Iso42001
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
Expert ISO 42001 AI Management System (AIMS) compliance advisor.
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…
Install AI Disclosure Policy
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-disclosure-policy --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-disclosure-policy .claude/skills/ai-disclosure-policy && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-disclosure-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-disclosure-policy into .claude/skills/ai-disclosure-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-disclosure-policy", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-disclosure-policyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-disclosure-policy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-disclosure-policy .agents/skills/ai-disclosure-policy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-disclosure-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-disclosure-policy into .agents/skills/ai-disclosure-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-disclosure-policy", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-disclosure-policy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-disclosure-policy .cursor/skills/ai-disclosure-policy && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-disclosure-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-disclosure-policy into .cursor/skills/ai-disclosure-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-disclosure-policy", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mohitagw15856/pm-claude-skills.git --path skills/ai-disclosure-policy--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-disclosure-policy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-disclosure-policy .gemini/skills/ai-disclosure-policy && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-disclosure-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-disclosure-policy into .gemini/skills/ai-disclosure-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-disclosure-policy", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mohitagw15856/pm-claude-skills ai-disclosure-policyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-disclosure-policy .github/skills/ai-disclosure-policy && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-disclosure-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-disclosure-policy into .github/skills/ai-disclosure-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-disclosure-policy", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-disclosure-policy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-disclosure-policy .opencode/skills/ai-disclosure-policy && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-disclosure-policy" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-disclosure-policy into .opencode/skills/ai-disclosure-policy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-disclosure-policy", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-disclosure-policy- GitHub stars
- 1.4k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 615 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Works in 5 steps: Inventory before policy. List every… → Sort into required / expected / chosen.… → Write labels people won't hate. Honest,… → …
- Regulations like the EU AI Acts transparency obligations
- SKILL.md covers What This Skill Produces, Required Inputs, Process and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI Disclosure Policy is an agent skill from mohitagw15856/pm-claude-skills. 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…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Legal & Compliance, covering AI governance. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Regulations like the EU AI Acts transparency obligations
- Asked do we have to label AI content
- Write our AI disclosure policy
- Are we covered for the AI Act
Example prompts
- “s transparency obligations. Use when asked”
- “write our AI disclosure policy”
- “are we covered for the AI Act”
- “/ai-disclosure-policy”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Inventory before policy. List every AI-touching surface, then the ones
- Sort into required / expected / chosen. Required: where a regulation
- Write labels people won't hate. Honest, short, non-groveling
- Decide the edge cases explicitly: AI-drafted-human-edited text (the big
- Wire the triggers. New surface, new market, automation-degree change,
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI Disclosure Policy loads about 1.4k tokens when it runs. Until then it costs about 143 tokens; SKILL.md has 615 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 615 words, ~1,413 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-disclosure-policy/SKILL.md (or your agent's skills folder).- name
- ai-disclosure-policy
- description
- 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.
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 regulation phase) forces a policy re-read, and who owns it
Required Inputs
Ask for (if not already provided):
- Where AI output ships today or soon: chatbots, support, marketing content, images/video/voice, code, docs — and which are fully automated vs human-reviewed
- Markets served (EU exposure changes obligations) and industry (regulated sectors add rules)
- Existing policy fragments ([[ai-usage-policy]] covers internal use — this skill covers outward disclosure; link them, don't duplicate)
- Risk posture: minimum-compliance or trust-differentiator
Process
- Inventory before policy. List every AI-touching surface, then the ones the user forgot: auto-generated email, AI-assisted support macros, synthetic voices on calls, generated product imagery, auto-summaries in the product. For each: fully-AI, AI-drafted-human-approved, or AI-assisted — the disclosure answer differs by degree of human control.
- Sort into required / expected / chosen. Required: where a regulation plausibly applies — chatbots that could be mistaken for humans, synthetic media, emotionally targeted content (flag these for counsel; cite the regulation family, not invented article numbers). Expected: platform rules and industry norms (ad platforms, app stores increasingly require labels). Chosen: where labeling is optional but discovery-risk or brand values argue for it. State the reasoning per row — a policy without reasons decays.
- Write labels people won't hate. Honest, short, non-groveling: "AI-assisted, human-reviewed" beats a paragraph of throat-clearing. Chatbots self-identify at conversation start, not in a footer. Human-approved content can say so — the disclosure spectrum has two ends.
