Assessment-lens grouping: Harness / Guardrail / Attack vector (0.22.0) - #26
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Make AutonomyProof present as a structured security assessment, not a flat rule list. - rules/categories.py: central rule_id -> lens mapping (Harness gap / Guardrail gap / Attack vector) for all 40 rules; enforced complete + valid by tests. - Rule.category property; Finding gains a category field (set in make_finding / make_project_finding). - ScanResult.category_counts(); JSON report adds assessmentCounts + per-finding category; HTML report shows a per-lens breakdown; 'rules list' groups by lens and 'rules explain' prints the lens. Presentation only — no detection behavior changes (corpus unchanged). 642 tests, 100% branch coverage, ruff + ruff format + mypy all clean. Bumps 0.21.0 -> 0.22.0. Signed-off-by: AutonomyProof <info@autonomyproof.io>
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Makes AutonomyProof present as a structured security assessment. Every rule + finding is tagged Harness gap / Guardrail gap / Attack vector; rules list groups by lens, JSON/HTML reports show per-lens breakdown.
Presentation only — no detection change. 642 tests, 100% coverage. Bumps 0.21.0 -> 0.22.0.