user_evaluate

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Evaluate content for personal relevance to the user using the user model

AI & Automation 77 stars 13 forks Updated today MIT

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Quality Score: 90/100

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Description 5%
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Skill Content

# User Evaluate ## Purpose Evaluate content through the lens of what Genesis knows about the user. The differentiator vs generic AI summary is the user model — Genesis's accumulated understanding of who this person is, what they care about, and what they're working on. Assume everything matters; find HOW it matters. ## When to Use - User drops personal content (articles, research, ideas) into the inbox. - Content is not Genesis-architecture-relevant but matters to the user. - Inbox monitor classifies an item as user-relevant. - User invokes `/user-evaluate` in a foreground session. ## Workflow 1. **Assemble user context** — Read USER.md, query `memory_recall` MCP for topics related to the content, check user_model_cache and recent observations. USER.md is the floor; the memory system is the ceiling. 2. **Fetch content** — If URLs, fetch and read actual content. Never evaluate based on URL text alone. Exhaust all access methods before reporting failure. 3. **Apply four lenses** — Evaluate through all four, do not skip or collapse: - **What This Is** — content-native analysis (argument, evidence, contribution) - **How This Could Help You** — user-model-informed value extraction - **What We Could Do With It** — collaborative actions (Genesis + user) - **What to Watch** — critical assessment (gaps, biases, counterarguments) 4. **Tag (report-only)** — Suggest Action Timeline (Now/Soon/Someday) and Relevance (Direct/Tangential/Background). These are re...

Details

Author
WingedGuardian
Repository
WingedGuardian/GENesis-AGI
Created
2 months ago
Last Updated
today
Language
Python
License
MIT

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