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phil-OKF: any topic, one reading guide
phil-OKF: any topic, one reading guide is an AI agent skill that turns any topic into a single self-contained cited HTML study page.
Phil-OKF is a skill for AI agents that turns any question into a single self-contained HTML study page. The skill uses an eight-step workflow, a domain classifier, a page template, and twelve study domains to research topics and output a minimal, white, research-paper style document where every claim is tagged to a resolving source. It ships in three shapes to reach folders, URLs, or plain text pastes for any chat view or code editor. Built on the Open Knowledge Format, it uses plain Markdown with YAML frontmatter without requiring an SDK or build step. The agent classifies the question, loads only the required files within fixed depth caps, and writes the output in a single file-creation call with strict source policies preventing fabrications.
phil-OKF: any topic, one reading guide at a glance
- Best for: Researcher, Student
- Runs on: Web, API, VS Code, JetBrains, Self-hosted, Open source
- Pricing: Free
- Released: October 2026
- Category: AI research tool
- Website: frypan05.github.io
Key features
- Classifies questions into twelve study domains
- Outputs single self-contained HTML study pages
- Tags every claim to a verified source
- Ships in folder, URL, and paste shapes
- Uses Open Knowledge Format with plain Markdown
- Enforces fixed depth caps and token budgets
- Runs without JavaScript, analytics, or network calls
Use it for
- Turning complex questions into single study pages
- Researching topics with strict source citation rules
- Generating minimal research-paper style explainers
- Running AI agent research workflows inside code editors
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