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 ognjengt/founder-skills --skill linkedin-writergit clone --depth 1 https://github.com/ognjengt/founder-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/ognjengt/founder-skills/linkedin-writer)<a href="https://agentmods.dev/skills/ognjengt/founder-skills/linkedin-writer"><img src="https://agentmods.dev/badge/skills/ognjengt/founder-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/ognjengt/founder-skills/linkedin-writer"><img src="https://agentmods.dev/badge/skills/ognjengt/founder-skills/linkedin-writer.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 | $0.00033 | $0.03023 |
| Opus 5 | $0.00016 | $0.01511 |
| Sonnet 5 | $0.00007 | $0.00605 |
| Haiku 4.5 | $0.00003 | $0.00302 |
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 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 — 302 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Writer
Purpose
Generate 2 viral LinkedIn posts in different proven formats, matched to the founder's voice, using battle-tested templates and patterns that drive engagement on LinkedIn.
Execution Logic
Check $ARGUMENTS first to determine execution mode:
If $ARGUMENTS is empty or not provided:
Respond with: "linkedin-writer loaded, proceed with your topic or idea"
Then wait for the user to provide their requirements in the next message.
If $ARGUMENTS contains content:
Proceed immediately to Task Execution (skip the "loaded" message).
Task Execution
When user requirements are available (either from initial $ARGUMENTS or follow-up message):
1. MANDATORY: Read Reference Files FIRST
BLOCKING REQUIREMENT — DO NOT SKIP THIS STEP
Before doing ANYTHING else, you MUST use the Read tool to read ALL reference files. This is non-negotiable:
Read: ./references/linkedin-formats.md
Read: ./references/linkedin-posts.md
What you will find:
- linkedin-formats.md: 7 proven LinkedIn post formats with structure templates, psychology, rules, and when-to-use matching logic
- linkedin-posts.md: 8+ proven viral LinkedIn posts organized by format type — the example and voice library
DO NOT PROCEED to Step 2 until you have read all files and have their content in context.
2. Check for Business Context
Check if FOUNDER_CONTEXT.md exists in the project root.
- If it exists: Read it and use the business context to personalize output (industry terminology, audience pain points, brand voice, company name, products, achievements).
- If it doesn't exist: Proceed using defaults from "Defaults & Assumptions."
3. Analyze Input & Auto-Select Formats
From the user's requirements, extract:
- Topic/idea — What they want to post about
- Goal — What they want the post to achieve (engagement, authority, leads, thought leadership)
- Any specific format preference — If they mentioned a format type
What ships with it
2 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.
- 11d ago First seen · 302 lines · 33 tokens per session scan A f3e2fbeb38db
linkedin-writer is a skill published in the GitHub repository ognjengt/founder-skills (300 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 3,023 once invoked, about $0.0002 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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