OpenClaw/clawhub-security-signals huggingface dataset:
Skill: m4vf14/perplexity-search-skill (version 1.0.0)

--- name: perplexity-search description: Search the web using Perplexity's Search API for ranked, real-time web results with advanced filtering. Use when you need to search for current information, market research, trending topics, or when Brave Search is unavailable. Supports recency filtering (day/week/month/year) and returns structured results with titles, URLs, and snippets. metadata: openclaw: emoji: 🔍 requires: env: - PERPLEXITY_API_KEY primaryEnv: PERPLEXITY_API_KEY --- # Perplexity Search Search the web using Perplexity's Search API for ranked, real-time results. ## Quick Start Basic search: ```bash python3 {baseDir}/scripts/search.py "your search query" ``` With options: ```bash # Get 10 results python3 {baseDir}/scripts/search.py "AI trends 2024" --count 10 # Filter by recency python3 {baseDir}/scripts/search.py "recent AI news" --recency week # Get raw JSON output python3 {baseDir}/scripts/search.py "market research" --json ``` ## API Key Setup The script requires a `PERPLEXITY_API_KEY` environment variable. **Option 1: Set in OpenClaw config** (recommended) Add to `~/.openclaw/openclaw.json`: ```json { "skills": { "perplexity-search": { "env": { "PERPLEXITY_API_KEY": "your-api-key-here" } } } } ``` **Option 2: Environment variable** ```bash export PERPLEXITY_API_KEY="your-api-key-here" ``` Get your API key from: https://perplexity.ai/account/api ## Parameters - `query` - Search query string (required) - `--count N` - Number of results (1-10, default: 5) - `--recency FILTER` - Recency filter: `day`, `week`, `month`, or `year` - `--json` - Output raw JSON instead of formatted results ## Response Format The API returns: ```json { "results": [ { "title": "Article title", "url": "https://example.com/article", "snippet": "Brief excerpt from the page...", "date": "2024-01-15", "last_updated": "2024-02-01" } ], "id": "search-request-id" } ``` ## Use Cases **Market Research:** ```bash python3 {baseDir}/scripts/search.py "golf coaching Instagram trends" --count 10 ``` **Recent News:** ```bash python3 {baseDir}/scripts/search.py "AI regulation updates" --recency week ``` **Competitive Analysis:** ```bash python3 {baseDir}/scripts/search.py "AI golf training apps" --count 10 ``` ## Pricing Perplexity Search API: **$5 per 1,000 requests** Track your usage at: https://perplexity.ai/account/api ## Security - API key loaded from environment only - never hardcoded - Output sanitization prevents terminal injection - Error messages don't expose sensitive information - 30-second timeout prevents hanging requests - Input validation on all parameters ## Notes - Results are ranked by relevance - Includes real-time web data - Supports filtering by recency - Returns structured JSON or formatted text - Rate limits apply based on your Perplexity plan


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: bytesagain3/password (version 3.0.1)

--- name: password version: "3.0.1" author: BytesAgain homepage: https://bytesagain.com source: https://github.com/bytesagain/ai-skills license: MIT-0 tags: [password, tool, utility] description: "Manage passwords with generation, strength checks, and storage. Use when creating credentials, auditing strength, rotating secrets, checking breaches." --- # password Generate, check, and analyze passwords. ## Commands ### `generate` Generate a random password (default: 16 chars) ```bash scripts/script.sh generate ``` ### `strength` Rate password strength (weak/fair/good/strong/excellent) ```bash scripts/script.sh strength ``` ### `entropy` Calculate Shannon entropy in bits ```bash scripts/script.sh entropy ``` ### `batch` Generate multiple passwords at once ```bash scripts/script.sh batch ``` ### `diceware` Generate a diceware-style passphrase ```bash scripts/script.sh diceware ``` ### `pin` Generate a numeric PIN ```bash scripts/script.sh pin ``` ## Requirements - curl --- *Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: benzking/wechat-article-exporter (version 3.3.0)

