Daxiang Memory Optimization
v1.0.0Optimizes memory management by scoring, pruning low-value entries, controlling size, and smartly retrieving top relevant memories for efficient access.
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
Name/description (memory scoring, pruning, retrieval, capacity control) match the content of SKILL.md and config.json. The skill only references memory file locations (memory/, library/, archive) and local scoring/archiving operations—nothing unrelated (no cloud credentials, no unrelated binaries).
Instruction Scope
SKILL.md contains clear algorithms and examples (Python and PowerShell) for scoring, pruning, size control, and retrieval. It explicitly instructs archiving/deleting low‑value memories and periodic maintenance. These actions are within the stated purpose but are potentially destructive and the doc is implementation‑level yet leaves key functions (archive_memory, log) and scheduling/authorization details unspecified.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute. No downloads or package installs are required, so there is minimal install risk.
Credentials
No environment variables, credentials, or external endpoints are requested. config.json contains only local configuration (window, thresholds, archive_dir, retention), which is proportional to the stated functionality.
Persistence & Privilege
The skill does not request 'always' or other elevated platform privileges. However, it describes operations that will archive or delete local memory files; safe use therefore depends on how the agent implements those operations and whether automated pruning is enabled—this is a runtime safety consideration rather than a permissions mismatch.
Assessment
This skill appears to do what it says (score, prune, archive, retrieve memories) and does not request external credentials, but it will delete or archive local memory files if enabled. Before installing or enabling automatic pruning: 1) back up your memory files and test the algorithm on a small dataset; 2) review/confirm where archive_dir points and retention settings; 3) set conservative thresholds and dry‑run mode if possible; 4) ensure the agent or host implements archive_memory/log safely (no accidental deletion of unrelated files); and 5) restrict autonomous invocation or scheduled pruning until you are confident it behaves as intended.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.