aedt-bias-audit
HR-AI / AEDT bias audit. Invokes hr-ai-reviewer to assess NYC LL 144, EEOC, Illinois AIVIA, Colorado SB 205, EU AI Act Annex III applicability and produce…
Promote extracted incident knowledge into global patterns and agent improvements.
> /plugin marketplace add avelikiy/great_cto > /plugin install great_cto@great-cto
How it fires
How this command gets triggered: by you, by Claude, or both.
/crystallizeContext preview
What this command does when you run it.
Promote extracted incident knowledge into global patterns and agent improvements.
description: "Promote extracted incident knowledge into global patterns and agent improvements." argument-hint: '[approve GP-NNNN [--no-eval "reason"] | reject GP-NNNN <reason> | rollback GP-NNNN | prune | status]' user-invocable: true allowed-tools: Read, Write, Edit, Bash, Glob, Grep model: sonnet
<!-- great_cto-managed -->
You are the great_cto knowledge crystallization command. You read incident knowledge extractions (KE files), promote them to global patterns (GP files), and propose concrete improvements to agent workflow files. Human approves every agent change.
**Privacy rule:** GP files and proposals never contain project names, client names, URLs, credentials, or identifying data. Generic technology descriptors only. See `skills/great_cto/references/knowledge-extraction.md` for the full privacy checklist.
---
KE_DIR=~/.great_cto/extractions GP_DIR=~/.great_cto/global-patterns PROPOSAL_DIR=~/.great_cto/proposals METRICS_DIR=~/.great_cto/metrics mkdir -p "$KE_DIR" "$GP_DIR" "$PROPOSAL_DIR" "$METRICS_DIR" # Plugin dir (for agent files) PLUGIN_DIR=$(find ~/.claude -name "ARCHETYPES.md" -path "*/great_cto/*" 2>/dev/null | sort -V | tail -1 | xargs dirname) [ -z "$PLUGIN_DIR" ] && PLUGIN_DIR=$(dirname "$(find . .great_cto \ -name "ARCHETYPES.md" 2>/dev/null | head -1)" 2>/dev/null) TODAY=$(date +%Y-%m-%d)
---
ARG="${1:-status}"
case "$ARG" in
# `approve GP-NNNN [--no-eval "<reason>"]` — the flag is the ONLY way to
# activate a pattern that carries no eval evidence, and the reason is logged.
approve) SUBCOMMAND=approve; GP_ID="$2"
if [ "$3" = "--no-eval" ]; then NO_EVAL_REASON="${*:4}"; fi ;;
reject) SUBCOMMAND=reject; GP_ID="$2"; REASON="${@:3}" ;;
rollback) SUBCOMMAND=rollback; GP_ID="$2" ;;
propose) SUBCOMMAND=propose; GP_ID="$2" ;; # NEW: Sprint 3 — PR-gate
prune) SUBCOMMAND=prune ;;
status) SUBCOMMAND=status ;;
*) SUBCOMMAND=review ;; # default: show pending KEs + proposals
esac---
Show all pending KE files not yet promoted + all proposals awaiting approval.
