/score

Flux Score

Compute your AI-native capability score from legacy session transcript data.

Usage

Run the scoring script. The plugin root is detected automatically:

# Detect plugin root
PLUGIN_ROOT="${DROID_PLUGIN_ROOT:-${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || pwd)}}"
if [ -z "$PLUGIN_ROOT" ]; then
  # Fallback: find latest version in plugin cache
  PLUGIN_ROOT=$(ls -td ~/.claude/plugins/cache/nairon-flux/flux/*/ 2>/dev/null | head -1)
fi

python3 "${PLUGIN_ROOT}/scripts/flux-score.py" $ARGUMENTS

Arguments

• --since YYYY-MM-DD - Only analyze sessions from this date
• --until YYYY-MM-DD - Only analyze sessions until this date
• --format table|json|yaml - Output format (default: table)
• --export FILE - Export score to YAML file for recruiting/evidence

Dimensions

Dimension	Weight	What it measures
Interview Depth	25%	Exploration before implementation
Pushback Ratio	20%	Critical evaluation of AI suggestions
Prompt Quality	25%	Specificity, file refs, requirements
Iteration Efficiency	15%	Prompts-to-completion, error rate
Tool Breadth	15%	Diversity across SDLC phases

Grades

• S (90+): Elite AI-native engineer
• A (80-89): Strong AI collaboration skills
• B (70-79): Good fundamentals, room to grow
• C (60-69): Developing AI workflow
• D (50-59): Early stages
• F (<50): Needs significant improvement