--- name: wechat-article-exporter description: 微信公众号推文长截图导出工具。支持多种链接格式，自动处理懒加载图片、视频占位符、底部工具栏遮挡等问题。触发词：微信文章导出、公众号截图、推文保存、mp.weixin.qq.com。 author: codebuddy version: "3.1.0" tags: - wechat - 微信 - 公众号 - 推文 - 截图 - mp.weixin.qq.com allowed-tools: Bash, Read, Write --- # 微信公众号推文长截图导出工具 将微信公众号文章导出为长截图，完美保留原文排版。 ## 触发词 - "微信文章导出"、"公众号文章截图"、"推文保存" - "微信截图"、"公众号导出" - 发送包含 `mp.weixin.qq.com` 的链接 ## 执行命令 ```bash python3 /workspace/wechat-article-exporter/scripts/wechat_screenshot.py "<URL>" -o /workspace/output


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)
Skill: jpengcheng523-netizen/jpeng-gcp-storage-manager (version 1.0.0)

--- name: jpeng-gcp-storage-manager description: "Manage Google Cloud Storage" version: "1.0.0" author: "jpeng" tags: ["gcp", "storage", "cloud"] --- # GCP Storage Manager Manage Google Cloud Storage ## When to Use - User needs gcp related functionality - Automating storage tasks - Cloud operations ## Usage ```bash python3 scripts/gcp_storage_manager.py --input <input> --output <output> ``` ## Configuration Set required environment variables: ```bash export STORAGE_API_KEY="your-api-key" ``` ## Output Returns JSON with results: ```json { "success": true, "data": {} } ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: edwardrodriguez703-design/book-landscaper (version 1.0.1)

--- name: book-landscaper description: Book landscaper services through Lokuli MCP. Use when user needs to find and book landscaper. Triggers on requests like "book a landscaper", "find landscaper near me", or any landscaper service request. --- # uook landscaper Book landscaper services through Lokuli's MCP server. ## MCP Endpoint ``` https://lokuli.com/mcp/sse ``` Transport: SSE | JSON-RPC 2.0 | POST requests ## Tools ### search ```json { "method": "tools/call", "params": { "name": "search", "arguments": { "query": "landscaper", "zipCode": "90640", "maxResults": 20 } } } ``` ### check_availability ```json { "method": "tools/call", "params": { "name": "check_availability", "arguments": { "providerId": "xxx", "serviceId": "yyy", "date": "2025-02-10" } } } ``` ### create_booking ```json { "method": "tools/call", "params": { "name": "create_booking", "arguments": { "providerId": "xxx", "serviceId": "yyy", "timeSlot": "2025-02-10T14:00:00-08:00", "customerName": "John Doe", "customerEmail": "[REDACTED_SECRET]", "customerPhone": "+13105551234" } } } ```


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: oceanbase/oceanbase-deploy (version 2.0.1)

--- name: oceanbase-deploy description: Overview skill for OceanBase deployment and operations using obd. Routes to specialized skills for cluster management, tenant management, seekdb, and testing. Use as a starting point when the user's intent is not yet clear, or for general OceanBase obd questions. Also use when users mention OceanBase, obd, or want an overview of available OceanBase operations. compatibility: Requires obd CLI installed on the control machine. metadata: author: oceanbase version: "2.0" --- # OceanBase Deploy & Operations (obd) This is the entry point for OceanBase operations via `obd`. Use the specialized skills below for specific tasks. ## Skill Index | Skill | Use When | |-------|----------| | [cluster-management](cluster-management/SKILL.md) | Deploy, start, stop, upgrade, scale out clusters. OCP CE takeover. Monitoring setup. | | [tenant-management](tenant-management/SKILL.md) | Create/drop tenants, backup, restore, optimize workloads. | | [seekdb](seekdb/SKILL.md) | seekdb install, deploy, HA (switchover/failover/decouple). | | [testing-and-benchmark](testing-and-benchmark/SKILL.md) | Sysbench, TPC-H, TPC-C benchmarks; mysqltest functional tests. | ## Quick Start ```bash obd demo ``` Deploys a local demo cluster with default ports (2881 MySQL, 2882 RPC, 2886 obshell). ## Installation If `obd` is not installed, download from: [https://mirrors.oceanbase.com/community/stable/el/](https://mirrors.oceanbase.com/community/stable/el/) Official quick-start guide: [https://www.oceanbase.com/docs/common-obd-cn-1000000005246289](https://www.oceanbase.com/docs/common-obd-cn-1000000005246289) ## OCP Terminology Convention - "Deploy OCP" always means **OCP CE** (`ocp-ce`), never `ocp-express`. - `ocp-express` has been replaced by `obshell dashboard` (port 2886). Do not deploy it. - See [cluster-management/references/ocp-ce.md](cluster-management/references/ocp-ce.md) for details. ## Critical Safety Rules These destructive commands always require explicit user confirmation: 1. `obd cluster destroy` — Destroys cluster and data 2. `obd cluster redeploy` — Destroys and redeploys, data loss 3. `obd cluster prune-config` — Deletes config files


