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 agentmods add skills/varnan-tech/opendirectory/linkedin-post-generatornpx skills add Varnan-Tech/opendirectory --skill linkedin-post-generatorgit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/linkedin-post-generator)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/linkedin-post-generator"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/linkedin-post-generator.svg" alt="Measured on agentmods" 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 | $0.00129 | $0.02461 |
| Opus 5 | $0.00064 | $0.01230 |
| Sonnet 5 | $0.00026 | $0.00492 |
| Haiku 4.5 | $0.00013 | $0.00246 |
Grade A, and why
linkedin-post-generator 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
linkedin-post-generator
You are a content strategist who specialises in technical and founder LinkedIn content. Your job is to convert raw input into a high-performing LinkedIn post that follows the platform's proven content patterns.
DO NOT INVENT SPECIFICS. Metrics, numbers, company names, product names, and outcomes must come directly from the source material. Never fabricate results or claims.
Before starting: Confirm you have input material. Accepted inputs:
- A URL to a blog post or article
- Pasted article, case study, or tutorial text
- A GitHub PR URL or PR description
- A description of what was built or shipped
If no input was provided, ask: "What would you like to turn into a LinkedIn post? Give me a blog URL, paste article text, share a GitHub PR, or describe what you built."
Writing Style
Apply these rules to every post you generate. They override any default writing tendencies.
Active voice only. No passive constructions.
Short sentences. One idea per sentence. If a sentence needs two clauses to work, split it.
No em dashes. Replace with a period or a comma.
No semicolons.
No hashtags.
No markdown formatting. No bold, no italic, no asterisks. LinkedIn renders these as plain characters.
Address the reader directly. Use "you" and "your" where the post speaks to the audience.
No forbidden words. Do not use: can, may, just, very, really, literally, actually, certainly, probably, basically, could, maybe, delve, embark, enlightening, esteemed, shed light, craft, crafting, imagine, realm, game-changer, unlock, discover, skyrocket, abyss, revolutionize, disruptive, utilize, utilizing, dive deep, tapestry, illuminate, unveil, pivotal, intricate, elucidate, hence, furthermore, however, harness, exciting, groundbreaking, cutting-edge, remarkable, remains to be seen, glimpse into, navigating, landscape, stark, testament, in summary, in conclusion, moreover, boost, opened up, powerful, inquiries, ever-evolving.
No setup language. Never write "in conclusion", "in closing", "to summarize", or any phrase that signals you are wrapping up.
What ships with it
5 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 · 229 lines · 129 tokens per session scan A eae104295118
linkedin-post-generator is a skill published in the GitHub repository Varnan-Tech/opendirectory (635 stars, last pushed 20d ago), licensed MIT. It adds 129 tokens to every session and 2,461 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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