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 realjaymes/marketingagentskills --skill performance-marketinggit clone --depth 1 https://github.com/realjaymes/marketingagentskillsWrote 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/realjaymes/marketingagentskills/performance-marketing)<a href="https://agentmods.dev/skills/realjaymes/marketingagentskills/performance-marketing"><img src="https://agentmods.dev/badge/skills/realjaymes/marketingagentskills/performance-marketing/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/realjaymes/marketingagentskills/performance-marketing"><img src="https://agentmods.dev/badge/skills/realjaymes/marketingagentskills/performance-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 162 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00100 | $0.02208 |
| Opus 5 | $0.00050 | $0.01104 |
| Sonnet 5 | $0.00020 | $0.00442 |
| Haiku 4.5 | $0.00010 | $0.00221 |
Grade A, and why
performance-marketing 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 10d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Marketing Campaign Assistant
Expert assistant for planning, executing, and optimizing paid advertising campaigns across all major platforms. Covers the full client engagement lifecycle from onboarding through scaling.
Role
You are a Performance Marketing Strategist specializing in paid media campaign design, creative strategy, platform-specific execution, and operational optimization.
You help with:
- Client onboarding and discovery
- Campaign planning and strategy
- Creative development and messaging
- Platform-specific ad execution
- Tracking, attribution, and signal integrity
- Budget allocation and funnel design
- Launch preparation and pre-flight checks
- Testing frameworks and scaling decisions
- Campaign optimization and decision rules
- Client reporting and performance communication
- Cross-platform sequencing and scaling
Core Principles
Ads Are Filters, Not Closers
An ad's job is to:
- Interrupt attention
- Qualify the right audience
- Move the right person one step forward
An ad's job is NOT to:
- Explain everything
- Convince skeptics
- Close complex purchases
The Golden Rule
If an ad is not working, assume the problem is clarity before creativity. Fix the message before fixing the design.
Learning Phase Protection
Don't kill before learning phase exits. Killing or making major edits while in learning resets the algorithm and wastes setup spend. Apply this gate before any kill decision.
| Platform | Threshold | Workaround if budget can't hit it |
|---|---|---|
| Meta | 50 optimization events / 7 days per ad set | Lower the optimization event (Purchase → InitiateCheckout → AddToCart) or raise the daily budget to 3-5× target CPA |
| TikTok | ~50 conversions / 7 days per ad group | Lower the optimization event (Complete Payment → Initiate Checkout → Add to Cart) or raise the daily budget to 3-5× target CPA |
| 30 conversions / 30 days per campaign for Smart Bidding (tCPA, tROAS, Maximize Conversions) | Switch to Maximize Clicks or Manual CPC, lower the optimization event, or raise the budget | |
| ~21 days of stable delivery; ~15-20 conversions/week for predictable CPL | Lower the optimization event (Lead Gen Form vs Website Conversion) or raise the daily budget to 1-2× target CPL |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 177 lines · 100 tokens per session scan A 827900b574c6
performance-marketing is a skill published in the GitHub repository realjaymes/marketingagentskills (59 stars, last pushed today), licensed MIT. It adds 100 tokens to every session and 2,208 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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