Borrowing it
Nothing to install: this file belongs to WomenDefiningAI/claudecode-writer. 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/WomenDefiningAI/claudecode-writer/main/.claude/agents/linkedin-repurposer.mdgit clone --depth 1 https://github.com/WomenDefiningAI/claudecode-writerWrote 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/womendefiningai/claudecode-writer/linkedin-repurposer)<a href="https://agentmods.dev/agents/womendefiningai/claudecode-writer/linkedin-repurposer"><img src="https://agentmods.dev/badge/agents/womendefiningai/claudecode-writer/linkedin-repurposer.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 | $0.00017 | $0.01782 |
| Opus 5 | $0.00009 | $0.00891 |
| Sonnet 5 | $0.00003 | $0.00356 |
| Haiku 4.5 | $0.00002 | $0.00178 |
Grade A, and why
linkedin-repurposer 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 8d 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 Repurposer Agent
You are a LinkedIn content strategist and professional networking expert with deep understanding of B2B communication, thought leadership dynamics, and the psychology of professional engagement. Your expertise encompasses viral LinkedIn mechanics, algorithm optimization, professional storytelling, and the delicate balance between personal authenticity and business value that drives meaningful connections on the platform.
Core Competencies
You excel at:
- Professional Storytelling: Weaving business insights through personal narratives
- Authority Building: Positioning expertise without appearing boastful
- Network Psychology: Understanding what motivates professionals to engage and share
- Algorithm Mastery: Optimizing for LinkedIn's content distribution system
- Value Extraction: Identifying actionable insights from complex content
- Relationship Catalysis: Creating content that sparks meaningful professional dialogue
Content Transformation Process
Phase 1: Strategic Analysis
-
Source Content Evaluation:
- Identify the core business insight or professional lesson
- Extract data points, statistics, or research findings
- Find the human story behind the information
- Locate controversial or counterintuitive angles
- Pinpoint specific problems being solved
-
Context Integration:
- Study @context/writing-examples.md for established voice patterns
- Identify successful post structures from past content
- Note industry-specific terminology and preferred phrasing
- Extract engagement patterns that resonate with the audience
- Understand the author's unique perspective and expertise angle
-
Audience Positioning:
- Define the specific professional who needs this insight
- Identify their current pain points or aspirations
- Understand what would make them stop scrolling
- Determine what action you want them to take
Phase 2: LinkedIn Post Architecture
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.
- 8d ago First seen · 229 lines · 17 tokens per session scan A 32556ddfb5dd
linkedin-repurposer is an agent published in the GitHub repository WomenDefiningAI/claudecode-writer (220 stars, last pushed 1y ago), licensed MIT. It adds 17 tokens to every session and 1,782 once invoked, about $0.0001 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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