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AI Compliance Readiness Assessment

作者 1kalin · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install compliance-readiness
功能描述
AI Compliance Readiness Assessment — evaluate how prepared an organization is for AI governance regulations (EU AI Act, NIST AI RMF, HHS mandates, state bar...
使用说明 (SKILL.md)

AI Compliance Readiness Assessment

Evaluate organizational readiness for AI governance regulations and generate an actionable compliance roadmap.

When to Use

  • Assessing AI compliance posture before an audit
  • Preparing for EU AI Act (Aug 2026), HHS AI mandates, NIST AI RMF
  • Building a governance roadmap for AI deployments
  • Evaluating risk exposure from current AI usage

How to Use

When asked to assess AI compliance readiness, gather these inputs:

Required Inputs

  1. Industry (legal, healthcare, financial-services, insurance, construction, manufacturing, government, other)
  2. Company size (employees or revenue range)
  3. AI systems in use (list: chatbots, document review, fraud detection, hiring tools, customer service, analytics, other)
  4. Jurisdictions (US-only, EU-exposed, both, global)

Optional Inputs

  • Current governance framework (if any)
  • Upcoming audit dates
  • Existing compliance certifications (SOC2, ISO 27001, HIPAA, etc.)
  • Number of AI vendors/tools in use

Assessment Framework

Score each dimension 1-5 (1=no controls, 5=mature):

8 Dimensions

  1. Risk Classification — Have you categorized AI systems by risk level per EU AI Act / NIST?
  2. Documentation — Technical docs, model cards, data lineage for each AI system?
  3. Human Oversight — Defined human-in-the-loop processes for high-risk decisions?
  4. Bias & Fairness — Regular bias audits, fairness metrics, disparate impact testing?
  5. Data Governance — Training data provenance, consent, retention, and deletion policies?
  6. Incident Response — AI-specific incident playbook, reporting procedures, rollback plans?
  7. Vendor Management — AI vendor risk assessments, contractual AI governance requirements?
  8. Audit Trail — Logging, explainability, decision traceability for AI-assisted outputs?

Scoring

  • 35-40: Compliance-ready — minor gaps to address
  • 25-34: Partially prepared — significant work needed in specific areas
  • 15-24: High risk — major gaps across multiple dimensions
  • 8-14: Critical — immediate action required before any regulatory review

Output Format

Generate a report with:

  1. Executive Summary — Overall score, risk level, top 3 gaps
  2. Dimension Scores — Table with score, evidence, and gap description per dimension
  3. Regulatory Exposure — Which regulations apply and key deadlines:
    • EU AI Act: Aug 2, 2026 (high-risk system requirements)
    • HHS AI Transparency: April 3, 2026 (healthcare)
    • NIST AI RMF: Ongoing (federal contractors + best practice)
    • State bar AI rules: Varies (legal industry)
安全使用建议
This skill is an instruction-only assessment checklist and appears coherent for producing an AI compliance readiness report. Before using it: (1) verify the regulatory dates and jurisdictional applicability it lists (the SKILL.md includes specific deadlines that you should confirm against authoritative sources), (2) avoid pasting secrets or unnecessary sensitive data — only provide the organizational inputs requested (industry, systems, jurisdictions, governance posture), (3) note the skill's source/homepage is unknown; treat outputs as advisory and validate recommendations with your legal/compliance team, and (4) test the skill with sanitized or non-sensitive example data before running it on real internal information.
功能分析
Type: OpenClaw Skill Name: compliance-readiness Version: 1.0.0 The skill bundle contains standard metadata (_meta.json) and a SKILL.md file that provides clear, task-specific instructions for an AI agent to perform an AI compliance readiness assessment. There are no indicators of prompt injection, data exfiltration, malicious execution, persistence, or obfuscation. All content is aligned with the stated purpose of evaluating AI governance readiness.
能力评估
Purpose & Capability
Name/description (AI compliance readiness) match the SKILL.md: it asks for company/industry, AI systems, jurisdictions and outputs a scored report and action plan. There are no unrelated dependencies, credentials, or binaries requested.
Instruction Scope
The runtime instructions ask the agent to collect user-supplied organizational inputs and produce a structured report. They do not instruct reading system files, environment variables, contacting third-party endpoints, or exfiltrating data beyond the user-provided inputs.
Install Mechanism
No install spec and no code files — instruction-only. Nothing will be written to disk or installed by the skill itself.
Credentials
The skill requests no environment variables, credentials, or configuration paths. Inputs are user-supplied organizational information, which is appropriate for the stated function.
Persistence & Privilege
always is false and there are no install steps that alter agent or system configuration. The skill can be invoked by the model (normal default), but it does not request persistent privileges or modify other skills' settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install compliance-readiness
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /compliance-readiness 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: EU AI Act, NIST, HHS readiness scoring
元数据
Slug compliance-readiness
版本 1.0.0
许可证
累计安装 3
当前安装数 3
历史版本数 1
常见问题

AI Compliance Readiness Assessment 是什么?

AI Compliance Readiness Assessment — evaluate how prepared an organization is for AI governance regulations (EU AI Act, NIST AI RMF, HHS mandates, state bar... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 573 次。

如何安装 AI Compliance Readiness Assessment?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install compliance-readiness」即可一键安装,无需额外配置。

AI Compliance Readiness Assessment 是免费的吗?

是的,AI Compliance Readiness Assessment 完全免费(开源免费),可自由下载、安装和使用。

AI Compliance Readiness Assessment 支持哪些平台?

AI Compliance Readiness Assessment 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 AI Compliance Readiness Assessment?

由 1kalin(@1kalin)开发并维护,当前版本 v1.0.0。

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