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ci: Day-1 eval automation — frontier-release watcher + runbook issues + report generator - #284

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ci: Day-1 eval automation — frontier-release watcher + runbook issues + report generator#284
reacher-z wants to merge 1 commit into
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feat/day1-eval

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@reacher-z

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Publicity workstream #1/#2 (per maintainer's 2026-08-16 directive): make Day-1 evaluations of new frontier models a standing, automated habit.

What this adds

  • .github/workflows/day1-eval.yml — daily cron; when a frontier vendor (Anthropic/OpenAI/Google/xAI/DeepSeek/Moonshot/Zhipu/MiniMax/Qwen/Meta/Mistral) lists a new model on OpenRouter, opens a day1-eval issue with a complete runbook (smoke → full V2 → rescore → leaderboard row → results-post draft). Dedups against prior issues; :free variants skipped; benchmark runs stay on maintainer infra.
  • scripts/day1_watch.py — the watcher (stdlib only; tested live: correctly lists recent releases).
  • scripts/day1_report.py — turns batch-summary.json (+ optional rescore summary) into a ready-to-edit results post: headline numbers, 6-tweet X thread, Chinese blurb.
  • Each runbook issue embeds a vendor-outreach template (workstream Rename .env.example to .env with PurelyMail config #2) referencing the Li Auto Mach-Mind-4-Flash precedent.

Notes for review

  • The release signal is OpenRouter's public catalog — models not listed there (rare for frontier releases) won't trigger; workflow_dispatch covers manual runs.
  • Both scripts are ruff-format/check clean; workflow YAML validated.

Daily cron polls the public OpenRouter catalog for frontier-vendor models
released in the last 2 days, dedups against previous day1-eval issues, and
opens a runbook issue: models.yaml entry, v1-lite smoke, full V2 batch,
rescore, leaderboard row, and a results-post draft via day1_report.py.
Includes a vendor-outreach template per model. The benchmark run itself
happens on maintainer infra, never in CI.
@Perry2004

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I don't think we want to and are should catch up evaluation for all newly released models. It's too costly both economically and timely. Also the GitHub issues will be flooded by such new model evaluation ones.

@Perry2004 Perry2004 closed this Aug 18, 2026
@github-project-automation github-project-automation Bot moved this from Todo to Done in ClawBench Aug 18, 2026
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