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 rediumvex/ai-marketing-claude --skill market-adsgit clone --depth 1 https://github.com/rediumvex/ai-marketing-claudeWrote 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/rediumvex/ai-marketing-claude/market-ads)<a href="https://agentmods.dev/skills/rediumvex/ai-marketing-claude/market-ads"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/market-ads/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/rediumvex/ai-marketing-claude/market-ads"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-marketing-claude/market-ads.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 | $0.00081 | $0.01200 |
| Opus 5 | $0.00041 | $0.00600 |
| Sonnet 5 | $0.00016 | $0.00240 |
| Haiku 4.5 | $0.00008 | $0.00120 |
Grade A, and why
market-ads 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 12d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Ads — Platform-Native Ad Copy
Write ads that follow each platform's character limits, creative norms, and policy rules. Ads that break limits get rejected; ads that fit platform conventions perform better.
Platform Character Limits (2024+)
Meta (Facebook / Instagram)
| Element | Limit |
|---|---|
| Primary text | 125 chars recommended (2,200 max, truncates) |
| Headline | 27 chars recommended (40 max) |
| Description | 27 chars recommended |
| Link URL | Must be valid and match destination |
Google Search (Responsive Search Ads)
| Element | Limit | Count |
|---|---|---|
| Headline | 30 chars | 3–15 |
| Description | 90 chars | 2–4 |
| Final URL | — | 1+ |
| Path (display URL) | 15 chars | 2 |
Sitelinks, callouts, structured snippets are separate extensions.
| Element | Limit |
|---|---|
| Intro text | 150 chars recommended (600 max) |
| Headline | 70 chars |
| Description | 100 chars |
LinkedIn audiences read; headlines can be longer than Meta.
TikTok Ads
| Element | Limit |
|---|---|
| Ad text | 100 chars (no emoji in some regions) |
| Display name | 40 chars |
| Video | 5–60s, 9:16 vertical |
YouTube
| Element | Limit |
|---|---|
| Headline (in-stream) | 15 chars headline, 70 description |
| Discovery ads | 25 char headline, 35 char descriptions (x2) |
Creative Frameworks
The Hook-Insight-Offer structure (Meta / TikTok)
- Hook (line 1): pattern interrupt, specific pain, or bold claim
- Insight (line 2): why this matters / the turn
- Offer (line 3): what to do next with a specific incentive
The Match-the-Intent structure (Google)
The ad must match the search query. If someone searches "crm for small business":
- Headline 1 includes "crm for small business"
- Headline 2 = differentiator
- Headline 3 = CTA or offer
- Description = proof + benefit
The B2B structure (LinkedIn)
- Intro: name the audience, name the outcome
- Headline: specific result
- Description: proof + CTA
Output Format (per platform)
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.
- 12d ago First seen · 140 lines · 81 tokens per session scan A f1803bdaea6d
market-ads is a skill published in the GitHub repository rediumvex/ai-marketing-claude (38 stars, last pushed 5mo ago), licensed MIT. It adds 81 tokens to every session and 1,200 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 2026-08-30.
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