1 agents

six-sigma-psycho-coordinator

six-sigma-psycho-coordinator

Overview

The Six Sigma Psycho Coordinator is an L3 agent operating in the general domain of the Prismatic Platform. This agent represents the apex quality enforcement mechanism within the platform's autonomous agent ecosystem, operating with transcendent authority over all quality-related decisions. The "Psycho Mode" designation reflects the agent's zero-compromise approach to quality enforcement -- it applies Six Sigma statistical process control methodologies with absolute, unrelenting rigor that accepts no deviation from perfection.

Six Sigma, originally developed by Motorola and popularized by General Electric, targets a defect rate of 3.4 per million opportunities (DPMO). The Six Sigma Psycho Coordinator pushes beyond this standard, targeting zero defects per million opportunities across all platform quality domains. This extreme quality posture is aligned with the platform's NO MERCY doctrine, where quality violations receive zero tolerance regardless of context or pressure.

This agent is part of the platform's 434-strong autonomous agent ecosystem, serving as the ultimate quality arbiter within the AIAD agent hierarchy.

Six Sigma Methodology Application

The Six Sigma Psycho Coordinator applies the DMAIC (Define, Measure, Analyze, Improve, Control) cycle to every quality domain in the platform.

PhaseApplicationToolsOutput
DefineIdentify quality requirements per domainQuality Floor Guardian specsQuality charter
MeasureQuantify current quality levelsTelemetry metrics, Credo, DialyzerQuality baseline
AnalyzeRoot cause analysis of defectsStatistical process control, Pareto analysisDefect taxonomy
ImproveImplement corrective actionsAutomated fixes, CASCADE patternsQuality improvements
ControlSustain improvements with monitoringPre-commit hooks, quality gatesControl charts

Quality Domain Coverage

The Six Sigma Psycho Coordinator monitors and enforces quality across all 13 quality domains defined by the platform.

Quality DomainDPMO TargetCurrent DPMOSigma LevelStatus
Dialyzer006+PERFECT
Credo006+PERFECT
Compilation006+PERFECT
DateTime Precision006+PERFECT
Guard Functions006+PERFECT
@impl Coverage006+PERFECT
Memory Safety006+PERFECT
Performance006+PERFECT
Regression Prevention006+PERFECT
Timing Patterns006+PERFECT
TODO Management006+PERFECT
Typespec Coverage006+PERFECT
Unsafe Map Access006+PERFECT

Technical Implementation

The Six Sigma Psycho Coordinator operates as a GenServer process that continuously monitors quality metrics and triggers enforcement actions when deviations are detected.

defmodule PrismaticAgents.SixSigmaPsychoCoordinator do
  @moduledoc """
  L3 Six Sigma Psycho Mode Coordinator.
  Apex quality enforcement with zero-defect targeting.
  """

  use GenServer
  require Logger

  @quality_check_interval_ms :timer.minutes(10)

  @quality_domains [
    :dialyzer, :credo, :compilation, :datetime_precision,
    :guard_functions, :impl_coverage, :memory_safety,
    :performance, :regression_prevention, :timing_patterns,
    :todo_management, :typespec_coverage, :unsafe_map_access
  ]

  defstruct [
    :last_assessment_at,
    :composite_score,
    :domain_scores,
    :violations,
    :enforcement_actions,
    status: :enforcing
  ]

  @spec start_link(keyword()) :: GenServer.on_start()
  def start_link(opts \\ []) do
    GenServer.start_link(__MODULE__, opts, name: __MODULE__)
  end

  @impl true
  def init(_opts) do
    schedule_quality_check()
    {:ok, %__MODULE__{domain_scores: %{}, violations: []}}
  end

  @impl true
  def handle_info(:quality_check, state) do
    {scores, violations} = assess_all_domains()

    composite = calculate_composite_score(scores)
    actions = determine_enforcement_actions(violations)

    :telemetry.execute(
      [:prismatic, :agents, :six_sigma, :assessment],
      %{composite_score: composite, violation_count: length(violations)},
      %{domains_checked: length(@quality_domains)}
    )

    Enum.each(actions, &execute_enforcement_action/1)
    schedule_quality_check()

    {:noreply, %{state |
      last_assessment_at: DateTime.utc_now(),
      composite_score: composite,
      domain_scores: scores,
      violations: violations,
      enforcement_actions: actions
    }}
  end

  defp assess_all_domains do
    @quality_domains
    |> Enum.map(fn domain -> {domain, assess_domain(domain)} end)
    |> Enum.reduce({%{}, []}, fn {domain, result}, {scores, violations} ->
      {Map.put(scores, domain, result.score),
       violations ++ Enum.map(result.violations, &Map.put(&1, :domain, domain))}
    end)
  end

  defp calculate_composite_score(scores) do
    values = Map.values(scores)
    if values == [], do: 100, else: Enum.sum(values) / length(values)
  end
end

Enforcement Escalation Protocol

The Six Sigma Psycho Coordinator implements a strict escalation protocol for quality violations, aligned with the NO MERCY doctrine.

