skill-029-rsa-asset-performance-analysis

skill-029-rsa-asset-performance-analysis is a skill for Claude Code from TrueClicks/claude-plugins. It costs 22 tokens per session (627 once invoked), scanned A, original, MIT.

An analysis of individual headlines and descriptions in responsive search ads. Responsive search ads combine several supplied text options, and Google labels each option’s performance.

In plain words
What is it for?
Reviewing headline and description ratings by campaign and ad group. It helps list weak text and suggest replacement ideas based on stronger assets.
Why use it?
It finds text options marked Low so they can be replaced using patterns from better-performing options. It also separates options that are still learning or lack enough data.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the google-ads plugin — 52 skills, 4 commands shipped together

Good fit Reviewing headline and description ratings by campaign and ad group. It helps list weak text and suggest replacement ideas based on stronger assets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trueclicks/claude-plugins/skill-029-rsa-asset-performance-analysis
Install

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.

Any agent
npx skills add TrueClicks/claude-plugins --skill skill-029-rsa-asset-performance-analysis
Clone the repo
git clone --depth 1 https://github.com/TrueClicks/claude-plugins

Made for: Claude Code.

Or install google-ads, the plugin that ships this one along with the rest of its 52 skills, 4 commands.

Wrote 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.

agentmods badge for skill-029-rsa-asset-performance-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-029-rsa-asset-performance-analysis/github.svg)](https://agentmods.dev/skills/trueclicks/claude-plugins/skill-029-rsa-asset-performance-analysis)
Your own site
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-029-rsa-asset-performance-analysis"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-029-rsa-asset-performance-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.

agentmods 80×15 button for skill-029-rsa-asset-performance-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-029-rsa-asset-performance-analysis"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-029-rsa-asset-performance-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 627 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.00627
Opus 5 $0.00011 $0.00313
Sonnet 5 $0.00004 $0.00125
Haiku 4.5 $0.00002 $0.00063

Measured 9d ago against content hash 8565ce8c47ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

skill-029-rsa-asset-performance-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 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.

plugins/google-ads/skills/skill-029-rsa-asset-performance-analysis/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 029: RSA Asset Performance Analysis

Purpose

Google rates individual RSA assets (headlines, descriptions) as Best, Good, Low, or Learning. Low-rated assets reduce overall ad effectiveness and should be replaced. This analysis identifies underperformers and suggests replacements based on high-performing asset patterns.

Data Requirements

Data Source: Custom GAQL Required

Standard export does not include asset-level performance ratings.

GAQL Query:

SELECT
  campaign.name,
  ad_group.name,
  ad_group_ad.ad.id,
  ad_group_ad_asset_view.field_type,
  ad_group_ad_asset_view.performance_label,
  asset.text_asset.text,
  asset.type,
  metrics.impressions,
  metrics.clicks
FROM ad_group_ad_asset_view
WHERE ad_group_ad.status = 'ENABLED'
  AND segments.date DURING LAST_30_DAYS
ORDER BY ad_group_ad_asset_view.performance_label DESC

Run via /google-ads:get-custom with query name asset_performance.

Analysis Steps

  1. Categorize assets by rating: Best (keep/replicate), Good (no action), Low (replace), Learning (need data), Unrated (insufficient data)
  2. Identify Low-rated assets: List all headlines and descriptions rated Low with their campaign/ad group
  3. Analyze low-performer patterns: Common themes, length patterns, missing elements (CTA, benefit)
  4. Identify high-performer patterns: What makes Best-rated assets work - use for replacement suggestions
  5. Generate replacement recommendations: Based on high-performing patterns, maintain diversity

Thresholds

Condition Severity
>20% of assets rated Low Critical
Low asset in high-spend campaign Critical
Any asset rated Low Warning
No Best assets in RSA Warning
All assets Learning (new RSA) Info

Output

Short (default):

## RSA Asset Performance Audit
**Account:** [Name] | **Assets:** [X] | **Low-rated:** [Y]%

### Replace (Low-rated) ([Count])
- **[Campaign] / [Ad Group]**: "[Low asset text]" -> Suggested: "[replacement based on Best patterns]"

### Top Performers to Replicate
- "[Best asset text]" - [X] campaigns, [Y]% CTR

### Summary
| Rating | Headlines | Descriptions |
|--------|-----------|--------------|
| Best | X | X |
| Good | X | X |
| Low | X | X |
| Learning | X | X |

### Recommendations
1. [Priority replacement action]

Read the full file on GitHub · 84 lines

Changes

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.

  1. 9d ago First seen · 84 lines · 22 tokens per session scan A 8565ce8c47ac

Subscribe to this mod's changes

skill-029-rsa-asset-performance-analysis is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 627 once invoked, about $0.0001 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 2026-08-31.

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