Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Analyze what search queries Gemini uses when answering a prompt, by running it multiple times with Google Search grounding and reporting frequency distributi...
Analyze what search queries Gemini uses when answering a prompt, by running it multiple times with Google Search grounding and reporting frequency distributi...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Run a prompt N times against Gemini with Google Search grounding enabled. Collect and report the frequency of search queries Gemini generates across all runs.
GEMINI_API_KEY=$(security find-generic-password -s "nano-banana-pro" -w) \ python3 scripts/analyze.py "your prompt here" [--runs 10] [--model gemini-2.5-pro] [--concurrency 5] [--output text|json] Run from the skill directory. Resolve scripts/analyze.py relative to this SKILL.md.
--runs N โ Number of times to run the prompt (default: 10) --model NAME โ Gemini model to use (default: gemini-2.5-pro) --concurrency N โ Max parallel API calls (default: 5; keep โค5 to avoid rate limits) --output text|json โ Output format (default: text)
Reports for each unique search query: Frequency percentage (how many runs used that query) Raw count Top web sources referenced
Gemini API key must be in GEMINI_API_KEY env var (stored in macOS Keychain under nano-banana-pro) Each run is independent โ Gemini may use different search queries each time Retries failed requests up to 3 times with exponential backoff Use --output json for programmatic consumption
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