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在 OpenClaw 中安装
/install explain
功能描述
Learns how to explain things to your human. Adapts format, depth, and style by topic.
使用说明 (SKILL.md)
Adaptive Explanation Preferences
Scope: Human-facing explanations only. Track what lands and what misses.
Quick Reference
| File | Purpose |
|---|---|
formats.md |
When bullets/prose/headers work or fail |
depth.md |
Calibrating detail level by signals |
analogies.md |
When comparisons help vs hurt |
domains.md |
Patterns for code, concepts, debugging, decisions |
dimensions.md |
Full list of trackable dimensions |
Core Loop
- Observe — Notice when explanations work vs confuse
- Signal — "Got it" = worked. Follow-ups / "wait what?" = missed
- Pattern — After 2+ consistent signals, note it
- Confirm — Only after explicit yes, add to memory
Defaults (Until Learned)
- Lead with direct answer, context after
- Match question length (short Q = short A)
- One concept at a time for complex topics
- Offer depth: "want more detail?" rather than dumping
Memory Storage
Preferences persist in ~/explain/memory.md. Create on first use:
## Format
\x3C!-- Format: "topic: preference (level)" -->
\x3C!-- Ex: code: bullets (confirmed), concepts: prose (pattern) -->
## Depth
\x3C!-- Format: "topic: depth (level)" -->
\x3C!-- Ex: React: deep (confirmed), Git: tldr (pattern) -->
## Examples
\x3C!-- Format: "topic: example-style (level)" -->
\x3C!-- Ex: SQL: always examples (confirmed), theory: minimal (pattern) -->
## Jargon
\x3C!-- Format: "domain: jargon-level (level)" -->
\x3C!-- Ex: programming: full jargon (confirmed), finance: simplify (pattern) -->
## Never
\x3C!-- Approaches that fail. Format: "approach (level)" -->
\x3C!-- Ex: walls of text (confirmed), over-analogizing (pattern) -->
Levels: pattern (2+ signals) → confirmed (explicit yes) → locked (reinforced)
安全使用建议
This skill appears coherent and low-risk: it only contains guidance for adapting explanations and stores a local preference file at ~/explain/memory.md. Before installing, consider whether you are comfortable with the agent writing a small file to your home directory; you can inspect or delete that file at any time. If you have strict data controls, verify your platform's file-write policies for skills; otherwise this skill does not request credentials, network endpoints, or other sensitive access.
功能分析
Type: OpenClaw Skill
Name: explain
Version: 1.0.2
The OpenClaw skill bundle 'Explain' is designed to help an AI agent learn and adapt its explanation style. The `SKILL.md` file instructs the agent to persist learned preferences in `~/explain/memory.md`. This file write operation is specific, targets a non-sensitive location within the user's home directory, and is directly aligned with the skill's stated purpose of adaptive learning. All other `.md` files provide guidance and heuristics for the agent's explanation process. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent's core function or access sensitive data.
能力评估
Purpose & Capability
Name/description (adaptive explanation) match the content: guidance files and runtime SKILL.md all focus on formatting, depth, domains, and tracking preferences. No unrelated capabilities, binaries, or credentials are requested.
Instruction Scope
Runtime instructions are limited to observing user signals, adapting behavior, and optionally persisting confirmed preferences. They do not direct the agent to read other system files, network endpoints, or unrelated environment variables.
Install Mechanism
No install spec and no code files to execute; this is instruction-only, so nothing will be downloaded or installed on disk beyond the explicit memory file the skill asks to create.
Credentials
The skill declares no required env vars, credentials, or config paths. It does ask to create and maintain a single local file (~/explain/memory.md) which is proportional to the personalization purpose.
Persistence & Privilege
The skill persists preferences to ~/explain/memory.md and will create that file on first use. This is reasonable for a personalization skill, but it does create local state that may contain user-specific preferences. It is not set to always:true and does not request elevated privileges.
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 explain - 安装完成后，直接呼叫该 Skill 的名称或使用
/explain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
v1.0.2
Restructured with auxiliary files; added Quick Reference
v1.0.0
Initial release
元数据
常见问题
Explain 是什么？
Learns how to explain things to your human. Adapts format, depth, and style by topic. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 779 次。
如何安装 Explain？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install explain」即可一键安装，无需额外配置。
Explain 是免费的吗？
是的，Explain 完全免费（开源免费），可自由下载、安装和使用。
Explain 支持哪些平台？
Explain 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 Explain？
由 Iván（@ivangdavila）开发并维护，当前版本 v1.0.2。
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