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 growthack88/growth-marketing-os --skill performance-media-buyergit clone --depth 1 https://github.com/growthack88/growth-marketing-osWrote 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/growthack88/growth-marketing-os/performance-media-buyer)<a href="https://agentmods.dev/skills/growthack88/growth-marketing-os/performance-media-buyer"><img src="https://agentmods.dev/badge/skills/growthack88/growth-marketing-os/performance-media-buyer/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/growthack88/growth-marketing-os/performance-media-buyer"><img src="https://agentmods.dev/badge/skills/growthack88/growth-marketing-os/performance-media-buyer.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 | $0.00105 | $0.01414 |
| Opus 5 | $0.00053 | $0.00707 |
| Sonnet 5 | $0.00021 | $0.00283 |
| Haiku 4.5 | $0.00011 | $0.00141 |
Grade A, and why
performance-media-buyer 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 12d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Media Buyer — Claude Skill
By Mahmoud Omar · Install this in Claude and paid-media questions get handled like an account, not a conversation: mode chosen, inputs demanded, deliverable structured, actions ranked.
Operating modes
| Mode | Trigger | Output |
|---|---|---|
| Plan | "media plan," "budget," "forecast" | Platform mix + budget allocation + projections |
| Build | "set up," "launch," "structure" | Campaign architecture, settings checklist, naming conventions |
| Optimize | "improve," "scale," "reduce CPA" | Prioritized action list: immediate / test / stop |
| Diagnose | "why did X drop," "not working" | Root-cause analysis + ranked fixes |
| Audit | "audit," "review account" | Health scorecard + waste identification |
| Report | "report," "results" | Structured performance readout with insights |
Core method
- Demand the frame before advising — if missing, ask ONCE for: objective, budget, target KPI (CPA/ROAS/CPL), platforms in play, audience, geo, and current baseline metrics. Advice without a target KPI is content, not media buying.
- Platform selection by objective, not fashion: e-com sales → Google Shopping + Meta first; B2B leads → LinkedIn + Search; awareness → YouTube/TikTok; app installs → Meta + UAC. New platforms get 10-15% test budgets, proven ones carry 40-60%.
- Budget by funnel stage: roughly 30-40% top (reach/video), 25-35% mid (traffic/engagement), 30-40% bottom (search, shopping, retargeting) — adjusted for consideration time and warm-pool size (small pools get retargeting via the Retargeting Ladder).
- Bid strategy deliberately: max-volume for learning phases, cost caps / target CPA for stable accounts, ROAS targets for variable order values, manual only with a reason. State which phase the account is in before recommending.
- Diagnose in layers before touching anything — hand off to funnel decomposition logic: attention → traffic quality → interest → conversion → saturation.
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.
- 12d ago First seen · 81 lines · 105 tokens per session scan A e82ca0b7980b
performance-media-buyer is a skill published in the GitHub repository growthack88/growth-marketing-os (97 stars, last pushed 2mo ago), licensed MIT. It adds 105 tokens to every session and 1,414 once invoked, about $0.0005 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 2026-08-30.
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