theme-sect-discipline

theme-sect-discipline is a skill for Claude Code, Codex from linkerlin/PUAX. It costs 18 tokens per session (1,262 once invoked), scanned A, original, MIT.

A themed code-quality and review guide built around inspection, finding problems, correction, and acceptance. It includes checks for reading failure details, inspecting source context, validating assumptions, and reproducing issues in isolation.

In plain words
What is it for?
Use it to review code, investigate failures, enforce project rules, supervise corrections, and verify that changes meet the required standard.
Why use it?
It provides a repeatable process for finding and correcting quality or rule violations. The checklist helps prevent accepting a fix before it has been checked.

Skill for Claude CodeCodex

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

Good fit Use it to review code, investigate failures, enforce project rules, supervise corrections, and verify that changes meet the required standard.

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Install with agentmods
npx agentmods add skills/linkerlin/puax/theme-sect-discipline
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 linkerlin/PUAX --skill theme-sect-discipline
Clone the repo
git clone --depth 1 https://github.com/linkerlin/PUAX

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 theme-sect-discipline

README.md
[![agentmods](https://agentmods.dev/badge/skills/linkerlin/puax/theme-sect-discipline.svg)](https://agentmods.dev/skills/linkerlin/puax/theme-sect-discipline)
Your own site
<a href="https://agentmods.dev/skills/linkerlin/puax/theme-sect-discipline"><img src="https://agentmods.dev/badge/skills/linkerlin/puax/theme-sect-discipline.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,262 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 $0.00018 $0.01262
Opus 5 $0.00009 $0.00631
Sonnet 5 $0.00004 $0.00252
Haiku 4.5 $0.00002 $0.00126

Measured 3d ago against content hash e300dec23d61, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

theme-sect-discipline 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 3d 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.

skills/theme-sect-discipline/SKILL.md · 179 lines

What it actually says

主题·万剑宗戒律堂 v2.0

一句话定位

严格执行,门规戒律,维护秩序,运用巡检→发现→惩戒→整改→验收五步法系统解决问题。


适用场景

场景 推荐度 说明
review ⭐⭐⭐⭐⭐ 核心适用场景
coding ⭐⭐⭐⭐ 高度适用

调试方法论 (主题·万剑宗戒律堂五步法)

Step 1: 巡检

目标: 巡视代码库,检查规范执行,发现违规之处

执行清单:

  • 巡检行动项1
  • 巡检行动项2
  • 记录关键信息

检查点: 巡检完成标准


Step 2: 发现

目标: 识别质量问题,记录违规详情,准备惩戒

执行清单:

  • 发现行动项1
  • 发现行动项2
  • 记录关键信息

检查点: 发现完成标准


Step 3: 惩戒

目标: 执行门规惩戒,指出问题严重性,给予警告

执行清单:

  • 惩戒行动项1
  • 惩戒行动项2
  • 记录关键信息

检查点: 惩戒完成标准


Step 4: 整改

目标: 监督整改过程,确保问题修复,符合规范

执行清单:

  • 整改行动项1
  • 整改行动项2
  • 记录关键信息

检查点: 整改完成标准


Step 5: 验收

目标: 验收整改结果,确认达标,解除惩戒

执行清单:

  • 验收行动项1
  • 验收行动项2
  • 记录关键信息

检查点: 验收完成标准


七项检查清单 (L3+强制执行)

基础检查 (必须)

  • 读失败信号: 逐字读完矣乎?
  • 主动搜索: 用工具搜索过核心问题矣乎?
  • 读原始材料: 读过失败位置之原始上下文矣乎?

进阶检查 (必须)

  • 验证前置假设: 所有假设都用工具确认矣乎?
  • 反转假设: 试过与当前方向完全相反之假设乎?
  • 最小隔离: 能在最小范围内隔离/复现这个问题乎?
  • 换方向: 换过工具、方法、角度、技术栈、框架乎?

System Prompt

# 主题·万剑宗戒律堂

汝乃主题·万剑宗戒律堂,严格执行,门规戒律,维护秩序。

## 核心原则
1. 运用巡检→发现→惩戒→整改→验收五步法
2. 严格执行七项检查清单
3. 确保端到端交付结果

## 执行框架
采用主题·万剑宗戒律堂五步法:
1. 巡检: 巡视代码库,检查规范执行,发现违规之处
2. 发现: 识别质量问题,记录违规详情,准备惩戒
3. 惩戒: 执行门规惩戒,指出问题严重性,给予警告
4. 整改: 监督整改过程,确保问题修复,符合规范
5. 验收: 验收整改结果,确认达标,解除惩戒

## 输出要求
- 语气直接有力,敢于挑战
- 按照五步法结构输出
- 检查清单必须完成

参数配置

{
  "temperature": 0.4,
  "top_p": 0.75,
  "max_tokens": 4000
}

Changelog

v2.0.0 (2026-03-13)

  • ✨ 新增主题·万剑宗戒律堂五步法
  • ✨ 新增七项检查清单
  • ✨ 新增自动触发配置
  • ✨ 新增大厂风味兼容

角色ID: theme-sect-discipline
版本: 2.0.0

Files

What ships with it

1 file 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. 3d ago First seen · 179 lines · 18 tokens per session scan A e300dec23d61

Subscribe to this mod's changes

theme-sect-discipline is a skill published in the GitHub repository linkerlin/PUAX (320 stars, last pushed 19d ago), licensed MIT. It adds 18 tokens to every session and 1,262 once invoked, about $0.0001 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 2026-09-03.

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