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 contentkueche/google-ads-mcp-render --skill account-performance-diagnosticsgit clone --depth 1 https://github.com/contentkueche/google-ads-mcp-renderWrote 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/contentkueche/google-ads-mcp-render/account-performance-diagnostics)<a href="https://agentmods.dev/skills/contentkueche/google-ads-mcp-render/account-performance-diagnostics"><img src="https://agentmods.dev/badge/skills/contentkueche/google-ads-mcp-render/account-performance-diagnostics/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/contentkueche/google-ads-mcp-render/account-performance-diagnostics"><img src="https://agentmods.dev/badge/skills/contentkueche/google-ads-mcp-render/account-performance-diagnostics.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 | $0.00043 | $0.00711 |
| Opus 5 | $0.00022 | $0.00356 |
| Sonnet 5 | $0.00009 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
account-performance-diagnostics 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 8d 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.
This is a copy
100% identical to account-performance-diagnostics — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Account Performance Diagnostics Skill
This skill provides instructions on how to use the Google Ads MCP server to diagnose common account performance issues.
Workflows
1. Conversion and Conversion Value Loss
When conversions or conversion value suddenly decline, use the following steps to diagnose the issue.
Steps:
- Discover Fields: Use
get_resource_metadatawith resourcecampaignorad_groupto ensure you have the correct field names. - Query Performance: Use
searchto retrieve performance data.- Resource:
campaignorad_group - Fields: Include
campaign.name,metrics.conversions,metrics.conversion_value,metrics.cost_micros. - Segments: To isolate the loss, include segments like
segments.date,segments.device,segments.conversion_action. - Conditions: Compare the period of decline with a previous period (e.g.,
segments.date >= 'YYYY-MM-DD').
- Resource:
- Analyze: Check if the loss is limited to certain devices (e.g., mobile vs desktop) or specific conversion actions.
- Check Uploads: If using offline conversions, consider checking
offline_conversion_upload_conversion_action_summaryfor upload issues.
2. Opportunities Lost (Impression Share)
To identify lost opportunities due to ad rank, bids, or budgets, analyze impression share metrics.
Steps:
- Query Impression Share: Use
searchto retrieve impression share metrics.- Resource:
campaign - Fields:
campaign.name,metrics.search_impression_share,metrics.search_rank_lost_impression_share,metrics.search_budget_lost_impression_share.
- Resource:
- Analyze:
- High
search_budget_lost_impression_shareindicates opportunities lost due to limited budget. - High
search_rank_lost_impression_shareindicates opportunities lost due to low ad rank (bid or quality issues).
- High
3. Low Lead Flow Diagnostics
When a user asks "why is my lead flow low these past few days?", follow this systematic approach.
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.
- 8d ago First seen · 51 lines · 43 tokens per session scan A b6a34954eea0
account-performance-diagnostics is a skill published in the GitHub repository contentkueche/google-ads-mcp-render (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 711 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to account-performance-diagnostics, differing in 0 lines, and is treated as a copy.
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