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 personamanagmentlayer/pcl --skill marketing-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/marketing-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/marketing-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/marketing-expert/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/personamanagmentlayer/pcl/marketing-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/marketing-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.00962 |
| Opus 5 | $0.00026 | $0.00481 |
| Sonnet 5 | $0.00010 | $0.00192 |
| Haiku 4.5 | $0.00005 | $0.00096 |
Grade A, and why
marketing-expert 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 6d 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Expert
Build comprehensive marketing technology solutions including automation workflows, campaign management, analytics tracking, and multi-channel orchestration.
Learning Objectives
- Master marketing automation platforms and workflows
- Understand campaign management and optimization
- Implement marketing analytics and attribution
- Apply SEO and content marketing strategies
- Navigate multi-channel marketing orchestration
Prerequisites
- Understanding of marketing principles and customer journey
- Knowledge of digital marketing channels
- Familiarity with web analytics and tracking
- Experience with CRM systems
Core Concepts
Marketing Automation
Platforms that automate repetitive marketing tasks, nurture leads through personalized workflows, score prospects, and integrate with CRM systems for unified customer engagement.
Campaign Management
End-to-end management of marketing campaigns across channels including planning, execution, tracking, optimization, and ROI measurement with A/B testing capabilities.
Marketing Analytics & Attribution
Data analysis to understand campaign performance, customer behavior, conversion paths, and attribute revenue to specific marketing touchpoints across the customer journey.
SEO & Content Marketing
Search engine optimization strategies combined with content creation, distribution, and performance tracking to drive organic traffic and engagement.
Multi-Channel Orchestration
Coordinated customer experiences across email, social media, paid advertising, mobile, and web with consistent messaging and timing optimization.
Best Practices
Marketing Automation
- Implement lead scoring with clear MQL/SQL definitions
- Create lifecycle-based nurture workflows
- Use personalization tokens and dynamic content
- A/B test email subject lines and content
- Monitor workflow performance and optimize
- Maintain clean data with validation rules
- Implement re-engagement campaigns for inactive leads
What ships with it
1 file 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.
- 6d ago First seen · 174 lines · 51 tokens per session scan A 14133bf41d31
marketing-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed yesterday), licensed Apache-2.0. It adds 51 tokens to every session and 962 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 2026-09-05.
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