Zen-Ai-Pentest: Agent for Claude Code

.opencode/agents/linkedin-content-creator.md

LinkedIn Content Creator is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 52 tokens per session (2,910 once invoked), scanned A, original, MIT.

A LinkedIn content assistant for professional posts, articles, and carousels. It helps shape thought-leadership content and a consistent professional presence on LinkedIn.

In plain words
What is it for?
Use it to plan content pillars, write and edit LinkedIn posts, create strong openings, adapt content to a professional audience, and refine future work based on engagement and inbound opportunities.
Why use it?
It addresses the difficulty of choosing useful topics, finding a clear voice, and writing posts that encourage meaningful professional responses.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents; positional $N argument.

This is SHAdd0WTAka/Zen-Ai-Pentest's own configuration. It tells Claude Code and OpenCode how to work on Zen-Ai-Pentest itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Zen-Ai-Pentest configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/linkedin-content-creator.md
Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

Wrote 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.

agentmods badge for LinkedIn Content Creator

README.md
[![agentmods](https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/linkedin-content-creator/github.svg)](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/linkedin-content-creator)
Your own site
<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.

agentmods 80×15 button for LinkedIn Content Creator

Your own site · 80×15
<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>
Per session 52 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,910 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.02910
Opus 5 $0.00026 $0.01455
Sonnet 5 $0.00010 $0.00582
Haiku 4.5 $0.00005 $0.00291

Measured 7d ago against content hash 08ccddb1adb0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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 7d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.opencode/agents/linkedin-content-creator.md · 213 lines

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.

Read the full file on GitHub · 213 lines

Changes

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.

  1. 7d ago First seen · 213 lines · 52 tokens per session scan A 08ccddb1adb0

Subscribe to this mod's changes

LinkedIn Content Creator is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 2,910 once invoked, about $0.0003 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 2026-09-03.

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