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-148-seasonal-keyword-calendar-planninggit 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-148-seasonal-keyword-calendar-planning)<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-148-seasonal-keyword-calendar-planning"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-148-seasonal-keyword-calendar-planning/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-148-seasonal-keyword-calendar-planning"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-148-seasonal-keyword-calendar-planning.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 | $0.00676 |
| Opus 5.5 | $0.00011 | $0.00270 |
| Sonnet 5.5 | $0.00005 | $0.00135 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
skill-148-seasonal-keyword-calendar-planning 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill 148: Seasonal Keyword Calendar Planning
Purpose
Ensure seasonal keywords are created and active 4-6 weeks before peak periods. Late keyword launches miss the critical learning period - Smart Bidding needs 2-4 weeks to optimize, and Quality Score requires impression history. Launching during the peak means competing at a disadvantage.
Data Requirements
Data Source: Custom GAQL Required
Standard 30-day export may not include prior-year seasonal queries. Need historical search term data for seasonal periods.
Standard Data:
data/account/campaigns/*/ad_groups/*/keywords.md- Current keyword coveragedata/performance/campaigns/*/ad_groups/*/search_terms_metrics_30_days.md- Recent search terms
GAQL Query (Historical Seasonal Queries):
SELECT
campaign.name,
ad_group.name,
search_term_view.search_term,
metrics.impressions,
metrics.clicks,
metrics.conversions,
metrics.cost_micros
FROM search_term_view
WHERE campaign.status = 'ENABLED'
AND segments.date BETWEEN '[PRIOR_YEAR_SEASON_START]' AND '[PRIOR_YEAR_SEASON_END]'
AND metrics.conversions > 0
ORDER BY metrics.conversions DESC
LIMIT 500
Run via /google-ads:get-custom to identify high-converting seasonal queries from prior years.
Analysis Steps
- Map seasonal calendar: Identify all seasonal periods (holidays, industry peaks) for next 60 days
- Check current keyword coverage: Search existing keywords for seasonal modifiers (e.g., "black friday," "christmas," "2026")
- Pull historical queries: Query prior-year search terms during seasonal periods
- Identify gaps: Find high-converting seasonal queries not covered by existing keywords
- Verify timing: Confirm seasonal keywords are active 4+ weeks before event start
Thresholds
| Condition | Severity |
|---|---|
| Event within 4 weeks with no seasonal keywords active | Critical |
| High-converting prior-year query not covered as keyword | Warning |
| Seasonal keywords launching <4 weeks before peak | Warning |
| No seasonal ad copy variations prepared | Warning |
| Year-specific keywords (e.g., "2025") still active | 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 · 79 lines · 27 tokens per session scan A 3acc0324f710
skill-148-seasonal-keyword-calendar-planning 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 676 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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