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 Humblytics/humblytics-marketing-skills --skill ad-expertgit clone --depth 1 https://github.com/Humblytics/humblytics-marketing-skillsWrote 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/humblytics/humblytics-marketing-skills/ad-expert)<a href="https://agentmods.dev/skills/humblytics/humblytics-marketing-skills/ad-expert"><img src="https://agentmods.dev/badge/skills/humblytics/humblytics-marketing-skills/ad-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/humblytics/humblytics-marketing-skills/ad-expert"><img src="https://agentmods.dev/badge/skills/humblytics/humblytics-marketing-skills/ad-expert.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 Privilege Escalation · line 134 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00112 | $0.03339 |
| Opus 5 | $0.00056 | $0.01670 |
| Sonnet 5 | $0.00022 | $0.00668 |
| Haiku 4.5 | $0.00011 | $0.00334 |
Grade A, and why
ad-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 13d 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 — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Expert
Purpose
Plan, create, and optimize paid advertising campaigns across all major platforms. Covers the full lifecycle from strategy and audience research through creative development, copywriting, campaign structure, and performance optimization.
When to Use
- Planning a new paid advertising campaign on any platform
- Writing ad copy (headlines, descriptions, primary text, CTAs)
- Designing audience targeting strategies
- Structuring campaigns, ad sets, and ad groups
- Creating creative briefs for ad visuals or video
- Optimizing existing campaigns for better ROAS
- Deciding budget allocation across platforms
- Researching competitor ad strategies
Before You Start
- Understand the product/offer — What is being advertised? What is the value proposition?
- Identify the goal — Awareness, traffic, leads, sales, app installs?
- Define the audience — Who is the ideal customer? Demographics, interests, behaviors, pain points.
- Budget — What is the daily/monthly ad budget?
- Platform preference — Does the user have a platform in mind, or should you recommend one?
- Existing data — Any historical ad performance data? Humblytics analytics on landing page performance?
- Creative assets — What images, videos, or brand assets are available?
- Look for context — Check project docs for brand guidelines, tone of voice, and competitive positioning
Platform Selection Guide
Meta (Facebook + Instagram)
Best for: B2C, e-commerce, local businesses, SaaS with broad appeal, retargeting Audience size: 3B+ monthly active users Strengths: Visual storytelling, lookalike audiences, retargeting pixel, broad targeting with AI optimization Ad formats: Single image, carousel, video, Stories, Reels, collection, lead forms Typical CPM: $5-15 (varies by audience and objective)
Campaign structure:
Campaign (1 objective)
└── Ad Set (audience + placement + budget)
└── Ad (creative + copy)
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.
- 13d ago First seen · 265 lines · 112 tokens per session scan A b736fb06183f
ad-expert is a skill published in the GitHub repository Humblytics/humblytics-marketing-skills (84 stars, last pushed 8d ago), licensed MIT. It adds 112 tokens to every session and 3,339 once invoked, about $0.0006 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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