Gemini Deep Research
v1.0.0Perform 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.
⭐ 27· 8k·67 current·70 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
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.
Instruction Scope
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.
Install Mechanism
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.
Credentials
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.
Persistence & Privilege
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.
Assessment
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 Python runtime and the 'requests' package available (the skill does not declare an installer); and (4) review the script if you plan to run it with sensitive inputs (it will send queries and optional fileSearchStore names to Google’s API and will write outputs to disk). If you need stronger guarantees, request a version that includes a manifest specifying runtime and dependency installation steps and/or remove the file-search option if you do not want the agent to reference private stores.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🔬 Clawdis
EnvGEMINI_API_KEY
Primary envGEMINI_API_KEY