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AlsKozlov
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ai-inventory

Inventory AI systems across an organization with Russian regulatory compliance metadata.

17|4|Updated May 25, 2026
Search Tags:#risk-management#regulatory-compliance#ai-governance#vendor-assessment#152-fz#ai-inventory#shadow-ai
One-click install
npx skills add https://github.com/AlsKozlov/ru-legal --skill ai-inventory-alskozlov
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-inventory
Source: https://github.com/AlsKozlov/ru-legal/tree/main/packs/ai-governance/skills/ai-inventory
Command: npx skills add https://github.com/AlsKozlov/ru-legal --skill ai-inventory-alskozlov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Russian organizations often lack full visibility into all AI systems deployed across departments, leading to unaddressed 152-FZ compliance gaps, unmanaged AI-related risks, and unaccounted shadow AI usage that can expose personal data and trigger regulatory penalties.

Core Features & Use Cases

  • Cross-department AI discovery: Identifies all AI tools used across productivity, customer support, HR, finance, engineering, and other business units, including hidden shadow AI tools used by employees without official approval.
  • Russian regulatory metadata capture: Collects standardized information for each AI system including 152-FZ applicability, РКН notification status, ОВПД completion, AIA triage results, sectoral compliance status, and sanctions exposure for foreign vendors.
  • Governance reporting: Generates tabular summary reports broken down by AI type, risk level, compliance status, and sanctions exposure, plus prioritized action items for compliance gaps.
  • Use Case: A Russian company can use this skill to audit all AI tools in use, confirm 152-FZ notification status for each system, assess sanctions risk for US/EU AI vendors, and create a quarterly maintenance plan for their AI inventory.

Quick Start

Use the ai-inventory skill to compile a full inventory of all AI systems used in your organization, including their 152-FZ compliance status, risk scores, and sanctions exposure.

Frequently Asked Questions about ai-inventory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compile an AI inventory for 152-FZ regulatory compliance?▼

To compile an AI inventory for 152-FZ compliance, you map all organizational AI systems, capturing standardized metadata on РКН notification status, ОВПД completion, and AIA triage results to identify compliance gaps. This yields structured records and prioritized action items.

What is the best way to detect shadow AI usage across company departments?▼

Detecting shadow AI usage involves cross-department discovery to identify hidden AI tools used by employees without official approval. The process maps unapproved tools across HR, finance, and engineering units, producing tabular summary reports categorized by risk level.

How do I assess sanctions exposure for foreign AI vendors?▼

Assessing sanctions exposure for foreign AI vendors requires capturing vendor metadata during your AI inventory compilation. The system evaluates US and EU vendor risks alongside sectoral compliance status, generating structured records that highlight potential sanctions vulnerabilities.

Can I track RKN notification status for multiple AI systems simultaneously?▼

Tracking РКН notification status across multiple AI systems is supported during the inventory process. The system collects standardized regulatory compliance metadata for each deployed tool, generating a tabular summary report broken down by notification status and risk level.

Does this AI governance reporting include risk scores and action items?▼

AI governance reporting includes risk scores and prioritized action items for identified compliance gaps. The output provides structured metadata records and tabular summaries aligned with Russian federal AI regulatory requirements, enabling quarterly maintenance planning.

When should I not use a manual approach for AI risk management?▼

Manual AI risk management should be avoided when organizations lack full visibility into deployed AI systems, leading to unaddressed 152-FZ gaps and unmanaged shadow AI risks. Automated inventory compilation is needed to systematically capture regulatory metadata and generate governance reports.

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