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 TheMattBerman/google-ads-copilot --skill google-ads-rsasgit clone --depth 1 https://github.com/TheMattBerman/google-ads-copilotWrote 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/themattberman/google-ads-copilot/google-ads-rsas)<a href="https://agentmods.dev/skills/themattberman/google-ads-copilot/google-ads-rsas"><img src="https://agentmods.dev/badge/skills/themattberman/google-ads-copilot/google-ads-rsas/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/themattberman/google-ads-copilot/google-ads-rsas"><img src="https://agentmods.dev/badge/skills/themattberman/google-ads-copilot/google-ads-rsas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.01029 |
| Opus 5 | $0.00023 | $0.00515 |
| Sonnet 5 | $0.00009 | $0.00206 |
| Haiku 4.5 | $0.00005 | $0.00103 |
Grade A, and why
google-ads-rsas 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads RSAs
Read first:
google-ads/references/operator-thesis.mdgoogle-ads/references/query-patterns.mdgoogle-ads/references/intent-map.mdgoogle-ads/references/rsa-playbook.mdgoogle-ads/references/deliverable-templates.md
Read workspace if available:
workspace/ads/account.mdworkspace/ads/goals.mdworkspace/ads/intent-map.mdworkspace/ads/queries.mdworkspace/ads/winners.mdworkspace/ads/assets.mdworkspace/ads/learnings.md
Data Acquisition
Connected Mode (MCP available)
Pull via the search tool on google-ads-mcp:
Primary: RSA asset performance:
SELECT
asset.text_asset.text,
asset.type,
ad_group_ad_asset_view.performance_label,
ad_group_ad_asset_view.field_type,
campaign.name,
ad_group.name,
metrics.impressions,
metrics.clicks,
metrics.conversions
FROM ad_group_ad_asset_view
WHERE segments.date DURING LAST_30_DAYS
AND campaign.status = 'ENABLED'
ORDER BY metrics.impressions DESC
Supplementary: Search terms (for buyer language extraction):
SELECT
search_term_view.search_term,
campaign.name,
metrics.conversions,
metrics.clicks,
metrics.cost_micros
FROM search_term_view
WHERE segments.date DURING LAST_30_DAYS
AND metrics.conversions > 0
ORDER BY metrics.conversions DESC
LIMIT 200
Retrieval ladder — if the search-term query returns no rows, follow the shared retrieval ladder in data/search-term-retrieval.md. In pmax-fallback mode, use rows for buyer-language extraction only (language signal, not per-term performance). In limited mode, rely on existing asset performance data for copy direction.
Supplementary: RSA ad-level data:
SELECT
campaign.name,
ad_group.name,
ad_group_ad.ad.responsive_search_ad.headlines,
ad_group_ad.ad.responsive_search_ad.descriptions,
ad_group_ad.ad.final_urls,
metrics.impressions,
metrics.clicks,
metrics.conversions
FROM ad_group_ad
WHERE ad_group_ad.ad.type = 'RESPONSIVE_SEARCH_AD'
AND campaign.status = 'ENABLED'
AND segments.date DURING LAST_30_DAYS
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.
- 9d ago First seen · 131 lines · 46 tokens per session scan A a6eea2341991
google-ads-rsas is a skill published in the GitHub repository TheMattBerman/google-ads-copilot (231 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 1,029 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…