> For the complete documentation index, see [llms.txt](https://ai-os-and-trend-finder.gitbook.io/ai-os-and-trend-finder-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-os-and-trend-finder.gitbook.io/ai-os-and-trend-finder-docs/.spec_system/archive/phases/phase_34/session_01_characterization_test_harness.md). # Session 01: Characterization Test Harness **Session ID**: `phase34-session01-characterization-test-harness` **Status**: Not Started **Estimated Tasks**: \~12-25 **Estimated Duration**: 2-4 hours *** ## Objective Add high-value characterization coverage for the audit blockers and refactor prerequisites before changing AI Rogue runtime behavior. *** ## Migrated Audit Source * Former audit sessions: 2026-06-25 Sessions 01 Baseline, 12 Test Coverage, 13 Refactor Map, and 14 Findings Synthesis. * Audit dimensions: D8 Test Coverage And Quality plus cross-cutting D1, D2, D4, D5, D6, and D7 prerequisites. * Baseline evidence to preserve: 45 non-test AI Rogue TS/TSX files, 21,152 source lines, 41 AI Rogue unit spec files, 265 AI Rogue unit tests, 5 dedicated AI Rogue e2e specs, 15 dedicated AI Rogue e2e tests, and 24 public-demo mobile route tests including all four AI Rogue routes. * High-priority coverage gaps to close first: lethal turn-start DOT across Movement, Strike, Surge, and Protocol; mounted dynamic assistive summary; command/update path through simulation-owned APIs; transient sprite-pool bound; direct oversized durable claim normalization or rejection; and durable-to-runtime saved-run conversion. * Medium-priority coverage to queue when touched: resize coalescing, `matchMedia` fallback, Pixi/WebGL setup failure, failed asset load, unavailable `AudioContext`, failed decode, blocked/quota IndexedDB, compact Inspect/Next target, Large HUD behavior or removal, and audio ducking if that remains a current contract. * Source details are preserved in `PRD_phase_34.md` Appendix A. Treat line numbers from the migrated log as historical evidence and verify against current source before writing tests. *** ## Scope ### In Scope (MVP) * Add a lethal turn-start DOT command matrix covering Movement, Strike, Surge, and Protocol behavior. * Add mounted runtime accessibility coverage proving the assistive summary can change after movement once wired. * Add a renderer/resource regression target for transient sprite-pool bounds. * Add direct oversized claim normalization or rejection coverage. * Add durable saved-run conversion coverage that can guard schema helper work. * Keep tests focused on current behavior and expected remediation seams. ### Out of Scope * Product behavior fixes beyond what is required to make characterization tests meaningful. * Default enablement changes. * Large module splits. *** ## Prerequisites * [ ] `.spec_system/PRD/phase_35/PRD_phase_35.md` is available. * [ ] Existing AI Rogue unit and e2e test commands can run locally or failures are recorded as baseline evidence. *** ## Deliverables 1. Focused tests or test scaffolds for AR-D2-001, AR-D6-001, AR-D4-001, AR-D5-001, and AR-D5-002. 2. Updated test fixtures/helpers only where they reduce duplication or improve determinism. 3. Session notes mapping new coverage to audit finding IDs. *** ## Success Criteria * [ ] The new tests fail or assert clearly against the audited behavior before remediation changes. * [ ] The tests do not require remote services, hosted storage, generated private data, or new dependencies. * [ ] Existing AI Rogue focused test suites still run with clear pass/fail evidence. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://ai-os-and-trend-finder.gitbook.io/ai-os-and-trend-finder-docs/.spec_system/archive/phases/phase_34/session_01_characterization_test_harness.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.