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.
npx skills add LiHongwei-cn/lihongwei-cn --skill kaizengit clone --depth 1 https://github.com/LiHongwei-cn/lihongwei-cnWrote 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/skills/lihongwei-cn/lihongwei-cn/kaizen)<a href="https://agentmods.dev/skills/lihongwei-cn/lihongwei-cn/kaizen"><img src="https://agentmods.dev/badge/skills/lihongwei-cn/lihongwei-cn/kaizen/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/skills/lihongwei-cn/lihongwei-cn/kaizen"><img src="https://agentmods.dev/badge/skills/lihongwei-cn/lihongwei-cn/kaizen.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 | $0.00036 | $0.04195 |
| Opus 5 | $0.00018 | $0.02098 |
| Sonnet 5 | $0.00007 | $0.00839 |
| Haiku 4.5 | $0.00004 | $0.00419 |
Grade A, and why
kaizen 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.
This is a copy
92% identical to kaizen — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 738 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kaizen: Continuous Improvement
Overview
Small improvements, continuously. Error-proof by design. Follow what works. Build only what's needed.
Core principle: Many small improvements beat one big change. Prevent errors at design time, not with fixes.
When to Use
Always applied for:
- Code implementation and refactoring
- Architecture and design decisions
- Process and workflow improvements
- Error handling and validation
Philosophy: Quality through incremental progress and prevention, not perfection through massive effort.
The Four Pillars
1. Continuous Improvement (Kaizen)
Small, frequent improvements compound into major gains.
Principles
Incremental over revolutionary:
- Make smallest viable change that improves quality
- One improvement at a time
- Verify each change before next
- Build momentum through small wins
Always leave code better:
- Fix small issues as you encounter them
- Refactor while you work (within scope)
- Update outdated comments
- Remove dead code when you see it
Iterative refinement:
- First version: make it work
- Second pass: make it clear
- Third pass: make it efficient
- Don't try all three at once
// Iteration 2: Make it clear (refactor) const calculateTotal = (items: Item[]): number => { return items.reduce((total, item) => { return total + (item.price * item.quantity); }, 0); };
// Iteration 3: Make it robust (add validation) const calculateTotal = (items: Item[]): number => { if (!items?.length) return 0;
return items.reduce((total, item) => { if (item.price < 0 || item.quantity < 0) { throw new Error('Price and quantity must be non-negative'); } return total + (item.price * item.quantity); }, 0); };
Each step is complete, tested, and working
</Good>
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 · 738 lines · 36 tokens per session scan A c1ed4aa3cc0b
kaizen is a skill published in the GitHub repository LiHongwei-cn/lihongwei-cn (5 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 4,195 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to kaizen, differing in 7 lines, and is treated as a copy.
Other skills, from other repositories
auto-review
Use this skill to configure and understand the built-in auto-review plugin (wstack-auto-review) that fires automated code review subagents on every code change during a session. Triggers: user says "auto review", "otomatik review", "auto code review", "her değişiklikte review", "/auto-review".
reviewing-changes
Use when a review package asks you to review a plan step's change set (todo.startReview): you are the REVIEWER, not the author. How to judge an agent-written diff, file findings with addreviewcomment, and settle with exactly one reviewverdict.
meta-reviewing-ai-reviewing
AI integration review patterns. Use when reviewing model API calls, prompt construction, LLM output handling, RAG pipelines, and tool-calling code. Covers prompt-injection call-chain tracing, output validation, token budgets, retry/timeout handling, streaming, and key/PII exposure.
meta-reviewing-infra-reviewing
Infrastructure code review patterns. Use when reviewing CI/CD workflows, Dockerfiles, deployment configs, and IaC. Covers supply-chain pinning, secret exposure, container hygiene, least-privilege permissions, and deployment safety.
meta-reviewing-web-reviewing
UI component review patterns. Use when reviewing React components, hooks, props, state, styling, and accessibility. Covers rules of hooks, effect cleanup, render performance, list keys, keyboard and ARIA patterns.
cli-framework-cli-commander
Node.js CLI development with Commander.js and @clack/prompts - command structure, interactive prompts, wizard state machines, config hierarchies, exit codes, cancellation handling.