Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
A memory management upgrade for LYGO systems that enforces a 20-file active index, fragile tagging, and structured audit and compression workflows. Provenance is tracked via LYGO-MINT hashes and anchors. Acts only when explicitly invoked.
Keeps agent context lean and verifiable by enforcing a hard file cap and hash-based provenance, which ad-hoc memory schemes lack.
When to use it
- Auditing a LYGO memory index for drift or stale files
- Flagging sensitive memory files for manual review with FRAGILE tags
- Compressing a large log archive into a clean Master Archive
- Minting a verified snapshot of living memory with LYGO-MINT
- Checking index integrity before a major agent session
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Run Living Memory Audit and report drift and fragile flags.
- 1Loads the Max20 index from references/core_files_index.json
- 2Runs scripts/audit_library.py against the active index
- 3Identifies files marked {FRAGILE} or showing content drift
- 4Generates an audit report listing integrity status per file
- 5Returns a summary of flagged files and recommended actions
Audit report listing each indexed file, its LYGO-MINT hash status, any drift detected, and files requiring manual review