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.
npx skills add ailabs-393/ai-labs-claude-skills --skill social-media-generatorgit clone --depth 1 https://github.com/ailabs-393/ai-labs-claude-skillsWrote 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/ailabs-393/ai-labs-claude-skills/social-media-generator)<a href="https://agentmods.dev/skills/ailabs-393/ai-labs-claude-skills/social-media-generator"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/social-media-generator/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/ailabs-393/ai-labs-claude-skills/social-media-generator"><img src="https://agentmods.dev/badge/skills/ailabs-393/ai-labs-claude-skills/social-media-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00050 | $0.01125 |
| Opus 5 | $0.00025 | $0.00562 |
| Sonnet 5 | $0.00010 | $0.00225 |
| Haiku 4.5 | $0.00005 | $0.00112 |
Grade A, and why
social-media-generator 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 12d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Generator
Overview
This skill enables creation of platform-optimized social media content for Twitter, Instagram, LinkedIn, and Facebook. It automatically generates posts tailored to each platform's best practices and saves them in an organized directory structure.
When to Use This Skill
Use this skill when the user requests:
- Creation of social media posts for multiple platforms
- Content generation for specific events, announcements, or campaigns
- Platform-specific content optimization
- Organized storage of social media content
Core Workflow
Step 1: Gather Information
Collect the following details from the user (ask if not provided):
- Event/content name
- Date and time (format: DD-MM-YYYY-HHMM)
- Main message or announcement
- Target audience
- Key details to include
- Call-to-action
- Any specific hashtags or mentions
- Brand voice/tone preferences
Step 2: Generate Platform-Specific Content
Create content for each platform using the templates in assets/:
Twitter (assets/twitter_template.md)
- Keep under 280 characters
- Concise and punchy
- 1-3 relevant hashtags
- Clear call-to-action
- Consider emojis for engagement
Instagram (assets/instagram_template.md)
- Engaging caption with hook in first line
- More detailed description
- 5-15 relevant hashtags
- Visual-focused messaging
- Line breaks for readability
- Encourage engagement
LinkedIn (assets/linkedin_template.md)
- Professional and informative tone
- Value-driven content
- Industry insights or takeaways
- 3-5 professional hashtags
- Bullet points for key information
- Discussion-prompting questions
Facebook (assets/facebook_template.md)
- Conversational and engaging
- Keep concise (under 250 chars for best engagement)
- 2-3 relevant hashtags
- Visual-focused
- Encourage comments and shares
- Include event details if applicable
Step 3: Create Organized File Structure
Create the following directory structure in the project:
social-media/
├── twitter/
│ └── event-name-DD-MM-YYYY-HHMM.md
├── instagram/
│ └── event-name-DD-MM-YYYY-HHMM.md
├── linkedin/
│ └── event-name-DD-MM-YYYY-HHMM.md
└── facebook/
└── event-name-DD-MM-YYYY-HHMM.md
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 153 lines · 50 tokens per session scan A 8343444cdfd4
social-media-generator is a skill published in the GitHub repository ailabs-393/ai-labs-claude-skills (445 stars, last pushed 10mo ago), licensed MIT. It adds 50 tokens to every session and 1,125 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 2026-08-30.
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