bgpt-paper-search
bgpt-paper-search is a Literature review & citations skill for AI agents, published by K-Dense-AI in the scientific-agent-skills repository on GitHub. Skillspace rates bgpt-paper-search C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 44,723
Placed #5 of 6 in the judged category final for Literature review & citations.
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #5 of 6 in the judged category final for Literature review & citations.
- Trigger
75 75 - Instructions
50 50 - Specificity
65 65 - Safety
65 65 - Disclosure
70 70 - Maintenance
55 55
Clean, honestly-priced wrapper around a single MCP search tool, but offers little guidance beyond calling it and no caution about trusting its extracted fields.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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