# Interaction Awareness — Developer Reference Claude Code plugin for AI interaction pattern awareness. ## Architecture Four layers, each building on the previous: - **Layer 1** (`skills/`) — SKILL.md behavioral overrides. Always active. - **Layer 2** (`hooks/scripts/`) — Programmatic detection via 4 hook events. Node.js (`.mjs`), cross-platform. Writes JSONL metadata to `${CLAUDE_PLUGIN_DATA}`. - **Layer 3** (`commands/`) — User-triggered reports from Layer 2 data. Opt-in. - **Layer 4** (`commands/interaction-report.md` Step 9) — Contemplative references. Opt-in. ## Key files | File | Purpose | |------|---------| | `hooks/scripts/lib.mjs` | Shared library: stdin, paths, thresholds, state, cooldowns, layer guards, DOMAIN_STAKES, readRecentEndRecords | | `hooks/scripts/session-start.mjs` | SessionStart: register session, count daily, night check | | `hooks/scripts/prompt-analyzer.mjs` | UserPromptSubmit: pattern flags (NEVER logs prompt text) | | `hooks/scripts/tool-tracker.mjs` | PostToolUse: events, edit ratio, burst, alerts | | `hooks/scripts/session-end.mjs` | SessionEnd: finalize JSONL, cleanup state | | `hooks/hooks.json` | Hook event registration (4 events) | | `skills/ai-psychosis/SKILL.md` | Layer 1 behavioral instructions | | `commands/interaction-report.md` | Layer 3 slash command: `/interaction-report [weekly\|monthly\|all]` | | `hooks/scripts/report-reader.mjs` | Layer 3 helper: reads sessions.jsonl with v1.0.0 backward compat | Legacy bash scripts were removed in v1.0 (available in git history). ## Data storage ``` ${CLAUDE_PLUGIN_DATA}/ ├── sessions.jsonl Compact JSONL, one record per session ├── events.jsonl {ts, session_id, tool_name} per tool call └── state/ └── {session_id}.json Live state during active session ``` State files are created at SessionStart and deleted at SessionEnd. ## Hard constraints - **Cross-platform** — Node.js only, no bash/jq dependency - **Privacy** — prompt text NEVER written to disk. Boolean flags only. - **Performance** — hooks must complete in <100ms - **Non-blocking** — never exit 2, never require confirmation - **No network** — everything local - **Zero npm dependencies** — Node.js stdlib only (fs, path, os) ## Layer configuration Global config at `~/.claude/ai-psychosis.local.md`, or per-project override at `/.claude/ai-psychosis.local.md`: ```yaml --- layer2: true # default on layer3: false # default off layer4: false # default off --- ``` `requireLayer(N)` in lib.mjs exits with `{"continue": true}` if layer N is disabled. ## Testing Automated test suite using `node:test` (258 cases, zero npm dependencies): ```bash node --test tests/*.test.mjs ``` | File | Cases | Coverage | |------|-------|----------| | `tests/session-start.test.mjs` | 11 | State init, JSONL, tier-2 cross-session alert | | `tests/prompt-analyzer.test.mjs` | 100 | All v1.x patterns × 2 + thresholds + valence + v1.2 pushback contract | | `tests/tool-tracker.test.mjs` | 8 | Counting, burst, reminders | | `tests/session-end.test.mjs` | 7 | Finalize, duration, flags, v1.1.0 string + v1.2 array shapes | | `tests/privacy.test.mjs` | 7 | Canary + matched-phrase × original + 5 v1.2 detector variants | | `tests/skill-md.test.mjs` | 3 | Constitution citation + Score 5 + 11 guidance criteria | | `tests/perf.test.mjs` | 9 | 4 hooks × 2 modes + 1000-record sessions.jsonl wall-clock | | `tests/interaction-report.test.mjs` | 6 | report-reader.mjs v1.0/v1.1/v1.2 + SC-12 stdout assertions | | `tests/lib.test.mjs` | 17 | Threshold constants + DOMAIN_STAKES + readRecentEndRecords | | `tests/domain-detection.test.mjs` | 39 | 8 new domains × positive + adjacent-domain negatives + multi-domain | | `tests/user-info.test.mjs` | 24 | yes_people/yes_digital/no priority + sticky + tier-1 alert | | `tests/validation-seeking.test.mjs` | 20 | valseek detection + accumulation + domain-gated alert | | `tests/stakes-matrix.test.mjs` | 7 | Stakes weighting on v1.2 alerts; v1.1.0 sensitivity preserved | ## Conventions - Conventional Commits: `type(scope): description` - English for all code, comments, and documentation - Norwegian for project-internal communication