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 TrueClicks/claude-plugins --skill skill-133-impression-share-loss-analysisgit clone --depth 1 https://github.com/TrueClicks/claude-pluginsWrote 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/trueclicks/claude-plugins/skill-133-impression-share-loss-analysis)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-133-impression-share-loss-analysis"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-133-impression-share-loss-analysis/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/trueclicks/claude-plugins/skill-133-impression-share-loss-analysis"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-133-impression-share-loss-analysis.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 | $0.00025 | $0.00656 |
| Opus 5.5 | $0.00010 | $0.00262 |
| Sonnet 5.5 | $0.00005 | $0.00131 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
skill-133-impression-share-loss-analysis 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 21d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 133: Impression Share Loss Analysis by Cause
Purpose
Segment impression share loss between budget constraints and ad rank issues to determine whether campaigns need more budget, better Quality Scores, or higher bids. This prioritization prevents wasting optimization effort on the wrong problem.
Data Requirements
Data Source: Custom GAQL Required
Impression share loss metrics require custom GAQL queries.
GAQL Query:
SELECT
campaign.name,
campaign.status,
metrics.impressions,
metrics.search_impression_share,
metrics.search_budget_lost_impression_share,
metrics.search_rank_lost_impression_share,
metrics.search_top_impression_share,
metrics.search_absolute_top_impression_share,
metrics.cost_micros
FROM campaign
WHERE campaign.advertising_channel_type = 'SEARCH'
AND campaign.status = 'ENABLED'
AND segments.date DURING LAST_30_DAYS
Run via /google-ads:get-custom with query name impression_share_loss.
Analysis Steps
- Fetch IS loss data: Run GAQL query for impression share metrics
- Calculate total lost IS: Sum budget lost + rank lost for each campaign
- Categorize campaigns: Budget-constrained (>15% budget loss), Rank-constrained (>15% rank loss), Both, or Optimized
- Estimate opportunity: Calculate potential impressions from recovered IS
- Diagnose root causes: For rank loss, check QS; for budget loss, check exhaustion patterns
Thresholds
| Condition | Severity |
|---|---|
| Budget Lost IS > 20% on profitable campaign | Critical |
| Rank Lost IS > 30% | Critical |
| Both budget and rank > 15% each | Warning |
| Any IS loss > 10% | Info |
Output
Short format (default):
## Impression Share Loss Audit
**Account:** [Name] | **Avg Search IS:** [X]% | **Campaigns with Issues:** [Y]
### Loss Summary
| Loss Type | Campaigns | Avg Loss |
|-----------|-----------|----------|
| Budget-Constrained | [X] | [Y]% |
| Rank-Constrained | [X] | [Y]% |
| Both | [X] | [Y]% |
| Well-Optimized | [X] | <10% |
### Budget-Constrained Campaigns
- **[Campaign]**: [X]% lost to budget → Increase budget by $[Y]/day
### Rank-Constrained Campaigns
- **[Campaign]**: [X]% lost to rank, avg QS [Y] → Improve QS
### Recommendations
1. Address rank issues first (more efficient)
2. Increase budgets on [X] campaigns after rank improvements
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.
- 21d ago First seen · 86 lines · 25 tokens per session scan A 163d6c13087b
skill-133-impression-share-loss-analysis is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 25 tokens to every session and 656 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-08.
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