From rlm
Displays RLM token savings dashboard quantifying context window space saved by RLM patterns vs raw data dumps. Trigger: /rlm:stats
How this skill is triggered — by the user, by Claude, or both
Slash command
/rlm:statsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Show how much context window space RLM patterns have saved.
Show how much context window space RLM patterns have saved.
Run the stats script using Bash:
python "${CLAUDE_PLUGIN_ROOT}/src/stats.py"
If ${CLAUDE_PLUGIN_ROOT} is not set (e.g., during local dev), use the plugin directory path directly.
CRITICAL: Copy-paste the ENTIRE output as markdown into your response. Do NOT summarize or collapse it. The user must see the full dashboard.
After the dashboard, add a one-line highlight, e.g.:
If the user says "reset", run:
python "${CLAUDE_PLUGIN_ROOT}/src/stats.py" reset
npx claudepluginhub lets7512/rlm-skill --plugin rlmDisplays context window token consumption, savings ratio, and per-tool breakdown for the current session. Read-only stats, no reset capability.
Analyzes Claude Code conversation logs for token usage, costs, cache hit rates, workflow patterns (skills, agents, hooks), and cost optimizations. Generates interactive HTML dashboard.
Shows an on-demand dashboard of basemind usage metrics: tool call counts, per-tool histogram, and estimated token savings vs grep+Read baseline.