semantic-scholar-review-paper-mining-starter — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited semantic-scholar-review-paper-mining-starter (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this starter to flag likely review papers from a small local paper set.
python3 skills/scientific-knowledge/semantic-scholar-review-paper-mining-starter/scripts/run_semantic_scholar_review_mining.py \
--input skills/scientific-knowledge/semantic-scholar-review-paper-mining-starter/examples/paper_metadata.json~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.