Agent skill · Code Review & Quality

ai-disclosure-policy

Decide when and how your product and communications must (or should) label AI-generated content, and write the disclosure policy — surface-by-surface rules, exact label wording, and the review trigger for regulations like the EU AI Act's transparency obligations. Use when asked 'do we have to label AI content', 'write our AI disclosure policy', 'are we covered for the AI Act', or when marketing/support/product start shipping AI-generated output. Produces a disclosure policy with a per-surface matrix and ready-to-use label copy. Not legal advice.

mohitagw15856github.com/mohitagw15856GitHub ↗
claude-codecursorMIT
Install
npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/ai-disclosure-policy/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,255
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AI Disclosure Policy Skill Every company now ships AI-generated content somewhere — support replies, marketing images, chatbot conversations, synthetic voices — and most have no rule for when to say so. Meanwhile transparency regulation is arriving (the EU AI Act's transparency obligations for chatbots, synthetic media, and deepfakes being the headline example, with obligations phasing in through 2026–2027), and the trust cost of an *undisclosed* AI surface being discovered is higher than the disclosure ever was. This skill produces the policy: what you label, where, in what words — with the honest line that final regulatory judgment belongs to your lawyer, and this document is what makes that conversation short. ## What This Skill Produces - A **surface inventory**: every place AI-generated content reaches users or the public, with today's disclosure state - A **disclosure matrix**: per surface — required (regulatory), expected (platform/industry norm), or chosen (trust) — with the reasoning - **Label copy** ready to ship: UI strings, footer lines, image/video marks, chatbot self-identification wording - The **review triggers**: what changes (new surface, new market, new regulat

What's inside
Steps it walks through
  1. What This Skill Produces
  2. Required Inputs
  3. Process
  4. Output Format
  5. Quality Checks
  6. Anti-Patterns
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About this skill
What does the ai-disclosure-policy skill do?

Decide when and how your product and communications must (or should) label AI-generated content, and write the disclosure policy — surface-by-surface rules, exact label wording, and the review trigger for regulations like the EU AI Act's transparency obligations. Use when asked 'do we have to label AI content', 'write our AI disclosure policy', 'are we covered for the AI Act', or when marketing/support/product start shipping AI-generated output. Produces a disclosure policy with a per-surface matrix and ready-to-use label copy. Not legal advice.

How do I install it?

Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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