Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Security & Compliance
AI Compliance Readiness Assessment
AI Compliance Readiness Assessment — evaluate how prepared an organization is for AI governance regulations (EU AI Act, NIST AI RMF, HHS mandates, state bar...
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AI Compliance Readiness Assessment — evaluate how prepared an organization is for AI governance regulations (EU AI Act, NIST AI RMF, HHS mandates, state bar...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- 1kalin
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
Industry (legal, healthcare, financial-services, insurance, construction, manufacturing, government, other) Company size (employees or revenue range) AI systems in use (list: chatbots, document review, fraud detection, hiring tools, customer service, analytics, other) 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
Risk Classification — Have you categorized AI systems by risk level per EU AI Act / NIST? Documentation — Technical docs, model cards, data lineage for each AI system? Human Oversight — Defined human-in-the-loop processes for high-risk decisions? Bias & Fairness — Regular bias audits, fairness metrics, disparate impact testing? Data Governance — Training data provenance, consent, retention, and deletion policies? Incident Response — AI-specific incident playbook, reporting procedures, rollback plans? Vendor Management — AI vendor risk assessments, contractual AI governance requirements? 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: Executive Summary — Overall score, risk level, top 3 gaps Dimension Scores — Table with score, evidence, and gap description per dimension 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)
Category context
Identity, auth, scanning, governance, audit, and operational guardrails.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md