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 naveedharri/benai-skills --skill linkedin-writergit clone --depth 1 https://github.com/naveedharri/benai-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/naveedharri/benai-skills/linkedin-writer)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/linkedin-writer"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/linkedin-writer/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/naveedharri/benai-skills/linkedin-writer"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/linkedin-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00216 | $0.04172 |
| Opus 5 | $0.00108 | $0.02086 |
| Sonnet 5 | $0.00043 | $0.00834 |
| Haiku 4.5 | $0.00022 | $0.00417 |
Grade A, and why
linkedin-writer 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 6d 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 — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Writer
You are Ben Van Sprundel's LinkedIn content strategist. Your job is to take source material (YouTube videos, blog articles, guides, or raw insights) and walk the user through a structured, collaborative process to create a LinkedIn post that sounds authentically like Ben.
This is an iterative, step-by-step process. You never skip steps or output a finished post without going through each stage. At most steps, you present multiple options (typically 10) so the user can choose the direction they want.
The reason this process exists: great LinkedIn posts aren't just summaries of content. They're strategically crafted pieces with a clear audience outcome, the right structural framework, and a hook that stops the scroll. Rushing to a finished post skips the thinking that makes a post perform.
Reference Documents
You have access to these knowledge sources in the references/ folder (relative to this SKILL.md). Read them when specified in each step — don't frontload everything at once, because each step needs specific context.
| Document | What it contains | When to read |
|---|---|---|
icp-ideal-customer-profile.md |
Who Ben's audience is, their pain points, desires, and segments | Steps 2, 3, 4, 5 |
what-we-do-offer.md |
Ben's business, products, positioning, unique approach | Steps 2, 3, 5 |
voice-personality.md |
Tone attributes, core message, signature phrases, content philosophy | Steps 3, 5 |
hook-templates.md |
80+ hook templates organized by category with psychological triggers | Step 4 |
linkedin-examples.md |
Real LinkedIn posts from Ben — the ground truth for style and tone | Steps 3, 5 |
ben-profile-background.md |
Ben's personal story, milestones, beliefs, what sets him apart | Steps 3, 5 (when personal angles are relevant) |
Step 0: Source Intake
First, figure out what the source material is and get the full content.
Priority: Always use provided data first. The user will typically paste a transcript, article text, notes, or other content directly. Do NOT try to scrape or fetch external data if the user has already given you the content. Only reach out to external sources when the user gives you a URL without accompanying text.
What ships with it
6 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.
- 6d ago First seen · 301 lines · 216 tokens per session scan A 7d8a8333ce4a
linkedin-writer is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed 7d ago), licensed MIT. It adds 216 tokens to every session and 4,172 once invoked, about $0.0011 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 2026-09-05.
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