Skill Stats

Analyze skill ecosystem health, thread usage, and GF(3) conservation.

Quick Commands

# Count skills
ls ~/.claude/skills/*/SKILL.md | wc -l

# Trit distribution
grep -h "^trit:" ~/.claude/skills/*/SKILL.md | sort | uniq -c

# Skills with probes
grep -l "^probe:" ~/.claude/skills/*/SKILL.md | wc -l

# Recently modified
ls -lt ~/.claude/skills/*/SKILL.md | head -20

GF(3) Conservation Check

# Calculate global trit sum
grep -h "^trit:" ~/.claude/skills/*/SKILL.md | \
  awk '{sum += $2} END {print "GF(3) Sum:", sum}'

Target: Sum should be 0 (or divisible by 3).

Thread-Skill Usage Analysis

Use

find_thread

find_thread query="skill after:7d" limit=20

Then extract skill mentions from thread summaries.

Probe Verification

Run all skill probes:

for skill in ~/.claude/skills/*/SKILL.md; do
  name=$(dirname $skill | xargs basename)
  probe=$(grep "^probe:" $skill | sed 's/^probe: *//')
  if [ -n "$probe" ]; then
    echo "Probing: $name"
    eval "$probe" 2>&1 | head -3
  fi
done

Dashboard Generation

bb ~/ies/scripts/asi_skill_selector.bb list > skill_inventory.txt

Integration with DuckDB

-- Load skill metadata into DuckDB
CREATE TABLE skill_stats AS
SELECT 
  skill_name,
  trit,
  has_probe,
  last_modified,
  usage_count
FROM read_json('skill_metadata.json');

-- GF(3) balance check
SELECT SUM(trit) as global_balance FROM skill_stats;

-- Most used skills
SELECT skill_name, usage_count 
FROM skill_stats 
ORDER BY usage_count DESC 
LIMIT 20;

Key Metrics

ls ~/.claude/skills/*/SKILL.md | wc -l

grep -l "^trit:" ~/.claude/skills/*/SKILL.md | wc -l

grep -l "^probe:" ~/.claude/skills/*/SKILL.md | wc -l

grep -h "^trit: -1" ~/.claude/skills/*/SKILL.md | wc -l

grep -h "^trit: 0" ~/.claude/skills/*/SKILL.md | wc -l

grep -h "^trit: 1" ~/.claude/skills/*/SKILL.md | wc -l

Skill Health Score

Health = (skills_with_trit / total) × (skills_with_probe / total) × (1 - |gf3_sum| / total)

Target: Health > 0.8

Related Skills

• triadic-skill-orchestrator

  (0) - Dispatch balanced triplets

• asi-skill-selector

  (0) - CLI for skill selection

• bisimulation-game

  (-1) - Skill dispersal verification

• autopoiesis

  (0) - Self-modification tracking

Autopoietic Marginalia

The interaction IS the skill improving itself.

Every use of this skill is an opportunity for worlding:

• MEMORY (-1): Record what was learned
• REMEMBERING (0): Connect patterns to other skills
• WORLDING (+1): Evolve the skill based on use

Add Interaction Exemplars here as the skill is used.