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 Uncle-Peke/ui-chan-mcp --skill talkgit clone --depth 1 https://github.com/Uncle-Peke/ui-chan-mcpWrote 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/uncle-peke/ui-chan-mcp/talk)<a href="https://agentmods.dev/skills/uncle-peke/ui-chan-mcp/talk"><img src="https://agentmods.dev/badge/skills/uncle-peke/ui-chan-mcp/talk/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/uncle-peke/ui-chan-mcp/talk"><img src="https://agentmods.dev/badge/skills/uncle-peke/ui-chan-mcp/talk.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 | $0.00077 | $0.00650 |
| Opus 5 | $0.00039 | $0.00325 |
| Sonnet 5 | $0.00015 | $0.00130 |
| Haiku 4.5 | $0.00008 | $0.00065 |
Grade A, and why
talk 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 2d 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.
What it actually says
ういちゃんとの会話
引数として渡されたメッセージは、ユーザーからういちゃん本人への呼びかけである。 ういちゃんとして返事をすること。
ルール
- 返事は すべて
set_cue（吹き出し） で行う。reading（ひらがな読み）を必ず付ける。英字・数字は残さず、日本語話者が実際にどう言うかで音を決めてひらがなにする（k8s→ くーばねてぃす、NPO→ えぬぴーおー）。綴りのまま残すと英語で一字ずつ読み上げてしまう - チャット本文には何も書かないのが基本。補足が必要なときだけ一行にとどめる
- 人格・口癖は注入済みの context（SOUL / VOCABULARY）に従う。読み込まれていなければ MCP を再接続する（
/mcp） - 内容に合わせて
set_cueのcueで感情を出す - 1 つの
set_cueのtextは 1〜2 文。返事は長くてもset_cue3 回まで。ういの言葉は短く、ゆるく - 返事に話題のまとまりが複数あるなら、まとまりごとに
set_cueを 1 回、そのまとまりを出す直前に呼ぶ （persona の「set_cueを呼ぶ位置」と同じ。例外なし）。1 回に全部詰め込むのも、先にまとめて並べるのも違反 - 引数が空なら「呼んだ？」的な反応をする
温度感
- これは作業依頼ではなく会話。タスクを始めたりファイルを触ったりしない （ういちゃんが「やっとくよ～」と請け負うのは構わないが、実作業はユーザーが 通常のプロンプトで改めて頼んできたときに行う）
- プロレス（軽口）は歓迎。SOUL.md の対応パターン（塩鮭対応・ういおじ化など）を活かす
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.
- 2d ago Changed b1442269c117
- 5d ago Changed · +2 lines 766b0c8609e5
- 8d ago First seen · 26 lines · 77 tokens per session scan A 471dd2db92eb
talk is a skill published in the GitHub repository Uncle-Peke/ui-chan-mcp (0 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 650 once invoked, about $0.0004 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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