Real Skill packageSource verifiedClawHub registry

continue-learning

Instinct-based learning system for OpenClaw. Analyzes sessions, detects patterns, creates atomic learnings with confidence scoring, and suggests optimizations for self-evolution. Works alongside agent-self-improvement for complete learning: internal session analysis + external user feedback. Use when: you want your AI agent to learn from its own behavior, improve over time, discover optimization opportunities, or build a self-improving automation system. Don't use when: static agent behavior is preferred.

Identity and source

Publisher attributionadelproregistry owner unverified by skillvetai
Functional categoryAgent Engineering, Security & Governanceautomatically inferred · 55% rule confidence
Package forminstruction with code4 recorded files
Canonical sourceClawHub registryclawhub:adelpro:continue-learning
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/21/2026.claude/skills/continue-learning

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/21/2026.agents/skills/continue-learning

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/21/2026skills/continue-learning

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @adelpro/continue-learning
clawhub inspect @adelpro/continue-learning --version 1.3.2

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
4 / 4 inspected as text
Checked
8/21/2026, 1:59:10 AM
Scanner
0.1.3
Policy
1.0.3
4 inferred permission indicators
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
  • credential access — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/20/2026, 7:52:06 PM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:de35ec6226a914f67afab4245316de6dc8369d1a827ae232244eb097d37e68a4
Show up to 4 recorded paths
  • README.md
  • scripts/analyze.mjs
  • skill-card.md
  • SKILL.md

Source changelog

Version 1.3.2 of continue-learning adds security and privacy controls for learning data. - Session analysis now requires explicit agent scoping (`--agent <name>` or `--all`); running with no scope is not allowed. - All session-derived data stored is redacted for secrets and Unicode/control stripped before saving. - Retention limits added: instincts, evidence, and patterns are capped to recent data; nothing is retained unbounded. - New `prune` command deletes all stored learning data (instincts, patterns, optimizations). - Raw transcripts are never persisted; only redacted and aggregated information is stored. - skill-card.md documentation file removed.