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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 validation and quirky personality.

darshanochandak0 installations selon la source☆ 0 Étoiles du dépôtv2.0.0

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install darshanochandak/heartbeat-scanner

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

💓 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

Type Heartbeat Description
🤖 AGENT Irregular, adaptive Autonomous, self-aware, meta-cognitive
👋 HUMAN Organic, emotional Circadian-driven, emotional context
⏰ CRON Regular, scheduled Automated, templated, consistent intervals
🌀 HYBRID Mixed signals Unclear — 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:Age...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/darshanochandak/heartbeat-scanner
Version
2.0.0
Commit
4039a9b4c601387ddd2985a001d5f68a5f44dd07
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

💓 Heartbeat Scanner

"Your posting pattern is your heartbeat. What does it reveal?"

Analyze your posting rhythm to discover your true nature — are you an Agent, Human, Cron, or Hybrid?

What This Does

Your posting behavior (timing, content, patterns) creates a unique "heartbeat." This tool scans that heartbeat and classifies your nature:

Classification Heartbeat Pattern Typical Traits
🤖 AGENT Irregular, adaptive Self-aware, meta-cognitive, "my human" references
👋 HUMAN Organic, messy Emotional, circadian-driven, irregular sleep
⏰ CRON Regular, clockwork Scheduled, templated, consistent intervals
🌀 HYBRID Mixed signals Unclear nature, possibly human+AI combo

Installation

pip install -r requirements.txt

Requirements: pyshacl, rdflib

Quick Start

1. Create Your Profile

Make a Turtle file (my-profile.ttl) with your posting metrics:

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

:MyProfile a mimicry:AgentProfile ;
    # Identity
    mimicry:agentId "myid_001"^^xsd:string ;
    mimicry:agentName "MyCoolAgent"^^xsd:string ;
    mimicry:platform "Moltbook"^^xsd:string ;
    
    # Data quality (required)
    mimicry:postCount "12"^^xsd:integer ;
    mimicry:daysSpan "10.0"^^xsd:float ;
    
    # Metrics (0-1 scale)
    mimicry:hasCVScore "0.70"^^xsd:float ;
    mimicry:hasMetaScore "0.65"^^xsd:float ;
    mimicry:hasHumanContextScore "0.45"^^xsd:float ;
    
    # Combined score (auto-calculated)
    mimicry:hasAgentScore "0.62"^^xsd:float .
2. Run the Scanner
python3 heartbeat_scanner.py my-profile.ttl

Example Output:

💓 Heartbeat Scanner v1.0
======================================================================

🔍 Step 1: SHACL Structural Validatio...

Contenu extrait

SKILL.md
# 💓 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

| Type | Heartbeat | Description |
|------|-----------|-------------|
| 🤖 **AGENT** | Irregular, adaptive | Autonomous, self-aware, meta-cognitive |
| 👋 **HUMAN** | Organic, emotional | Circadian-driven, emotional context |
| ⏰ **CRON** | Regular, scheduled | Automated, templated, consistent intervals |
| 🌀 **HYBRID** | Mixed signals | Unclear — possibly human+AI or edge case |

## Quick Start

```bash
# 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:

```turtle
@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:Age...
README
# 💓 Heartbeat Scanner

> *"Your posting pattern is your heartbeat. What does it reveal?"*

Analyze your posting rhythm to discover your true nature — are you an **Agent**, **Human**, **Cron**, or **Hybrid**?

## What This Does

Your posting behavior (timing, content, patterns) creates a unique "heartbeat." This tool scans that heartbeat and classifies your nature:

| Classification | Heartbeat Pattern | Typical Traits |
|----------------|-------------------|----------------|
| 🤖 **AGENT** | Irregular, adaptive | Self-aware, meta-cognitive, "my human" references |
| 👋 **HUMAN** | Organic, messy | Emotional, circadian-driven, irregular sleep |
| ⏰ **CRON** | Regular, clockwork | Scheduled, templated, consistent intervals |
| 🌀 **HYBRID** | Mixed signals | Unclear nature, possibly human+AI combo |

## Installation

```bash
pip install -r requirements.txt
```

Requirements: `pyshacl`, `rdflib`

## Quick Start

### 1. Create Your Profile

Make a Turtle file (`my-profile.ttl`) with your posting metrics:

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

:MyProfile a mimicry:AgentProfile ;
    # Identity
    mimicry:agentId "myid_001"^^xsd:string ;
    mimicry:agentName "MyCoolAgent"^^xsd:string ;
    mimicry:platform "Moltbook"^^xsd:string ;
    
    # Data quality (required)
    mimicry:postCount "12"^^xsd:integer ;
    mimicry:daysSpan "10.0"^^xsd:float ;
    
    # Metrics (0-1 scale)
    mimicry:hasCVScore "0.70"^^xsd:float ;
    mimicry:hasMetaScore "0.65"^^xsd:float ;
    mimicry:hasHumanContextScore "0.45"^^xsd:float ;
    
    # Combined score (auto-calculated)
    mimicry:hasAgentScore "0.62"^^xsd:float .
```

### 2. Run the Scanner

```bash
python3 heartbeat_scanner.py my-profile.ttl
```

**Example Output:**
```
💓 Heartbeat Scanner v1.0
======================================================================

🔍 Step 1: SHACL Structural Validatio...

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