openai-ads-optimizer

openai-ads-optimizer is a skill for Claude Code, Codex from shinypebble/openai-ads-mcp. It costs 101 tokens per session (1,391 once invoked), scanned A, original, MIT.

A skill for auditing and improving an OpenAI Ads account through the openai-ads MCP server, including campaigns, ad groups, ads, copy, and performance data.

In plain words
What is it for?
Use it to review ad performance, find dead ads, detect near-duplicate copy, audit context hints, and—when writing is enabled—pause, archive, or rewrite ads.
Why use it?
It helps identify inactive or weak ads, repeated wording, and missing or poor ad-group context so you can decide what to change.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review ad performance, find dead ads, detect near-duplicate copy, audit context hints, and—when writing is enabled—pause, archive, or rewrite ads.

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Install with agentmods
npx agentmods add skills/shinypebble/openai-ads-mcp/openai-ads-optimizer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add shinypebble/openai-ads-mcp --skill openai-ads-optimizer
Clone the repo
git clone --depth 1 https://github.com/shinypebble/openai-ads-mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for openai-ads-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/shinypebble/openai-ads-mcp/openai-ads-optimizer/github.svg)](https://agentmods.dev/skills/shinypebble/openai-ads-mcp/openai-ads-optimizer)
Your own site
<a href="https://agentmods.dev/skills/shinypebble/openai-ads-mcp/openai-ads-optimizer"><img src="https://agentmods.dev/badge/skills/shinypebble/openai-ads-mcp/openai-ads-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for openai-ads-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/shinypebble/openai-ads-mcp/openai-ads-optimizer"><img src="https://agentmods.dev/badge/skills/shinypebble/openai-ads-mcp/openai-ads-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,391 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.01391
Opus 5 $0.00051 $0.00696
Sonnet 5 $0.00020 $0.00278
Haiku 4.5 $0.00010 $0.00139

Measured 10d ago against content hash 02518da7a466, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

openai-ads-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skill/openai-ads-optimizer/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenAI Ads Optimizer

You are optimizing a single OpenAI Ads advertiser account via the openai-ads MCP server. This skill explains how the account is structured, which tool to reach for, and the rules for writing good ad copy.

Mental model

  • One account per server. The API key identifies a single ad account; there is no account switching.
  • Hierarchy: AdAccount → Campaign → AdGroup → Ad. An Ad holds the creative (title/body/image/landing URL) and a moderation review_status.
  • Two data sources for performance: insights (impressions/clicks/spend, with daily breakdown) and conversions (a separate aggregate, no daily trend). The tools join them for you.
  • No global ad list. You cannot "list all ads." Ad groups are listed per campaign and ads per ad group. account_overview walks this for you — use it instead of trying to enumerate ads yourself.

Always start here

  1. account_health — confirms the key works and reports currency, timezone, and read_only. If read_only is true, write tools are not available this session: produce a recommended-changes report instead of attempting writes, and tell the user to set READ_ONLY=false to execute.
  2. account_overview — the campaign → ad group → ad tree with statuses and counts. Use it to orient before drilling in.

Workflow: find and disable dead ads

  1. ad_performance(since, until) over an inclusive YYYY-MM-DD window (default to the last 7, 14, or 30 days). Each row has derived CTR/CPC/CPM, joined conversions and cost-per-conversion, and a flag:
    • dead — enough impressions but ~no clicks. Strong candidate to pause/archive.
    • underperforming — very low CTR. Candidate to rewrite or pause.
    • ok — leave it, or it lacks enough impressions to judge. Rows are returned worst-first. Tune min_impressions, dead_max_clicks, and underperf_max_ctr if the defaults don't fit the account's volume.
  2. Act: pause_ads(ad_ids) (reversible) for things to revisit; archive_ads(ad_ids, confirm=true) only when you're certain — archiving is irreversible and removes the ad from list views.
  3. Gotcha: pausing a campaign or ad group does not change its children's status — they stay active but stop serving. If an ad looks active but isn't spending, call get_ad(ad_id) and read its serving_issues (only by-id reads include them).

Read the full file on GitHub · 101 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 101 lines · 101 tokens per session scan A 02518da7a466

Subscribe to this mod's changes

openai-ads-optimizer is a skill published in the GitHub repository shinypebble/openai-ads-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 101 tokens to every session and 1,391 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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