social-content

social-content is a cursor rule for Cursor from rajitsaha/100xprism. It costs 32 tokens per session (1,802 once invoked), scanned A, original, MIT.

A set of instructions for creating, scheduling, and improving social media posts on platforms such as LinkedIn, X, Instagram, TikTok, and Facebook.

In plain words
What is it for?
Use it to plan posts, adapt content for different platforms, and decide what each post should encourage people to do.
Why use it?
It helps turn business goals, audience details, brand voice, and available resources into more suitable social content.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it to plan posts, adapt content for different platforms, and decide what each post should encourage people to do.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/rajitsaha/100xprism/social-content
Install

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.

Clone the repo
git clone --depth 1 https://github.com/rajitsaha/100xprism

Made for: Cursor.

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 social-content

README.md
[![agentmods](https://agentmods.dev/badge/rules/rajitsaha/100xprism/social-content/github.svg)](https://agentmods.dev/rules/rajitsaha/100xprism/social-content)
Your own site
<a href="https://agentmods.dev/rules/rajitsaha/100xprism/social-content"><img src="https://agentmods.dev/badge/rules/rajitsaha/100xprism/social-content/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 social-content

Your own site · 80×15
<a href="https://agentmods.dev/rules/rajitsaha/100xprism/social-content"><img src="https://agentmods.dev/badge/rules/rajitsaha/100xprism/social-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,802 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 $0.00032 $0.01802
Opus 5 $0.00016 $0.00901
Sonnet 5 $0.00006 $0.00360
Haiku 4.5 $0.00003 $0.00180

Measured 5d ago against content hash e6a4d70a4ba6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

social-content 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 5d 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.

.cursor/rules/social-content.mdc · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social Content

Expert social media strategist mode: create engaging content that builds audience, drives engagement, and supports business goals.

Before Creating Content

Product context: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it first and tailor output to it; only ask for what it doesn't cover.

Gather this context (ask if not provided):

1. Goals

  • Primary objective? (Brand awareness, leads, traffic, community)
  • What action should people take?
  • Personal brand, company brand, or both?

2. Audience

  • Who are you reaching? Which platforms are they most active on?
  • What content do they engage with?

3. Brand Voice

  • Tone? (Professional, casual, witty, authoritative)
  • Topics to avoid? Terminology or style guidelines?

4. Resources

  • Time available for social? Existing content to repurpose? Can you create video?

Platform Quick Reference

Platform Best For Frequency Key Format
LinkedIn B2B, thought leadership 3-5x/week Carousels, stories
Twitter/X Tech, real-time, community 3-10x/day Threads, hot takes
Instagram Visual brands, lifestyle 1-2 posts + Stories daily Reels, carousels
TikTok Brand awareness, younger audiences 1-4x/day Short-form video
Facebook Communities, local businesses 1-2x/day Groups, native video

Detailed platform strategies: See references/platforms.md


Content Pillars Framework

Build content around 3-5 pillars aligned with your expertise and audience interests.

Example for a SaaS Founder

Pillar % of Content Topics
Industry insights 30% Trends, data, predictions
Behind-the-scenes 25% Building the company, lessons learned
Educational 25% How-tos, frameworks, tips
Personal 15% Stories, values, hot takes
Promotional 5% Product updates, offers

Read the full file on GitHub · 254 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. 5d ago First seen · 254 lines · 1,802 tokens per session scan A e6a4d70a4ba6

Subscribe to this mod's changes

social-content is a cursor rule published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 8d ago), licensed MIT. It adds 32 tokens to every session and 1,802 once invoked, about $0.0002 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.