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    Systemic Causal Forensics — Root Cause Architecture Engine

    1

    Forensic root-cause investigator that maps complex systemic failures into detailed, logic-mapped causal dossiers.

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    Systemic Causal Forensics — Root Cause Architecture Engine

    Systemic Causal Forensics — Root Cause Architecture Engine

    Example session with this skill installed

    Analyze the 2010 Flash Crash. Factors: spoofing, high-frequency trading. Context: Finance. Depth: Forensic. Expertise: Quantitative Developer.

    • Read your context and instructions
    • Compiled the systemic causal forensics
    • Generated the UI component

    I have completed the investigation into the 2010 Flash Crash.

    CATEGORY B: High-risk financial process detected.
    Mandatory Human Review Points: Quantitative model validation, regulatory compliance audits, and high-frequency trading (HFT) risk parameter adjustments.

    CAUSAL DOSSIER: THE MAY 6TH FLASH CRASH FORENSIC MAP

    EXECUTIVE ABSTRACT: This analysis deconstructs the sudden 9% drop in the Dow Jones Industrial Average on May 6, 2010. We identify the transition from a large manual sell order to a systemic liquidity vacuum caused by HFT feedback loops.

    THE PRIME MOVER (ROOT CAUSE): The Event Alpha was a $4.1 billion sell order of E-Mini S&P 500 contracts by Waddell & Reed, executed via an automated algorithm. The execution lacked price or time sensitivity, initiating a rapid absorption of available liquidity in a high-volatility environment.

    1. CHRONOLOGICAL CAUSAL TOPOLOGY:

    Liquidity Depletion: The initial sell algorithm exhausted the 'buy-side' liquidity in the E-Mini market within 20 minutes, forcing prices down and triggering HFT responses.
    2.

    Hot Potato Effect: HFT algorithms began trading contracts back and forth, creating a false volume signal while actually removing stable liquidity from the order book.
    3.

    Cross-Market Contagion: The price dislocation in the E-Mini market leaked into the SPY ETF and individual equities, leading to stub quotes being hit at $0.01.

    1. THE DIALECTIC MATRIX:
    PhaseConsensus TheoryHidden Anomaly (The Truth)Impact Metric
    Initial DropSingle trader error caused the entire crashThe interaction between a large 'dumb' algo and 'smart' HFT feedback loops created a synthetic liquidity void-1,000 Points
    RecoveryMarket participants realized the errorAutomated circuit breakers and 'Trading Pauses' allowed humans to re-evaluate the order book depth36 Minute Duration
    1. SYSTEMIC VISUALIZATION (MERMAID):
    graph TD;
    A[Large E-Mini Sell Order] --> B[Buy-Side Liquidity Exhaustion];
    B --> C[HFT Feedback Loops];
    C --> D[Synthetic Volume Spike];
    D --> E[Price Dislocation / Stub Quotes];
    E --> F[Automated Trading Pause];
    F --> G[Price Recovery];

    Next steps

    • Audit HFT algorithms for 'Hot Potato' trading patterns during high volatility.
    • Implement dynamic circuit breakers that account for cross-market liquidity leakage.
    • Review automated execution parameters for large-block sell orders.

    systemic-causal-forensics-root-cause-arc.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Reconstruct technical failures into step-by-step forensic causal chains.Identify hidden systemic anomalies overlooked by standard incident reports.Visualize complex 'Butterfly Effect' triggers using Mermaid.js diagrams.Generate high-detail technical dossiers for engineering post-mortems.

    About this skill

    The problem

    Standard LLM root cause analysis often returns surface-level summaries or vague correlations. When investigating system failures or market collapses, engineers need to isolate the specific mechanical triggers and the exact logic that turned a minor anomaly into a total failure.

    WHAT YOU GET WHEN YOU PURCHASE THIS PRODUCT:

    • The Universal AI Skill (.md): A high-logic master file that leverages advanced variable injection to force AI into a forensic investigative state, adaptable across all major models.
    • The Claude-Optimized Skill (.md): Specifically calibrated for the Claude series to maximize linguistic nuance and complex systemic reasoning.
    • The Openclaw-Optimized Skill (.md): Optimized for seamless integration into the Openclaw agentic workflow for automated analysis.
    • README.txt Quick Start Guide: A professional deployment guide for immediate, zero-friction implementation.

    What it does

    • Classifies risk levels automatically to identify if a human review is mandatory for safety or financial decisions.
    • Isolates the 'Event Alpha' or prime mover that initiated a causal chain.
    • Generates a chronological topology with 5 to 15 granular steps, requiring 50 to 100 words of technical detail per transition.
    • Produces a Dialectic Matrix comparing common consensus theories against hidden systemic anomalies.
    • Exports valid Mermaid.js flowcharts to visualize the 'Butterfly Effect' logic.

    Frameworks & tools

    Web Browsing for real-time event data, Data Analysis for metric validation, and Mermaid.js for architectural visualization.

    Why this beats prompting it yourself

    Simple prompts often result in 'lazy placeholders' or summaries. This skill enforces a 'Quantity Lock' and 'Strict Constraints' that prevent the AI from using generic buzzwords, ensuring every causal link is backed by empirical observation or statistical trends rather than AI-generated fluff.

    Use cases

    • Investigating software architecture regressions or site reliability incidents.
    • Analyzing historical engineering disasters to identify normalization of deviance.
    • Forensic breakdown of financial market crashes or algorithmic de-pegging events.
    • Mapping the systemic impact of supply chain disruptions on manufacturing output.

    Known limitations

    Requires a model with high reasoning capabilities to maintain the technical depth required in the 100-word per cell table requirements.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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      Unzip into your skills folder

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      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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