Calculate team productivity scorecard
productivity-scoreskillsetup L2★364
hoangsonww/Claude-Code-Agent-Monitor ↗What it does
Calculate productivity scorecard from Agent Monitor with 5 component scoring
Best for
Monthly review of system health and team performance when you want a single 0-100 number with component breakdown and trend comparison.
Inputs
- · Time period: 'today', 'this week', 'last 30 days'
- · Optional: session ID for session-specific metrics
- · Optional: 'compare' for period comparison
Outputs
- · Overall productivity score (0-100 with letter grade A+/A/B+/B/C+/C/D/F)
- · Five component scores (Completion Rate, Token Efficiency, Tool Effectiveness, Velocity, Cost Efficiency) each 0-100
- · Top 3 strengths and top 3 improvement areas with actionable steps
- · Period comparison if available
Requires
- · Agent Monitor API: /api/analytics, /api/sessions, /api/pricing/cost, /api/workflows/{sessionId}
Preconditions
- · Agent Monitor running with at least 7 days of data for meaningful score
- · Pricing rules configured (for cost efficiency component)
- · Sessions must have status field (completed, error, abandoned, active)
Failure modes
- · Low completion rate (< 70%) indicates workflow design issue, not just productivity
- · Cache hit rate only meaningful if cache is actually being used — young systems show 0% as normal
- · Tool effectiveness metric depends on tool classification (some tools always succeed, some always fail)
- · Cost efficiency can be gamed by using cheaper models on complex tasks (metric doesn't account for quality)
Trust signals
- · Five weighted components (20% each): Completion Rate, Token Efficiency, Tool Effectiveness, Velocity, Cost Efficiency
- · Completion rate = completed / (completed + error + abandoned) × 100
- · Cache hit rate = total_cache_read / (total_cache_read + total_input) × 100
- · Letter grade mapping: A+ (95-100), A (90-94), B+ (85-89), B (80-84), C+ (75-79), C (70-74), D (60-69), F (<60)
- · Visual progress bars for each component
- · Actionable improvement areas with specific steps per component