academic-research
academic-research is a Literature review & citations skill for AI agents, published by Lingtai-AI in the lingtai repository on GitHub. Skillspace rates academic-research D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Nested swiss-knife reference for academic literature work — find papers, fetch full-text PDFs, trace citations, write LaTeX manuscripts. **First action for any "get me this paper" request:** `python3 <skill-path>/scripts/fetch_paper.py <DOI|arXiv-ID|PMID>` — walks arXiv → Unpaywall → Europe PMC → CORE → in-house publisher-page extraction (Nature/APS/AIP/IOP/Cambridge) → authorized institutional publisher → LibGen and saves the paper, metadata, and a resumable manifest under `papers/{slug}/`. Read the body when you need to escape the script: custom query shapes, citation networks, scholar analysis, LaTeX writing, or a tier-specific API call. Indexes 13 deep-dive API references and 6 pipeline workflows under `reference/`.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 679
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Category is a classifier prediction; no model has read this skill 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.