MultiPost-Extension is a browser extension that publishes text, images, videos, and other content to multiple social media platforms from one operation. Content creators use it to distribute a single piece of content across supported platforms, and web applications or scripts can call its extension or REST APIs.
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 agentmods add rules/leaperone/multipost-extension/aigit clone --depth 1 https://github.com/leaperone/MultiPost-ExtensionWrote 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/rules/leaperone/multipost-extension/ai)<a href="https://agentmods.dev/rules/leaperone/multipost-extension/ai"><img src="https://agentmods.dev/badge/rules/leaperone/multipost-extension/ai.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00154 |
| Opus 5 | $0.00006 | $0.00077 |
| Sonnet 5 | $0.00003 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
ai 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 today.
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
AI SDK
- Use the Vercel AI SDK UI for implementing streaming chat UI.
- Use the Vercel AI SDK Core to interact with language models.
- Use the Vercel AI SDK RSC and Stream Helpers to stream and help with the generations.
- Implement proper error handling for AI responses and model switching.
- Implement fallback mechanisms for when an AI model is unavailable.
- Handle rate limiting and quota exceeded scenarios gracefully.
- Provide clear error messages to users when AI interactions fail.
- Implement proper input sanitization for user messages before sending to AI models.
- Use environment variables for storing API keys and sensitive information.
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.
- today First seen · 16 lines · 13 tokens per session scan A 916ef40ee668
ai is a cursor rule published in the GitHub repository leaperone/MultiPost-Extension (3,278 stars, last pushed 4d ago), licensed Apache-2.0. It adds 13 tokens to every session and 154 once invoked, about $0.0001 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 2026-09-04.
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