SkillsAdd

smithery.ai

helix-stats

Show learning system health - insight counts, tag distribution, effectiveness, feedback loop status.

First seen Apr 3, 2026

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

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Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai
smithery-ai-cli 7.8K frontend-design 6.2K skill-creator 2.5K ck:ui-ux-pro-max 1.3K pdf 1.2K xlsx 966 pptx 894 docx 884 webapp-testing 1 web-design-reviewer 657

Browse all from smithery.ai

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 966 B
  • docs SUMMARY.md 107 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

System Health

HELIX="$(cat .helix/plugin_root)"
python3 "$HELIX/lib/memory/core.py" health

Returns: status (HEALTHY/NEEDSATTENTION), totalinsights, totaledges, connectedratio, avgedgesperinsight, bytag, effectiveness, withfeedback, recentfeedback, loopcoverage, causalratio, issues.

Detailed Stats

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 value
  • top_velocity — most actively used insights
  • top_connected — highest graph degree insights
  • session_log — outcome counts by type and agent