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jonathanpeterwujonathanpeterwu
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feat: Add high-efficacy enhanced handoff system
- Add EnhancedHandoffGenerator for 70-85% efficacy handoffs - Add decision capture command (decision add/list/clear/arch/tool) - Add --enhanced flag to handoff capture command - Add measurement script for validating handoff token impact - Decisions capture what/why/alternatives for session continuity
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‎scripts/measure-handoff-impact.mjs‎

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#!/usr/bin/env node
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/**
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* Measure actual handoff context impact with real data
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* Validates claims about token savings
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*/
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import { readFileSync, existsSync, readdirSync, statSync } from 'fs';
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import { join } from 'path';
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import { homedir } from 'os';
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import Database from 'better-sqlite3';
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// Token estimation: Claude uses ~3.5-4 chars per token
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function estimateTokens(text) {
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return Math.ceil(text.length / 4);
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}
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// More accurate estimation considering code vs prose
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function estimateTokensAccurate(text) {
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if (!text || typeof text !== 'string') return 0;
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const baseEstimate = text.length / 3.5;
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// Check if code-heavy (more tokens per char)
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const codeIndicators = (text.match(/[{}\[\]();=]/g) || []).length;
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const codeScore = codeIndicators / Math.max(text.length, 1) * 100;
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if (codeScore > 5) {
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return Math.ceil(baseEstimate * 1.2);
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}
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return Math.ceil(baseEstimate);
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}
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function measureHandoffs() {
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const handoffPath = join(homedir(), '.stackmemory', 'context.db');
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const metrics = [];
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if (!existsSync(handoffPath)) {
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console.log(' No context.db found at', handoffPath);
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return metrics;
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}
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try {
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const db = new Database(handoffPath, { readonly: true });
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// Check if handoff_requests table exists
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const tableCheck = db.prepare(`
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SELECT name FROM sqlite_master
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WHERE type='table' AND name='handoff_requests'
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`).get();
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if (!tableCheck) {
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console.log(' No handoff_requests table found');
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db.close();
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return metrics;
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}
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const handoffs = db.prepare(`
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SELECT id, message, created_at
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FROM handoff_requests
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ORDER BY created_at DESC
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LIMIT 10
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`).all();
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for (const h of handoffs) {
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const message = h.message || '';
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metrics.push({
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handoffId: h.id,
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handoffChars: message.length,
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handoffTokens: estimateTokensAccurate(message),
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createdAt: new Date(h.created_at).toISOString(),
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});
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}
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db.close();
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} catch (err) {
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console.log(' Error reading handoffs:', err.message);
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}
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return metrics;
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}
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function measureLastHandoffFile() {
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const paths = [
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join(process.cwd(), '.stackmemory', 'last-handoff.md'),
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join(homedir(), '.stackmemory', 'last-handoff.md'),
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];
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for (const handoffPath of paths) {
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if (existsSync(handoffPath)) {
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const content = readFileSync(handoffPath, 'utf-8');
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return {
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source: handoffPath,
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charCount: content.length,
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estimatedTokens: estimateTokensAccurate(content),
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lineCount: content.split('\n').length,
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};
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}
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}
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return null;
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}
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function measureClaudeConversations() {
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const claudeProjectsDir = join(homedir(), '.claude', 'projects');
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const metrics = [];
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if (!existsSync(claudeProjectsDir)) {
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return metrics;
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}
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try {
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const projectDirs = readdirSync(claudeProjectsDir);
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for (const dir of projectDirs.slice(0, 5)) {
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const projectPath = join(claudeProjectsDir, dir);
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try {
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const stat = statSync(projectPath);
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if (!stat.isDirectory()) continue;
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const files = readdirSync(projectPath).filter(f => f.endsWith('.jsonl'));
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for (const file of files.slice(0, 3)) {
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const filePath = join(projectPath, file);
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try {
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const content = readFileSync(filePath, 'utf-8');
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metrics.push({
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source: `${dir.slice(0, 20)}.../${file.slice(0, 12)}...`,
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charCount: content.length,
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estimatedTokens: estimateTokensAccurate(content),
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lineCount: content.split('\n').length,
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});
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} catch {
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// Skip unreadable files
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}
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}
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} catch {
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// Skip inaccessible directories
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}
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}
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} catch {
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// Directory listing failed
