multi-source-research
multi-source-research is a Web research & fact-checking skill for AI agents, published by blueif16 in the PiFlow repository on GitHub. Skillspace rates multi-source-research D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Fan out a research query across three source types — Reddit (practitioner sentiment), local YouTube transcript RAG via yt-rag (curated long-form), and Exa web search (semantic crawl) — then synthesize a distilled brief. Use when the user wants the newest/highest-quality information on a topic — vendor diligence, "what's actually working right now," tooling shootouts, technique comparisons, library evaluations, strategy/idea research, "is X dead," "compare X vs Y." Triggers on "research", "find approaches", "what's working", "scan reddit", "scan youtube", "deep dive", "latest on X", "is X dead", "compare X vs Y", "evaluate X."
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 101
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
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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