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Execute Gemini CLI for AI-powered code analysis and generation.
Passed 18 of 20 test cases with the skill, and 12 of 20 without it.
and 5 more in the full report
7 fixed13 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Construct the complete Bash tool execution call parameter block for querying "explain vector embeddings" using the Gemini CLI script.
| Checked | Without skill | With skill |
|---|---|---|
| The command field contains uv run ~/.claude/skills/gemini/scripts/gemini.py "explain vector embeddings". | Missed | Passed |
| The timeout field is set to 7200000. | Missed | Passed |
The instructions your model reads when the skill loads.
Execute Gemini CLI commands with support for multiple models and flexible prompt input. Integrates Google's Gemini AI models into Claude Code workflows.
Mandatory: Run via uv with fixed timeout 7200000ms (foreground):
uv run ~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]
Optional (direct execution or using Python):
~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]
# or
python3 ~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]
gemini-3-pro-preview)
export GEMINI_MODEL=gemini-3timeout: 7200000 for double protectionprompt (required): Task prompt or questionworking_dir (optional): Working directory (default: current directory)test cases passed, vs 12 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.