Borrowing it
Nothing to install: this file belongs to AgriciDaniel/linkedin-content-creator. 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/AgriciDaniel/linkedin-content-creator/main/CLAUDE.mdgit clone --depth 1 https://github.com/AgriciDaniel/linkedin-content-creatorWrote 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/instructions/agricidaniel/linkedin-content-creator/claude-md)<a href="https://agentmods.dev/instructions/agricidaniel/linkedin-content-creator/claude-md"><img src="https://agentmods.dev/badge/instructions/agricidaniel/linkedin-content-creator/claude-md.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 | $0.00876 | $0.00876 |
| Opus 5 | $0.00438 | $0.00438 |
| Sonnet 5 | $0.00175 | $0.00175 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
linkedin-content-creator CLAUDE.md 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md - AI Assistant Reference
This file provides context for AI assistants working on this project.
Project Overview
LinkedIn Content Creator is an AI-powered app for generating and scheduling LinkedIn posts. It uses Google's Gemini API for content generation and supports multiple post types (text, image, carousel).
Tech Stack
- Frontend: React 18, TypeScript, Tailwind CSS
- Build: Vite
- Testing: Playwright
- Backend: Express.js (OAuth proxy)
Key Directories
components/ # React UI components
services/ # Business logic and API services
e2e/ # Playwright E2E tests
server/ # OAuth proxy server for LinkedIn
types/ # TypeScript type definitions
Core Components
| Component | Purpose |
|---|---|
App.tsx |
Main application entry point |
AIPlannerChat.tsx |
AI-powered post planner wizard |
ContentCalendar.tsx |
Post scheduling calendar |
ResultDisplay.tsx |
Generated content display |
Settings.tsx |
API configuration and preferences |
BatchGenerator.tsx |
Multiple post generation |
CarouselPreview.tsx |
Carousel/document preview |
Core Services
| Service | Purpose |
|---|---|
geminiService.ts |
Gemini AI API integration |
linkedinService.ts |
LinkedIn posting API |
linkedinAuth.ts |
LinkedIn OAuth token management |
schedulerService.ts |
Post scheduling logic |
calendarStorage.ts |
Calendar data persistence |
profileService.ts |
User profile/brand settings |
aiPlannerService.ts |
AI content planning logic |
Data Storage
All data is stored in browser localStorage:
gemini_api_key- Gemini API keylinkedin_token- LinkedIn OAuth token (JSON)linkedin_user_profile- User profile settingsscheduled_posts- Scheduled posts arraytheme- UI theme preference
Common Commands
# Development
npm run dev # Start dev server (port 5000)
npm run dev:full # Start with OAuth proxy
# Testing
npm run test:e2e # Run all Playwright tests
npx playwright test --headed # Run with browser visible
# Build
npm run build # Production build
npm run preview # Preview production build
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 · 119 lines · 876 tokens per session scan A 545181d922a4
linkedin-content-creator CLAUDE.md is an instructions file published in the GitHub repository AgriciDaniel/linkedin-content-creator (90 stars, last pushed 4mo ago), licensed MIT. It adds 876 tokens to every session, about $0.0044 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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