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 Jamie-BitFlight/claude_skills --skill kaizen-improvementgit clone --depth 1 https://github.com/Jamie-BitFlight/claude_skillsWrote 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/jamie-bitflight/claude_skills/kaizen-improvement)<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/kaizen-improvement"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/kaizen-improvement/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/jamie-bitflight/claude_skills/kaizen-improvement"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/kaizen-improvement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00074 | $0.00811 |
| Opus 5 | $0.00037 | $0.00405 |
| Sonnet 5 | $0.00015 | $0.00162 |
| Haiku 4.5 | $0.00007 | $0.00081 |
Grade A, and why
kaizen-improvement 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kaizen Improvement
Transform analysis findings from .planning/kaizen/ into actionable improvements — hooks, agent patches, skill refinements, CLAUDE.md updates, and automation scripts.
Prerequisite: Analysis findings must exist in .planning/kaizen/ (generated by the transcript-analysis skill).
Improvement Types
Each category of output below has a delegation template:
- Hook generation — PreToolUse deny/redirect, SubagentStart context injection, Stop quality gates
- Agent prompt refinement — surgical fixes to agent system prompts via @subagent-refactorer
- Skill patches — add missing knowledge to skills via /plugin-creator:skill-creator
- CLAUDE.md updates — project-wide behavioral rules
- Script automation — replace repeated manual workflows with scripts or skills
For detailed templates and examples, see Improvement Templates.
For the Autonomous Refinement Loop (ARL) knowledge base — Layer 3 implementation details, prerequisites, and research synthesis — see ARL Knowledge.
Workflow
flowchart TD
Start([Read analysis findings]) --> Parse[Extract anti-patterns with frequency and evidence]
Parse --> Score[Score by frequency × impact]
Score --> Top[Select top findings]
Top --> Type{Improvement type?}
Type -->|Repeated tool misuse| Hook[Generate hook — deny/redirect]
Type -->|Agent behavior issue| Agent[Generate agent patch instruction set]
Type -->|Knowledge gap| Skill[Generate skill patch instruction set]
Type -->|Project-wide issue| Claude[Generate CLAUDE.md addition]
Type -->|Manual workflow| Script[Generate automation proposal]
Hook --> Output[Write to .planning/kaizen/improvements/]
Agent --> Output
Skill --> Output
Claude --> Output
Script --> Output
Output --> Install{--install flag?}
Install -->|Yes| Apply[Write hooks to settings, apply patches]
Install -->|No| Draft[Leave as proposals for review]
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.
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.
- 9d ago First seen · 85 lines · 74 tokens per session scan A a34abe9612e6
kaizen-improvement is a skill published in the GitHub repository Jamie-BitFlight/claude_skills (66 stars, last pushed today), licensed MIT. It adds 74 tokens to every session and 811 once invoked, about $0.0004 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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