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  "title": "Claude Ads (independent — AI agent for auditing ads across 12 platforms)",
  "description": "MIT-licensed, self-hostable Claude Code skill / Python package that lets an AI agent audit and draft optimizations for ad accounts across 12 platforms (Google, Meta, YouTube, LinkedIn, TikTok and more), read-only by default with account changes gated behind explicit approval and rollback, so a lean team can run paid-ads review on tooling it owns instead of a managed ad-ops service.",
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  "date_published": "2026-10-19T00:00:00Z",
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    "name": "github · AgriciDaniel/claude-ads",
    "url": "https://github.com/AgriciDaniel/claude-ads",
    "author": "0xrux"
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  "one_liner": "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",
  "self_hostable": "yes",
  "pricing_signal": "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.",
  "pricing_model": "free",
  "who_its_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.",
  "who_its_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.",
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    "note": "MIT verified from the repo LICENSE ('MIT License, Copyright (c) 2026 Daniel Agrici') and the GitHub license API (spdx_id MIT), not guessed. Stars 10,231, forks 1,505 (API 2026-10-21, not the post's numbers); created 2026-02-11, last push 2026-10-17. Substantive repo: claude_ads_core/, pyproject.toml, lockfiles, tests/, evals/, 64KB CHANGELOG. Runs locally as a Claude Code skill / Python pkg (3.11-3.12), no API keys; also Codex/Gemini/Cursor. Read-only default; optimize is draft-only."
  },
  "caveats": "Independent project by Daniel Agrici — explicitly NOT an Anthropic product despite the 'Claude' name. The viral framing 'audit AND optimize' overstates autonomy: it drafts optimizations and does not autonomously change accounts; account changes are capability-gated behind explicit approval and rollback. The primary X post returned HTTP 402 (paywalled), so verification was done against the repo README, LICENSE and GitHub API as the primary source.",
  "lead": "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…",
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      "text": "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."
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      "text": "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.\n\n- 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.\n- 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.\n- 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.\n- 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.\n- **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.\n- 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."
    },
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      "heading_path": [
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      "text": "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.\n\nPaid-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."
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