read-personal-data-harvester

read-personal-data-harvester is a Web scraping & data collection skill for AI agents, published by SpaceZephyr in the read-buddy repository on GitHub. Skillspace rates read-personal-data-harvester D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Autonomously collect and structure a user's personal content history from Chinese and international platforms (豆瓣, 小红书, B站, 微信读书, 抖音, Kindle, etc.) using browser automation, local file parsing, and system share-sheet intake. Use this skill whenever the user wants to: build a personal knowledge base from their consumption history, sync reading/watching/collecting records into a local database, set up an automated pipeline to continuously harvest their data from social or reading platforms, or feed their content history into an AI agent for analysis. Trigger even if the user just says "帮我把豆瓣数据导进来", "同步我的读书记录", or "抓取我收藏的内容" — any phrase implying cross-platform personal data ingestion should use this skill.

Grade
D
Quality
64 / 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.

View source on GitHubSpaceZephyr/read-buddy

Our review

Architecture
82 / 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 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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