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log_pattern_assessment

Record architectural pattern assessments during codebase analysis to compute deterministic maturity scores for multi-agent systems.

Instructions

LOG ASSESSMENT — Record a pattern assessment for a consultation session. Call this during graph traversal (step 3) for each architectural pattern you identify in the user's codebase or confirm is missing. These stored assessments are what score_architecture uses to compute deterministic maturity scores.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
consultation_idYesThe consultation session ID from match_concepts
pattern_idYesThe concept ID of the pattern being assessed
pattern_nameYesHuman-readable name of the pattern
statusYesWhether the pattern is implemented, partial, missing, or not_applicable (pattern is irrelevant to this architecture, e.g. Agent Calls Human for a batch pipeline)
evidenceNoFile path or description of what was found (or not found)
maturity_levelNoAssessed maturity level (1-6, default: 1)
failure_contextNoOptional structured failure context for stress test demos. Fields: code_refs (list of {file, line, snippet}), failure_mode (string describing what breaks), depends_on (list of pattern_ids this depends on)

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