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Memory Landscape Review

作者 wimi321 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
104
总下载
0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install claude-code-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

  1. Gather repo memory files and current auto-memory context.
  2. Classify each entry as repo-wide, personal, team-wide, or temporary.
  3. Detect duplicates, conflicts, and outdated instructions.
  4. Present a grouped report before making any changes.
  5. 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 only proposes changes to memory layers and promises no edits without approval. Before installing, confirm (1) your agent runtime only exposes the memory files you expect it to read, (2) you will review and approve any promotions/edits (do not grant blind write permissions), and (3) you keep backups of durable memory files in case you want to revert changes. If you need higher assurance, ask for a transcript of proposed changes before any writes are applied.
功能分析
Type: OpenClaw Skill Name: claude-code-memory-landscape-review Version: 1.0.0 The skill bundle is designed to help users manage and organize AI agent memory layers (e.g., CLAUDE.md and local memory files). The instructions in SKILL.md and agents/openai.yaml focus on auditing, deduplication, and promotion of instructions with explicit guardrails requiring user approval before any modifications are made. No malicious code, data exfiltration logic, or suspicious execution patterns were found.
能力评估
Purpose & Capability
The name/description match the runtime instructions: the skill is explicitly about auditing repo memory, local memory, and auto-memory and proposing promotions/cleanup. It does not request unrelated credentials, binaries, or config paths.
Instruction Scope
SKILL.md stays within the stated purpose: gather memory entries, classify, detect duplicates/conflicts, propose grouped reports, and only apply changes after explicit approval. It does not instruct the agent to read unrelated system files, exfiltrate data, or call external endpoints.
Install Mechanism
Instruction-only skill with no install spec and no code files to write or execute; therefore no installation risk or external downloads.
Credentials
No environment variables, credentials, or config paths are required. The inputs (repo memory files, auto-memory state, user preference) are directly relevant to the skill's function.
Persistence & Privilege
always:false and no config-modifying install behavior. The skill can be invoked autonomously (platform default), but it does not request permanent presence or elevated privileges and explicitly requires approval before edits.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install claude-code-memory-landscape-review
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /claude-code-memory-landscape-review 触发
  4. 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
Slug claude-code-memory-landscape-review
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
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 104 次。

如何安装 Memory Landscape Review?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install claude-code-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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