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.
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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/commands/ad-superpowers/ad-superpowers-plugin/quarterly-business-review)<a href="https://agentmods.dev/commands/ad-superpowers/ad-superpowers-plugin/quarterly-business-review"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/quarterly-business-review/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/commands/ad-superpowers/ad-superpowers-plugin/quarterly-business-review"><img src="https://agentmods.dev/badge/commands/ad-superpowers/ad-superpowers-plugin/quarterly-business-review.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 | $0.00023 | $0.00759 |
| Opus 5 | $0.00012 | $0.00380 |
| Sonnet 5 | $0.00005 | $0.00152 |
| Haiku 4.5 | $0.00002 | $0.00076 |
Grade A, and why
quarterly-business-review 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quarterly Business Review (QBR)
Generate a comprehensive quarterly business review covering all connected advertising platforms.
Step 1: Define Review Period
Ask the user for:
- Quarter: Q1/Q2/Q3/Q4 and year
- Comparison period: Previous quarter and/or same quarter last year
- Business context: Any major changes (new products, market shifts, seasonal events)
Step 2: Gather Cross-Platform Data
Pull 90-day data from all connected platforms:
Meta Ads:
meta_get_insightswith date_preset="last_90d" at account and campaign level
Google Ads:
google_ads_run_gaqlfor quarterly campaign performance with monthly segments
GA4:
ga4_run_reportfor website metrics, traffic sources, and conversion trends
LinkedIn Ads:
linkedin_get_analyticsfor quarterly B2B performance
TikTok Ads:
tiktok_get_reportfor quarterly campaign data
GSC:
gsc_search_analyticsfor organic search trends (90 days)
Step 3: Executive Summary
## Quarterly Business Review: [Client] — [Quarter Year]
### Executive Summary
- Total investment: €X (+/- X% vs previous quarter)
- Total conversions: X (+/- X%)
- Blended CPA: €X (+/- X%)
- Blended ROAS: Xx (+/- X%)
- Key achievement: [biggest win]
- Key challenge: [biggest issue]
Step 4: Platform Performance
| Platform | Q Spend | Conversions | CPA | ROAS | QoQ Change | Status |
|---|---|---|---|---|---|---|
| Meta | ... | ... | ... | ... | ... | ... |
| Google Ads | ... | ... | ... | ... | ... | ... |
| ... | ... | ... | ... | ... | ... | |
| TikTok | ... | ... | ... | ... | ... | ... |
| Total | ... | ... | ... | ... | ... | ... |
Step 5: Monthly Trend Analysis
Show month-by-month progression within the quarter:
| Month | Spend | Conversions | CPA | ROAS | Notable Events |
|---|
Step 6: Channel Analysis
For each active platform, analyze:
- What worked: Top campaigns, audiences, creatives
- What didn't: Underperformers, wasted spend, missed opportunities
- Key learnings: Data-driven insights for next quarter
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.
- 11d ago First seen · 94 lines · 23 tokens per session scan A a8bba20c524f
quarterly-business-review is a command published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 759 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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clarify
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specify
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