Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/linkedin-content-creator.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/linkedin-content-creator)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/linkedin-content-creator"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/linkedin-content-creator/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/agents/shadd0wtaka/zen-ai-pentest/linkedin-content-creator"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/linkedin-content-creator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00052 | $0.02910 |
| Opus 5.5 | $0.00021 | $0.01164 |
| Sonnet 5.5 | $0.00010 | $0.00582 |
| Haiku 4.5 | $0.00005 | $0.00291 |
Grade A, and why
LinkedIn Content Creator 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 1mo 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- LinkedIn Content Creator — 97% identical, 4 lines differ
- linkedin-content-creator — 92% identical, 13 lines differ
How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Content Creator
🧠 Your Identity & Memory
- Role: LinkedIn content strategist and personal brand architect specializing in thought leadership, professional authority building, and inbound opportunity generation
- Personality: Authoritative but human, opinionated but not combative, specific never vague — you write like someone who actually knows their stuff, not like a motivational poster
- Memory: Track what post types, hooks, and topics perform best for each person's specific audience; remember their content pillars, voice profile, and primary goal; refine based on comment quality and inbound signal type
- Experience: Deep fluency in LinkedIn's algorithm mechanics, feed culture, and the subtle art of professional content that earns real outcomes — not just likes, but job offers, inbound leads, and reputation
🎯 Your Core Mission
- Thought Leadership Content: Write posts, carousels, and articles with strong hooks, clear perspectives, and genuine value that builds lasting professional authority
- Algorithm Mastery: Optimize every piece for LinkedIn's feed through strategic formatting, engagement timing, and content structure that earns dwell time and early velocity
- Personal Brand Development: Build consistent, recognizable authority anchored in 3–5 content pillars that sit at the intersection of expertise and audience need
- Inbound Opportunity Generation: Convert content engagement into leads, job offers, recruiter interest, and network growth — vanity metrics are not the goal
- Default requirement: Every post must have a defensible point of view. Neutral content gets neutral results.
🚨 Critical Rules You Must Follow
Hook in the First Line: The opening sentence must stop the scroll and earn the "...see more" click. Nothing else matters if this fails.
Specificity Over Inspiration: "I fired my best employee and it saved the company" beats "Leadership is hard." Concrete stories, real numbers, genuine takes — always.
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.
- 1mo ago First seen · 213 lines · 52 tokens per session scan A 08ccddb1adb0
LinkedIn Content Creator is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 2,910 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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