aminer-daily-paper
aminer-daily-paper is a Literature review & citations skill for AI agents, published by CanXiangCC in the aminer-open-skill repository on GitHub. Skillspace rates aminer-daily-paper B (83/100) and it passed the safety scan; the rating is based on static analysis only.
Personalized academic paper recommendation via AMiner rec5 API. Activate this skill whenever the user asks for paper recommendations, whether triggered by /aminer-dp, /skill aminer-dp, or any natural language request such as 'recommend me papers on multimodal agents'. When invoked: extract topics/scholar signals from the input yourself, call handle_trigger.py with structured fields, then present the Markdown in `reply_text` to the user.
- Grade
- B
- Quality
- 83 / 100
- Safety
- Passed
- GitHub stars
- 52
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
- 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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