by mrtinkz
Universal AI Charter: plain-language governance principles and a public certification registry for AI models, built on disclosure instead of a development slowdown.
# Add to your Claude Code skills
git clone https://github.com/mrtinkz/ai-charterLast scanned: 9/29/2026
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{
"type": "npm-audit",
"message": "react-router-dom: Vulnerability found",
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"scannedAt": "2026-09-29T10:25:28.756Z",
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}See how ai-charter compares with popular alternatives.
ai-charter is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by mrtinkz. Universal AI Charter: plain-language governance principles and a public certification registry for AI models, built on disclosure instead of a development slowdown. It has 108 GitHub stars.
Yes. ai-charter passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/mrtinkz/ai-charter" and add it to your Claude Code skills directory (see the Installation section above).
ai-charter is primarily written in TypeScript. It is open-source under mrtinkz on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ai-charter against similar tools.
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This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Live site: https://mrtinkz.github.io/ai-charter/
A public site for the Universal AI Charter: a governance charter built on disclosure instead of a development slowdown, plus a certification registry so companies can certify their models against it.
The charter argues AI development should speed up, not slow down, while every model and every operator discloses what it does, what it was trained on, and what has already gone wrong. It is a living document, revised as AI and its governance needs change.
/charter) — the full charter, grouped into sections: Access & Equity, Innovation & Freedom,
Governance & Disclosure, Accountability & Safety, Infrastructure & Data Centers, Global & Historical./certify) — a form for companies to generate a certification file for a model (company, version,
status, training sources, agentic decision-making, hazard categories, yearly decision categorization and
sub-categorization, unintended consequences), and to upload/render an existing one./registry) — a searchable, filterable list of certified models, sourced from JSON files under
src/data/certifications/./placards) — the hazard placard categories a certification can disclose, colour-coded by
severity. The list is open-ended; propose a new placard by pull request./blog) — the case for why AI development should not be slowed down./faq) — common questions about the charter and certification process./certify, fill in the form, and download the certification JSON file.src/data/certifications/ in this repository.Open a pull request against src/types/certification.ts, adding an entry to
HAZARD_CATEGORY_DEFINITIONS with a label, severity, and one-line description.
npm install
npm run dev # start the dev server
npm run build # type-check and build for production
npm run lint # run oxlint
npm run preview # preview a production build locally
React, TypeScript, Vite, Tailwind CSS, React Router.
MIT, see LICENSE.