scholar-init

scholar-init is a Code generation & scaffolding skill for AI agents, published by joshzyj in the open-scholar-skill repository on GitHub. Skillspace rates scholar-init F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.

Initialize a new research project directory for open-scholar-skill. Creates the standard layout (data/raw, data/interim, data/processed, materials, output, .claude, logs), copies or symlinks raw files and materials into place, runs a local safety scan on every ingested file, and writes .claude/safety-status.json so the PreToolUse guard knows which files Claude may Read. Four modes: (1) init — create a fresh project from a slug and file list; (2) review — walk through NEEDS_REVIEW entries interactively and resolve each to CLEARED/LOCAL_MODE/ANONYMIZED/OVERRIDE/HALTED with logged rationale; (3) add — ingest new files into an existing project without rebuilding; (4) status — print the current state of .claude/safety-status.json and logs/init-report.md. Invoke before any data-touching scholar-* skill on a new dataset.

Grade

F

Quality

45 / 100

Safety

Risky

GitHub stars

102

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

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