papers-query-knowledge-base
papers-query-knowledge-base is a Literature review & citations skill for AI agents, published by RipeMangoBox in the BITE repository on GitHub. Skillspace rates papers-query-knowledge-base C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Queries the local `obsidian-vault/analysis/` notes for research. Finds papers by title, task path, technique tags, venue, or year; summarizes methods and evidence across papers; cites core_operator and primary_logic from analysis frontmatter. When present, `obsidian-vault/index/index.jsonl` serves as the fast filter layer and `obsidian-vault/index/` pages serve navigation and backlink exploration.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 60
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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