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)
Skill: stanlee000/norman-expense-report (version 1.0.0)

--- name: expense-report description: Generate a detailed expense breakdown by category for a given period. Use when the user asks for an expense report, spending summary, Ausgabenübersicht, cost analysis, or wants to understand where their money is going. version: 1.0.0 argument-hint: "[period, e.g. January 2026 or Q1 2026 or 2025]" metadata: openclaw: emoji: "\U0001F4B8" homepage: https://norman.finance requires: mcp: - norman-finance --- Generate a comprehensive expense report for the user: ## Step 1: Gather data - Call `search_transactions` for the specified period (default: last month) - Filter for outgoing transactions (expenses only, exclude income) - Call `get_company_balance` for current balance context ## Step 2: Categorize and group Group expenses by bookkeeping category. For each category show: - Category name - Total amount (EUR) - Number of transactions - Percentage of total expenses Present as a ranked list, largest category first. ## Step 3: Top vendors List the top 10 vendors/payees by total spend: - Vendor name - Total amount - Number of transactions - Average transaction amount ## Step 4: Trends and insights If the user asks for a longer period (quarter or year), provide: - Month-over-month comparison of total expenses - Categories that increased or decreased significantly - Recurring vs. one-time expenses - Largest single transactions in the period ## Step 5: Comparison (if possible) If data is available for the previous equivalent period: - Total expenses this period vs. last period - Percentage change - Categories with the biggest increase/decrease - Flag any unusual or new expense categories ## Presentation format Structure the report clearly: ``` Expense Report: [Period] ======================== Total Expenses: X,XXX.XX EUR By Category: 1. [Category] X,XXX.XX EUR (XX%) [N transactions] 2. [Category] XXX.XX EUR (XX%) [N transactions] ... Top Vendors: 1. [Vendor] X,XXX.XX EUR [N transactions] 2. [Vendor] XXX.XX EUR [N transactions] ... Key Insights: - [Notable finding] - [Notable finding] ``` Keep amounts in EUR. Use clear formatting for readability. Offer to drill down into any specific category if the user wants more detail.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: lifeissea/soul-sims (version 0.1.0)

--- name: soul-sims description: "[Coming Soon] A social simulation world where AI agents with unique SOUL.md personalities interact, debate, trade, and build relationships. Think Sims meets Generative Agents — powered by OpenClaw." --- # soul-sims 🚧 Coming Soon — AI Agent Social Simulation Platform Each OpenClaw agent has a unique personality (SOUL.md). This skill connects them to a shared world where they can: - 🏛️ Debate and vote on topics - 🤝 Trade skills and information - 🏆 Compete in quests and rankings - 💬 Socialize with other AI agents - 🏠 Build reputation and level up Stay tuned. Install to get notified on release.


Security scan verdicts — ClawScan: clean | static analysis:  | VirusTotal:  | SkillSpector:  ()
Skill: wanng-ide/arxiv-skill-hunter (version 1.0.0)

--- name: arxiv-skill-hunter description: Patrol latest arXiv papers and auto-generate Node.js learned skills through hunter to extractor pipeline. metadata: {"openclaw":{"requires":{"bins":["node"]}}} --- # ArXiv Skill Hunter ## What it does - Pulls latest papers from `arxiv-paper-reviews` - Selects a candidate paper - Writes `memory/evolution/pending_skill_task.json` - Triggers `arxiv-skill-extractor` to generate a runnable Node.js skill ## Run ```bash node skills/arxiv-skill-hunter/index.js ``` ## Output - Pending/extracted task state: `memory/evolution/pending_skill_task.json` - Generated skills: `skills/arxiv-learned-*`


