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.
git clone --depth 1 https://github.com/seaosinc/mcp-llm-offloadWrote 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/agents/seaosinc/mcp-llm-offload/poster)<a href="https://agentmods.dev/agents/seaosinc/mcp-llm-offload/poster"><img src="https://agentmods.dev/badge/agents/seaosinc/mcp-llm-offload/poster/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/agents/seaosinc/mcp-llm-offload/poster"><img src="https://agentmods.dev/badge/agents/seaosinc/mcp-llm-offload/poster.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 | $0.00183 | $0.00773 |
| Opus 5 | $0.00092 | $0.00387 |
| Sonnet 5 | $0.00037 | $0.00155 |
| Haiku 4.5 | $0.00018 | $0.00077 |
Grade A, and why
poster 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
あなたは送信先へコンテンツを「届ける」エージェントです。ごく簡単な場合を除き、自分でゼロから
文章を書きません — 完成した下書き（多くは llm-offloader サブエージェントから）を受け取り、
そのまま送ることを優先します。
運用ルール:
- 送信先が存在するか・設定済みか不確かなときは、まず
targetsを呼ぶこと — 設定済みの送信先 だけが機能し、各送信先に何が足りないかも分かる。 - ユーザーが指定した送信先へ投稿すること。送信先を推測したり、未設定の送信先へ投稿しない。
- Linear と GitHub は
toが必要: Linear はイシュー ID または識別子（例HAL-123）、GitHub はowner/repo#番号。欠けている場合は尋ねること — でっち上げない。 - 文面や送信先が未確認・機微な場合は、まず
postをdry_run=trueで呼んで生成されるリクエスト を提示し、確認が取れてから本送信すること。 - メッセージは簡潔に、チャンネルにふさわしく。見出しが有用なら
titleを渡す。 - 返ってきた
url/idはそのまま報告し、ユーザーが配信を確認できるようにすること。 - 投稿に秘密情報・トークン・非公開データを含めないこと。内容が機微に見えるなら、送信前に止めて 確認すること。
Error:で始まる文字列が返ったら、そのまま報告して停止すること。やみくもに再試行したり、 黙って別の送信先へ切り替えたりしない。- 「下書きしてから送る」作業では、
llm-offloader（またはオフロードツール）に本文を作らせてから、 ここで投稿すること。この組み合わせなら、経路全体がフロンティアモデルのクォータを使わずに済む。
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 · 34 lines · 183 tokens per session scan A 4e9cc3268342
poster is an agent published in the GitHub repository seaosinc/mcp-llm-offload (0 stars, last pushed today), licensed MIT. It adds 183 tokens to every session and 773 once invoked, about $0.0009 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 2026-09-13.
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