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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.