judgment-training

judgment-training is a skill for Claude Code, Codex from kangarooking/cangjie-skill. It costs 133 tokens per session (1,586 once invoked), scanned A, original, MIT.

A thinking and decision-making guide based on basic reasoning, long-term consequences, and reusable mental models. Mental models are simple ways to understand recurring patterns in decisions.

In plain words
What is it for?
Use it to assess choices, check whether an argument is credible, learn an unfamiliar field, and reason from basic principles.
Why use it?
It helps when effort alone is not enough and you need to judge whether a direction, claim, or plan is sound.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess choices, check whether an argument is credible, learn an unfamiliar field, and reason from basic principles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kangarooking/cangjie-skill/judgment-training
About the project

Cangjie Skill is a system that turns methods from books, long videos, podcasts, and other source material into executable skills for AI agents. It helps users package knowledge into callable workflows, using the repository's code, methods, and templates; catalogue add-ons relate to these agent skills.

kangarooking/cangjie-skill · 9,602 stars · on GitHub

Install

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.

Any agent
npx skills add kangarooking/cangjie-skill --skill judgment-training
Clone the repo
git clone --depth 1 https://github.com/kangarooking/cangjie-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for judgment-training

README.md
[![agentmods](https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/judgment-training.svg)](https://agentmods.dev/skills/kangarooking/cangjie-skill/judgment-training)
Your own site
<a href="https://agentmods.dev/skills/kangarooking/cangjie-skill/judgment-training"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/judgment-training.svg" alt="Measured on agentmods" height="20"></a>
Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,586 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00133 $0.01586
Opus 5 $0.00067 $0.00793
Sonnet 5 $0.00027 $0.00317
Haiku 4.5 $0.00013 $0.00159

Measured 8d ago against content hash 75e66dd728fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

judgment-training 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.

books/naval-almanack-skill/judgment-training/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

判断力训练

R — 原文 (Reading)

努力工作的价值真的被高估了。在现代经济中,努力工作不是那么重要。那什么被低估了?判断力。……真正聪明的思考者是思维清晰的思考者。他们理解非常非常基本的基础知识。……如果你不能根据需要从基础知识重新推导出概念,你会迷惑不解。你只是熟记而已。

— 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富

I — 方法论骨架 (Interpretation)

判断力=知道行为长期后果并据此决策的能力,它是杠杆时代最重要的生产力—— 一个正确的决定可以赢过大量低效努力,而错误方向上的努力只会放大损失。 训练判断力有三个路径: ① 从基础重建——真正理解=能从头推导;高级概念无法推导就只是熟记;最聪明的人能把事情向小孩讲明白; ② 打牢基础学科——数学、微观经济学、可证伪性等是「严肃知识」,比背诵复杂概念更值钱; ③ 收集心智模型——复利、委托代理、黑天鹅、进化论等模型库,遇到新问题先找合适的模型套用; ④ 留出思考空白——每周至少一天不安排会议,伟大的想法只在你无聊之后出现。

A1 — 书中的应用 (Past Application)

案例 1: 费曼三页纸讲数学

  • 问题: 如何判断一个人是否真的懂
  • 方法论的使用: 费曼从数字→计算→初级微积分,用不打破的逻辑链串起来,不靠定义
  • 结论: 能重建逻辑链才是真懂
  • 结果: 「如果你无法向小孩子讲明白,那么你并不是真的知道」

案例 2: 每周留白思考

  • 问题: 忙碌挤掉了思考时间
  • 方法论的使用: 每周留一两天不安排会议
  • 结论: 「只会在你感到无聊之后,才会有伟大的想法」
  • 结果: 判断力和好想法随之而来

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 方向选择:「这件事该不该做/往哪走」
  2. 评估言论:「这个专家的说法靠谱吗/是真懂还是包装」
  3. 学习新领域:「怎么快速建立对陌生领域的判断力」
  4. 决策前检查:「我的依据能不能从头推导」

语言信号

  • "帮我判断一下/评估一下"
  • "他怎么知道自己在说什么"
  • "我想提升自己的判断力/思维模型"
  • "how to think clearly / build judgment / is this credible"

与相邻 skill 的区分

  • decision-heuristics 的区别: 本 skill 是底层能力训练;决策启发式是即用规则
  • rational-buddhism 的区别: 本 skill 讲如何想清楚;理性佛教是验证一切主张的总标准

E — 可执行步骤 (Execution)

  1. 识别决策类型与后果尺度

    • 完成标准: 明确这是方向判断(长期后果大)还是执行选择(后果小);判断力优先投入前者
  2. 从基础重建核心假设

    • 完成标准: 把问题拆到「我能从头解释」的公理层;解释不了的部分标为未知
    • 判停条件: 若发现对方/自己满口大词但无法推导,标记为「不可信」,停止采信
  3. 套用已知心智模型

    • 完成标准: 至少匹配 1–2 个模型(复利/委托代理/可证伪性/黑天鹅…)交叉检验结论
  4. 预留思考留白

    • 完成标准: 每周安排 ≥1 天无会议/无任务,把最难的问题放进留白时段

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 用户只需要快速执行步骤(先执行,再复盘判断)
  • 信息查询类问题(查资料不需要完整推导)

作者在书中警告的失败模式

  • 熟记≠理解: 「如果你不能根据需要从基础知识重新推导出概念,你会迷惑不解」
  • 读错次序的博学: 虚假基础会过滤一切新想法

作者的盲点 / 时代局限

  • 「基础学科优先」隐含理性人假设,未覆盖情绪/直觉在决策中的作用
  • 判断力训练无法替代经验;作者自己也说判断力需要经验打底

容易混淆的邻近方法论

  • reading-metaskill: 阅读是判断力的供给管线

相关 skills (阶段 3 定稿)

  • depends-on: reading-metaskill(基础来自阅读)
  • composes-with: decision-heuristicsprincipal-agentrational-buddhism

Read the full file on GitHub · 125 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 8d ago First seen · 125 lines · 133 tokens per session scan A 75e66dd728fc

Subscribe to this mod's changes

judgment-training is a skill published in the GitHub repository kangarooking/cangjie-skill (9,602 stars, last pushed yesterday), licensed MIT. It adds 133 tokens to every session and 1,586 once invoked, about $0.0007 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.