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 from project memory and session history.
Analyzes Claude Code session data to produce a usage analytics dashboard with epistemic protocol coverage, friction analysis, and growth timeline.
Observability dashboard that analyzes session stats, agent tracking, hook performance, and learning health. Provides actionable recommendations for skill calibration.