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 forsvn-labs/meta-skills --skill create-paid-campaigngit clone --depth 1 https://github.com/forsvn-labs/meta-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/forsvn-labs/meta-skills/create-paid-campaign)<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/create-paid-campaign"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/create-paid-campaign/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/forsvn-labs/meta-skills/create-paid-campaign"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/create-paid-campaign.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 | $0.00062 | $0.00459 |
| Opus 5.5 | $0.00025 | $0.00184 |
| Sonnet 5.5 | $0.00012 | $0.00092 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
create-paid-campaign 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 2mo 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.
What it actually says
Create a paid campaign
Design the smallest paid test that can answer a consequential question. Do not treat spend, reach, or clicks as the strategy.
Establish the ad contract
Choose one network, one audience segment, one temperature, one offer, and one destination per test. Verify current network formats, targeting availability, and policy when they affect the work.
Define:
- costly moment and audience qualification;
- promise, mechanism, proof, and main objection;
- offer and proportionate next action;
- what the landing page must repeat;
- primary business signal and diagnostic platform metrics.
Do not invent customer proof, performance benchmarks, targeting precision, or policy clearance.
Create discriminating variants
Write finished network-native ads. Variants must test different hypotheses—not synonyms. For each, provide the required components, such as primary text, headline, description, CTA, search headline, or video hook.
Brief creative around product evidence, mechanism, or a real transformation. Keep ad, creative, offer, and destination congruent. Identify claims or visual behavior that must be verified before launch.
Budget learning
Use current auction/input evidence when available. Fund the minimum viable test that can answer its question, or recommend zero spend.
Specify:
- budget ceiling and allocation;
- sample or observation requirement;
- primary decision signal;
- diagnostics and guardrails;
- keep, revise, stop, and reallocation conditions;
- attribution limits and likely confounders.
Evaluate one network/segment at a time. A high click-through rate cannot override poor qualified conversion or a safety/compliance failure.
Deliver
Return the audience/offer contract, finished ad set, creative direction, destination requirements, budget/test table, evaluation plan, and exact human approval boundary. Never launch, spend, upload audiences, or change a live account without explicit approval for that action.
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.
- 2mo ago First seen · 62 lines · 62 tokens per session scan A 69eac7c1370b
create-paid-campaign is a skill published in the GitHub repository forsvn-labs/meta-skills (14 stars, last pushed 5d ago), licensed MIT. It adds 62 tokens to every session and 459 once invoked, about $0.0002 per session on Opus 5.5. 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.
create-paid-campaign compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| create-paid-campaignforsvn-labs/meta-skills | Skill | 14 | 5d ago | MIT | A | 62 | Claude Code, Codex |
| x-tweet-by-conversationbrowser-act/skills | Skill | 6.3k | 2d ago | MIT | A | 218 | Claude Code, Codex |
| oma-scholarfirst-fluke/oh-my-agent | Skill | 1.4k | yesterday | MIT | A | 30 | Claude Code |
| pkf-writingPrismer-AI/PrismerCloud | Skill | 1.4k | 15d ago | MIT | A | 78 | Claude Code, Codex |
| monorepo-managementwshobson/agents | Skill | 42k | yesterday | MIT | C | 54 | Claude Code |
| render-3d-product-showcasegooseworks-ai/goose-skills | Skill | 1.3k | 11d ago | MIT | A | 159 | Claude Code, Codex |
| render-airdrop-carouselgooseworks-ai/goose-skills | Skill | 1.3k | 11d ago | MIT | A | 207 | Claude Code, Codex |