Skillget

genpark-personal-agent-dopamine-reset-stimulus-tolerance-skill

mcp
Security Audit
Warn
Health Warn
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 7 GitHub stars
Code Pass
  • Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested

No AI report is available for this listing yet.

SUMMARY

Quantifies supernormal stimulus overload (feeds, games, junk food), models striatal D2 receptor down-regulation, and prescribes structured dopamine reset protocols.

README.md

Personal Agent Dopamine Reset Stimulus Tolerance Skill

OpenClaw Ecosystem
Dual-Org Sync
Zero Dependencies
Model Context Protocol
Production Grade

Zero-dependency hedonic tolerance estimator, striatal D2 receptor down-regulation modeler, and structured digital/sensory dopamine reset protocol synthesizer.

Architecture

flowchart TD
    Exposures[Daily Feeds, Food, Gaming, Stimulants] --> ToleranceEngine[Hedonic Tolerance Auditor]
    ToleranceEngine --> D2Model[Striatal D2 Receptor Down-Regulation Model]
    D2Model --> EffortPenalty[Cognitive Effort Multiplier: 1.0x - 3.0x]
    EffortPenalty --> ResetPlanner[Structured Phased Reset Synthesizer]
    ResetPlanner --> Protocols[Sensory Blackout & Restorative Analog Schedule]

Quickstart

from client import PersonalAgentDopamineResetStimulusTolerance

agent = PersonalAgentDopamineResetStimulusTolerance()
res = agent.calculate_hedonic_tolerance([{"type": "short_video_feed", "duration_minutes": 60.0, "intensity": 8.0}])
print(f"D2 Availability: {res['estimated_d2_receptor_availability']} | Effort: {res['perceived_cognitive_effort_multiplier']}")

Reviews (0)

No results found