From bb50188e6365254f8ce14fa32925276d0d7ab25f Mon Sep 17 00:00:00 2001
From: Rodin <rodin@foredthought.ai>
Date: Sun, 10 May 2026 17:28:54 -0700
Subject: [PATCH] Add Finding #30: Boundary violation analysis on context
 README

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+# Boundary Violation Risk Analysis on Context-Level README
+
+**Date:** 2026-05-10
+**Document:** gargoyle Risk context README (149 lines)
+**Task Type:** Boundary violation risk identification
+**Status:** Partial experiment (heavy models timed out)
+
+## Experiment Design
+
+First experiment targeting a bounded context README rather than a mechanism specification.
+The analytical lens (boundary violations) matches the document type (architecture/boundaries).
+
+### Prompt Categories
+1. Anti-corruption layer gaps
+2. Event contract underspecification
+3. Service responsibility creep
+4. Invariant enforcement gaps
+5. Temporal coupling risks
+
+### Models Tested
+| Model | Time | Output tokens | Status |
+|---|---|---|---|
+| Claude Sonnet 4.6 | 19s | 1,302 | Complete |
+| Claude Opus | - | - | TIMEOUT (300s) |
+| GPT-5 | - | - | TIMEOUT (300s) |
+
+## Results (Sonnet)
+
+12 findings across 5 categories:
+
+### Critical Severity (2)
+- **LotClosed for PDT counting:** No definition of "same day" across time zones, no partial close handling
+- **Kill Switch monotonicity:** No mechanism to prevent concurrent escalation level updates
+
+### High Severity (8)
+- Tick event translation rules missing (symbol mapping, price normalization)
+- FillReceived currency/lot identification mapping undefined
+- KillSwitchEngaged/Disengaged idempotency semantics missing
+- Liquidation Sizing requires wash sale/liquidity data not provided via events
+- Portfolio Evaluation requires correlation data not provided via events
+- PDT Counting concurrent update atomicity undefined
+- Continuous Monitoring/MarketOpened sequencing unspecified
+- Portfolio Evaluation price staleness tolerance unspecified
+
+### Medium Severity (2)
+- MarketDataStale/Fresh staleness threshold undefined
+- Kill switch disengage race between automatic and manual
+
+## Key Insights
+
+### Context-level analysis is different from spec-level
+Findings are about RELATIONSHIPS (how contexts communicate) rather than MECHANISMS
+(how components work internally). Several findings identify where the README CLAIMS
+a service has responsibilities but doesn't document the DATA FLOW enabling them.
+
+### Document type shapes finding character
+Spec-level experiments find implementation gaps (ETS ownership, race conditions).
+Context-level experiments find BOUNDARY gaps (event contracts, cross-context timing).
+
+### Sonnet handles context-level analysis well
+With structured prompts (5 categories), Sonnet produces well-organized boundary
+violation analysis in 19s. The feedback loop finding (#12 - pro-forma staleness
+causing immediate escalation) shows genuine architectural reasoning.
+
+## Pending Work
+- Retry Opus and GPT-5 during lower-contention period
+- Compare whether heavy models find different boundary risks
+- Hypothesis: Opus may excel here (boundary/tension reasoning is its strength)
+
+## Practical Implication
+For context-level architecture review, Sonnet is sufficient for first-pass
+boundary violation scanning. Structured prompts keep analysis focused.
+Worth running Opus as second pass for design-tension identification.