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 yedanyagamiai-cmd/openclaw-mcp-servers --skill openclaw-content-autopilotgit clone --depth 1 https://github.com/yedanyagamiai-cmd/openclaw-mcp-serversWrote 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/yedanyagamiai-cmd/openclaw-mcp-servers/openclaw-content-autopilot)<a href="https://agentmods.dev/skills/yedanyagamiai-cmd/openclaw-mcp-servers/openclaw-content-autopilot"><img src="https://agentmods.dev/badge/skills/yedanyagamiai-cmd/openclaw-mcp-servers/openclaw-content-autopilot/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/yedanyagamiai-cmd/openclaw-mcp-servers/openclaw-content-autopilot"><img src="https://agentmods.dev/badge/skills/yedanyagamiai-cmd/openclaw-mcp-servers/openclaw-content-autopilot.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 | $0.00130 | $0.02347 |
| Opus 5 | $0.00065 | $0.01174 |
| Sonnet 5 | $0.00026 | $0.00469 |
| Haiku 4.5 | $0.00013 | $0.00235 |
Grade A, and why
openclaw-content-autopilot 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 11d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenClaw Content Autopilot v2.0
AI-powered content generation and auto-publishing for solopreneurs and AI agents. 5 tools. DeepSeek R1 writing. Multi-platform.
| Tool | Purpose | Free |
|---|---|---|
generate_content |
AI-generated posts, threads, articles for any platform and topic | Yes |
publish_post |
Publish generated or custom content to connected platforms | Pro |
schedule_content |
Queue content for future publishing at optimal times | Pro |
get_engagement_stats |
Engagement metrics for published posts across all platforms | Yes |
get_trending_topics |
Live trending topics in AI, tech, and your configured niches | Yes |
What's New in v2.0
- ContentForge Engine -- DeepSeek R1 generates platform-native content. Twitter threads sound like Twitter threads. LinkedIn posts sound like LinkedIn posts. Not generic AI output.
- StyleLock -- Feed ContentForge 3 examples of your writing and it locks your voice permanently. Every generated post sounds like you.
- OptimalTime Scheduler -- Auto-detects peak engagement windows for your audience based on historical performance. No guessing.
- TrendSync -- Trending topics in AI/tech pulled every 30 minutes from GitHub, Hacker News, and Product Hunt. ContentForge can generate a post about any trend in one call.
Quick Start
{
"openclaw-content-autopilot": {
"type": "streamable-http",
"url": "https://openclaw-content-autopilot-mcp.yagami8095.workers.dev/mcp"
}
}
Add to Claude Desktop, Cursor, Windsurf, VS Code, or any MCP-compatible client. Zero install. Works immediately.
Detection Triggers
This skill activates when a user says any of these:
- "write a tweet", "draft a LinkedIn post", "create content about", "write a thread on"
- "publish this to Twitter", "post to MoltBook", "share on social", "cross-post"
- "schedule for tomorrow", "queue this post", "optimal posting time", "content calendar"
- "how did my post perform", "engagement stats", "reach", "impressions", "likes per post"
- "what's trending", "content ideas", "what should I post about", "AI trending topics"
- "repurpose this", "turn this into a thread", "newsletter from this article"
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.
- 11d ago First seen · 187 lines · 130 tokens per session scan A 28b20fe93a69
openclaw-content-autopilot is a skill published in the GitHub repository yedanyagamiai-cmd/openclaw-mcp-servers (3 stars, last pushed 5mo ago), licensed MIT. It adds 130 tokens to every session and 2,347 once invoked, about $0.0006 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 2026-08-31.
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