# AI Transparency Labels

> Generate standardized transparency labels for AI systems.

- Skill: `thomasmoreai/ai-transparency-labels` (Agent Skill)
- Install (CLI): `npx skillmds@latest add thomasmoreai/ai-transparency-labels`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thomasmoreai/ai-transparency-labels/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: Apache-2.0
- Author: ThomasMoreAI (https://skillmd.com/u/thomasmoreai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/thomasmoreai/ai-transparency-labels

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# AI Transparency Labels

**Category:** Trust
**EU AI Act Reference:** Art. 13, Art. 50
**Source:** methodology

## When to Use This Skill

Use this skill when:

- **AI Transparency Labels tasks** - Working on generate standardized transparency labels for ai systems
- **Compliance assessment** - Evaluating AI systems against Art. 13, Art. 50 requirements
- **Risk mitigation** - Implementing controls for trust risks

## Overview

Generate standardized transparency labels for AI systems. Document model capabilities, limitations, training data, intended use, and risk factors in accessible format.

## Key Requirements

### Regulatory Context (Art. 13, Art. 50)

This tool supports compliance with the following EU AI Act requirements:

1. **Assessment** - Evaluate current state against Art. 13, Art. 50 requirements
2. **Implementation** - Deploy appropriate controls and measures
3. **Documentation** - Record findings, decisions, and evidence
4. **Monitoring** - Establish ongoing monitoring and review processes

## Assessment Checklist

- [ ] Identify applicable Art. 13, Art. 50 requirements
- [ ] Assess current compliance status
- [ ] Document gaps and findings
- [ ] Develop remediation plan
- [ ] Implement required controls
- [ ] Verify effectiveness of measures
- [ ] Maintain ongoing documentation

## Integration Notes

**Source Type:** methodology
**Category:** Trust