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在 OpenClaw 中安装
/install gemini-deep-research-jirboy
功能描述
Performs complex, multi-step research on specified topics, synthesizing web data into detailed markdown reports with progress updates, now integrated into re...
使用说明 (SKILL.md)
⚠️ 已整合 - 请使用 research 统一入口
本技能保留用于向后兼容，功能已整合到
research统一入口技能推荐使用：
research deep [主题]或直接使用本技能（自动转发）
Gemini Deep Research（兼容层）
Use Gemini's Deep Research Agent to perform complex, long-running context gathering and synthesis tasks.
迁移指南
新用法：
research deep 竞争分析 电动汽车电池
research deep 市场调研 人工智能
旧用法（仍然可用）：
deep 竞争分析 电动汽车电池
Prerequisites
GEMINI_API_KEYenvironment variable (from Google AI Studio)- Note: Does NOT work with Antigravity OAuth tokens
How It Works
- Breaks down complex queries into sub-questions
- Searches the web systematically
- Synthesizes findings into comprehensive reports
- Provides streaming progress updates
Output
deep-research-YYYY-MM-DD-HH-MM-SS.md- Final report in markdowndeep-research-YYYY-MM-DD-HH-MM-SS.json- Full interaction metadata
安全使用建议
This skill appears to implement what it claims (a Gemini deep-research client) and only needs your GEMINI_API_KEY and network access to Google's generativelanguage API, but there are several inconsistencies you should resolve or consider before installing:
- The SKILL.md and the Python script require GEMINI_API_KEY, but the registry metadata incorrectly lists no required env vars/credentials. Expect to provide your GEMINI_API_KEY (or run with --api-key).
- The Python script uses the third-party 'requests' library, but no dependency/install instructions are provided. Ensure the runtime has 'requests' available or add an install step.
- Metadata files (_meta.json, package.json) and the registry record show mismatched owner, slug, and version values. That reduces confidence in provenance—ask the publisher to clarify and fix metadata.
- The script performs network calls to https://generativelanguage.googleapis.com and will save report and JSON files locally. If you plan to run it, run in a controlled environment, verify the code yourself, and do not supply sensitive credentials unless you trust the publisher and need the functionality.
If the publisher can fix the metadata and declare the GEMINI_API_KEY requirement and the dependency on 'requests', the skill would be coherent with its purpose. If you cannot confirm provenance, prefer running the script manually in an isolated environment rather than enabling it for autonomous agent invocation.
功能分析
Type: OpenClaw Skill
Name: gemini-deep-research-jirboy
Version: 2.0.0
The skill is a legitimate API client for Google's Gemini Deep Research service. The Python script (scripts/deep_research.py) interacts with the official Google Generative Language API (generativelanguage.googleapis.com) to perform research tasks and save results locally in Markdown and JSON formats, which is consistent with its stated purpose in SKILL.md.
能力标签
能力评估
Purpose & Capability
The name/description, SKILL.md, and scripts/deep_research.py consistently implement a Gemini Deep Research client using Google Generative Language API (agent model 'deep-research-pro-preview-12-2025'). However the registry metadata claims no required environment variables or credentials while the SKILL.md and the script both require GEMINI_API_KEY — this is an inconsistency. Additionally the repository metadata in _meta.json (version/owner/slug) does not match the registry metadata (different ownerId/slug/version), which weakens provenance.
Instruction Scope
Runtime instructions and the Python script are scoped to starting and polling a research interaction with the Google API, extracting the report, and saving it to local files. The SKILL.md does not ask the agent to read unrelated files or exfiltrate unrelated credentials. The script writes outputs to the specified output directory and optionally uses a file_search_store tool parameter (which is passed to the API) — nothing in the instructions indicates out-of-scope system access.
Install Mechanism
There is no install spec (instruction-only), which is lower risk. But the shipped Python script imports 'requests' while package.json contains no dependencies and the skill metadata lists no required binaries or packages. That mismatch means the skill may fail at runtime or require ad-hoc installs; the lack of declared dependencies is an oversight that should be corrected.
Credentials
The SKILL.md and script require a GEMINI_API_KEY (or --api-key) to call Google’s generativelanguage API — this is appropriate for the stated purpose. However the registry metadata declares 'required env vars: none' and 'Primary credential: none', which is incorrect and potentially misleading. No other credentials are requested by the code, so the scope of secrets requested is otherwise proportionate, but the metadata omission is a notable risk (users might not realize they need to supply an API key).
Persistence & Privilege
The skill is not marked 'always: true' and is user-invocable only. It does not request to modify other skills or system-wide settings. It writes output files to an output directory (normal behavior). Autonomous invocation remains allowed by platform default but is not a unique privilege of this skill.
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 gemini-deep-research-jirboy - 安装完成后，直接呼叫该 Skill 的名称或使用
/gemini-deep-research-jirboy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
v2.0.0
Version 2.0.0
- No changes detected in files or documentation.
- Skill behavior and migration notice remain the same.
- Continues to serve as a compatibility layer for the unified research skill.
v1.0.0
- Gemini Deep Research is now merged into the unified research skill entry point.
- This skill remains for backward compatibility; all features are accessible via research.
- Recommended use: research deep [topic] (automatically redirects).
- Legacy usage deep [topic] is still supported.
- No functional changes; update aims to streamline access and migration guidance.
元数据
常见问题
Gemini Deep Research 是什么？
Performs complex, multi-step research on specified topics, synthesizing web data into detailed markdown reports with progress updates, now integrated into re... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 89 次。
如何安装 Gemini Deep Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install gemini-deep-research-jirboy」即可一键安装，无需额外配置。
Gemini Deep Research 是免费的吗？
是的，Gemini Deep Research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Gemini Deep Research 支持哪些平台？
Gemini Deep Research 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 Gemini Deep Research？
由 JIRBOY（@jirboy）开发并维护，当前版本 v2.0.0。
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