skill-040-target-cpa-roas-realism-check

skill-040-target-cpa-roas-realism-check is a skill for Claude Code from TrueClicks/claude-plugins. It costs 28 tokens per session (753 once invoked), scanned A, original, MIT.

A concise set of coding rules for Chassis, a decorator-based TypeScript web framework using Express 5. It summarizes how to add routes, validate input, handle errors, and verify changes.

In plain words
What is it for?
Scaffolding resources, adding controller endpoints, returning responses, validating requests, accessing configuration, and running type checks, linting, and tests.
Why use it?
It provides the key project conventions in one place so new code fits the existing structure.

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 Scaffolding resources, adding controller endpoints, returning responses, validating requests, accessing configuration, and running type checks, linting, and tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trueclicks/claude-plugins/skill-040-target-cpa-roas-realism-check
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-040-target-cpa-roas-realism-check
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-040-target-cpa-roas-realism-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-040-target-cpa-roas-realism-check/github.svg)](https://agentmods.dev/skills/trueclicks/claude-plugins/skill-040-target-cpa-roas-realism-check)
Your own site
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-040-target-cpa-roas-realism-check"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-040-target-cpa-roas-realism-check/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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-040-target-cpa-roas-realism-check"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-040-target-cpa-roas-realism-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 753 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 $0.00028 $0.00753
Opus 5 $0.00014 $0.00377
Sonnet 5 $0.00006 $0.00151
Haiku 4.5 $0.00003 $0.00075

Measured 11d ago against content hash 888f2a578340, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

skill-040-target-cpa-roas-realism-check 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 11d 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-040-target-cpa-roas-realism-check/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 040: Target CPA/ROAS Realism Check

Purpose

Unrealistic bidding targets cause significant issues: too aggressive targets lose auctions and volume drops; too conservative targets cause overspending and inefficiency. This skill validates whether current targets match historical performance and identifies campaigns where targets are limiting volume or wasting budget.

Data Requirements

Data Source: Standard

Standard Data:

  • data/account/campaigns/*/campaign.md - Target CPA, Target ROAS settings
  • data/account/bidding_strategies.md - Portfolio strategy targets
  • data/performance/campaigns/*/campaign_metrics_30_days.md - Actual CPA, ROAS achieved

Reference GAQL:

SELECT
  campaign.id,
  campaign.name,
  campaign.bidding_strategy_type,
  campaign.target_cpa.target_cpa_micros,
  campaign.target_roas.target_roas,
  metrics.cost_micros,
  metrics.conversions,
  metrics.conversions_value,
  segments.date
FROM campaign
WHERE segments.date BETWEEN '{start_date}' AND '{end_date}'
  AND campaign.status = 'ENABLED'

Use /google-ads:get-custom for trend analysis over longer periods. Replace {start_date} and {end_date} with actual dates (e.g., 90-day window). Note: LAST_90_DAYS is not a valid GAQL date range; use BETWEEN with explicit dates instead.

Analysis Steps

  1. Extract current targets: Target CPA or Target ROAS for each campaign
  2. Calculate historical actuals: 30-day actual CPA/ROAS, 14-day trend, 7-day immediate trend
  3. Compare targets vs actuals: Target within +/-10% = aligned, 20-30% below = aggressive, >30% below = unrealistic
  4. Assess volume impact: Check budget utilization, declining conversions, stuck learning
  5. Calculate recommended targets: Based on recent performance, weighted toward recent data

Thresholds

Condition Severity
Target >30% below actual Critical (unrealistic)
Budget utilization <50% + aggressive target Critical
Target 20-30% below actual Warning (aggressive)
Target >30% above actual Warning (over-conservative)
Target within 10% of actual Info (well-calibrated)

Read the full file on GitHub · 82 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. 11d ago First seen · 82 lines · 28 tokens per session scan A 888f2a578340

Subscribe to this mod's changes

skill-040-target-cpa-roas-realism-check is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 753 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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