reflectlisted

# Reflect — Human AI-Usage Self-Assessment This skill is for **you** (the human) to reflect on how well you're leveraging AI as a thought amplifier — not a review of agent performance. **Data source**: The `reflect` hook (session-end) automatically collects observations, analyzes patterns, and updates `metrics.json`. This skill consumes that hook-produced data to produce a human-readable self-assessment. ``` Hook (auto) Skill (on-demand /reflect) ───────────── ────────────────────────── observe → obs/*.jsonl ──→ epic reflect --context 30 evolve → metrics.json ──→ 5-dimension scorecard seed → evolved skills ──→ Action items for the human ingest → memory graph ──→ Trend analysis ``` ## Iron Law No score without evidence. Every rating must directly cite at least one of: obs stats, evolution patterns, memory nodes, or session summaries. Block self-serving bias: "doing well" conclusions require concrete metrics. ## Process ### Step 0 — Collect Context ```bash # Uses Rust subcommand — works on all platforms (Linux, macOS, Windows) epic reflect --context 30 > /tmp/reflect_ctx.json ``` Fallback if subcommand fails: ```bash echo "obs_files: $(ls "$HARNESS_DIR/obs/" | wc -l)" python3 -c "import json; m=json.load(open('$HARNESS_DIR/metrics.json')); print('total_sessions:', m.get('total_sessions',0))" ``` Query memory (if active): ```bash epic mem recall "AI usage patterns decisions metacognition" --limit 8 epic mem list -