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Install in OpenClaw
/install openclaw-memory-optimizer
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-memory-optimizer - After installation, invoke the skill by name or use
/openclaw-memory-optimizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: optimize OpenClaw 4.2 memory search + compact + freshness + trust validation
Metadata
Frequently Asked Questions
What is OpenClaw: memory optimizer?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 177 downloads so far.
How do I install OpenClaw: memory optimizer?
Run "/install openclaw-memory-optimizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is OpenClaw: memory optimizer free?
Yes, OpenClaw: memory optimizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does OpenClaw: memory optimizer support?
OpenClaw: memory optimizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created OpenClaw: memory optimizer?
It is built and maintained by NICSHLIU (@nicshliu); the current version is v1.0.0.
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