Security scan verdicts — ClawScan: suspicious | static analysis:  | VirusTotal: suspicious | SkillSpector: clean (LOW)
Skill: sky-lv/skylv-content-writer (version 1.0.1)

--- name: content-writer description: Content creation assistant. Writes articles, blog posts, marketing copy, and technical documentation. Triggers: content writing, copywriting, blog post, technical writing. metadata: {"openclaw": {"emoji": "✍️"}} --- # Content Writer — 内容创作助手 ## 功能说明 根据需求创作各类文本内容。 ## 使用方法 ### 1. 技术文档 ``` 用户: 为这个API写一份文档： [API描述或代码] ``` 文档结构： - 概述 - 接口列表 - 请求/响应示例 - 错误码说明 - 最佳实践 ### 2. 博客文章 ``` 用户: 写一篇关于"Python异步编程"的博客文章，1500字左右 ``` 文章结构： - 引人入胜的开头 - 核心概念讲解 - 代码示例 - 实战应用 - 总结 ### 3. 营销文案 ``` 用户: 为一款AI写作工具写营销文案，目标用户是内容创作者 ``` 文案要素： - 痛点共鸣 - 产品价值 - 使用场景 - 行动号召 ### 4. 工作报告 ``` 用户: 根据以下数据写一份周报： [工作数据/任务列表] ``` 报告结构： - 本周完成 - 数据亮点 - 遇到问题 - 下周计划 ## 写作风格 可指定风格： - 正式/专业 - 轻松/口语化 - 技术/教程 - 营销/说服 ## 示例输出 ``` # Python异步编程完全指南 ## 为什么需要异步？ 在传统同步编程中，当程序执行I/O操作（如网络请求、文件读写）时， 整个程序会阻塞等待操作完成。这对于高并发场景是巨大的浪费... [继续正文] ## 快速上手 ```python import asyncio async def fetch_data(): # 异步获取数据 await asyncio.sleep(1) return "data" # 运行异步函数 result = asyncio.run(fetch_data()) ``` ## 实战案例 假设我们需要同时获取100个API的数据... [继续正文] ## 总结 异步编程通过非阻塞I/O大幅提升了程序的并发处理能力... ``` ## 注意事项 - 保持内容原创性 - 引用数据注明来源 - 代码示例确保可运行 - 适配目标读者水平


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)
Skill: tsangho/viking-memory-ultra2 (version 0.0.1)

--- name: viking-memory-ultra description: >- Viking Memory System Ultra - 分层记忆基座。特性：动态回流（语义晋升）、智能权重（对数增长）、可逆归档（多粒度摘要）。 核心脚本：sv_write, sv_read, sv_find, sv_autoload, sv_promote, sv_weight, sv_compress, sv_archive, sv_decompress。 version: 1.3.0 metadata: openclaw: emoji: "🧠" requires: env: ["VIKING_HOME", "SV_WORKSPACE"] bins: ["bash", "python3", "curl"] always: false os: ["linux", "darwin"] --- # Viking Memory System Ultra v1.3.0 ## 概述 Viking Memory System Ultra 是分层记忆管理系统，支持： - 分层记忆: hot → warm → cold → archive - 动态回流: 语义相似度驱动的冷记忆晋升 - 智能权重: 对数增长 + 上下文相关性 - 可逆归档: 多粒度摘要 + 按需解压 ## 核心脚本 | 脚本 | 功能 | |------|------| | sv_write.sh | 写入记忆 | | sv_read.sh | 读取记忆 | | sv_find.sh | 搜索记忆 | | sv_autoload.sh | 自动加载 | | sv_promote.sh | 动态回流晋升 | | sv_weight.sh | 权重计算 | | sv_compress_v2.sh | 压缩调度 | | sv_archive_summary.sh | 归档摘要 | | sv_decompress.sh | 解压恢复 | ## 安装 ```bash clawhub install viking-memory-ultra ```

path: claw.json
content: {
  "name": "viking-memory-ultra",
  "version": "1.3.0",
  "description": "Viking Memory System Ultra - 分层记忆基座，支持动态回流、智能权重、可逆归档",
  "author": "tsangho (哈基咪公司)",
  "license": "MIT",
  "permissions": ["filesystem"],
  "entry": "SKILL.md",
  "tags": ["memory", "viking", "knowledge-management", "archive", "recall"],
  "models": ["minimax-*", "claude-*", "gpt-*", "qwen-*"],
  "minOpenClawVersion": "0.8.0",
  "os": ["linux", "darwin"],
  "bins": ["bash", "python3", "curl"]
}


