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 agentmods add skills/themattberman/google-ads-copilot/google-ads-draft-summarynpx skills add TheMattBerman/google-ads-copilot --skill google-ads-draft-summarygit 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-draft-summary)<a href="https://agentmods.dev/skills/themattberman/google-ads-copilot/google-ads-draft-summary"><img src="https://agentmods.dev/badge/skills/themattberman/google-ads-copilot/google-ads-draft-summary.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.01968 |
| Opus 5 | $0.00032 | $0.00984 |
| Sonnet 5 | $0.00013 | $0.00394 |
| Haiku 4.5 | $0.00006 | $0.00197 |
Grade A, and why
google-ads-draft-summary 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 6d 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 — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads Draft Summary
Why this skill exists
After an audit, search-term review, or tracking diagnosis, the copilot produces individual draft files. But individual files don't answer the operator's real question:
"I have 20 minutes. What should I review and apply first?"
This skill answers that.
Read first:
drafts/DRAFTS.md— draft system documentation
Read workspace:
workspace/ads/drafts/_index.md— current queue- All
workspace/ads/drafts/*.md— individual draft files workspace/ads/account.md— account contextworkspace/ads/findings.md— for tracking confidence context
What This Produces
A Draft Summary — a single document that:
- Lists every pending draft (status:
proposedorapproved) - Classifies each by priority, impact, risk, and reversibility
- Shows dependency chains (what must be applied before what)
- Produces a recommended apply order (the sequence an operator should follow)
- Flags blocked actions (e.g., budget scaling blocked by tracking problems)
- Estimates total impact of applying all pending changes
This is the current backlog snapshot, not the audit-run packet. _summary.md should always reflect the latest pending queue. Durable audit packets belong in _batch-*.md.
Priority Classification
Each draft gets a priority level based on these criteria:
P0 — Fix First (Blocking)
- Tracking problems that gate all other decisions
- Actively harmful configurations (e.g., paying for store visits as conversions)
- Budget bleeding on clearly wrong traffic
- Apply these before anything else
P1 — Quick Wins (High Confidence, Easy, High Impact)
- Clear negative keyword additions with significant waste (>$100/month)
- Keyword pauses with obvious waste
- Simple tracking cleanup (remove micro-conversion from primary)
- Apply these in the same session as P0
P2 — Strategic Moves (Requires Thought)
- Structure changes (campaign splits, ad group reorganization)
- Budget reallocation between campaigns
- Landing page changes
- Schedule a focused review session for these
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.
- 6d ago First seen · 246 lines · 65 tokens per session scan A 2aa4a62c77d3
google-ads-draft-summary is a skill published in the GitHub repository TheMattBerman/google-ads-copilot (231 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 1,968 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 2026-08-30.
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