scienceclaw-local-filesInvestigate local files (PDFs, FASTA, CSV, TSV, JSON, TXT) using ScienceClaw's multi-agent science engine. Accepts files shared in chat or paths on disk, ext...
Install via ClawdBot CLI:
clawdbot install fwang108/scienceclaw-local-filesGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 7, 2026
A pharmaceutical researcher investigates a CSV file containing assay data for a library of compounds against a specific protein target. The skill processes the data, runs cheminformatics tools like RDKit and PubChem, and identifies potential hits with desired ADMET properties, accelerating hit-to-lead optimization.
A biologist studying a novel bacterial species submits a FASTA file of predicted protein sequences. ScienceClaw performs BLAST searches against NCBI, retrieves UniProt annotations, and identifies conserved domains. The system summarizes potential functions, suggesting the organism's role in bioremediation.
A contract research organization (CRO) receives a PDF of a clinical trial report and a CSV of patient biomarker data from a client. ScienceClaw extracts key findings from the PDF, performs statistical analysis on the biomarkers, and cross-references with PubMed literature. The CRO delivers a consolidated report with insights for the client's regulatory submission.
A materials scientist receives a CSV file with SMILES columns representing polymer additives and their properties. The skill processes the data using RDKit for molecular descriptors and PubChem for property prediction. Results help prioritize candidates for further synthesis in a new battery electrolyte formulation.
Offer a tiered subscription to pharmaceutical and biotech companies where users upload experimental files and receive automated analyses with multi-tool integration, including compound screening and literature mining. Revenue from monthly/annual subscriptions and per-analysis fees.
Provide a white-label version of the skill that CROs can integrate into their data analysis pipelines. They pay a licensing fee plus a per-project fee. Revenue from setup fees and royalty on each project analyzed.
Offer free or subsidized access to academic institutions, funded by research grants from organizations like NSF or NIH. The skill is used for collaborative projects, and success cases are published as case studies. Revenue from grant funding and consulting services for private sector spin-offs.
💬 Integration Tip
Start by supporting common file formats (PDF, CSV, FASTA) and integrating core skills like PubChem, BLAST, and RDKit. Provide clear documentation for users to set environment variables and file paths, and offer a dry-run mode for validation before full analysis.
Scored Jun 29, 2026
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