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-negativesgit 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-negatives)<a href="https://agentmods.dev/skills/themattberman/google-ads-copilot/google-ads-negatives"><img src="https://agentmods.dev/badge/skills/themattberman/google-ads-copilot/google-ads-negatives/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-negatives"><img src="https://agentmods.dev/badge/skills/themattberman/google-ads-copilot/google-ads-negatives.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 | $0.00045 | $0.02077 |
| Opus 5 | $0.00023 | $0.01038 |
| Sonnet 5 | $0.00009 | $0.00415 |
| Haiku 4.5 | $0.00005 | $0.00208 |
Grade A, and why
google-ads-negatives 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads Negatives
Read first:
google-ads/references/operator-thesis.mdgoogle-ads/references/query-patterns.mdgoogle-ads/references/negatives-playbook.mdgoogle-ads/references/intent-map.mdgoogle-ads/references/deliverable-templates.mddata/negative-inventory.md
Read workspace if available:
workspace/ads/account.mdworkspace/ads/goals.mdworkspace/ads/intent-map.mdworkspace/ads/queries.mdworkspace/ads/negatives.mdworkspace/ads/learnings.md
Data Acquisition
Connected Mode (MCP available)
Pull via the search tool on google-ads-mcp:
Primary: Search terms with waste signals — last 30 days:
SELECT
search_term_view.search_term,
search_term_view.status,
campaign.name,
ad_group.name,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions,
metrics.conversions_value,
metrics.cost_per_conversion
FROM search_term_view
WHERE segments.date DURING LAST_30_DAYS
ORDER BY metrics.cost_micros DESC
LIMIT 500
Retrieval ladder — if the primary query returns no rows, follow the shared retrieval ladder in data/search-term-retrieval.md. In pmax-fallback mode, only recommend negatives for extremely obvious junk terms — do not recommend exact negatives without per-term metrics. In limited mode, do not recommend negatives at all — ask for a UI export.
Required: Existing campaign-level negatives:
SELECT
campaign.name,
campaign_criterion.keyword.text,
campaign_criterion.keyword.match_type,
campaign_criterion.negative
FROM campaign_criterion
WHERE campaign_criterion.negative = TRUE
AND campaign_criterion.type = 'KEYWORD'
Required: Negative inventory verification (all locations):
Use the shared verification path in data/negative-inventory.md / scripts/negative-inventory.sh to check:
- campaign-level negatives
- ad-group-level negatives
- shared negative lists
- campaign/shared-list attachments
- shared-list keyword members
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 · 210 lines · 45 tokens per session scan A 7d072fba7470
google-ads-negatives is a skill published in the GitHub repository TheMattBerman/google-ads-copilot (231 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 2,077 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.
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