learning-loop
What this skill does
The 'learning-loop' skill is a structured self-improvement system for AI agents. It helps agents retain knowledge across sessions, promote proven patterns into hard rules, track improvement over time,
github/leoyeai - Tool Misuse - 2.1k stars
Threat analysis
Skill info
pkg:github/LeoYeAI/openclaw-master-skills@e5199b5?skill=learning-loopAssessments (2)
Tool Misuse
Tool Misuse via local-llm-review
confidence-decay.sh
The script applies exponential decay to rule/lesson confidence scores, which could be misused if the decay logic is not properly constrained or if it leads to unintended rule deactivation.Data Handling
Data Handling via local-llm-review
archive-events.sh
The script moves events to dated archive files, which could potentially expose sensitive event data if not properly secured or if the archive directory is not protected.Badge
Add the Anomity scan badge for learning-loop to your README.
How Anomity governs this at runtime
Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.
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Methodology and disputes
Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of learning-loop? Report an issue or request a rescan.
