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在 OpenClaw 中安装
/install memory-landscape-review
功能描述
Use when the user wants to review auto-memory, promote durable instructions into CLAUDE.md or local memory, and clean up duplicates or conflicts.
使用说明 (SKILL.md)
Memory Landscape Review
Use this skill to review project memory, local memory, and auto-memory together.
Workflow
- Gather repo memory files and current auto-memory context.
- Classify each entry as repo-wide, personal, team-wide, or temporary.
- Detect duplicates, conflicts, and outdated instructions.
- Present a grouped report before making any changes.
- Only apply promotions or cleanup after explicit approval.
Guardrails
- Propose first, edit second.
- Do not guess when an instruction might be personal vs shared.
- Keep transient notes out of durable memory files.
Example Requests
- Review my auto-memory and tell me what belongs in durable memory.
- Find duplicate or conflicting instructions across memory layers.
Inputs
- Repo memory files
- Auto-memory state
- User preference for shared vs local memory
Outputs
- Promotion proposals
- Conflict cleanup report
- No-change recommendations
Success Criteria
- Durable memory candidates are identified clearly.
- Duplicates and stale entries are surfaced.
- No edits happen before approval.
Non-Goals
- Silently editing memory files
- Guessing personal vs shared intent when ambiguous
Source Provenance
Derived from src/skills/bundled/remember.ts.
安全使用建议
This skill appears coherent and low-risk: it will analyze your repository memory files and the agent's auto-memory and propose promotions or cleanups but explicitly will not make edits without your approval. Before enabling, confirm that you are comfortable allowing the agent to read the repository memory files and its auto-memory state (these are the only inputs it needs). If you have sensitive personal data in those memories, review or remove it first. No external credentials or installers are requested by this skill.
功能分析
Type: OpenClaw Skill
Name: memory-landscape-review
Version: 1.0.0
The memory-landscape-review skill is a utility designed to help users organize and clean up project memory layers (e.g., CLAUDE.md). The instructions in SKILL.md and agents/openai.yaml focus on auditing, reporting, and seeking explicit user approval before making any changes, with no evidence of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
Name/description match the runtime instructions: the skill reviews repo memory files and auto-memory, classifies entries, finds duplicates/conflicts, and proposes promotions to durable memory. Asking for repo memory files and auto-memory state is reasonable for this purpose.
Instruction Scope
SKILL.md limits actions to gathering memory entries, classifying them, reporting, and making changes only after explicit approval. It does not instruct reading unrelated system files, environment variables, or exfiltrating data. Guardrails explicitly forbid silent edits and guessing personal/shared intent.
Install Mechanism
No install spec and no code files to execute; this is an instruction-only skill, which minimizes installation risk.
Credentials
The skill declares no environment variables, no credentials, and no config paths. Its inputs (repo memory files, auto-memory state, user preference) are proportionate to the stated task.
Persistence & Privilege
always:false (normal). The skill can be invoked autonomously (platform default) — not a concern on its own. Note that the agent will need access to the agent's auto-memory and repository memory files at runtime; ensure you are comfortable granting that scope.
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 memory-landscape-review - 安装完成后,直接呼叫该 Skill 的名称或使用
/memory-landscape-review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 extraction from local Claude Code source
元数据
常见问题
Memory Landscape Review 是什么?
Use when the user wants to review auto-memory, promote durable instructions into CLAUDE.md or local memory, and clean up duplicates or conflicts. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 101 次。
如何安装 Memory Landscape Review?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memory-landscape-review」即可一键安装,无需额外配置。
Memory Landscape Review 是免费的吗?
是的,Memory Landscape Review 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Memory Landscape Review 支持哪些平台?
Memory Landscape Review 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 Memory Landscape Review?
由 wimi321(@wimi321)开发并维护,当前版本 v1.0.0。
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