ZeeLin Deep Research 深度研究

ZeeLin Deep Research 深度研究是一款 AI 驱动的专业研究辅助平台，支持一句话生成与多步骤生成，提供深度、专家两大研究路径。从快速信息梳理、系统分析到超万字专家报告全流程覆盖，依托多轮推理与多源数据整合，高效完成企业分析、市场洞察、招商研究等复杂任务，一站式提升研究效率与决策质量。

This skill appears to implement what it claims, but there are a few things to check before installing: - It requires you to put a ZeeLin API key in the skill's config.json; treat that file as sensitive. Consider using a limited key and rotating it if possible. - The scripts will read ZEELIN_TARGET_USER and ZEELIN_CHANNEL environment variables (if set) and persist them into config.json. If you don't want those values stored, ensure those env vars are unset or review/clean config.json after first run. - The watch script uses an 'openclaw message send' subprocess to deliver the PDF link; make sure the openclaw CLI is trusted and available in your environment. If you don't want the skill to send messages automatically, do not provide target/channel or modify the notify_done function. - The skill calls an external domain (https://desearch.zeelin.cn) and will forward the PDF URL returned by that service. If data confidentiality is a concern, review what content is sent to ZeeLin and whether the returned links point to trusted hosts. If you need higher assurance, ask the publisher for: a) a declared list of required binaries (including openclaw), b) justification for the env vars it reads and where data is sent/stored, and c) a privacy/data-retention policy for generated reports. If you cannot verify those, treat this skill as potentially privacy-sensitive and consider running it in a restricted environment.

Type: OpenClaw Skill Name: zeelin-deep-research-pro Version: 1.0.0 The ZeeLin Deep Research skill is a legitimate tool designed to automate research tasks via a third-party API (desearch.zeelin.cn). The scripts (zeelin_start.py and zeelin_watch.py) handle task creation, status monitoring, and user notification using the openclaw CLI. The code follows its stated purpose, uses standard subprocess management for background tasks, and lacks any indicators of data exfiltration, malicious execution, or prompt injection.