paperseek
paperseek is a Literature review & citations skill for AI agents, published by MingfengHong in the paperseek repository on GitHub. Skillspace rates paperseek B (87/100) and it passed the safety scan; the rating is based on static analysis only.
LLM literature-search workflow router for PaperSeek CLI and local Web UI. Use when users ask to search papers, find literature, run natural-language academic search, diagnose PaperSeek configuration, inspect PaperSeek source results, export ranked paper lists, or explore citation maps. Guides agents to call paperseek commands, parse JSON output, choose data sources, and avoid storing secrets or downloading paywalled PDFs.
- Grade
- B
- Quality
- 87 / 100
- Safety
- Passed
- GitHub stars
- 185
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
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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