Who it is forA developer who prefers asking an agent over learning a CLI.
The problemBenchmark CLIs have many steps.
The outcomeAgent-run scoring and reports.
What you need first
- Python with pip
- Outputs from the image models you want to compare
Steps
- Run
/plugin marketplace add MegaTroll222/edit-drift - Run
/plugin install edit-drift@edit-drift - Point it at your results folder
- Ask for scores and a report
Prompt for your agent
Using the edit-drift Claude Code plugin, score results in <folder> and produce the report. Confirm scores.json exists for each model.
Caveat. Masks per step must match your image size; use editdrift mask to generate them.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for MegaTroll222/edit-drift and "Run the benchmark from Claude Code"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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