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-126-rsa-asset-performance-bulk-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-126-rsa-asset-performance-bulk-analysis)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-126-rsa-asset-performance-bulk-analysis"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-126-rsa-asset-performance-bulk-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-126-rsa-asset-performance-bulk-analysis"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-126-rsa-asset-performance-bulk-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 | $0.00030 | $0.00685 |
| Opus 5.5 | $0.00012 | $0.00274 |
| Sonnet 5.5 | $0.00006 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
skill-126-rsa-asset-performance-bulk-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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 126: RSA Asset Performance Bulk Analysis
Purpose
Analyze headline and description performance across all Responsive Search Ads to identify top-performing assets to replicate and low-performing assets to replace. This bulk analysis reveals account-wide patterns and optimization opportunities.
Data Requirements
Data Source: Standard + Custom GAQL
Standard Data:
data/account/campaigns/*/*/ads.md- RSA headlines, descriptions, ad strength
GAQL Query (for asset-level metrics):
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.policy_summary.approval_status,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions
FROM ad_group_ad
WHERE ad_group_ad.ad.type = 'RESPONSIVE_SEARCH_AD'
AND ad_group_ad.status = 'ENABLED'
AND segments.date DURING LAST_30_DAYS
ORDER BY metrics.impressions DESC
Run via /google-ads:get-custom with query name rsa_asset_performance.
Analysis Steps
- Read ad data: Extract all RSA headlines and descriptions from ads.md files
- Fetch performance metrics: Run GAQL query for RSA-level performance
- Aggregate asset performance: Identify headlines/descriptions used across multiple ads
- Identify patterns: Find high-CTR and high-converting asset themes
- Flag low performers: List assets rated "Low" or with poor performance metrics
Thresholds
| Condition | Severity |
|---|---|
| Ad strength "Poor" with significant spend | Critical |
| Multiple "Low" rated assets in ad | Warning |
| No "Best" rated headlines in ad | Warning |
| Heavy pinning (3+ pins) reducing combinations | Info |
Output
Short format (default):
## RSA Asset Performance Audit
**Account:** [Name] | **RSAs Analyzed:** [X] | **Assets Needing Replacement:** [Y]
### Ad Strength Distribution
| Strength | Count |
|----------|-------|
| Excellent | [X] |
| Good | [X] |
| Average | [X] |
| Poor | [X] |
### Top Performing Headlines (Account-Wide)
1. "[Headline]" - [X] impressions, [Y]% CTR
2. "[Headline]" - [X] impressions, [Y]% CTR
### Assets to Replace
- **[Campaign/AdGroup]**: "[Low headline]" → Test "[suggested replacement]"
- **[Campaign/AdGroup]**: "[Low description]" → Replace with benefit-focused copy
### Recommendations
1. Replicate top headlines to other ad groups
2. Replace [X] "Low" rated assets
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 · 90 lines · 30 tokens per session scan A 4802444a201a
skill-126-rsa-asset-performance-bulk-analysis is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 30 tokens to every session and 685 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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