Score any AI model on the DeepSWE coding-agent benchmark via the OpenRouter API. Use when the user wants an independent, reproducible coding-agent eval — "run DeepSWE", "benchmark this model on DeepSWE", "score model X on the coding benchmark", "test a model via OpenRouter on DeepSWE", or to verify vendor-reported coding scores. Covers setup, the OpenRouter wiring for mini-swe-agent, single-task / subset / full 113-task runs, and leaderboard submission.
How to install run-deep-swe?
matymatyk-business/david-skills/run-deep-swe
$npx -y skills add matymatyk-business/david-skills --skill run-deep-sweInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/matymatyk-business/david-skills" --skill "matymatyk-business/david-skills/run-deep-swe"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/matymatyk-business/david-skills" that are relevant to the current task. Run `npx skills add "https://github.com/matymatyk-business/david-skills"` and select the relevant skills, then follow their instructions.
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