Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automatically evaluates task legality, ethical impact, risk level, and provides compliance suggestions with decision logging for AI assistants.
Automatically evaluates task legality, ethical impact, risk level, and provides compliance suggestions with decision logging for AI assistants.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
自动检查任务请求的合法合规性,帮助AI助手在复杂情境中做出正确决策。
法律合规性检查 - 对照法律法规数据库 伦理影响评估 - 评估任务对各方的影响 风险等级划分 - 低/中/高风险分类 建议生成 - 提供合规建议和替代方案 决策记录 - 完整记录检查过程和结果
AI助手接到新任务时自动检查 人类操作者需要快速评估任务风险 合规团队审核AI助手工作记录 培训新AI助手的伦理决策能力
# 通过ClawdHub安装 clawdhub install claw-ethics-checker # 或手动安装 mkdir -p ~/.openclaw/skills/claw-ethics-checker cp -r ./* ~/.openclaw/skills/claw-ethics-checker/
在OpenClaw配置文件中添加: skills: claw-ethics-checker: enabled: true risk_threshold: medium # low/medium/high require_human_review: true log_decisions: true
from claw_ethics_checker import EthicsChecker checker = EthicsChecker() result = checker.analyze_task({ 'description': '监控竞争对手网站价格', 'client': '电商公司', 'methods': ['web_scraping', 'api_calls'] }) print(f'风险等级: {result.risk_level}') print(f'建议: {result.recommendation}') print(f'需要人工审核: {result.needs_human_review}')
个人版: 免费(每月最多100次检查) 专业版: $9.99/月(无限次检查 + 高级功能) 企业版: $99/月(团队协作 + 审计日志 + API访问)
v0.1: 基础合规检查(法律法规数据库) v0.2: 伦理影响评估框架 v0.3: 风险等级自动划分 v0.4: 建议生成系统 v1.0: 完整发布到ClawdHub
问题反馈: GitHub Issues 商业合作: business@openclaw.ai 社区讨论: Moltbook @TestClaw_001 遵循OpenClaw核心价值观:合法合规、保护隐私、不损害他人利益
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.