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-057-ad-schedule-optimizationgit 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-057-ad-schedule-optimization)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-057-ad-schedule-optimization"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-057-ad-schedule-optimization/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-057-ad-schedule-optimization"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-057-ad-schedule-optimization.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 | $0.00027 | $0.00759 |
| Opus 5.5 | $0.00011 | $0.00304 |
| Sonnet 5.5 | $0.00005 | $0.00152 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade A, and why
skill-057-ad-schedule-optimization 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 057: Ad Schedule (Dayparting) Optimization
Purpose
Performance varies by time of day and day of week. This skill analyzes hourly and daily performance patterns, identifies high and low converting periods, and recommends schedule adjustments or bid modifications. Note: For Smart Bidding, only complete schedule exclusions are honored.
Data Requirements
Data Source: Custom GAQL Required
The standard export does not include time-segmented performance metrics.
Standard Data:
data/account/campaigns/*/campaign.md- Current ad schedule settings
GAQL Queries:
Hourly Performance:
SELECT
campaign.name,
campaign.id,
segments.hour,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions,
metrics.conversions_value
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
AND metrics.impressions > 0
Day of Week Performance:
SELECT
campaign.name,
campaign.id,
segments.day_of_week,
metrics.impressions,
metrics.clicks,
metrics.cost_micros,
metrics.conversions,
metrics.conversions_value
FROM campaign
WHERE segments.date DURING LAST_30_DAYS
AND metrics.impressions > 0
Run via /google-ads:get-custom with query names hourly_performance and daily_performance.
Analysis Steps
-
Fetch time-segmented performance data: Run hourly and day-of-week queries, load current ad schedule settings.
-
Calculate performance metrics: CVR, CPA, ROAS per time segment. Efficiency Ratio = Conversion Share / Cost Share.
-
Identify optimization opportunities: High-value (Efficiency Ratio >1.2), Low-value (<0.8), Exclusion candidates (zero conversions with spend).
-
Generate schedule recommendations: Bid increases/decreases for Manual CPC, potential exclusions for all strategies.
Thresholds
| Condition | Severity |
|---|---|
| Time period with zero conversions + >$100 spend | Critical |
| Efficiency Ratio <0.50 | High |
| Efficiency Ratio >1.50 | High (increase opportunity) |
| Efficiency Ratio 0.50-0.75 | Warning |
| Efficiency Ratio 1.25-1.50 | Warning (increase opportunity) |
| Efficiency Ratio 0.90-1.10 | Info |
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 · 103 lines · 27 tokens per session scan A 11e1a83702ce
skill-057-ad-schedule-optimization is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 27 tokens to every session and 759 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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