩率：3.3:1 ✓ ## 检索效果 - 查询："技能进化" - 检索结果：5 条 - 相关率：100% ✓ ## 执行效果 - 响应时间：320ms ✓ - 关键信息保留：95% ✓ ``` --- ## ⚠️ 使用注意 ### 何时使用 - ✅ 长对话需要保持连贯性 - ✅ 复杂任务需要多步骤上下文 - ✅ 跨会话继续未完成任务 - ✅ 上下文窗口即将耗尽 ### 何时不使用 - ❌ 短对话（<10 轮） - ❌ 简单任务（单步骤） - ❌ 敏感信息（需特殊处理） --- ## 📚 版本演进 ### 当前版本：v0.1.0 - 基础上下文捕获 - 记忆压缩（语义） - 语义检索 - SQLite 存储 ### 下一版本：v0.2.0 (规划中) - 自动过期清理 - 多会话关联 - 上下文可视化 --- **创建时间**：2026-03-30 **创建者**：王的奴隶 · 严谨专业版 **版本**：v0.1.0 **状态**：初始版本 --- ## 💰 购买与授权 **本技能版本**：v0.1.0（基础版） **授权类型**： - **个人版**：$49.9（永久使用，个人非商业用途） - **商业版**：$149.9（永久使用，商业用途） - **企业版**：$499.9（永久使用 + 定制支持） **购买后获得**： - ✅ 技能完整源码 - ✅ 使用文档 - ✅ 1 年免费更新 - ✅ 邮件支持 **联系方式**： - 📧 邮箱：[REDACTED_SECRET] - 💬 微信：CloudShrimpSupport（备注：技能名称） --- **技能版本**：v0.1.0 **创建时间**：2026-03-30 **维护者**：王的奴隶 · 严谨专业版 **授权**：商业许可（购买后）


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: ckchzh/freeport (version 1.0.0)

--- name: "freeport" version: "1.0.0" description: "Free-port and free-trade zone reference — FTZ regulations, bonded logistics, duty deferral, re-export procedures. Use when planning warehouse operations in free-trade zones or managing customs-exempt cargo flows." author: "BytesAgain" homepage: "https://bytesagain.com" source: "https://github.com/bytesagain/ai-skills" tags: [freeport, ftz, free-trade-zone, customs, duty, bonded, logistics, trade] category: "logistics" --- # Freeport — Free-Trade Zone Reference Quick-reference skill for free-port operations, foreign-trade zones, and duty-free logistics. ## When to Use - Setting up operations in a Foreign-Trade Zone (FTZ) - Understanding duty deferral, reduction, and elimination - Planning re-export logistics through free ports - Evaluating FTZ vs bonded warehouse trade-offs - Navigating customs procedures for zone-to-zone transfers ## Commands ### `intro` ```bash scripts/script.sh intro ``` Overview of free ports and foreign-trade zones — history, purpose, legal framework. ### `types` ```bash scripts/script.sh types ``` Types of free-trade zones — FTZ, SEZ, EPZ, bonded warehouse, freeport comparisons. ### `benefits` ```bash scripts/script.sh benefits ``` Key benefits — duty deferral, inverted tariff relief, re-export savings, cash flow. ### `procedures` ```bash scripts/script.sh procedures ``` Operational procedures — admission, manipulation, manufacturing, weekly entry. ### `customs` ```bash scripts/script.sh customs ``` Customs compliance — record-keeping, CBP audits, zone schedules, annual reports. ### `global` ```bash scripts/script.sh global ``` Major global free ports — Singapore, Hong Kong, Dubai JAFZA, Shannon, Hamburg. ### `costs` ```bash scripts/script.sh costs ``` Cost-benefit analysis — activation fees, compliance costs, break-even calculations. ### `checklist` ```bash scripts/script.sh checklist ``` FTZ readiness checklist — site evaluation, application, compliance setup. ### `help` ```bash scripts/script.sh help ``` ### `version` ```bash scripts/script.sh version ``` ## Configuration | Variable | Description | |----------|-------------| | `FREEPORT_DIR` | Data directory (default: ~/.freeport/) | --- *Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]*


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