auto-improvement: daily paper-review loop from Awesome-LLM4Cybersecurity#66
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Adds a half-automated loop that, every day at 00:15 UTC: 1. Fetches the upstream LITERATURES.md (639 entries today, growing). 2. Picks ~10 unseen newest entries and asks Claude Haiku 4.5 whether each one yields a concrete regex/substring-scoped Aigis detector. 3. Drafts a pending/ stub per relevant candidate (humans promote to real rule PRs; ROTATION-loop conventions preserved). 4. Files one summary issue + opens a bot PR with the new pending files and updated state.json. No detector code is touched by the workflow itself — this is the semi-automatic mode the user picked: candidates + draft patches in, human review out. Cost target: <$1/day (10 papers x Haiku ~500 out tokens). Requires repo secret ANTHROPIC_API_KEY. Dry-run via workflow_dispatch input dry_run=true exercises the parser without burning API credits. Parser verified locally against the live source: 639 entries parsed, newest-first ordering produces the expected top picks (SecLens 2026.04, CyberThreat-Eval 2026.03, Minerva 2026.01). Signed-off-by: killertcell428 <killertcell428@gmail.com>
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Summary
aigis/stays a human-driven PR — same convention as the existing 6-hour rotation loop.Files
How it picks 10 papers
Newest-first by upstream date string. At 10/day, the current 639-entry list takes ~64 days to clear, after which the loop catches each new commit to upstream as the maintainers add it.
Required setup (before the first cron fires)
Cost guard
10 papers × Haiku 4.5 (≈500 output tokens) ≈ a few cents/day → <$1/month at the chosen budget.
Test plan
🤖 Generated with Claude Code