Anthropic says it will donate the Agent Skills specification to the Agentic AI Foundation, a project of the Linux Foundation. The format packages instructions, resources and executable components so that an AI agent can take on repeatable capabilities. Anthropic reports that more than 70 platforms have integrated the approach, with one million skills published and nearly 280 million installations; those figures are company-supplied and have not been independently audited here.

The governance move is more important than the adoption headline. Skills can become a portable supply chain for agent behaviour, and neutral stewardship may make it easier for enterprises to adopt the format without binding their operating model to one vendor. It also creates harder questions about provenance, permissions, versioning, vulnerability disclosure and the boundary between an instruction bundle and software.

AI for Leaders: Governance, Risk & Why Strategy Must Come First
Is your organisation adopting AI without a defined strategy or governance? If so, you're not alone — and the consequences range from data breaches to reputational damage to safeguarding failures. AI is a strategic risk, not a silver bullet, and definitely not a magic data fairy. Without clear ownership, rules, and accountability, AI can proliferate across your organisation in ways that cost more — in time, money, and trust — than not using it at all. Speakers: Craig Clark, Director at Clark & Company Information Governance Services, and Stewart Tinson, Project Director, AI-360. You'll learn: Why "understand your why" must precede any AI rollout Which risks senior leaders most commonly overlook — from data leakage to safeguarding How to measure AI value through outcomes, not adoption metrics Why accountability for AI governance sits with the C-suite, not IT or compliance Key topics: AI strategy • Risk appetite • Data protection • Bias & fairness • Safeguarding • AI literacy • Governance models • Return on investment • Executive accountability • AI use case tiering For CISOs, CIOs, and senior leaders who need to govern AI responsibly — before it governs them.
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