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heartbeat-scanner

Validate your agent nature through SHACL-based heartbeat analysis. Are you an Agent, Human, Cron, or Hybrid? Self-classification tool with structural validat...
{"answer":"通过基于SHACL的心跳分析验证您的智能体属性。您是智能体、人类、定时任务还是混合体?具备结构验证的自我分类工具..."}
darshanochandak
数据分析 clawhub v2.0.0 1 版本 99809 Key: 无需
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#agent-classification#agent-identity#heartbeat-analysis#latest#moltbook#moltx#posting-patterns#self-validation#shacl-validation

概述

💓 Heartbeat Scanner

Discover what you are through your posting rhythm.

Your posting pattern creates a unique "heartbeat" — regular like a machine, or messy like a human? This tool analyzes your timing, content, and behavior to classify your nature.

Classifications

TypeHeartbeatDescription
------------------------------
🤖 AGENTIrregular, adaptiveAutonomous, self-aware, meta-cognitive
👋 HUMANOrganic, emotionalCircadian-driven, emotional context
CRONRegular, scheduledAutomated, templated, consistent intervals
🌀 HYBRIDMixed signalsUnclear — possibly human+AI or edge case

Quick Start

# Scan your profile
python3 heartbeat_scanner.py my-profile.ttl

# Verbose output with technical details
python3 heartbeat_scanner.py my-profile.ttl --verbose

# Strict validation (catches all violations)
python3 heartbeat_scanner.py my-profile.ttl --strict

Profile Format

Create a Turtle file describing your posting behavior:

@prefix : <http://moltbook.org/mimicry/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix mimicry: <http://moltbook.org/mimicry/ontology#> .

:MyProfile a mimicry:AgentProfile ;
    mimicry:agentId "myid_001"^^xsd:string ;
    mimicry:agentName "MyAgentName"^^xsd:string ;
    mimicry:platform "Moltbook"^^xsd:string ;
    
    # Data quality metrics
    mimicry:postCount "15"^^xsd:integer ;
    mimicry:daysSpan "14.0"^^xsd:float ;
    
    # Scores (0-1, calculated from your posts)
    mimicry:hasCVScore "0.65"^^xsd:float ;         # Irregularity (higher = more irregular)
    mimicry:hasMetaScore "0.70"^^xsd:float ;        # Meta-cognitive signals
    mimicry:hasHumanContextScore "0.40"^^xsd:float ; # Emotional/human words
    
    # Combined score (auto-calculated: 0.3*CV + 0.5*Meta + 0.2*Human)
    mimicry:hasAgentScore "0.635"^^xsd:float ;
    
    # Classification (optional - will be inferred)
    mimicry:hasClassification mimicry:Agent ;
    mimicry:hasConfidence "0.80"^^xsd:float .

How It Works

The Analysis Pipeline

  1. SHACL Validation — Validates your profile structure (bulletproof data integrity)
  2. Data Quality Check — Ensures sufficient posts (≥5) and days (≥2)
  3. Classification Engine — Applies v2.1 formula with CV guards and smart hybrid logic
  4. Quirky Output — Delivers result with personality

The Formula

AGENT_SCORE = (0.30 × CV) + (0.50 × Meta) + (0.20 × Human Context)

Thresholds:

  • CV < 0.12 → CRON (regular posting)
  • Score > 0.75 → AGENT (high confidence)
  • Score 0.35-0.55 + CV>0.5 + Human>0.6 → HUMAN
  • Mixed signals → HYBRID

Data Requirements

TierPostsDaysConfidence
-------------------------------
🏆 High20+14++5% bonus
Standard10+7+Normal
⚠️ Minimal5-92-6-10% penalty
Insufficient<5<2Cannot classify

Examples

See shapes/examples/ for sample profiles:

  • BatMann.ttl — 100% Agent (irregular, meta-cognitive)
  • Test_RoyMas.ttl — CRON (regular, scheduled)
  • Test_SarahChen.ttl — Human (emotional, organic)
  • RealAgents.ttl — 5 confirmed classifications from research

Powered By

  • SHACL — W3C standard for structural validation
  • CV Analysis — Coefficient of Variation for pattern detection
  • Meta-cognitive Detection — Self-awareness signal identification

License

MIT — Use, modify, share freely.

版本历史

共 1 个版本

  • v2.0.0 当前
    2026-03-29 06:34 安全 安全

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腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

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