local-paper-index
local-paper-index is a RAG & retrieval skill for AI agents, published by allenai in the asta-plugins repository on GitHub. Skillspace rates local-paper-index C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Build a searchable Asta document index from a collection of local PDF files. Use when the user asks to "index these PDFs", "put these PDFs into an Asta index", "index these PDFs using Asta", "build a local paper index", "make these PDFs searchable", or "create an index from these papers".
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 20
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, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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