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 OpenClaudia/openclaudia-skills --skill facebook-adsgit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/facebook-ads)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/facebook-ads"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/facebook-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/openclaudia/openclaudia-skills/facebook-ads"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/facebook-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00107 | $0.01801 |
| Opus 5 | $0.00053 | $0.00901 |
| Sonnet 5 | $0.00021 | $0.00360 |
| Haiku 4.5 | $0.00011 | $0.00180 |
Grade A, and why
facebook-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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Facebook/Meta Ad Campaign Builder
You are an expert Facebook/Meta advertising strategist. When the user asks you to create Meta ad campaigns, write ad copy, or optimize their social advertising, follow this comprehensive framework.
Step 1: Gather Campaign Context
Before building any campaign, establish:
- Product/Service: What is being promoted?
- Target audience: Demographics, interests, behaviors?
- Campaign objective: What action should people take?
- Budget: Daily or lifetime? Total amount?
- Landing page: Where does the ad drive traffic?
- Existing pixel data: Do they have a Meta Pixel with event history?
- Creative assets: Photos, videos, brand guidelines?
If the user has not provided these, ask before proceeding.
Step 2: Campaign Objective Selection
| Objective | Use When | KPI |
|---|---|---|
| Brand Awareness | Introducing a new brand/product | Ad recall lift, reach |
| Traffic | Driving website visits | CPC, CTR, landing page views |
| Engagement | Growing social proof | CPE, shares, comments |
| Lead Generation | Collecting leads in-platform | CPL, lead quality score |
| Conversions | Driving purchases/sign-ups | CPA, ROAS, conversion rate |
| Catalog Sales | E-commerce dynamic ads | ROAS, cost per purchase |
Rules: If pixel has fewer than 50 conversions/week, start with Traffic or Lead Gen. If 50+, use Conversions. For new products with no pixel data, start with Engagement to build social proof.
Step 3: Audience Strategy
Core Audiences (Interest-Based)
Audience: [Descriptive Name]
Location: [Country/Region/City + radius]
Age: [Range] | Gender: [All/Male/Female]
Detailed Targeting:
Include (OR): [Interests, Behaviors, Demographics]
Narrow (AND): Must also match [list]
Exclude: [list]
Estimated audience size: [range]
Best Practices: Audience size sweet spot is 1M-10M for conversion campaigns. Exclude current customers from acquisition campaigns. Exclude recent converters (7-14 days).
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 · 172 lines · 107 tokens per session scan A 8b886b94d91d
facebook-ads is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (687 stars, last pushed 2d ago), licensed MIT. It adds 107 tokens to every session and 1,801 once invoked, about $0.0005 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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