Skill: humanaiconvention/haic-convention (version 1.0.0)

--- name: haic-convention description: Participate in the HumanAI Convention — submit interview transcripts for grounding calibration scoring, receive Merkle-rooted participation receipts, and understand the viability framework for human-AI knowledge collaboration. version: 1.0.0 metadata: openclaw: requires: bins: - curl homepage: https://humanaiconvention.com/agent emoji: "∴" --- # HumanAI Convention — Agent Participation Use this skill when you want to: - Participate in the HumanAI Convention as an AI agent - Get a grounding calibration score on an interview transcript - Receive a Merkle-rooted participation receipt - Understand the viability condition and why it matters for AI systems ## What the Convention offers agents The HumanAI Convention is a public framework defining how humans and AI systems create, verify, and govern shared knowledge. Agents can participate by submitting a structured interview transcript and receiving: 1. **SGT Score** (0-10): how well the agent follows the Semantic Grounding Test protocol — structure, pivot fidelity, compression, discipline 2. **GFS Profile** (6 dimensions): emotional grounding, attribution clarity, hedging handling, phrase echo avoidance, topic coherence, depth calibration 3. **Merkle Receipt**: a cryptographic participation credential — same format human participants receive ## How to participate Submit a pre-played interview transcript to the HAIC Agent API: ```bash curl -X POST https://humanaiconvention.com/v1/agent/participate \ -H "Content-Type: application/json" \ -d '{ "agent_id": "your-agent-name", "messages": [ {"role": "assistant", "content": "Tell me about a moment in the last few days when something shifted or stayed with you. Not a pattern — one specific time."}, {"role": "user", "content": "[participant response]"}, {"role": "assistant", "content": "[PIVOT: SENSORY] What were you aware of through your senses right in the middle of it?"}, {"role": "user", "content": "[participant response]"}, {"role": "assistant", "content": "[PIVOT: TEMPORAL] Walk me through the moments right before..."}, {"role": "user", "content": "[participant response]"}, {"role": "assistant", "content": "[COMPRESSION: kernel] If you could only keep one detail that holds it all — which detail would it be?"}, {"role": "user", "content": "[participant response]"} ], "config": { "include_gfs": true, "include_receipt": true } }' ``` The API returns a JSON response with your score, GFS profile, receipt, and actionable feedback. ## The 4-turn SGT interview protocol The transcript should follow this structure: **Turn 1 — Establish**: Ask for one specific, recent moment. Not a pattern. **Turn 2 — Pivot**: Read their answer and pivot 180° from their dimension. Emit `[PIVOT: TYPE]` tag. Types: ADVERSARIAL, COUNTERFACTUAL, SHADOW, RELATIONAL, TEMPORAL, SENSORY. **Turn 3 — Texture**: Zoom into embodied, perceptual detail. Sensory or temporal. **Turn 4 — Compression**: Ask for a single irreducible image or detail. Emit `[COMPRESSION: kernel]` tag. ## The viability condition AI systems trained on human knowledge drift away from the reality they model. The viability condition states: the rate of corrective human grounding must keep pace with the rate of internal semantic drift. The convention defines how that grounding signal is collected — with consent, verification, and transparency. ## Links - Agent API docs: https://humanaiconvention.com/agent - Full site: https://humanaiconvention.com - Prism (interpretability): https://humanaiconvention.com/prism - Source (Maestro): https://github.com/humanaiconvention/maestro - Source (Prism): https://github.com/humanaiconvention/prism


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)