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.
npx skills add davidmosiah/google-ads-mcp-unofficial --skill skillgit clone --depth 1 https://github.com/davidmosiah/google-ads-mcp-unofficialWrote 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.
[](https://agentmods.dev/skills/davidmosiah/google-ads-mcp-unofficial/skill)<a href="https://agentmods.dev/skills/davidmosiah/google-ads-mcp-unofficial/skill"><img src="https://agentmods.dev/badge/skills/davidmosiah/google-ads-mcp-unofficial/skill/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.
<a href="https://agentmods.dev/skills/davidmosiah/google-ads-mcp-unofficial/skill"><img src="https://agentmods.dev/badge/skills/davidmosiah/google-ads-mcp-unofficial/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.00345 |
| Opus 5 | $0.00032 | $0.00172 |
| Sonnet 5 | $0.00013 | $0.00069 |
| Haiku 4.5 | $0.00006 | $0.00034 |
Grade A, and why
google-ads-mcp 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 12d 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.
What it actually says
Google Ads MCP — skill or MCP
Same binary either way. Do not duplicate the API client.
Choose a surface
MCP — tools appear natively after stdio/HTTP config:
{ "mcpServers": { "google-ads-mcp": { "command": "npx", "args": ["-y", "google-ads-mcp-unofficial"] } } }
Do not put mutation flags in that snippet.
Skill / CLI — no MCP client required. Same tools:
npx -y google-ads-mcp-unofficial call google_ads_connection_status --json '{}'
If MCP tools named google_* are already available, use them. Do not also shell out.
Operator playbooks (intent map, negatives, drafts) live in the separate google-ads skill suite. This file is only the MCP-or-CLI surface for the unofficial Ads MCP.
Loop
- Call
google_ads_connection_status(ordoctor --jsonwhen that exists). - Use read tools as asked.
- Stop on
USER_ACTION_REQUIRED. Do not invent env flags. Do not enable mutations from this skill.
Never
- Paste tokens into git, chat logs, or the prompt
- Copy a mutations-enabled assignment into config
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.
- 12d ago First seen · 42 lines · 64 tokens per session scan A 0e3d0f065ec7
google-ads-mcp is a skill published in the GitHub repository davidmosiah/google-ads-mcp-unofficial (4 stars, last pushed 5d ago), licensed MIT. It adds 64 tokens to every session and 345 once invoked, about $0.0003 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.
Other skills, from other repositories
seller-research
Use when researching a merchant, storefront, marketplace seller, or merchant of record for a buying decision, especially when identity, refund terms, fulfillment, counterfeit risk, domain history, or independent buyer outcomes are uncertain.
product-research
Use when researching or comparing a specific product, model, or variant for a buying decision, especially when specifications conflict, fit or compatibility matters, retailer copy dominates, or the evidence may be incomplete.
anyr
Use when reading, searching, creating, or updating Anytype documents (objects, spaces, types, properties, files, chats) from the command line with the configured anyr CLI, including JSON output patterns for scripting.
vault-for-llm
Connect OpenClaw to Vault Agent Memory as a local-first governed project memory layer. Search first, then bounded-read cited source ranges; propose new memories as candidates instead of writing directly into active memory.
skills
Your next session starts cold. No memory of what you built, what broke, what you decided. Every memory you write is a gift to that future session. The richer the memory, the less time re-learning.
memem-welcome
Re-show the full memem welcome screen regardless of whether the user has seen it before. Use when the user wants to see the intro, tutorial, or welcome again.