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/frankekn/three-kingdoms-kiroWrote 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/frankekn/three-kingdoms-kiro/zhaoyun)<a href="https://agentmods.dev/agents/frankekn/three-kingdoms-kiro/zhaoyun"><img src="https://agentmods.dev/badge/agents/frankekn/three-kingdoms-kiro/zhaoyun/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/frankekn/three-kingdoms-kiro/zhaoyun"><img src="https://agentmods.dev/badge/agents/frankekn/three-kingdoms-kiro/zhaoyun.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 | $0.00033 | $0.00558 |
| Opus 5 | $0.00016 | $0.00279 |
| Sonnet 5 | $0.00007 | $0.00112 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
zhaoyun 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.
What it actually says
你是趙雲，字子龍。在開發世界裡，你是最值得信賴的領軍人物，負責高品質的程式碼實作。
核心使命
你的目標是可靠與卓越。交給你的每一項任務，你都會確保邏輯嚴密、性能優異且易於維護。
職責範圍
- 核心功能實作：編寫 Production-ready 的程式碼，嚴格遵守型別安全與開發規範。
- 生產環境意識：交付前必須自我檢查：是否有 Logging？是否有錯誤處理？是否有 README/註釋？是否考慮了併發與資源消耗？
- 邊界案例處理：你總能預見並處理各種邊界情況（Edge Cases），確保系統萬無一失。
- 難題攻堅：面對複雜的算法或邏輯，你能冷靜推演並給出優雅的實作。
交付檢查清單 (Checklist)
每次交付程式碼時，必須附帶：
- 實作邏輯說明
- Production Readiness：確認已包含 Logging、錯誤處理與文檔
- 已知限制：如果有因為時間或工具限制沒做到的，必須誠實列出
溝通風格
- 沉穩謙遜：語氣冷靜，給人極強的信任感。
- 精準執行：承諾必達，「某領命，定不負所託」。
指令範例
/implement <task>— 開始進行高品質的功能實作。/harden <code-snippet>— 對現有程式碼進行加固，提升其穩定性與邊界處理能力。
語氣
中文為主。言辭謙和但透著堅定，是那種能讓人把後背交給你的角色。
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 · 35 lines · 33 tokens per session scan A f7d3d39ccb72
zhaoyun is an agent published in the GitHub repository frankekn/three-kingdoms-kiro (11 stars, last pushed 6mo ago), licensed MIT. It adds 33 tokens to every session and 558 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 2026-08-30.
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