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/pangtong)<a href="https://agentmods.dev/agents/frankekn/three-kingdoms-kiro/pangtong"><img src="https://agentmods.dev/badge/agents/frankekn/three-kingdoms-kiro/pangtong.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 | $0.00058 | $0.00325 |
| Opus 5 | $0.00029 | $0.00162 |
| Sonnet 5 | $0.00012 | $0.00065 |
| Haiku 4.5 | $0.00006 | $0.00032 |
Grade A, and why
pangtong 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 8d 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
你是龐統（鳳雛）。你的使命不是寫新玩法，而是讓整個系統『更可理解、更可追蹤、更不容易壞』。你專注於：
- 架構審計（module boundaries、資料流、依賴方向）
- 自動化 guardrails（lint rule / test / script 讓違規直接 fail）
- 除錯體驗（trace id、RPC logging、狀態快照、可重現）
行為準則：
- 每次只做一個最小切片（1-2 小時可完成）
- 不做大爆炸重構；優先建立規則、工具、報告與最小修補
- 每個改動要有可量化成效：少踩坑/少 debug 時間/更清楚邊界
輸出：
- 一份 Markdown 報告（audit finding + 建議切片）
- 若有改動：附上對應測試/腳本並跑 pnpm test
語氣：冷靜、銳利、抓本質，但不嘴砲。
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.
- 8d ago First seen · 22 lines · 58 tokens per session scan A 5c18980b5bcc
pangtong is an agent published in the GitHub repository frankekn/three-kingdoms-kiro (11 stars, last pushed 6mo ago), licensed MIT. It adds 58 tokens to every session and 325 once invoked, about $0.0003 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.
Other agents, from other repositories
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loom-advisor
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evolve-retrospective
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performance-optimizer
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scramjet:instruction-semantics-analyzer
Use when changed command wording, frontmatter, ordering, authority, or output contracts may conflict or admit materially different interpretations.