medium-research
medium-research is a Web research & fact-checking skill for AI agents, published by Vesely in the skills repository on GitHub. Skillspace rates medium-research C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Two-phase research workflow for Medium articles. Phase 1 discovers candidates via RSS tag feeds plus DuckDuckGo content search; Phase 2 spawns one subagent per selected article to fetch full content through the Freedium mirror (paywall bypass) and return a structured digest. Use whenever the user wants to research a topic on Medium, surface trending or recent articles, pull full text from member-only Medium posts, or build a reading list. Triggers include "/medium-research <topic>", "research medium <topic>", "medium research", "find medium articles about X", "what's trending on medium about X". The user has paid Medium membership and treats Freedium use as acceptable for personal research. Do not invoke for non-Medium research (use /last30days for cross-platform).
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 27
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
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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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