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 notque/vexjoy-agent --skill marketinggit clone --depth 1 https://github.com/notque/vexjoy-agentWrote 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/notque/vexjoy-agent/marketing)<a href="https://agentmods.dev/skills/notque/vexjoy-agent/marketing"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/marketing.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.04658 |
| Opus 5 | $0.00013 | $0.02329 |
| Sonnet 5 | $0.00005 | $0.00932 |
| Haiku 4.5 | $0.00003 | $0.00466 |
Grade A, and why
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 8d 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 — 433 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing
Umbrella skill for marketing workflows: SEO audits, campaign planning, content strategy, email sequences, competitive analysis, brand review, and performance reporting. Each mode loads its own reference files on demand -- this skill detects the mode, loads the right references, and executes the appropriate framework.
Scope: Marketing strategy, content, and analysis. Use business-ops for executive-level growth decisions, voice-writer for voice-calibrated content, publish for blog pipeline mechanics, and research-pipeline for formal multi-source research.
Reference Loading Table
Classify the user's request into exactly one mode before proceeding. If the request spans multiple modes, choose the primary one and note the secondary.
| Mode | Signal Phrases | Reference |
|---|---|---|
| SEO_AUDIT | SEO audit, keyword research, content gaps, technical SEO, on-page analysis, competitor SEO | references/seo-audit.md |
| CAMPAIGN | Campaign plan, product launch, lead gen, awareness campaign, channel strategy, budget allocation | references/campaign-planning.md |
| CONTENT | Content strategy, editorial calendar, content framework, funnel mapping, blog structure, content types | references/content-strategy.md |
| Email sequence, drip campaign, nurture flow, onboarding emails, re-engagement, email automation | references/email-sequences.md |
|
| COMPETITIVE | Competitive analysis, competitor research, battlecard, positioning comparison, market landscape | references/seo-audit.md (competitor section) + references/campaign-planning.md (positioning) |
| BRAND | Brand review, voice check, style guide, messaging consistency, tone audit | references/content-strategy.md (voice section) |
| PERFORMANCE | Marketing report, performance analysis, campaign results, metrics summary, ROI analysis | references/campaign-planning.md (metrics section) |
Load the reference(s) required by the detected mode. Always load references/llm-marketing-failure-modes.md regardless of mode — it contains detection heuristics and concrete examples for every marketing failure pattern below.
What ships with it
5 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.
- 8d ago First seen · 433 lines · 25 tokens per session scan A a189f25d3311
marketing is a skill published in the GitHub repository notque/vexjoy-agent (419 stars, last pushed 3d ago), licensed MIT. It adds 25 tokens to every session and 4,658 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 2026-08-30.
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