From helix
Show learning system health - insight counts, tag distribution, effectiveness, feedback loop status.
How this skill is triggered — by the user, by Claude, or both
Slash command
/helix:helix-statsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
```bash
HELIX="$(cat .helix/plugin_root)"
python3 "$HELIX/lib/memory/core.py" health
Returns: status (HEALTHY/NEEDS_ATTENTION), total_insights, total_edges, connected_ratio, avg_edges_per_insight, by_tag, effectiveness, with_feedback, recent_feedback, loop_coverage, causal_ratio, issues.
For distribution analysis and tuning constant calibration:
python3 "$HELIX/lib/memory/core.py" stats
Returns JSON with:
effectiveness — histogram of insight effectiveness (10 buckets)context_spread — distribution of generality scores (5 buckets)velocity — count by recent_uses valuetop_velocity — most actively used insightstop_connected — highest graph degree insightssession_log — outcome counts by type and agentnpx claudepluginhub enzokro/crinzo-plugins --plugin helixAnalyzes memory system state: health diagnostics, topic coverage scoring, knowledge gap detection, and filesystem validation. Use before new project phases or after backfill.
Shows session analytics, learning patterns, correction trends, heatmaps, and productivity metrics computed from project memory and session history. Use for stats, progress checks, or dashboard views.
Shows memory system health: working memory word counts/open loops, daily logs/registers/archive stats, stale/superseded entries, hooks status, with recommendations.