Semantic scholar review paper mining starter
Skill ma-compbio-lab/SkillFoundry/skills/scientific-knowledge/semantic-scholar-review-paper-mining-starter
Mine likely review, survey, and meta-analysis papers from a local metadata set using deterministic title and abstract heuristics aligned with Semantic Scholar review-search workflows.From its SKILL.md
npx -y skills add ma-compbio-lab/SkillFoundry --skill semantic-scholar-review-paper-mining-starterAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
0.6 KB, 86 tokens by cl100k_base, as published. Nobody here has run it
Semantic Scholar Review Paper Mining Starter
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
What ships with it: 9 files
10.4 KB alongside SKILL.md, 2 of them executable
assets/
- README.md102 B
- single_cell_review_candidates.json3.4 KB
examples/
- canonical_topic.txt27 B
- paper_metadata.json1.3 KB
- README.md94 B
scripts/
- run_semantic_scholar_review_mining.pyruns2.7 KB
tests/
- metadata.yaml1.3 KB
- refs.md230 B