- Decide the edge cases explicitly: AI-drafted-human-edited text (the big one — set a threshold and say it), internal content that leaks, user-facing personalization, A/B tests of the labels themselves (don't).
- Wire the triggers. New surface, new market, automation-degree change, regulation phase-in dates → named owner re-reviews. Policy without a re-review trigger is a screenshot, not a policy.
Show full SKILL.md (165 more words)Show less
Output Format
## Where AI ships today
| Surface | Degree (full / drafted / assisted) | Disclosed today? |
## Disclosure matrix
| Surface | Required / Expected / Chosen | Reasoning | Label |
## Label copy (ready to ship)
[Exact strings per surface type]
## Edge-case rulings
[The threshold decisions, stated plainly]
## Review triggers & ownership
[What forces a re-read, who owns it, standing counsel questions]Quality Checks
- The inventory surfaced at least one AI surface the user didn't list
- Every matrix row carries reasoning; "required" rows name the regulation family and carry the flag-for-counsel marker — no invented article citations
- Label copy is shippable as-is: short, honest, located where users actually are (chatbot labels at the top, not the terms page)
- The AI-drafted-human-edited threshold is decided, not deferred
- The not-legal-advice line is present and the counsel-question list makes the legal review cheap
Anti-Patterns
- Do not assert specific legal conclusions ("Article X requires you to…") — identify plausibly-applicable obligations and route to counsel
- Do not write labels as apologies — disclosure done confidently is a trust feature
- Do not produce one blanket rule; the matrix exists because a support macro and a synthetic voice are different obligations
- Do not duplicate [[ai-usage-policy]] — internal use rules live there; this is outward-facing disclosure
Example Trigger Phrases
- "Do we have to label AI content?"
- "Write our AI disclosure policy."
- "Are we covered for the AI Act?"
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/ai-disclosure-policy of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
AI Disclosure Policy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Disclosure Policy this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Iso42001Sushegaad/Claude-Skills-Governance-Risk-and-Compliance | 946 | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| AI Risk Managementbriiirussell/cybersecurity-skills | 413 | — | ~3.7k | Automated safety check: Notes | MIT | |
| EU AI Act System Inventoryanthropics/claude-for-legal | 9.6k | 3 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Eu AI Act Readinessseb1n/awesome-ai-agent-skills | 206 | — | ~3.3k | Automated safety check: Pass | MIT | |
| AI GovernanceHack23/cia | 239 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about AI Disclosure Policy
What does AI Disclosure Policy 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…. AI Disclosure Policy is an agent skill from mohitagw15856/pm-claude-skills. 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.
When should I use AI Disclosure Policy?
AI Disclosure Policy fits situations like: regulations like the EU AI Acts transparency obligations; asked do we have to label AI content; write our AI disclosure policy; are we covered for the AI Act.
How do I install AI Disclosure Policy in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy -a claude-code`. Or copy the skill folder (skills/ai-disclosure-policy in mohitagw15856/pm-claude-skills) into .claude/skills/ai-disclosure-policy in your project. Claude Code loads it when a task matches its description.
How do I install AI Disclosure Policy in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy -a codex`. Or copy the skill folder (skills/ai-disclosure-policy in mohitagw15856/pm-claude-skills) into .agents/skills/ai-disclosure-policy in your project. Codex loads it when a task matches its description.
Can I use AI Disclosure Policy in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill ai-disclosure-policy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-disclosure-policy, .gemini/skills/ai-disclosure-policy, .github/skills/ai-disclosure-policy and .opencode/skills/ai-disclosure-policy in your project.
What does AI Disclosure Policy need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Disclosure Policy is instructions for the agent only.
Does AI Disclosure Policy access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is AI Disclosure Policy safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does AI Disclosure Policy use?
AI Disclosure Policy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Disclosure Policy use?
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Disclosure Policy?
Skills that share tags, products or a category with AI Disclosure Policy: Iso42001 (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars), AI Risk Management (briiirussell/cybersecurity-skills, 413 stars), EU AI Act System Inventory (anthropics/claude-for-legal, 9.6k stars) and Eu AI Act Readiness (seb1n/awesome-ai-agent-skills, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Disclosure Policy?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.