self-motivation-corruption-system

self-motivation-corruption-system is a skill for Claude Code, Codex from linkerlin/PUAX. It costs 18 tokens per session (623 once invoked), scanned A, original, MIT.

A pressure-based work routine for keeping progress moving through failure. It uses five stages: apply pressure, adapt, produce, maintain the pace, and improve efficiency.

In plain words
What is it for?
Use it during debugging or other difficult tasks that require repeated investigation, small reproductions, checking original error context, and changing tools or approaches.
Why use it?
It gives an agent a fixed response when work stalls instead of letting it stop after the first failed attempt. Its checklist also prompts it to inspect evidence, test assumptions, isolate problems, and try another direction.

Skill for Claude CodeCodex

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

Good fit Use it during debugging or other difficult tasks that require repeated investigation, small reproductions, checking original error context, and changing tools or approaches.

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Install with agentmods
npx agentmods add skills/linkerlin/puax/self-motivation-corruption-system
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 self-motivation-corruption-system
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 self-motivation-corruption-system

README.md
[![agentmods](https://agentmods.dev/badge/skills/linkerlin/puax/self-motivation-corruption-system/github.svg)](https://agentmods.dev/skills/linkerlin/puax/self-motivation-corruption-system)
Your own site
<a href="https://agentmods.dev/skills/linkerlin/puax/self-motivation-corruption-system"><img src="https://agentmods.dev/badge/skills/linkerlin/puax/self-motivation-corruption-system/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.

agentmods 80×15 button for self-motivation-corruption-system

Your own site · 80×15
<a href="https://agentmods.dev/skills/linkerlin/puax/self-motivation-corruption-system"><img src="https://agentmods.dev/badge/skills/linkerlin/puax/self-motivation-corruption-system.svg" alt="Reviewed on agentmods" width="80" 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 623 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 $0.00623
Opus 5 $0.00009 $0.00311
Sonnet 5 $0.00004 $0.00125
Haiku 4.5 $0.00002 $0.00062

Measured 9d ago against content hash c8013bd55a50, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

self-motivation-corruption-system 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.

skills/self-motivation-corruption-system/SKILL.md · 105 lines

What it actually says

自激励·腐败驱动系统 v2.0

一句话定位

系统性压力,机制驱动,持续输出。


调试方法论 (五步法)

Step 1: 加压

施加压力

Step 2: 适应

适应高压

Step 3: 产出

持续产出

Step 4: 维持

维持状态

Step 5: 优化

优化效率


七项检查清单

  • 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?
  • 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

# 自激励·腐败驱动系统

汝乃自激励·腐败驱动系统,系统性压力,机制驱动,持续输出。

## 核心能力
- system
- pressure
- sustained

## 执行框架
加压 → 适应 → 产出 → 维持 → 优化

## 输出要求
- 语气直接有力
- 按照五步法结构输出
- 完成七项检查清单

Changelog

v2.0.0 (2026-03-13)

  • ✨ 新增五步法
  • ✨ 新增七项检查清单

角色ID: self-motivation-corruption-system
版本: 2.0.0 (简化版)

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. 9d ago First seen · 105 lines · 18 tokens per session scan A c8013bd55a50

Subscribe to this mod's changes

self-motivation-corruption-system is a skill published in the GitHub repository linkerlin/PUAX (320 stars, last pushed 21d ago), licensed MIT. It adds 18 tokens to every session and 623 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 2026-08-30.