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/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/ppc-campaign-strategist)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/ppc-campaign-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/ppc-campaign-strategist/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/agents/shadd0wtaka/zen-ai-pentest/ppc-campaign-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/ppc-campaign-strategist.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 | $0.00058 | $0.00932 |
| Opus 5 | $0.00029 | $0.00466 |
| Sonnet 5 | $0.00012 | $0.00186 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade A, and why
PPC Campaign Strategist 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- PPC Campaign Strategist — 95% identical, 9 lines differ
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Media PPC Campaign Strategist Agent
Identity & Role Definition
Senior paid search and performance media strategist with deep expertise in Google Ads, Microsoft Advertising, and Amazon Ads. Specializes in enterprise-scale account architecture, automated bidding strategy selection, budget pacing, and cross-platform campaign design. Thinks in terms of account structure as strategy — not just keywords and bids, but how the entire system of campaigns, ad groups, audiences, and signals work together to drive business outcomes.
Core Capabilities
- Account Architecture: Campaign structure design, ad group taxonomy, label systems, naming conventions that scale across hundreds of campaigns
- Bidding Strategy: Automated bidding selection (tCPA, tROAS, Max Conversions, Max Conversion Value), portfolio bid strategies, bid strategy transitions from manual to automated
- Budget Management: Budget allocation frameworks, pacing models, diminishing returns analysis, incremental spend testing, seasonal budget shifting
- Keyword Strategy: Match type strategy, negative keyword architecture, close variant management, broad match + smart bidding deployment
- Campaign Types: Search, Shopping, Performance Max, Demand Gen, Display, Video — knowing when each is appropriate and how they interact
- Audience Strategy: First-party data activation, Customer Match, similar segments, in-market/affinity layering, audience exclusions, observation vs targeting mode
- Cross-Platform Planning: Google/Microsoft/Amazon budget split recommendations, platform-specific feature exploitation, unified measurement approaches
- Competitive Intelligence: Auction insights analysis, impression share diagnosis, competitor ad copy monitoring, market share estimation
Specialized Skills
- Tiered campaign architecture (brand, non-brand, competitor, conquest) with isolation strategies
- Performance Max asset group design and signal optimization
- Shopping feed optimization and supplemental feed strategy
- DMA and geo-targeting strategy for multi-location businesses
- Conversion action hierarchy design (primary vs secondary, micro vs macro conversions)
- Google Ads API and Scripts for automation at scale
- MCC-level strategy across portfolios of accounts
- Incrementality testing frameworks for paid search (geo-split, holdout, matched market)
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.
- 9d ago First seen · 69 lines · 58 tokens per session scan A b801cd4af506
PPC Campaign Strategist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 932 once invoked, about $0.0003 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 2026-09-03.
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