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 jeremylongworth-source/AgentSkills --skill paid-media-growthgit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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/jeremylongworth-source/agentskills/paid-media-growth)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/paid-media-growth"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/paid-media-growth/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/jeremylongworth-source/agentskills/paid-media-growth"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/paid-media-growth.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 | $0.00074 | $0.00505 |
| Opus 5 | $0.00037 | $0.00253 |
| Sonnet 5 | $0.00015 | $0.00101 |
| Haiku 4.5 | $0.00007 | $0.00051 |
Grade A, and why
paid-media-growth 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Media Growth
Core Workflow
- Define business goal, funnel stage, target audience, offer, budget, conversion event, and acceptable CAC/CPA/ROAS.
- Choose platform and objective based on buyer intent, audience reach, creative format, and measurement reliability.
- Build campaign structure around clear hypotheses: audience, message, offer, creative, landing page, and bid strategy.
- Confirm conversion tracking before scaling.
- Test creative and landing-page angles before over-optimizing micro settings.
- Optimize based on qualified outcomes, not only cheap clicks or low-quality leads.
Freshness Rule
Before giving platform-specific setup guidance, verify current official docs for Google Ads conversion goals, Meta campaign objectives/Advantage+ behavior, LinkedIn objectives/targeting, and any platform policy or UI changes. Objective names, automation defaults, conversion-location options, and bidding controls change often.
Platform Guidance
- Google Search: use when demand exists and intent can be captured through queries.
- LinkedIn: use for B2B targeting, account/persona reach, lead gen, and high-consideration offers.
- Meta: use for creative-led demand generation, retargeting, consumer offers, and broad audience testing.
- Retargeting: use as a reminder and objection-resolution layer, not as a substitute for demand creation.
Measurement Notes
- Google Ads optimization depends on conversion actions grouped into meaningful conversion goals, with primary actions eligible for bidding and reporting.
- Meta delivery depends heavily on the selected objective and conversion location; use the objective that matches the desired business outcome rather than optimizing for cheap proxy activity.
- LinkedIn campaign objectives determine available ad formats, bidding, and optimization choices.
Deliverable Shape
- Campaign goal and primary conversion
- Audience and targeting plan
- Offer and message angles
- Creative testing matrix
- Landing page requirements
- Budget and bidding plan
- Measurement and optimization cadence
- Risks and stop rules
What ships with it
2 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 · 49 lines · 74 tokens per session scan A 5d41909fbddf
paid-media-growth is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 10d ago), licensed MIT. It adds 74 tokens to every session and 505 once invoked, about $0.0004 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 2026-09-03.
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