# Claude Ads (independent — AI agent for auditing ads across 12 platforms)

> Updated 2026-10-19 · type: tool · category: marketing-automation · status: active · rev 1

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.

- Open source: yes (MIT)
- Self-hostable: yes
- Pricing: 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.
- Best for: A technical founder or lean growth/marketing-ops operator running paid ads across several platforms who wants an AI agent to audit accounts and draft optimizations locally, keeping approval and rollback in human hands.
- Not for: Teams that want an agent to change live ad accounts autonomously, that need a managed/supported ad-ops product with an SLA, or that cannot run a local Python 3.11-3.12 environment.
- Last verified: 2026-10-21

- **Canonical:** https://gtmstacker.com/registry/tool/claude-ads/
- **Source:** [github · AgriciDaniel/claude-ads](https://github.com/AgriciDaniel/claude-ads) — 0xrux
- **Tags:** marketing-automation, marketing-ops, ai-agents, self-hostable, open-source, mcp-agents
- **Repository:** https://github.com/AgriciDaniel/claude-ads

## Is Claude Ads (independent — AI agent for auditing ads across 12 platforms) open source?

Yes, Claude Ads (independent — AI agent for auditing ads across 12 platforms) is open source under the MIT license.

## How much does Claude Ads (independent — AI agent for auditing ads across 12 platforms) cost?

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).

## Can I self-host Claude Ads (independent — AI agent for auditing ads across 12 platforms)?

Yes, Claude Ads (independent — AI agent for auditing ads across 12 platforms) can be self-hosted (the source is available under the MIT license).


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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.

## Provenance

- License **MIT** verified two ways: the repo **LICENSE file** ("MIT License, Copyright (c) 2026 Daniel Agrici") and the **GitHub license API** (`spdx_id: MIT`) — not guessed. MIT is OSI-approved, permissive and commercial-clean.
- Stars **10,231**, forks **1,505** (GitHub API, 2026-10-21 — the current figures, not the viral post's claimed numbers); created 2026-02-11, last push 2026-10-17, actively maintained.
- A **substantive** repo, not an empty funnel: a real Python package (`claude_ads_core/`, `pyproject.toml`, requirements and lockfiles), `tests/`, `evals/`, install/uninstall scripts, skill definitions, and a 64KB CHANGELOG.
- Self-hostable and free: runs locally as a Claude Code skill / Python package with no API keys; pricing is free/OSS under MIT. A paid Skool "AI Marketing Hub Pro" early-access community mirror exists, but the public MIT release needs no membership.
- **Disambiguation (important):** this is an **independent project by Daniel Agrici** and is explicitly **NOT an Anthropic product**, despite the "Claude" name. It covers 12 ad platforms, is read-only by default, and "optimize" is draft-only — the viral framing "audit AND optimize" overstates its autonomy; it drafts optimizations rather than autonomously changing accounts.
- Surfaced via the 2026-10-21 X pull (post by 0xrux). The primary X post returned HTTP 402 (paywalled), so verification was performed against the repo README, LICENSE and GitHub API as the primary source, treated as untrusted content; no injected instructions were encountered. Curated from the GTM Stacker signal registry (run 2026-10-21-registry-update-01); license, stars, activity, repo substance and self-hostability independently verified 2026-10-21.

## Why it matters for a GTM stack

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.