Claude Ads is an MIT Claude Code skill that audits ad accounts across 12 platforms and drafts optimizations, read-only by default with gated changes.
Yes, Claude Ads (independent — AI agent for auditing ads across 12 platforms) is open source under the MIT license.
Free and open source (MIT); runs locally with no API keys required. A paid Skool early-access community mirror exists, but the public MIT release needs no membership. (free).
Yes, Claude Ads (independent — AI agent for auditing ads across 12 platforms) can be self-hosted (the source is available under the MIT license).
An MIT-licensed, self-hostable **Claude Code skill / Python package** that gives an AI agent the ability to **audit and draft optimizations for ad accounts across 12 platforms** — Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat and X. It runs **read-only by default**; the "optimize" path is draft-only (/ads optimize --draft), and any actual account change is capability-gated behind explicit approval and rollback. It installs locally as a Python package (3.11-3.12) with no API keys required, and is also compatible with Codex, Gemini, Cursor, Windsurf and Goose.
Paid-ads review across a dozen platforms is exactly the kind of repetitive, high-stakes ops work lean teams either neglect or outsource to a managed ad-ops service. Claude Ads is the own-your-stack alternative: an MIT-licensed agent skill that audits accounts and drafts optimizations locally, with a design that keeps humans in control — read-only by default, draft-only optimizations, and any live change gated behind explicit approval and rollback. The honest read: the name invites confusion, so say it plainly — this is an independent project, not an Anthropic product; and the viral "audit and optimize" framing oversells the autonomy, because it drafts rather than autonomously changes accounts. What is verified is what governs adoption: MIT read from both the LICENSE file and the GitHub API, 10,231 stars live, a genuinely substantive Python repo with tests and evals, and a local install that needs no API key.