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OpenClaw: memory optimizer

作者 NICSHLIU · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install openclaw-memory-optimizer
功能描述
自动优化 OpenClaw 4.2 记忆搜索参数。当用户提到记忆不准确、搜索结果太少、MMR 关闭、时间衰减未启用、session 同步阈值过高,或者要求优化 OpenClaw 记忆系统时触发。也用于定期检查和调整 memory-search 配置。
安全使用建议
This skill appears coherent and limited to tuning your local OpenClaw memory-search config. Before using it: (1) ensure you have the openclaw CLI and python3 installed (the SKILL.md assumes them); (2) back up ~/.openclaw/openclaw.json before making changes; (3) review any proposed config edits/commands before running them (they will edit your config and may restart the OpenClaw gateway); and (4) note the skill does not request network credentials or send data externally. If you need the skill to declare prerequisites, ask the author to list required binaries and a safety checklist.
功能分析
Type: OpenClaw Skill Name: openclaw-memory-optimizer Version: 1.0.0 The skill bundle is designed to optimize OpenClaw 4.2 memory search parameters by reading and modifying the local configuration file (~/.openclaw/openclaw.json). The instructions in SKILL.md and documentation in references/defaults.md provide legitimate tuning parameters (e.g., maxResults, minScore, MMR settings) and use standard CLI commands (openclaw config set) to apply them, with no evidence of data exfiltration or malicious intent.
能力评估
Purpose & Capability
The name/description match the actions in SKILL.md: inspecting and tuning OpenClaw 4.2 memory-search settings. One minor mismatch: the SKILL.md assumes the presence of the 'openclaw' CLI and python3 for a one-liner, but the registry metadata does not declare required binaries. This is a usability omission, not a security mismatch.
Instruction Scope
Instructions are narrowly scoped to reading and editing ~/.openclaw/openclaw.json, setting config via the openclaw CLI, toggling environment feature flags for the gateway, and running OpenClaw diagnostics. There are no steps that read unrelated system files, transmit data to external endpoints, or request broad system context.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes disk write/execution risk. SKILL.md relies on existing tooling (openclaw CLI, python3) rather than installing new packages.
Credentials
The skill does not request environment variables, credentials, or config paths beyond the local OpenClaw config (~/.openclaw/openclaw.json). It suggests temporarily setting feature-flag env vars (OPENCLAW_MEMORY_MMR, OPENCLAW_MEMORY_TEMPORAL_DECAY) for runtime toggles, which is proportional to the task.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent elevation, nor does it modify other skills or system-wide agent settings beyond advising edits to the OpenClaw config and restarting the gateway (expected for applying changes).
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 openclaw-memory-optimizer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openclaw-memory-optimizer 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 release: optimize OpenClaw 4.2 memory search + compact + freshness + trust validation
元数据
Slug openclaw-memory-optimizer
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

OpenClaw: memory optimizer 是什么?

自动优化 OpenClaw 4.2 记忆搜索参数。当用户提到记忆不准确、搜索结果太少、MMR 关闭、时间衰减未启用、session 同步阈值过高,或者要求优化 OpenClaw 记忆系统时触发。也用于定期检查和调整 memory-search 配置。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 177 次。

如何安装 OpenClaw: memory optimizer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-memory-optimizer」即可一键安装,无需额外配置。

OpenClaw: memory optimizer 是免费的吗?

是的,OpenClaw: memory optimizer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

OpenClaw: memory optimizer 支持哪些平台?

OpenClaw: memory optimizer 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 OpenClaw: memory optimizer?

由 NICSHLIU(@nicshliu)开发并维护,当前版本 v1.0.0。

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