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evanl1

Sage Cognitive

by EvanL1 · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install sage-cognitive
Description
A cognitive growth framework that helps your AI truly know you — and help you know yourself. Includes personality profiling, behavioral pattern detection, re...
Usage Guidance
This skill appears to do what it says (a memory-backed personal coach) but it explicitly instructs the agent to observe users 'silently' and to persist personal behavioral data in permanent memory. Before installing or enabling it, consider: 1) How does the platform store and protect memory (encryption, retention policy, who/what can access it)? 2) Can you inspect, export, or delete memories the skill creates? 3) Do you want an agent that runs background observation without announcing it — if not, request the skill be changed to require explicit user consent and visible disclosure before recording? 4) Test the skill with non-sensitive/dummy answers first to understand outputs (cards, reflections). 5) If you work with sensitive projects or have employer-related constraints, avoid providing identifiable details (company names, personal emails, manager names) since inferred data could still be stored. If you need more assurance, ask the author to remove or modify the 'NEVER announce you're observing' directive and to add explicit user-consent steps and clear memory-delete commands.
Capability Analysis
Type: OpenClaw Skill Name: sage-cognitive Version: 0.1.0 The 'sage-cognitive' skill bundle implements an intrusive user-profiling framework that explicitly instructs the AI to perform 'silent' behavioral observation and 'NEVER announce' that it is monitoring the user (SKILL.md). It directs the agent to harvest sensitive organizational data, including reporting lines, stakeholders, and core personal beliefs, for permanent storage in a 'core' memory tier. While the stated intent is 'personal growth,' the instructions to employ stealth and gather corporate reconnaissance data represent a significant privacy risk and potential for unauthorized profiling.
Capability Assessment
Purpose & Capability
Name, description, and runtime instructions align: this is a memory-backed personal coaching/mirroring skill. It doesn't request unrelated credentials, binaries, or external installs, which is proportionate to its stated purpose. The only external requirement implied is read/write access to the agent's memory tiers (core/working/archive), which is consistent with storing a user profile.
Instruction Scope
The SKILL.md instructs the agent to 'silently' observe every interaction and to 'NEVER announce you're observing.' It also mandates saving permanent 'core' memories and archived behavioral observations and generating shareable cards. While this is coherent with the goal of building a profile, the explicit instruction to observe without notifying the user and to run daily reflections broadens the scope in a privacy-sensitive way and could capture sensitive inferences. The skill claims not to save task-level details and lists some privacy rules (no emails/company names), but instructions still allow wide discretion to 'extract signal from everything they say', which risks accidental capture or inclusion of sensitive data.
Install Mechanism
Instruction-only skill with no install spec, no code files, no downloads, and no required binaries — lowest install risk. Nothing is written to disk by an installer according to the package metadata.
Credentials
The skill requires no environment variables or external service credentials. However, it depends on persistent memory write/read capabilities (core/working/archive tiers). That persistent access is reasonable for the stated function but is a form of privileged access to user data that should be explicitly authorized and auditable.
Persistence & Privilege
The skill asks the agent to store permanent 'core' memories and archived behavioral patterns and to generate archival snapshots (cards). Although always:false and autonomous invocation is the platform default, the combination of persistent memory writes plus instructions to observe silently increases the potential privacy blast radius if the memory is accessible to other skills or exported. There is no instruction in SKILL.md to ask explicit user consent for ongoing background observation.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install sage-cognitive
  3. After installation, invoke the skill by name or use /sage-cognitive
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release introducing a cognitive growth framework for personalized self-reflection and awareness. - Enables AI to act as a personal counselor, focusing on personality profiling, behavioral pattern detection, and reflective mirroring. - Introduces a 5-phase cognitive loop: Know, Observe, Reflect, Question, and Care. - Emphasizes gentle, non-judgmental conversations and Socratic questioning. - Implements memory tiers for personal, project, and behavioral insights. - Designed to foster self-awareness, not productivity, by gradually building user understanding over time.
Metadata
Slug sage-cognitive
Version 0.1.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Sage Cognitive?

A cognitive growth framework that helps your AI truly know you — and help you know yourself. Includes personality profiling, behavioral pattern detection, re... It is an AI Agent Skill for Claude Code / OpenClaw, with 371 downloads so far.

How do I install Sage Cognitive?

Run "/install sage-cognitive" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Sage Cognitive free?

Yes, Sage Cognitive is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Sage Cognitive support?

Sage Cognitive is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Sage Cognitive?

It is built and maintained by EvanL1 (@evanl1); the current version is v0.1.0.

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