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在 OpenClaw 中安装
/install real-estate-deep-research
功能描述
深度智联 Agentic 智能体 Skill。让用户告别碎片化查询，由 AI 智能体统筹复杂的房地产行业研究任务。支持房地产市场分析、土地研判、房地产企业分析、房地产项目案例分析、房地产项目设计建议、政策解读、物业行业资讯（日/周/月报）、物业行业招投标监测等房地产行业研究任务的创建、进度查询、成果获取与迭代优化...
安全使用建议
This skill appears to do what it says: it is a Python CLI that forwards tasks and uploaded files to agentic.dichanai.com and requires a single AGENTIC_TOKEN. Before installing, consider: 1) Trust the remote service (agentic.dichanai.com) — any files you upload or prompts you send will be transmitted to that host. 2) The CLI auto-renews tokens and prints NEW_TOKEN to stdout; ensure your agent or user-facing outputs will not disclose that printed token (use ephemeral tokens, restrict logs, or avoid running token-renew on a public channel). 3) Confirm what 'uv' install means in your platform and whether the package installation is performed from a trusted source. 4) Avoid uploading highly sensitive files (PII, private keys) unless you fully trust the endpoint and its data retention policies. 5) Note small inconsistencies (version string mismatch in SKILL.md vs metadata, script contains a name typo) — these suggest limited quality control; review the script source yourself or ask the publisher for clarifications. If you need lower risk, request a version that does not print tokens to stdout and that documents the installer provenance (pip/requirements).
能力评估
Purpose & Capability
Name/description, required binary (python3), required env var (AGENTIC_TOKEN), and the CLI code all align: the skill implements a client for agentic.dichanai.com to create/monitor/download research tasks. Requiring a token and python is proportionate to the described functionality.
Instruction Scope
SKILL.md explicitly instructs the agent to send user instructions and any uploaded reference files to agentic.dichanai.com — this is coherent with the service but is a privacy surface the user must accept. The SKILL.md asks the AI to check token state and to avoid leaking tokens, however the implementation prints renewed tokens to stdout which could be captured and leaked by the agent or logged — this is a concrete instruction-scope risk (sensitive data exposure).
Install Mechanism
Declared install is a single package 'requests' (reasonable for a Python CLI). The metadata uses 'kind: uv' which is nonstandard/odd (not a well-known installer label like pip/brew); this is a minor inconsistency to verify with the platform but not inherently malicious.
Credentials
Only AGENTIC_TOKEN is requested as the primary credential which matches the skill's remote API usage. The concern is proportionality of how the token is handled: the CLI will automatically renew tokens and prints NEW_TOKEN to stdout for the operator to copy — this increases the chance a token is exposed to users, logs, or the agent's outgoing messages.
Persistence & Privilege
always is false and there is no evidence the skill requests permanent platform-wide privileges or modifies other skills' configurations. Autonomous invocation remains enabled (platform default) but is not combined with other high-privilege indicators.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install real-estate-deep-research - 安装完成后，直接呼叫该 Skill 的名称或使用
/real-estate-deep-research触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
real-estate-deep-research 1.1.0 introduces a comprehensive agent-based workflow for deep real estate research.
- Adds a guided conversation system to help users clarify and improve research requests prior to task submission.
- Implements strict adherence to user intent: user prompts are passed verbatim to backend without AI reinterpretation or rewriting.
- Integrates with 深度智联 Agentic 智能体 for unified handling of complex research tasks (market/land analysis, project studies, policy interpretation, reporting, etc.).
- Enforces proactive user notification regarding token usage, privacy, and consumption of platform credits before task execution.
- Detailed HITL (“human-in-the-loop”) protocol: system pauses and relays AI agent questions precisely when user input or decisions are needed.
- Expands command set for full lifecycle management, including scheduling, uploading, downloading, aborting, and sharing research projects.
元数据
常见问题
DeepLink Agentic 是什么？
深度智联 Agentic 智能体 Skill。让用户告别碎片化查询，由 AI 智能体统筹复杂的房地产行业研究任务。支持房地产市场分析、土地研判、房地产企业分析、房地产项目案例分析、房地产项目设计建议、政策解读、物业行业资讯（日/周/月报）、物业行业招投标监测等房地产行业研究任务的创建、进度查询、成果获取与迭代优化... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 63 次。
如何安装 DeepLink Agentic？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install real-estate-deep-research」即可一键安装，无需额外配置。
DeepLink Agentic 是免费的吗？
是的，DeepLink Agentic 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
DeepLink Agentic 支持哪些平台？
DeepLink Agentic 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 DeepLink Agentic？
由 深度智联（@dichanai）开发并维护，当前版本 v1.0.0。
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