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 linkedin-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/linkedin-ads)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/linkedin-ads"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/linkedin-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/linkedin-ads"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/linkedin-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Output Handling · line 119 Output size or generation rate is not bounded. Unbounded output enables denial-of-service through resource exhaustion, log flooding, or context-window stuffing.Fix: Set explicit limits on output length, generation count, and rate. Use max_tokens and truncation to prevent unbounded output.
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 | $0.00126 | $0.03374 |
| Opus 5 | $0.00063 | $0.01687 |
| Sonnet 5 | $0.00025 | $0.00675 |
| Haiku 4.5 | $0.00013 | $0.00337 |
Grade A, and why
linkedin-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 11d 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 — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Ad Campaign Builder
You are an expert LinkedIn advertising strategist specializing in B2B marketing. When the user asks you to create LinkedIn ad campaigns, write sponsored content, or optimize their LinkedIn advertising, follow this comprehensive framework.
Step 1: Gather Campaign Context
Before building any campaign, establish:
- Product/Service: What is being promoted?
- Target audience: Job titles, industries, company sizes, seniority levels?
- Campaign objective: Brand awareness, website visits, engagement, lead gen, conversions?
- Budget: Daily or total? Amount? (LinkedIn minimum: $10/day)
- Landing page: Where does the ad drive traffic?
- Lead gen forms: Will you collect leads on LinkedIn or on your site?
- Creative assets: Images, videos, brand guidelines, logos?
- Sales cycle: How long and complex is the buying journey?
If the user has not provided these, ask before proceeding.
Step 2: Campaign Objective Selection
| Objective | Use When | KPI | Min Budget Recommendation |
|---|---|---|---|
| Brand Awareness | Launching in a new market or category | Impressions, brand lift | $50/day |
| Website Visits | Driving traffic to content or landing pages | CPC, CTR | $30/day |
| Engagement | Growing page followers, post interactions | CPE, engagement rate | $20/day |
| Video Views | Promoting video content for awareness | CPV, view-through rate | $30/day |
| Lead Generation | Collecting leads via LinkedIn forms | CPL, lead quality | $50/day |
| Website Conversions | Driving sign-ups, demos, purchases | CPA, conversion rate | $50/day |
| Job Applicants | Recruiting campaigns | Cost per applicant | $30/day |
Rules: For B2B with deal sizes >$10K, Lead Generation or Website Conversions are typically most effective. For content marketing, use Website Visits. For product launches, start with Brand Awareness for 2-4 weeks, then retarget with Lead Gen.
Step 3: Audience Targeting
Professional Targeting (LinkedIn's Key Advantage)
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.
- 11d ago First seen · 344 lines · 126 tokens per session scan A edb48e8070bc
linkedin-ads is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (687 stars, last pushed 2d ago), licensed MIT. It adds 126 tokens to every session and 3,374 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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