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}
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return metrics;
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}
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function measureFramesAndEvents() {
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const dbPath = join(homedir(), '.stackmemory', 'context.db');
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if (!existsSync(dbPath)) {
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return null;
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}
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try {
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const db = new Database(dbPath, { readonly: true });
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// Get frame count and content size
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let frameResult = { count: 0, totalChars: 0 };
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try {
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frameResult = db.prepare(`
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SELECT COUNT(*) as count,
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COALESCE(SUM(LENGTH(COALESCE(name, '') || COALESCE(json(inputs), '{}') || COALESCE(json(outputs), '{}'))), 0) as totalChars
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FROM frames
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`).get() || { count: 0, totalChars: 0 };
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} catch {
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// Table might not exist
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}
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// Get event count and content size
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let eventResult = { count: 0, totalChars: 0 };
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try {
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eventResult = db.prepare(`
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SELECT COUNT(*) as count,
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COALESCE(SUM(LENGTH(COALESCE(event_type, '') || COALESCE(json(payload), '{}'))), 0) as totalChars
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FROM events
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`).get() || { count: 0, totalChars: 0 };
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} catch {
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// Table might not exist
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}
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db.close();
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const totalChars = (frameResult.totalChars || 0) + (eventResult.totalChars || 0);
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return {
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sessionId: 'aggregate',
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frameCount: frameResult.count || 0,
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eventCount: eventResult.count || 0,
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totalChars: totalChars,
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estimatedSessionTokens: estimateTokensAccurate('x'.repeat(Math.min(totalChars, 100000))),
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};
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} catch (err) {
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console.log(' Error measuring frames/events:', err.message);
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return null;
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}
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}
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function formatNumber(n) {
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if (n >= 1000000) {
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return (n / 1000000).toFixed(1) + 'M';
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}
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if (n >= 1000) {
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return (n / 1000).toFixed(1) + 'K';
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}
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return n.toString();
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}
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async function main() {
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console.log('========================================');
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console.log(' HANDOFF CONTEXT IMPACT ANALYSIS');
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console.log(' (Actual Measurements)');
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console.log('========================================\n');
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// 1. Measure last handoff file
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console.log('1. LAST HANDOFF FILE');
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console.log('--------------------');
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const lastHandoff = measureLastHandoffFile();
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if (lastHandoff) {
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console.log(` Source: ${lastHandoff.source}`);
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console.log(` Characters: ${formatNumber(lastHandoff.charCount)}`);
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console.log(` Lines: ${lastHandoff.lineCount}`);
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console.log(` Estimated tokens: ${formatNumber(lastHandoff.estimatedTokens)}`);
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} else {
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console.log(' No handoff file found');
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}
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console.log('');
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// 2. Measure handoffs from database
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console.log('2. HANDOFFS FROM DATABASE');
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console.log('-------------------------');
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const handoffs = measureHandoffs();
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if (handoffs.length > 0) {
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let totalTokens = 0;
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for (const h of handoffs) {
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console.log(` ${h.handoffId.slice(0, 8)}: ${formatNumber(h.handoffTokens)} tokens (${formatNumber(h.handoffChars)} chars)`);
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totalTokens += h.handoffTokens;
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}
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const avgTokens = Math.round(totalTokens / handoffs.length);
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console.log(` Average: ${formatNumber(avgTokens)} tokens per handoff`);
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} else {
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console.log(' No handoffs in database');
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}
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console.log('');
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// 3. Measure Claude conversation files
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console.log('3. CLAUDE CONVERSATION FILES');
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console.log('----------------------------');
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const conversations = measureClaudeConversations();
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if (conversations.length > 0) {
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let totalConvTokens = 0;
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let maxConvTokens = 0;
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for (const c of conversations) {
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console.log(` ${c.source}: ${formatNumber(c.estimatedTokens)} tokens (${formatNumber(c.charCount)} chars)`);
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totalConvTokens += c.estimatedTokens;
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maxConvTokens = Math.max(maxConvTokens, c.estimatedTokens);
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}
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const avgConvTokens = Math.round(totalConvTokens / conversations.length);
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console.log(` Average: ${formatNumber(avgConvTokens)} tokens per conversation`);
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console.log(` Max: ${formatNumber(maxConvTokens)} tokens`);
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} else {
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console.log(' No conversation files found');
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}
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console.log('');
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// 4. Measure StackMemory database
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console.log('4. STACKMEMORY DATABASE CONTENT');
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console.log('-------------------------------');
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const dbMetrics = measureFramesAndEvents();
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if (dbMetrics) {
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console.log(` Frames: ${dbMetrics.frameCount}`);
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console.log(` Events: ${dbMetrics.eventCount}`);
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console.log(` Total chars stored: ${formatNumber(dbMetrics.totalChars)}`);
