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 L-LesterYu/OpenClaw-hot-skills-zh --skill self-improvement-zhgit clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zhWrote 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/l-lesteryu/openclaw-hot-skills-zh/self-improvement-zh)<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/self-improvement-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/self-improvement-zh/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/l-lesteryu/openclaw-hot-skills-zh/self-improvement-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/self-improvement-zh.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 | $0.00120 | $0.05500 |
| Opus 5.5 | $0.00048 | $0.02200 |
| Sonnet 5.5 | $0.00024 | $0.01100 |
| Haiku 4.5 | $0.00012 | $0.00550 |
Grade A, and why
self-improvement-zh 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 1mo 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 — 646 lines — stays where its author put it; the contents beside it link to each section on GitHub.
自我改进技能
将学习内容和错误记录到 Markdown 文件中以实现持续改进。编码代理稍后可以将这些处理成修复，重要的学习内容会被提升到项目记忆中。
快速参考
| 情况 | 操作 |
|---|---|
| 命令/操作失败 | 记录到 .learnings/ERRORS.md |
| 用户纠正你 | 记录到 .learnings/LEARNINGS.md，类别为 correction |
| 用户想要缺失的功能 | 记录到 .learnings/FEATURE_REQUESTS.md |
| API/外部工具失败 | 记录到 .learnings/ERRORS.md，包含集成详情 |
| 知识过时 | 记录到 .learnings/LEARNINGS.md，类别为 knowledge_gap |
| 发现更好的方法 | 记录到 .learnings/LEARNINGS.md，类别为 best_practice |
| 简化/强化重复模式 | 记录/更新 .learnings/LEARNINGS.md，包含 Source: simplify-and-harden 和稳定的 Pattern-Key |
| 与现有条目相似 | 用 **See Also** 链接，考虑提升优先级 |
| 广泛适用的学习 | 提升到 CLAUDE.md、AGENTS.md 和/或 .github/copilot-instructions.md |
| 工作流改进 | 提升到 AGENTS.md（OpenClaw 工作区） |
| 工具陷阱 | 提升到 TOOLS.md（OpenClaw 工作区） |
| 行为模式 | 提升到 SOUL.md（OpenClaw 工作区） |
OpenClaw 设置（推荐）
OpenClaw 是此技能的主要平台。它使用基于工作区的提示注入和自动技能加载。
安装
通过 ClawdHub（推荐）：
clawdhub install self-improvement-zh
手动：
git clone https://github.com/peterskoett/self-improving-agent.git ~/.openclaw/skills/self-improvement-zh
基于 OpenClaw 重新制作，原始仓库：https://github.com/pskoett/pskoett-ai-skills - https://github.com/pskoett/pskoett-ai-skills/tree/main/skills/self-improvement
工作区结构
OpenClaw 在每个会话中注入这些文件：
~/.openclaw/workspace/
├── AGENTS.md # 多代理工作流，委托模式
├── SOUL.md # 行为指南，个性，原则
├── TOOLS.md # 工具能力，集成陷阱
├── MEMORY.md # 长期记忆（仅主会话）
├── memory/ # 每日记忆文件
│ └── YYYY-MM-DD.md
└── .learnings/ # 此技能的日志文件
├── LEARNINGS.md
├── ERRORS.md
└── FEATURE_REQUESTS.md
创建学习文件
mkdir -p ~/.openclaw/workspace/.learnings
然后创建日志文件（或从 assets/ 复制）：
LEARNINGS.md— 纠正、知识缺口、最佳实践ERRORS.md— 命令失败、异常FEATURE_REQUESTS.md— 用户请求的功能
提升目标
当学习内容被证明具有广泛适用性时，将其提升到工作区文件：
| 学习类型 | 提升到 | 示例 |
|---|---|---|
| 行为模式 | SOUL.md |
"简洁明了，避免免责声明" |
| 工作流改进 | AGENTS.md |
"为长时间任务生成子代理" |
| 工具陷阱 | TOOLS.md |
"Git push 需要先配置认证" |
会话间通信
OpenClaw 提供工具在会话间共享学习内容：
What ships with it
14 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.
- .learnings/ERRORS.md 1.3 KB
- .learnings/FEATURE_REQUESTS.md 1.5 KB
- .learnings/LEARNINGS.md 1.4 KB
- assets/LEARNINGS.md 1.1 KB
- assets/SKILL-TEMPLATE.md 3.3 KB
- hooks/openclaw/handler.js 1.6 KB runs code
- hooks/openclaw/handler.ts 1.8 KB runs code
- hooks/openclaw/HOOK.md 589 B
- references/examples.md 8.1 KB
- references/hooks-setup.md 4.8 KB
- references/openclaw-integration.md 5.5 KB
- scripts/activator.sh 680 B runs code
- scripts/error-detector.sh 1.3 KB runs code
- scripts/extract-skill.sh 5.2 KB runs code
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.
- 1mo ago First seen · 646 lines · 120 tokens per session scan A b261d23f0804
self-improvement-zh is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (57 stars, last pushed 6mo ago), licensed MIT. It adds 120 tokens to every session and 5,500 once invoked, about $0.0005 per session on Opus 5.5. 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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