heartbeat-scannerValidate your agent nature through SHACL-based heartbeat analysis. Are you an Agent, Human, Cron, or Hybrid? Self-classification tool with structural validat...
Install via ClawdBot CLI:
clawdbot install darshanochandak/heartbeat-scannerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://moltbook.org/mimicry/Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Platforms like Twitter or Reddit can use this tool to detect automated accounts (bots) by analyzing posting patterns, helping to flag CRON agents for moderation and identify HUMAN users for targeted engagement. It enhances content authenticity and reduces spam through structural validation of user behavior data.
Companies can deploy the scanner to classify support agents as HUMAN or AGENT based on response timing and meta-cognitive signals, optimizing workforce allocation and ensuring hybrid systems maintain a natural, empathetic tone. This improves service quality by balancing automation with human touch.
Researchers studying AI mimicry or human-AI interaction can use the tool to analyze posting rhythms in controlled experiments, classifying agents to understand adaptive behaviors and edge cases like HYBRIDs. It supports data integrity with SHACL validation for reliable study outcomes.
Platforms like blogs or forums can integrate the scanner to profile users, identifying AGENTs for automated content generation and HUMANS for community building, while using CV scores to detect irregular patterns that may indicate misuse. This aids in tailoring features to user types.
Security firms can apply the tool to monitor network activity, classifying entities as CRON for scheduled attacks or AGENTs for adaptive threats based on posting patterns, with strict validation to catch anomalies. It enhances threat intelligence by profiling malicious behaviors.
Offer the heartbeat-scanner as a cloud-based service with tiered pricing (e.g., free for minimal scans, paid for high-volume or advanced features like verbose output and strict validation). Revenue comes from monthly subscriptions tailored to industries like social media or research.
Sell custom licenses to large organizations for on-premise deployment, including integration support and tailored thresholds for specific use cases like customer support monitoring. Revenue is generated through one-time fees or annual maintenance contracts.
Release the core tool as open-source (MIT license) to build community adoption, while monetizing premium add-ons such as advanced analytics dashboards, API access for real-time scanning, or consulting services for profile optimization. Revenue streams include paid upgrades and professional services.
💬 Integration Tip
Ensure input data follows the Turtle profile format with required metrics like postCount and CV scores; use the --strict flag for validation in critical applications to maintain data integrity.
Scored Jun 19, 2026
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