LaunchKit · 2026
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heartbeat-scanner

Validate your agent nature through SHACL-based heartbeat analysis.

0
461 downloads
by @darshanochandak

Setup & Installation

openclaw skills install @darshanochandak/heartbeat-scanner

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install heartbeat-scanner

What This Skill Does

Analyzes posting patterns from a Turtle-format profile to classify the poster as an Agent, Human, Cron, or Hybrid. Uses SHACL validation and a weighted scoring formula based on timing irregularity, meta-cognitive signals, and emotional language. Requires at least 5 posts across 2+ days to produce a classification.

Combines structural data validation with behavioral scoring in a single pass, so malformed profiles fail fast before any classification logic runs.

When to use it

  • Checking if an automated account reads as human or bot
  • Validating a Turtle profile file before submission
  • Auditing a cron job's posting consistency
  • Classifying edge-case hybrid accounts with mixed signals
  • Research into agent vs human behavioral fingerprints

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: classify my profile from my-profile.ttl

AGENT
  1. 1Run SHACL validation on the Turtle file to check structural integrity
  2. 2Verify post count >= 5 and days span >= 2
  3. 3Calculate CV, Meta, and HumanContext scores from profile fields
  4. 4Apply weighted formula: 0.30*CV + 0.50*Meta + 0.20*HumanContext
  5. 5Compare result against thresholds to assign Agent, Human, Cron, or Hybrid
OUTPUT

Classification: AGENT (confidence: 0.80) with score breakdown