stats
The stats skill collects and displays vault health metrics including note counts, connection density, orphaned notes, and growth trends. Use it to monitor knowledge graph status, identify fragmentation, generate shareable summaries, or investigate specific metric categories like health or pipeline through the "/stats" command with optional filtering arguments.
git clone --depth 1 https://github.com/agenticnotetaking/arscontexta /tmp/stats && cp -r /tmp/stats/skill-sources/stats ~/.claude/skills/statsSKILL.md
## Runtime Configuration (Step 0 — before any processing)
Read these files to configure domain-specific behavior:
1. **`ops/derivation-manifest.md`** — vocabulary mapping
- Use `vocabulary.notes` for the notes folder name
- Use `vocabulary.note` / `vocabulary.note_plural` for note type references
- Use `vocabulary.topic_map` / `vocabulary.topic_map_plural` for MOC references
- Use `vocabulary.inbox` for the inbox folder name
- Use `vocabulary.notes_collection` for semantic search collection name
2. **`ops/config.yaml`** — processing depth, automation settings
If no derivation file exists, use universal terms (notes, MOCs, etc.).
---
## EXECUTE NOW
**Target: $ARGUMENTS**
Parse immediately:
- If target contains `--share`: output compact shareable format after full stats
- If target is empty: output full stats display
- If target names a specific category (e.g., "health", "growth", "pipeline"): show only that category
**START NOW.** Collect metrics and present them.
---
## Philosophy
**Make the invisible visible.**
The knowledge graph grows silently. Without metrics, the user cannot tell whether their system is healthy, growing, stagnating, or fragmenting. /stats provides a snapshot that makes growth tangible — numbers that show progress, health indicators that catch problems, and trends that reveal trajectory.
The output should make the user feel informed, not overwhelmed. Metrics are evidence, not judgment. "12 orphans" is a fact. What to DO about it belongs to /graph or /{vocabulary.cmd_reflect}.
---
## Step 1: Collect Metrics
Gather all metrics. Run these checks in parallel where possible to minimize latency.
### 1a. Knowledge Graph Metrics
```bash
NOTES_DIR="{vocabulary.notes}"
# Note count (excluding MOCs)
TOTAL_FILES=$(ls -1 "$NOTES_DIR"/*.md 2>/dev/null | wc -l | tr -d ' ')
MOC_COUNT=$(grep -rl '^type: moc' "$NOTES_DIR"/*.md 2>/dev/null | wc -l | tr -d ' ')
NOTE_COUNT=$((TOTAL_FILES - MOC_COUNT))
# Connection count (all wiki links across notes/)
LINK_COUNT=$(grep -ohP '\[\[[^\]]+\]\]' "$NOTES_DIR"/*.md 2>/dev/null | wc -l | tr -d ' ')
# Average connections per note
if [[ "$NOTE_COUNT" -gt 0 ]]; then
AVG_LINKS=$(echo "scale=1; $LINK_COUNT / $NOTE_COUNT" | bc)
else
AVG_LINKS="0"
fi
# Topic count (unique values in topics: fields)
TOPIC_COUNT=$(grep -ohP '^\s*-\s*"\[\[([^\]]+)\]\]"' "$NOTES_DIR"/*.md 2>/dev/null | sort -u | wc -l | tr -d ' ')
# Link density
if [[ "$NOTE_COUNT" -gt 1 ]]; then
POSSIBLE=$((NOTE_COUNT * (NOTE_COUNT - 1)))
DENSITY=$(echo "scale=4; $LINK_COUNT / $POSSIBLE" | bc)
else
DENSITY="N/A"
fi
```
### 1b. Health Metrics
```bash
# Orphan count (notes with zero incoming links)
ORPHAN_COUNT=0
for f in "$NOTES_DIR"/*.md; do
NAME=$(basename "$f" .md)
grep -q '^type: moc' "$f" 2>/dev/null && continue
INCOMING=$(grep -rl "\[\[$NAME\]\]" "$NOTES_DIR"/ 2>/dev/null | grep -v "$f" | wc -l | tr -d ' ')
[[ "$INCOMING" -eq 0 ]] && ORPHAN_COUNT=$((ORPHAN_COUNT + 1))
done
# Dangling link count
DANGLING_COUNT=$(grep -ohP '\[\[([^\]]+)\]\]' "$NOTES_DIR"/*.md 2>/dev/null | sort -u | while read -r link; do
NAME=$(echo "$link" | sed 's/\[\[//;s/\]\]//')
[[ ! -f "$NOTES_DIR/$NAME.md" ]] && echo "$NAME"
done | wc -l | tr -d ' ')
# Schema compliance (% of notes with required fields: description, topics)
MISSING_DESC=$(grep -rL '^description:' "$NOTES_DIR"/*.md 2>/dev/null | wc -l | tr -d ' ')
MISSING_TOPICS=$(grep -rL '^topics:' "$NOTES_DIR"/*.md 2>/dev/null | wc -l | tr -d ' ')
SCHEMA_ISSUES=$((MISSING_DESC + MISSING_TOPICS))
if [[ "$TOTAL_FILES" -gt 0 ]]; then
# Notes with BOTH required fields
COMPLIANT=$((TOTAL_FILES - MISSING_DESC))
COMPLIANCE=$(echo "scale=0; $COMPLIANT * 100 / $TOTAL_FILES" | bc)
else
COMPLIANCE="N/A"
fi
# MOC coverage
COVERED=0
for f in "$NOTES_DIR"/*.md; do
NAME=$(basename "$f" .md)
grep -q '^type: moc' "$f" 2>/dev/null && continue
if grep -rl '^type: moc' "$NOTES_DIR"/*.md 2>/dev/null | xargs grep -l "\[\[$NAME\]\]" >/dev/null 2>&1; then
