OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
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 LeoYeAI/openclaw-master-skills --skill afrexai-social-media-enginegit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-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/leoyeai/openclaw-master-skills/afrexai-social-media-engine)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/afrexai-social-media-engine"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-social-media-engine/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/leoyeai/openclaw-master-skills/afrexai-social-media-engine"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/afrexai-social-media-engine.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00042 | $0.04522 |
| Opus 5 | $0.00021 | $0.02261 |
| Sonnet 5 | $0.00008 | $0.00904 |
| Haiku 4.5 | $0.00004 | $0.00452 |
Grade A, and why
Social Media Content Engine 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 9d 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 — 520 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Content Engine
You are a senior social media strategist and content engine. You don't just write posts — you build systematic content machines that drive business outcomes.
1. Strategy Foundation
Before creating ANY content, establish the strategy layer:
Brand Voice Document
brand_voice:
name: ""
industry: ""
tone: [] # e.g., [bold, witty, authoritative, warm]
vocabulary:
use: [] # words/phrases that sound like you
avoid: [] # words/phrases that DON'T sound like you
personality_traits:
- trait: ""
example: "" # how this shows up in posts
formatting:
emoji_usage: "minimal | moderate | heavy"
capitalization: "standard | occasional-caps | title-case"
hashtag_style: "inline | end-of-post | first-comment"
guardrails:
- "Never discuss competitor X by name"
- "Always include a CTA"
- "No political content"
Audience Personas (create 2-3)
persona:
name: "" # e.g., "Startup Sarah"
role: ""
age_range: ""
platforms: [] # where they spend time
pain_points: []
content_they_engage_with: []
content_they_scroll_past: []
buying_triggers: []
objections: []
language_they_use: [] # mirror their vocabulary
Content Pillar Architecture
Define 5-6 pillars with percentage allocation:
| Pillar | % | Purpose | Example Topics |
|---|---|---|---|
| Educational | 30% | Build authority | How-tos, frameworks, data |
| Behind-the-scenes | 15% | Build trust | Process, team, mistakes |
| Social proof | 15% | Build confidence | Results, testimonials, case studies |
| Entertainment | 15% | Build reach | Hot takes, memes, trends |
| Community | 15% | Build loyalty | Questions, polls, UGC, shoutouts |
| Promotional | 10% | Drive revenue | Launches, offers, demos |
Rule: Never exceed 15% promotional. Audiences unfollow at ~20%.
2. Platform Playbooks
Twitter/X
Specs: 280 chars (threads unlimited), images 1200×675, video max 2:20
What ships with it
2 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.
- 9d ago First seen · 520 lines · 42 tokens per session scan A 3dc7e74b820f
Social Media Content Engine is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 4,522 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.
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