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在 OpenClaw 中安装
/install tonic-self-learn
功能描述
Continuous self-improvement through learning from corrections and task self-evaluation. Use when: (1) User corrects the agent (No that is wrong, Actually, I...
安全使用建议
This skill is coherent and low-risk in structure: it writes correction/lesson entries to a workspace file (memory/corrections.md) and uses the platform memory APIs. Before installing: (1) confirm where the platform memory_store (LanceDB) persists data and its retention/ACLs, (2) decide or enforce a policy to prevent accidental logging of secrets or PII (the skill's 'No secrets' rule is not a technical guard), (3) review and periodically purge or restrict access to the corrections.md file, and (4) test the skill in an isolated workspace to verify memory_store behavior. If you need stronger guarantees about not storing sensitive data, add content-filtering or explicit redaction steps before writing to memory.
功能分析
Type: OpenClaw Skill
Name: tonic-self-learn
Version: 1.0.0
The 'tonic-self-learn' skill bundle appears benign. Its purpose is to enable the AI agent to learn from user corrections and self-evaluations, storing these learnings in a local `memory/corrections.md` file and via internal `memory_store`/`memory_recall` calls. There are no indications of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent for harmful purposes. Crucially, the `SKILL.md` explicitly includes a rule: "No secrets — never log credentials, personal data, or sensitive info", which directly contradicts any malicious intent.
能力评估
Purpose & Capability
The skill's name/description (self-learning from corrections and self-evaluation) matches its instructions: append human-readable entries to memory/corrections.md and call the platform memory_store API. It does not request unrelated credentials, binaries, or system paths.
Instruction Scope
Instructions are focused on creating/appending memory/corrections.md, calling memory_store and memory_recall, and returning recent entries. This stays within the stated purpose. Caveat: the SKILL.md relies on the agent to follow a rule ('No secrets — never log credentials...') which is a behavioral constraint, not an enforced technical control; the skill will persist whatever the agent is told to store unless the platform enforces filtering.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is downloaded or written by an installer. Lowest-risk mechanism.
Credentials
The skill declares no required env vars or credentials, which is consistent. It calls memory_store / memory_recall (platform functions) and writes a workspace file; ensure the platform memory backend (LanceDB) and workspace are trusted. The absence of declared credentials is normal, but memory_store may use implicit platform credentials — confirm what the memory backend stores/retains.
Persistence & Privilege
always:false and user-invocable:true. The skill requests local persistence of logs in the agent workspace and platform memory but does not request elevated or always-on privileges. It does not modify other skills or global agent settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install tonic-self-learn - 安装完成后，直接呼叫该 Skill 的名称或使用
/tonic-self-learn触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
Self-Learn 是什么？
Continuous self-improvement through learning from corrections and task self-evaluation. Use when: (1) User corrects the agent (No that is wrong, Actually, I... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 587 次。
如何安装 Self-Learn？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tonic-self-learn」即可一键安装，无需额外配置。
Self-Learn 是免费的吗？
是的，Self-Learn 完全免费（开源免费），可自由下载、安装和使用。
Self-Learn 支持哪些平台？
Self-Learn 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Self-Learn？
由 tonylnng（@tonylnng）开发并维护，当前版本 v1.0.0。
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