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- Update SKILL.md and SKILL.md.en to clarify the benchmark process, emphasizing the self-check that validates the harness and scores the target.
- Modify run-benchmark.mjs to include a self-check feature that scaffolds a temporary harness and confirms its functionality before scoring.
- Improve error handling and reporting for the self-check in the benchmark output.
- Refactor verification commands in harness-utils.mjs to use `python3` for better compatibility and handle pytest exit codes appropriately.
Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
Be clear that this is a structural benchmark. Real effectiveness still needs before/after agent sessions on representative tasks.
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Be clear that this is a structural benchmark. The benchmark first runs a self-check — it scaffolds a throwaway harness and validates it, proving the bundled scripts work end-to-end — then scores the target and eval coverage. Real effectiveness still needs before/after agent sessions on representative tasks.
Be clear that this is a structural benchmark. Real effectiveness still needs before/after agent sessions on representative tasks.
76
+
Be clear that this is a structural benchmark. The benchmark first runs a self-check — it scaffolds a throwaway harness and validates it, proving the bundled scripts work end-to-end — then scores the target and eval coverage. Real effectiveness still needs before/after agent sessions on representative tasks.
<p>Scaffolded a throwaway harness and scored it ${report.selfCheck.score}/100 — confirms the bundled scripts run end-to-end.${report.selfCheck.error ? ` Error: ${escapeHtml(report.selfCheck.error)}` : ''}</p>
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