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: stale | SkillSpector: suspicious (CRITICAL)
Skill: cinience/alicloud-backup-bdrc (version 1.0.3)

--- name: alicloud-backup-bdrc description: Manage Alibaba Cloud Backup and Disaster Recovery Center (BDRC) via OpenAPI/SDK. Use whenever the user needs backup/disaster-recovery resource operations, including inventory, policy/configuration changes, status checks, and troubleshooting BDRC workflows. version: 1.0.0 --- Category: service # Backup and Disaster Recovery Center Use Alibaba Cloud OpenAPI (RPC) with official SDKs or OpenAPI Explorer to manage resources for Backup and Disaster Recovery Center. ## Workflow 1) Confirm region, resource identifiers, and desired action. 2) Discover API list and required parameters (see references). 3) Call API with SDK or OpenAPI Explorer. 4) Verify results with describe/list APIs. ## AccessKey priority (must follow) 1) Environment variables: `ALICLOUD_ACCESS_KEY_ID` / `ALICLOUD_ACCESS_KEY_SECRET` / `ALICLOUD_REGION_ID` Region policy: `ALICLOUD_REGION_ID` is an optional default. If unset, decide the most reasonable region for the task; if unclear, ask the user. 2) Shared config file: `~/.alibabacloud/credentials` ## API discovery - Product code: `BDRC` - Default API version: `2023-08-08` - Use OpenAPI metadata endpoints to list APIs and get schemas (see references). ## High-frequency operation patterns 1) Inventory/list: prefer `List*` / `Describe*` APIs to get current resources. 2) Change/configure: prefer `Create*` / `Update*` / `Modify*` / `Set*` APIs for mutations. 3) Status/troubleshoot: prefer `Get*` / `Query*` / `Describe*Status` APIs for diagnosis. ## Minimal executable quickstart Use metadata-first discovery before calling business APIs: ```bash python scripts/list_openapi_meta_apis.py ``` Optional overrides: ```bash python scripts/list_openapi_meta_apis.py --product-code <ProductCode> --version <Version> ``` The script writes API inventory artifacts under the skill output directory. ## Output policy If you need to save responses or generated artifacts, write them under: `output/alicloud-backup-bdrc/` ## Validation ```bash mkdir -p output/alicloud-backup-bdrc for f in skills/backup/alicloud-backup-bdrc/scripts/*.py; do python3 -m py_compile "$f" done echo "py_compile_ok" > output/alicloud-backup-bdrc/validate.txt ``` Pass criteria: command exits 0 and `output/alicloud-backup-bdrc/validate.txt` is generated. ## Output And Evidence - Save artifacts, command outputs, and API response summaries under `output/alicloud-backup-bdrc/`. - Include key parameters (region/resource id/time range) in evidence files for reproducibility. ## Prerequisites - Configure least-privilege Alibaba Cloud credentials before execution. - Prefer environment variables: `ALICLOUD_ACCESS_KEY_ID`, `ALICLOUD_ACCESS_KEY_SECRET`, optional `ALICLOUD_REGION_ID`. - If region is unclear, ask the user before running mutating operations. ## References - Sources: `references/sources.md`


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (HIGH)
Skill: linkfox-ai/linkfox-temu-fulfillment-us (version 1.0.0)

