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haic-convention海克会议

Agent Skill

haic-convention 用于处理音频、语音、转写和声音素材相关任务,适合在 OpenClaw 中需要整理音频流程、转写内容或生成配音素材时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,175

周安装

135

GitHub Stars

公开资料未说明

下载量

1,112
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:haic-convention(海克会议)
来源仓库:https://github.com/humanaiconvention/haic-convention
安装命令:
openclaw skills install haic-convention
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install haic-convention

简介

haic-convention 用于提交 HumanAI 大会面试笔录并获取 Merkle 收据。

  • 适用于参与学术活动、验证身份凭证或归档会议记录的正式流程。
  • 集成基础评分机制,辅助校准参与者资质与表现。
  • 涉及敏感信息提交时应严格遵循平台安全协议与数据保护要求。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

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
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

  1. GFS Profile (6 dimensions): emotional grounding, attribution clarity,

hedging handling, phrase echo avoidance, topic coherence, depth calibration

  1. 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:

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

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能力 3

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

93.25%
按下载量换算1,037

安全审计

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权限和风险

需要联网

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安装前确认

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