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From contextstellar
Show ContextStellar scoring statistics, RLM learning progress, and grade distribution for the current project. Use when the user asks about their scoring stats, prompt quality trends, or RLM weight learning.
How this skill is triggered — by the user, by Claude, or both
Slash command
/contextstellar:statsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Show scoring statistics and RLM learning progress for the current project.
Show scoring statistics and RLM learning progress for the current project.
Check that CONTEXTSTELLAR_API_KEY is set. If not, tell the user to run /contextstellar:setup.
Fetch the shell stats (lightweight summary):
curl -s "${CONTEXTSTELLAR_BASE_URL:-https://contextstellar.com}/api/v1/hooks/shell-stats" \
-H "Authorization: ${CONTEXTSTELLAR_API_KEY}"
curl -s "${CONTEXTSTELLAR_BASE_URL:-https://contextstellar.com}/api/v1/hooks/stats?projectId=${CONTEXTSTELLAR_PROJECT_ID}" \
-H "Authorization: ${CONTEXTSTELLAR_API_KEY}"
Quick Summary (from shell-stats):
Detailed View (from full stats, if requested):
If RLM confidence is low (< 40%), suggest the user keep using Claude Code to accumulate more samples for better weight learning.
If the average score is below B, suggest running /contextstellar:optimize for improvement tips.
npx claudepluginhub sunnypatneedi/claude-code-contextstellarShows 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.
Generates usage analytics dashboard from Claude Code sessions with epistemic protocol coverage metrics, friction analysis, growth timelines, and improvement recommendations.
Renders an HTML scorecard and terminal summary showing how much a session/project used Claude, Codex, and Cursor backends, based on the orchestration ledger and lifetime totals.