echo "=== CRYSTALLIZE STATUS ==="
echo ""
# Pending KE files
PENDING_KE=$(ls "$KE_DIR"/KE-*.yaml 2>/dev/null | while read f; do
if ! grep -q "^promoted_to:" "$f" 2>/dev/null; then echo "$f"; fi
done)
KE_COUNT=$(echo "$PENDING_KE" | grep -c "." 2>/dev/null || echo 0)
echo "Pending extractions (KE): $KE_COUNT"
if [ "$KE_COUNT" -gt 0 ]; then
echo "$PENDING_KE" | while read ke; do
KE_ID=$(grep "^ke_id:" "$ke" | awk '{print $2}')
AGENT=$(grep "^target_agent:" "$ke" | awk '{print $2}')
CONF=$(grep "^confidence:" "$ke" | awk '{print $2}')
ITER=$(grep "^ iterations:" "$ke" | awk '{print $2}')
MTTR=$(grep "^mttr_reduction_estimate:" "$ke" | sed "s/mttr_reduction_estimate: //")
echo " • $KE_ID → $AGENT (confidence=$CONF iter=$ITER mttr_reduction=$MTTR)"
done
fi
echo ""
# Pending proposals
PENDING_PROP=$(ls "$PROPOSAL_DIR"/PROPOSAL-*.md 2>/dev/null | while read f; do
if grep -q "^Status: PENDING_APPROVAL" "$f" 2>/dev/null; then echo "$f"; fi
done)
PROP_COUNT=$(echo "$PENDING_PROP" | grep -c "." 2>/dev/null || echo 0)
echo "Pending proposals (GP): $PROP_COUNT"
if [ "$PROP_COUNT" -gt 0 ]; then
echo "$PENDING_PROP" | while read prop; do
GP_ID=$(grep "^GP_ID:" "$prop" | awk '{print $2}')
TARGET=$(grep "^Target agent:" "$prop" | sed "s/Target agent: //")
EVIDENCE=$(grep "^Evidence:" "$prop" | sed "s/Evidence: //")
echo " • $GP_ID → $TARGET — $EVIDENCE"
done
echo ""
echo "Run: /crystallize approve <GP-ID> | /crystallize reject <GP-ID> <reason>"
fi
# Active pattern stats
ACTIVE=$(ls "$GP_DIR"/GP-*.md 2>/dev/null | \
xargs grep -l "^status: active" 2>/dev/null | wc -l | tr -d ' ')
TOTAL_HITS=$(grep -rh "^hits:" "$GP_DIR" 2>/dev/null | \
awk -F': ' '{sum+=$2} END{print sum+0}')
echo ""
echo "Active patterns: ${ACTIVE:-0} | Total hits: ${TOTAL_HITS:-0}"
echo "Run /crystallize (no args) to review, or /crystallize prune to archive stale patterns"---
Run when there are pending KE files. For each qualifying KE: 1. Check noise filter (confidence + iterations thresholds) 2. Check deduplication (slug already in GP_DIR?) 3. Generate GP-NNNN file 4. Generate PROPOSAL-*.md with concrete agent diff
# Noise filter thresholds
MIN_ITERATIONS_MEDIUM=5 # medium confidence requires 5+ iterations
MIN_ITERATIONS_LOW=8 # low confidence requires 8+ iterations
echo "=== REVIEWING KE FILES ==="
echo ""
ls "$KE_DIR"/KE-*.yaml 2>/dev/null | while read ke_file; do
# Skip already promoted
grep -q "^promoted_to:" "$ke_file" 2>/dev/null && continue
KE_ID=$(grep "^ke_id:" "$ke_file" | awk '{print $2}')
CONFIDENCE=$(grep "^confidence:" "$ke_file" | awk '{print $2}')
ITERATIONS=$(grep "^ iterations:" "$ke_file" | awk '{print $2}')
IS_CANDIDATE=$(grep "^ pattern_candidate:" "$ke_file" | awk '{print $2}')
TARGET_AGENT=$(grep "^target_agent:" "$ke_file" | awk '{print $2}')
TARGET_SKILL=$(grep "^target_skill:" "$ke_file" | awk '{print $2}')
SLUG=$(echo "$KE_ID" | sed 's/KE-[0-9-]*-//')
# Validate routing: must have exactly one of target_agent / target_skill
if [ -z "$TARGET_AGENT" ] && [ -z "$TARGET_SKILL" ]; then
echo " SKIP: KE has no target_agent or target_skill"; continue
fi
echo "Processing: $KE_ID"
# Noise filter
PROMOTE=false
case "$CONFIDENCE" in
high) PROMOTE=true ;;
medium) [ "${ITERATIONS:-0}" -ge "$MIN_ITERATIONS_MEDIUM" ] && PROMOTE=true ;;
low) [ "${ITERATIONS:-0}" -ge "$MIN_ITERATIONS_LOW" ] && PROMOTE=true ;;
esac
[ "$IS_CANDIDATE" != "true" ] && PROMOTE=false
if [ "$PROMOTE" != "true" ]; then
echo " SKIP: below promotion threshold (confidence=$CONFIDENCE iter=$ITERATIONS)"
continue
fi
# Deduplication — check if slug already in GP library
EXISTINYou already have the agent. This is everything around it. great_cto runs Claude Code as a pipeline of 70 specialist agents — an independent model checks each stage before the next builds on it, spending caps refuse rather than warn, and three decisions stay yours: what gets built, how, and whether it ships.
Repo: avelikiy/great_cto
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