Borrowing it
Nothing to install: this file belongs to chrismole310/atlas-social-mcp. 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/chrismole310/atlas-social-mcp/master/.claude/skills/atlas-social/SKILL.mdgit clone --depth 1 https://github.com/chrismole310/atlas-social-mcpWrote 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/skills/chrismole310/atlas-social-mcp/atlas-social)<a href="https://agentmods.dev/skills/chrismole310/atlas-social-mcp/atlas-social"><img src="https://agentmods.dev/badge/skills/chrismole310/atlas-social-mcp/atlas-social/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/skills/chrismole310/atlas-social-mcp/atlas-social"><img src="https://agentmods.dev/badge/skills/chrismole310/atlas-social-mcp/atlas-social.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 | $0.00111 | $0.00568 |
| Opus 5.5 | $0.00044 | $0.00227 |
| Sonnet 5.5 | $0.00022 | $0.00114 |
| Haiku 4.5 | $0.00011 | $0.00057 |
Grade A, and why
atlas-social 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 2mo 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.
What it actually says
Atlas Social — AI Social Media Engine
Post to 14 social platforms with one natural language command. AI automatically adapts your content for each platform's style, character limits, and best practices.
Quick Commands
- "Post [content] to Instagram and TikTok"
- "Tweet this: [content]"
- "Schedule a LinkedIn post for tomorrow at 9am: [content]"
- "Generate a 30-day social media calendar for my coffee shop"
- "Show my recent posts and their performance"
- "What are my analytics for the last 7 days?"
- "List my connected social accounts"
Tools
| Tool | Description |
|---|---|
post_now |
Post immediately to any combination of platforms. AI adapts content per platform. |
schedule_post |
Schedule a post for a future date/time. |
generate_calendar |
Create a full 30-day content calendar with daily topics, hooks, and timing. |
get_analytics |
View performance metrics: impressions, reach, likes, comments, shares. |
get_recent_posts |
See recent posts and their status (published/scheduled/failed). |
list_accounts |
Show all connected social media accounts. |
Supported Platforms (14)
Twitter/X, Instagram, TikTok, Facebook, LinkedIn, YouTube, Threads, Pinterest, Reddit, Bluesky, Telegram, Google Business Profile, Snapchat, WhatsApp
How Content Adaptation Works
When you say "Post this to Twitter and LinkedIn", the AI:
- Takes your original message
- Rewrites it for Twitter (punchy, under 240 chars, 1-2 hashtags)
- Rewrites it for LinkedIn (professional, 200 words, thought leadership)
- Posts both versions simultaneously
Each platform gets content that feels native — not a copy-paste resize.
Setup
Requires a Zernio API key (free tier at zernio.com) in your environment:
ZERNIO_API_KEY=sk_your_key_here
Optional: ANTHROPIC_API_KEY for AI content adaptation and calendar generation.
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.
- 2mo ago First seen · 53 lines · 111 tokens per session scan A a64c7e200df5
atlas-social is a skill published in the GitHub repository chrismole310/atlas-social-mcp (0 stars, last pushed 7mo ago), licensed MIT. It adds 111 tokens to every session and 568 once invoked, about $0.0004 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 2026-08-31.
atlas-social compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| atlas-socialchrismole310/atlas-social-mcp | Skill | 0 | 7mo ago | MIT | A | 111 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |