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Gemini Deep Research 1.0.0

作者 Lion504 · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
406
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0
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5
当前安装
1
版本数
在 OpenClaw 中安装
/install gemini-deep-research-1-0-0
功能描述
Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitiv...
使用说明 (SKILL.md)

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

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

Custom Output Format

scripts/deep_research.py --query "Research the competitive landscape of EV batteries" \
  --format "1. Executive Summary\
2. Key Players (include data table)\
3. Supply Chain Risks"

With File Search (optional)

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

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)
  • Does NOT work with Antigravity OAuth authentication
  • Long-running tasks (minutes to hours depending on complexity)
  • May incur API costs depending on your quota
安全使用建议
This skill is internally consistent with its description, but review a few points before installing: 1) Confirm the GEMINI_API_KEY you provide is appropriate to use here and that you trust the skill/source—API keys enable usage and billing. 2) Be cautious when using the --file-search-store option: that grants the agent access to named file stores and could expose sensitive documents; only specify stores you trust. 3) The package has no install spec and requires Python + the requests library; run it in an environment where you control dependencies (ideally an isolated virtualenv or container). 4) There is a mismatch in provenance metadata: the registry metadata owner ID shown to you differs from ownerId in _meta.json inside the package—this doesn’t prove maliciousness but reduces provenance confidence; if author authenticity matters, ask the publisher for clarification. 5) If you’re unsure, run the script with a limited/test API key and in an isolated environment first.
功能分析
Type: OpenClaw Skill Name: gemini-deep-research-1-0-0 Version: 1.0.0 The OpenClaw skill 'gemini-deep-research' is designed to interact with the legitimate Google Gemini Deep Research API. It takes user queries and formatting instructions, authenticates using a `GEMINI_API_KEY` (from environment or CLI), and sends requests to `https://generativelanguage.googleapis.com`. The script saves the generated research reports locally as markdown and JSON files. There is no evidence of data exfiltration to unauthorized endpoints, malicious command execution, persistence mechanisms, or prompt injection against the OpenClaw agent itself. The ability to specify output format via `--format` is a feature for guiding the remote AI model, not a vulnerability in the skill's local execution.
能力评估
Purpose & Capability
Name/description, SKILL.md, and the included Python script all consistently implement a Gemini Deep Research client that uses a Gemini API key to create/poll interactions and save results. The requested env var (GEMINI_API_KEY) and the declared primary credential align with the described functionality.
Instruction Scope
Runtime instructions direct running scripts/deep_research.py which only use the GEMINI_API_KEY and optional file_search_store. The optional file-search feature will cause the agent to request access to a named file store (potentially exposing local or cloud file contents) — this is within the skill's advertised capabilities but is a privileged operation the user should explicitly permit. The script writes timestamped output files to disk (output-dir), which is expected behavior but will persist results locally.
Install Mechanism
There is no install spec (instruction-only plus a bundled script). No remote downloads or unusual installers are used. Note: the script depends on the Python requests package but no dependency list is declared; this is an operational (not security) mismatch—script will fail if requests is missing.
Credentials
The skill only requires GEMINI_API_KEY (declared as primaryEnv) which is appropriate for calling the Generative Language endpoint with an API key. No other secrets or unrelated env vars are requested. The key will be sent as the x-goog-api-key header to the Google endpoint, which may permit billing/usage on your account—so protect it accordingly.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request persistent system privileges, modify other skills, or require system-wide configuration changes. It writes its own output files only to the configured output directory.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install gemini-deep-research-1-0-0
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /gemini-deep-research-1-0-0 触发
  4. 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
- Initial release of gemini-deep-research skill. - Enables complex, multi-source research using the Gemini Deep Research Agent. - Supports systematic web search, multi-step query breakdown, and comprehensive reporting. - Offers streaming progress updates and customizable output formats. - Requires a Gemini API key from Google AI Studio for use.
元数据
Slug gemini-deep-research-1-0-0
版本 1.0.0
许可证
累计安装 5
当前安装数 5
历史版本数 1
常见问题

Gemini Deep Research 1.0.0 是什么?

Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitiv... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 406 次。

如何安装 Gemini Deep Research 1.0.0?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install gemini-deep-research-1-0-0」即可一键安装,无需额外配置。

Gemini Deep Research 1.0.0 是免费的吗?

是的,Gemini Deep Research 1.0.0 完全免费(开源免费),可自由下载、安装和使用。

Gemini Deep Research 1.0.0 支持哪些平台?

Gemini Deep Research 1.0.0 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 1.0.0?

由 Lion504(@lion504)开发并维护,当前版本 v1.0.0。

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