Gemini Deep Research — 技能 — openclaw中文资讯站

技能详情（站内镜像，无评论）

Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analy…

开发与 DevOps

许可证：MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本：v1.0.0

统计：⭐ 25 · 7.2k · 61 current installs · 63 all-time installs

⭐ 25

安装量（当前） 63

🛡 VirusTotal ：良性 · OpenClaw ：良性

Package：arun-8687/gemini-deep-research

安全扫描（ClawHub）

VirusTotal ：良性
OpenClaw ：良性

OpenClaw 评估

The skill's code, runtime instructions, and requested credential (GEMINI_API_KEY) are consistent with a Gemini Deep Research client; nothing in the files indicates unrelated access or covert exfiltration.

目的

Name/description match the implementation: the script talks to the generativelanguage.googleapis.com interactions API with the declared agent and uses an x-goog-api-key header. The single required credential (GEMINI_API_KEY) is appropriate for this purpose.

说明范围

SKILL.md and the script limit actions to creating/polling Gemini interactions, extracting model output, optional file-search tool usage (via fileSearchStore name sent to the API), and writing results to local timestamped files. The instructions do not read arbitrary local files or access other environment variables.

安装机制

There is no install spec (instruction-only), which minimizes disk writes. However, a Python script is included that depends on a Python runtime and the 'requests' library; those dependencies are not declared in the skill metadata or install instructions. This is not a security issue but is an operational omission the user should be aware of.

证书

Only GEMINI_API_KEY is required and used as documented (x-goog-api-key). No other credentials, secrets, or unrelated environment variables are requested or accessed.

持久

The skill is not always-enabled and does not request elevated platform privileges or modify other skills. It writes output files to the specified output directory (default is current directory), which is expected behavior for a CLI research tool.

综合结论

This skill appears to do what it says: it uses a Gemini API key to start and poll Deep Research agent interactions and saves reports locally. Before installing/running, confirm: (1) you are comfortable providing a Gemini API key—this key allows access to your Google AI Studio quota and may incur costs; (2) the key's scope and permissions (and whether it can access any internal file-search stores) meet your security policies; (3) you have a Pyt…

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Gemini Deep Research」。简介：Perform complex, long-running research tasks using Gemini Deep Research Agent. …。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/arun-8687/gemini-deep-research/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
name: gemini-deep-research
description: Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
metadata: {"clawdbot":{"emoji":"🔬","requires":{"env":["GEMINI_API_KEY"]},"primaryEnv":"GEMINI_API_KEY"}}
---

# Gemini Deep Research

Use Gemini's Deep Research Agent to perform complex, long-running context gathering and synthesis tasks.

## Prerequisites

- `GEMINI_API_KEY` environment variable (from Google AI Studio)
- **Note**: This does NOT work with Antigravity OAuth tokens. Requires a direct Gemini API key.

## How It Works

Deep Research is an agent that:
1. Breaks down complex queries into sub-questions
2. Searches the web systematically
3. Synthesizes findings into comprehensive reports
4. Provides streaming progress updates

## Usage

### Basic Research

```bash
scripts/deep_research.py --query "Research the history of Google TPUs"
```

### Custom Output Format

```bash
scripts/deep_research.py --query "Research the competitive landscape of EV batteries" 
  --format "1. Executive Summaryn2. Key Players (include data table)n3. Supply Chain Risks"
```

### With File Search (optional)

```bash
scripts/deep_research.py --query "Compare our 2025 fiscal year report against current public web news" 
  --file-search-store "fileSearchStores/my-store-name"
```

### Stream Progress

```bash
scripts/deep_research.py --query "Your research topic" --stream
```

## Output

The script saves results to timestamped files:
- `deep-research-YYYY-MM-DD-HH-MM-SS.md` - Final report in markdown
- `deep-research-YYYY-MM-DD-HH-MM-SS.json` - Full interaction metadata

## API Details

- **Endpoint**: `https://generativelanguage.googleapis.com/v1beta/interactions`
- **Agent**: `deep-research-pro-preview-12-2025`
- **Auth**: `x-goog-api-key` header (NOT OAuth Bearer token)

## Limitations

- Requires Gemini API key (get from [Google AI Studio](https://aistudio.google.com/apikey))
- Does NOT work with Antigravity OAuth authentication
- Long-running tasks (minutes to hours depending on complexity)
- May incur API costs depending on your quota