COVERED=$((COVERED + 1))
fi
done
if [[ "$NOTE_COUNT" -gt 0 ]]; then
COVERAGE=$(echo "scale=0; $COVERED * 100 / $NOTE_COUNT" | bc)
else
COVERAGE="N/A"
fi
```
### 1c. Pipeline Metrics
```bash
# Inbox items
INBOX_COUNT=$(find {vocabulary.inbox}/ -name "*.md" 2>/dev/null | wc -l | tr -d ' ')
# Queue pending (check both YAML and JSON formats)
QUEUE_FILE=""
if [[ -f "ops/queue/queue.yaml" ]]; then
QUEUE_FILE="ops/queue/queue.yaml"
QUEUE_PENDING=$(grep -c 'status: pending' "$QUEUE_FILE" 2>/dev/null || echo 0)
QUEUE_DONE=$(grep -c 'status: done' "$QUEUE_FILE" 2>/dev/null || echo 0)
elif [[ -f "ops/queue/queue.json" ]]; then
QUEUE_FILE="ops/queue/queue.json"
QUEUE_PENDING=$(grep -c '"status": "pending"' "$QUEUE_FILE" 2>/dev/null || echo 0)
QUEUE_DONE=$(grep -c '"status": "done"' "$QUEUE_FILE" 2>/dev/null || echo 0)
else
QUEUE_PENDING=0
QUEUE_DONE=0
fi
# Processed ratio (notes vs inbox)
TOTAL_CONTENT=$((NOTE_COUNT + INBOX_COUNT))
if [[ "$TOTAL_CONTENT" -gt 0 ]]; then
PROCESSED_PCT=$(echo "scale=0; $NOTE_COUNT * 100 / $TOTAL_CONTENT" | bc)
else
PROCESSED_PCT="N/A"
fi
```
### 1d. Growth Metrics
```bash
# This week's growth (notes with created: date within last 7 days)
WEEK_AGO=$(date -v-7d +%Y-%m-%d 2>/dev/null || date -d '7 days ago' +%Y-%m-%d 2>/dev/null)
if [[ -n "$WEEK_AGO" ]]; then
THIS_WEEK_NOTES=$(grep -rl "^created: " "$NOTES_DIR"/*.md 2>/dev/null | while read -r f; do
CREATED=$(grep '^created:' "$f" | head -1 | awk '{print $2}')
[[ "$CREATED" > "$WEEK_AGO" || "$CREATED" == "$WEEK_AGO" ]] && echo "$f"
done | wc -l | tr -d ' ')
else
THIS_WEEK_NOTES="?"
fi
# This week's connections (approximate — count links in recently created notes)
if [[ "$THIS_WEEK_NOTES" -gt 0 && -n "$WEEK_AGO" ]]; then
THIS_WEEK_LINKS=$(grep -rl "^created: " "$NOTES_DIR"/*.md 2>/dev/null | while read -r f; do
CREATED=$(grep '^created:' "$f" | head -1 | awk '{print $2}')
[[ "$CREATED" > "$WEEK_AGO" || "$CREATED" == "$WEEK_AGO" ]Add a new knowledge domain to your existing system. Derives domain-specific configuration through conversation, generates domain folders, templates, and vocabulary while preserving and connecting to your existing architecture.
Research-backed evolution advice for your knowledge system. Analyzes health reports, friction patterns, and derivation history to propose specific changes with research justification. Never auto-implements — proposals require your approval.
Query the bundled research knowledge graph for methodology guidance. Routes questions through a 3-tier knowledge base — WHY (research claims), HOW (guidance docs), WHAT IT LOOKS LIKE (domain examples) — plus structured reference documents. Returns research-backed answers grounded in specific claims with practical application to the user's system. Triggers on "/ask", "/ask [question]", "why does my system...", "how should I...".
Interactive knowledge graph analysis. Routes natural language questions to graph scripts, interprets results in domain vocabulary, and suggests concrete actions. Triggers on "/graph", "/graph health", "/graph triangles", "find synthesis opportunities", "graph analysis".
Run condition-based vault health diagnostics. 8 categories — schema compliance, orphan detection, link health, description quality, three-space boundaries, processing throughput, stale notes, MOC coherence. 3 modes — quick (schema+orphans+links), full (all 8), three-space (boundary violations only). Returns actionable FAIL/WARN/PASS report with specific fixes ranked by impact. Triggers on "/health", "check vault health", "maintenance report", "what needs fixing".
Contextual guidance and command discovery. Three modes — narrative (first-time), contextual (mid-task), compact (quick reference). Shows available commands, active skills, and intelligent suggestions based on vault state. Triggers on "/help", "what can I do", "show commands", "how does this work".
Proactive methodology guidance agent. Monitors note creation and provides real-time quality advice. Suggests connections, flags quality issues, recommends MOC updates. Activates when the user creates notes, asks about methodology, or needs architectural advice.
Research a topic and grow your knowledge graph. Uses Exa deep researcher, web search, or basic search to investigate topics, files results with full provenance, and chains to processing pipeline. Triggers on "/learn", "/learn [topic]", "research this", "find out about".