topic-modeling

topic-modeling is an NLP, speech & audio ML skill for AI agents, published by Drchronx in the ai-agent-research-starter-kit repository on GitHub. Skillspace rates topic-modeling B (81/100) and it passed the safety scan; the rating is based on static analysis only.

Topic modeling workflows for Chinese corpora using LDA, Dynamic Topic Model/DTM, and BERTopic. Use when a user asks Codex to discover topics, train LDA models, compute topic keywords, model topic evolution over time, train DTM, run BERTopic, export document-topic assignments, or create topic visualization outputs from text files or tabular corpora.

Grade
B
Quality
81 / 100
Safety
Passed
GitHub stars
39

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubDrchronx/ai-agent-research-starter-kit

Our review

Architecture
100 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 1 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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