# [BUG/APPSEC] Spatially Verify Metaprogramming Hallucination Risk in Dev Agent Firewall

[squid-protocol]

🛑 Problem Statement

The DevAgentFirewall establishes Zero-Trust boundaries for autonomous AI agents. Currently, it evaluates hallucination risk by comparing global file averages: checking if global metaprogramming is high while global documentation density is low.

This creates critical blind spots. A file could boast a 15% documentation density—concentrated entirely at the top of the file explaining a standard class—while dangerous reflection/metaprogramming logic at the bottom remains completely undocumented. Conversely, the metaprogramming itself might be perfectly documented, but the rest of the file drags the global density down, falsely locking safe files out of autonomous refactoring.

🎯 Objective

Guarantee that the Dev Agent Firewall only flags an [Autonomous Hallucination Risk] when the metaprogramming logic itself lacks surrounding human-readable context, utilizing spatial intersection to prove proximity.

🛠️ Proposed Implementation

• Spatial Intersection: In prism.py, utilize the taint tracker:
  _correlate_signals(targets=spatial_map["reflection_metaprogramming"], dampeners=spatial_map["doc"], max_distance=10)
• Telemetry Update: Export a new, deterministically proven undocumented_metaprogramming metric from the core extractor.
• Firewall Refactor: Update dev_agent_firewall.py to trigger specifically on this spatially-verified metric rather than global file averages.

✅ Acceptance Criteria

• Metaprogramming blocks properly paired with documentation bypass the firewall guardrails.
• Undocumented reflection triggers a deterministic block, regardless of the file's global documentation density.
• The O(1) intersection executes without degrading ingestion velocity.