Openclaw Memory Enhancer
v0.1.0Edge-optimized RAG memory system for OpenClaw with semantic search. Automatically loads memory files, provides intelligent recall, and enhances conversations...
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byhenry@henryfcb
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Suspicious
medium confidencePurpose & Capability
The described capabilities (local semantic memory, auto-load from a memory/ folder, edge and standard versions) align with requiring only python3. However, the skill bundle contains no code files — SKILL.md references scripts (memory_enhancer_edge.py, memory_enhancer.py) and Python modules that are not included, so the instructions assume you'll fetch code from the GitHub homepage or ClawHub. This is plausible but worth noting.
Instruction Scope
The instructions direct the agent/user to load and automatically read all files from a 'memory/' directory and to store data under ~/.openclaw/workspace/knowledge-base/. That behavior is expected for a memory tool, but it can expose arbitrary local files if the directory is misconfigured or symlinked. The SKILL.md also asserts 'No network requests / No data leaves your device' while simultaneously documenting git clone and pip installs and an optional 'standard' mode that downloads models—this is a contradictory privacy claim that should be clarified.
Install Mechanism
There is no formal install spec in the bundle. The SKILL.md recommends git clone from a GitHub repo and (optionally) pip install for dependencies. Those are standard and traceable install mechanisms, but they will fetch code and packages from the network; verify the GitHub repository contents and maintainers before cloning or running scripts.
Credentials
The skill requests only python3 and declares no environment variables or credentials, which is proportionate to its stated purpose.
Persistence & Privilege
The skill does not request always: true and does not declare any elevated platform privileges. It is user-invocable and can be invoked autonomously by default, which is the normal platform behavior.
What to consider before installing
This skill is instruction-only and does not include the actual Python files it references; installing it will require cloning the GitHub repo or running pip, which downloads code and possibly models. Before installing or running anything: (1) Inspect the GitHub repository (https://github.com/henryfcb/openclaw-memory-enhancer) — review the code, README, and license. (2) Confirm which directory the tool will read (memory/ and ~/.openclaw/workspace/knowledge-base/) and ensure it won't be pointed at sensitive system or personal files. (3) Be aware the 'edge' path claims zero network activity but the documented install steps and the 'standard' mode do require network access — expect downloads if you follow those steps. (4) If you need strong privacy, prefer the edge workflow only after reviewing the edge script to confirm it truly performs no external network calls. (5) If you are not comfortable auditing the repo, avoid cloning/running provided scripts or run them in an isolated environment (VM/container) first.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🧠 Clawdis
Binspython3