LevelTriggerResponseRecovery
GreenScore 100/100Monitor onlyN/A
YellowScore 98-99Warning + investigation triggerAuto-correction within 1 hour
OrangeScore 95-98Block commits + auto-evolution triggerAgent-assisted repair
RedScore < 95Emergency halt + escalate to SupremeManual intervention required

Statistical Process Control

The agent maintains control charts for each quality domain, tracking both the mean quality level and its variance over time. Process capability indices (Cp and Cpk) are calculated to ensure the quality process remains centered and within specification limits.

MetricFormulaTargetCurrent
Process Capability (Cp)(USL - LSL) / 6s> 2.02.0+
Process Centering (Cpk)min(CPU, CPL)> 2.02.0+
Defects Per Million (DPMO)(Defects / Opportunities) x 1M00
Sigma LevelNORMSINV(1 - DPMO/1M) + 1.56+6+

CASCADE Pattern Detection

The Six Sigma Psycho Coordinator is the originator and enforcer of CASCADE (Comprehensive Automated System for Code and Architecture Defect Elimination) patterns. These are recurring defect patterns that have been identified, classified, and automated for instant detection and removal. CASCADE patterns represent the platform's institutional memory of quality failures -- each pattern was distilled from a real defect that was detected, analyzed, and formalized into an automated detection rule.

CASCADE PatternDescriptionAuto-Fix AvailableInstances Eliminated
Type MismatchTypespec conflicts with runtime behaviorYes245
Dead CodeUnreachable code pathsYes189
Empty CheckRedundant empty collection checksYes156
Timer ReplacementProcess.sleep replaced with proper timingYes78
Nuclear CacheCorrupted build cache requiring full rebuildYes42
Unsafe Map AccessDirect map key access without pattern matchingYes134
Missing @implCallback implementations without @impl annotationYes61

Quality Evolution History

The Six Sigma Psycho Coordinator maintains a detailed history of the platform's quality evolution, tracking how quality scores have improved from initial baselines to the current perfect state. This history serves as both a validation of the quality enforcement methodology and a reference for identifying quality regression patterns.

MilestoneDateQuality ScoreQDP CountSigma LevelKey Achievement
Baseline2025-0742/1009052.5Initial measurement
Gen 82025-0965/1005203.8CASCADE detection deployed
Gen 122025-1182/1001804.5Auto-fix pipeline active
Gen 152026-0195/100355.5Near-zero defect state
Gen 182026-02100/10006+Perfect score achieved

Quality Control Chart Methodology

The Six Sigma Psycho Coordinator applies Shewhart control chart methodology to monitor quality domain stability. Each quality domain has Upper Control Limits (UCL) and Lower Control Limits (LCL) calculated from historical performance data. Points outside these limits trigger immediate investigation, while trends approaching the limits trigger preventive action.

defmodule PrismaticAgents.SixSigmaPsychoCoordinator.ControlChart do
  @moduledoc """
  Shewhart control chart implementation for quality domain monitoring.
  Detects out-of-control conditions and trend patterns.
  """

  @spec evaluate_control_status(list(number()), map()) :: :in_control | {:out_of_control, atom()}
  def evaluate_control_status(data_points, limits) do
    latest = List.last(data_points)
    recent = Enum.take(data_points, -7)

    cond do
      latest > limits.ucl -> {:out_of_control, :above_ucl}
      latest < limits.lcl -> {:out_of_control, :below_lcl}
      trending_up?(recent, limits) -> {:out_of_control, :trend_up}
      trending_down?(recent, limits) -> {:out_of_control, :trend_down}
      run_detected?(recent, limits.mean) -> {:out_of_control, :run}
      true -> :in_control
    end
  end

  defp trending_up?(points, _limits) do
    points
    |> Enum.chunk_every(2, 1, :discard)
    |> Enum.all?(fn [a, b] -> b > a end)
    |> Kernel.and(length(points) >= 6)
  end

  defp trending_down?(points, _limits) do
    points
    |> Enum.chunk_every(2, 1, :discard)
    |> Enum.all?(fn [a, b] -> b < a end)
    |> Kernel.and(length(points) >= 6)
  end

  defp run_detected?(points, mean) do
    all_above = Enum.all?(points, fn p -> p > mean end)
    all_below = Enum.all?(points, fn p -> p < mean end)
    (all_above or all_below) and length(points) >= 7
  end
end

Integration Points

AIAD Specification Compliance

AIAD ComponentStatus
Agent specification fileCompliant
Behavioral rules20 rules defined
Telemetry integrationFull coverage
NM/ND doctrine enforcementMAXIMUM
SEADF integrationRegistered
Property-based testing65 properties verified

Authority Level

L3 - Strategic Command - Multi-domain coordination with supreme authority over all quality enforcement decisions.


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Created by Tomáš Korcak (korczis) | Open Source under GHL