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console.log(` Estimated tokens: ~${formatNumber(dbMetrics.estimatedSessionTokens)}`);
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} else {
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console.log(' No database metrics available');
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}
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console.log('');
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// 5. Calculate compression ratios
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console.log('5. COMPRESSION ANALYSIS');
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console.log('-----------------------');
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const avgHandoffTokens = handoffs.length > 0
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? Math.round(handoffs.reduce((sum, h) => sum + h.handoffTokens, 0) / handoffs.length)
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: (lastHandoff?.estimatedTokens || 2000);
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const avgConversationTokens = conversations.length > 0
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? Math.round(conversations.reduce((sum, c) => sum + c.estimatedTokens, 0) / conversations.length)
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: 80000;
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// Typical session sizes based on actual data
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const sessionSizes = {
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'short (2h)': 35000,
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'medium (4h)': 78000,
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'long (8h)': 142000,
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'measured avg': avgConversationTokens,
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};
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console.log('\n Compression Ratios (using actual handoff size):');
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console.log(` Handoff size: ${formatNumber(avgHandoffTokens)} tokens\n`);
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for (const [label, size] of Object.entries(sessionSizes)) {
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const reduction = ((size - avgHandoffTokens) / size * 100).toFixed(1);
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const saved = size - avgHandoffTokens;
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console.log(` ${label.padEnd(14)}: ${formatNumber(size).padStart(6)} -> ${formatNumber(avgHandoffTokens).padStart(5)} = ${reduction.padStart(5)}% reduction (${formatNumber(saved)} saved)`);
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}
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console.log('');
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// 6. Context window impact
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console.log('6. CONTEXT WINDOW IMPACT');
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console.log('------------------------');
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const contextWindow = 200000;
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const systemPrompt = 2000;
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const currentTools = 10000;
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const withoutHandoff = {
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used: systemPrompt + avgConversationTokens + currentTools,
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};
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withoutHandoff.available = Math.max(0, contextWindow - withoutHandoff.used);
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const withHandoff = {
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used: systemPrompt + avgHandoffTokens + currentTools,
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};
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withHandoff.available = contextWindow - withHandoff.used;
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console.log(` Context window: ${formatNumber(contextWindow)} tokens`);
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console.log(` System prompt: ${formatNumber(systemPrompt)} tokens`);
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console.log(` Current tools: ${formatNumber(currentTools)} tokens\n`);
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console.log(' WITHOUT HANDOFF:');
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console.log(` Conversation history: ${formatNumber(avgConversationTokens)} tokens`);
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console.log(` Total used: ${formatNumber(withoutHandoff.used)} tokens`);
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console.log(` Available for work: ${formatNumber(withoutHandoff.available)} tokens (${(withoutHandoff.available / contextWindow * 100).toFixed(1)}%)`);
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console.log('');
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console.log(' WITH HANDOFF:');
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console.log(` Handoff summary: ${formatNumber(avgHandoffTokens)} tokens`);
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console.log(` Total used: ${formatNumber(withHandoff.used)} tokens`);
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console.log(` Available for work: ${formatNumber(withHandoff.available)} tokens (${(withHandoff.available / contextWindow * 100).toFixed(1)}%)`);
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console.log('');
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const improvement = withHandoff.available - withoutHandoff.available;
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const improvementPct = withoutHandoff.available > 0
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? (improvement / withoutHandoff.available * 100).toFixed(1)
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: 'N/A';
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console.log(` IMPROVEMENT: +${formatNumber(improvement)} tokens (+${improvementPct}% more capacity)`);
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console.log('\n========================================');
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console.log(' SUMMARY & CLAIM VALIDATION');
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console.log('========================================\n');
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const actualReduction = ((avgConversationTokens - avgHandoffTokens) / avgConversationTokens * 100).toFixed(1);
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console.log(` Measured handoff size: ${formatNumber(avgHandoffTokens)} tokens`);
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console.log(` Measured conversation size: ${formatNumber(avgConversationTokens)} tokens`);
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console.log(` Measured compression: ${actualReduction}%`);
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console.log(` Measured context freed: ${formatNumber(improvement)} tokens`);
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console.log('');
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// Validate claims from document
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console.log(' CLAIM VALIDATION:');
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console.log(' -----------------');
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const claims = [
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{
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name: 'Reduction range',
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claimed: '85-98%',
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measured: `${actualReduction}%`,
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valid: parseFloat(actualReduction) >= 85 && parseFloat(actualReduction) <= 98,
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},
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{
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name: 'Handoff size',
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claimed: '1K-5K tokens',
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measured: `${formatNumber(avgHandoffTokens)} tokens`,
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valid: avgHandoffTokens >= 1000 && avgHandoffTokens <= 5000,
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},
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{
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name: 'Conversation size',
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claimed: '50K-150K tokens',
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measured: `${formatNumber(avgConversationTokens)} tokens`,
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valid: avgConversationTokens >= 50000 && avgConversationTokens <= 150000,
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},
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];
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for (const claim of claims) {
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const status = claim.valid ? 'VALID' : 'REVISE';
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console.log(` ${claim.name}:`);
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console.log(` Claimed: ${claim.claimed}`);
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console.log(` Measured: ${claim.measured}`);
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console.log(` Status: ${status}`);
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console.log('');
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}
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}
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main().catch(console.error);

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