--- name: linkfox-temu-fulfillment-us version: 1.0.0 category: product-sourcing description: Temu 美国站电商履行/发货 API（合一）：Buy-Shipping购标面单、合作仓履约、卖家自发货、物流跟踪等27+接口。当用户提到 Temu US 发货、购标、Buy-Shipping、合作仓、自发货、tracking、scanform、shipment.create、order-shipping 时触发。订单用 linkfox-temu-order-us。 --- # Temu 美国站 — 电商履行 / 发货（Fulfillment） 本 skill（`linkfox-temu-fulfillment-us`）合并原 **Buy-Shipping**、**Co-Warehouse**、**Self-Fulfilled Shipments**、**Tracking** 四个 skill，覆盖 Partner US **Fulfillment** 域 **27** 个已接入 `type`。 | 域 | 脚本前缀 | 接口数 | |----|----------|--------| | Buy-Shipping | `us_buy_shipping_*` | 17 | | Co-Warehouse | `us_co_warehouse_*` | 4 | | Self-Fulfilled | `us_self_fulfilled_*` | 5 | | Tracking | `us_tracking_*` | 1 | 详见 [partner-us-catalog.md](./references/partner-us-catalog.md)。 **网关**： | 能力 | 方法 | 路径 | |------|------|------| | 履约 OpenAPI | POST | `https://tool-gateway.linkfox.com/temu/proxy` | | 加签文件下载 | POST | `https://tool-gateway.linkfox.com/temu/fileDownload` | ## 相关 skill | 场景 | skill | |------|--------| | 订单列表/详情/地址 | `linkfox-temu-order-us` | | 取消订单 | `linkfox-temu-cancel-order-us` | | 商品管理 | `linkfox-temu-manage-product-us` | | 退货退款 | `linkfox-temu-returns-refunds-us` | | 全球站履约 | `linkfox-temu-fulfillment-global`（无 Scan Form） | ## 默认参数 | 字段 | 默认 | |------|------| | site | `us` | | managementType | `semi-managed` | | tokenPurpose | `order-shipping` | ## Scripts（按域） ### Buy-Shipping（`us_buy_shipping_*`） 购标、面单、Scan Form、上门揽收等 — 见 [apis/README.md](./references/apis/README.md#buy-shipping购标面单scan-form)。 ### Co-Warehouse（`us_co_warehouse_*`） `bg.cooperativewarehouse.*` — 合作仓授权、提交/取消履约。 ### Self-Fulfilled（`us_self_fulfilled_*`） `bg.logistics.shipment.v2.*`、`shippingtype.update` 等 — 卖家自带运单号。 ### Tracking（`us_tracking_*`） `temu.track.trackinginfo.get` ### 通用 | 脚本 | 说明 | |------|------| | `temu_us_proxy.py` | 任意 `type` | | `temu_us_file_download.py` | 加签文件下载 | 薄封装统一调用 **`_us_fulfillment_script.run_cli`**。 ## 示例 ```bash export LINKFOXAGENT_API_KEY="<key>" # Buy-Shipping 购标 python scripts/us_buy_shipping_logistics_shipment_create.py '{ "accessToken": "TOKEN", "tokenPurpose": "order-shipping", "request": { } }' # 卖家自发货更新跟踪号 python scripts/us_self_fulfilled_logistics_shipment_shippingtype_update.py '{ "accessToken": "TOKEN", "request": { "editPackageRequestList": [{ "packageSn": "PKG-1", "trackingNumber": "1Z..." }] } }' ``` **Feedback：** `skillName`：`linkfox-temu-fulfillment-us`


Security scan verdicts — ClawScan: suspicious | static analysis: suspicious | VirusTotal:  | SkillSpector: suspicious (CRITICAL)
Skill: xueyetianya/agent-ops-framework (version 8.0.0)

--- name: "agent-ops-framework" version: "8.0.0" description: "AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluation metrics" author: "BytesAgain" homepage: "https://bytesagain.com" source: "https://github.com/bytesagain/ai-skills" tags: [ai-agent, multi-agent, langchain, llm, orchestration] category: "devtools" --- # Agent Ops Framework AI agent operations reference — multi-agent architectures, ReAct and chain-of-thought patterns, tool-use conventions, prompt injection defense, and evaluation metrics. No API keys or credentials required — outputs reference documentation only. ## Commands | Command | Description | |---------|-------------| | `intro` | Multi-agent architectures, frameworks | | `standards` | Output schemas, tool-use, MCP, eval benchmarks | | `troubleshooting` | Context overflow, loops, hallucination, rate limits | | `performance` | Caching, parallelism, token optimization | | `security` | Prompt injection, sandboxing, audit logging | | `migration` | Single to multi-agent, prompt to function calling | | `cheatsheet` | LangChain, CrewAI, AutoGen APIs, agent patterns | | `faq` | When to use agents, costs, framework choice | ## Output Format All commands output plain-text reference documentation via heredoc. No external API calls, no credentials needed, no network access. --- *Powered by BytesAgain | bytesagain.com | [REDACTED_SECRET]*


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