ModularRSI report verification

Type: agentic-system-analyses/types/agentic-system-verification.md

Verification

The pinned reports support publication of a bounded implementation account. The previous retry blocker is repaired; one local working-context inventory limit remains. I read the supplied members, types, records contract, previous verification and correction answers completely. The structural check reports none. The epistemic answer claims a correction; the other answers are empty. I judged the changed account against source rather than treating that answer or the previous verdict as evidence.

All independent source inspection used SRC-1 from the Source register. HEAD matches the frozen revision, and the checkout is clean. I inspected source text only: no target code, tests, examples, fixtures or provider calls were executed. The findings below concern implementation and identified prompt/design evidence, not observed operation or causal benefit.

Runtime and workflow

I checked every declared record, annotation, source anchor, evidence-status assessment and containment relation for support and scope. The reports declare no supersessions. The broad generation-change route validly contains retained objects and narrower route segments; parts retain their own findings rather than inheriting a stronger status. The identity distinctions in reconciliation are supported: finding envelopes differ from their causal assertions, proposal containers differ from prescription-only parts, and metadata differs from executable code. No duplicate requires an Amendment. Workflow annotates existing referents instead of allocating duplicate records.

The public evolution and evaluation launchers support the distinct invocations in RT-RTE-solver-task, RT-RTE-generation-change and the workflow account. I read SRC-1 scripts/evolve.sh and scripts/evaluate.sh, and checked driver reflection, promotion and confirmation call sites in src/harbor/agents/terminus_2_modular/self_evo/online_evo.py. Evolution changes a later-launch library path within a configured curriculum. Evaluation consumes an explicitly selected tree without that update loop. Tasks already launched need not switch generations.

The baseline loop, tools, verification, task-runner and Harbor verifier anchors support separation of model completion, command effects and task reward. The model's completion signal is not a correctness certificate. Source checks covered SRC-1 src/harbor/agents/terminus_2_modular/modules/agent_loop/baseline.py, src/harbor/agents/terminus_2_modular/modules/tools/baseline.py, src/harbor/agents/terminus_2_modular/modules/verification/baseline.py, src/harbor/agents/terminus_2_modular/self_evo/task_runner.py and src/harbor/verifier/verifier.py. These callers do not establish oracle adequacy for unfrozen tasks or successful execution.

Independent tracing of review and sanity in SRC-1 src/harbor/agents/terminus_2_modular/self_evo/online_evo.py confirms the consequential qualifications in RT-RTE-generation-change and EPI-RTE-review-decision. Timeout/exception returns pass before missing-verdict breaker accounting. Structured rejection can veto. Sanity distinguishes classified code breaks, required activation and unsuccessful task outcomes; it does not gate on reward superiority. Sanity repair can change bytes and repeat smoke/sanity without returning through review/action/niche stages. The retained source passages support these findings. Neither universal reviewer approval nor measured improvement is implied by admission.

I checked brief construction, attempt accounting, classified second implementation, rebase and promotion in SRC-1 src/harbor/agents/terminus_2_modular/self_evo/dual_implement.py and src/harbor/agents/terminus_2_modular/self_evo/two_lane.py. Each editor receives its selected proposal and bounded support, not merged investigator conversations. Preparation failure differs from started work. A classified bad implementation can receive one fresh build from the parent with criticism; a bad proposal does not earn that branch. Rebase checks and best-effort archive synchronization preserve the workflow's delivery boundary without implying transactional rollback or demonstrated benefit.

RT-CMP-lite-llm correctly limits its claims to inference constructors, opaque served weights and unpinned provider versions. RT-OBJ-module-library and RT-BAP-module-execution correctly distinguish Python authority from file-action policy. SRC-1 src/harbor/agents/terminus_2_modular/library.py and src/harbor/agents/terminus_2_modular/self_evo/smoke_tests.py import candidate code before ordinary variant selection. Editor path/lock checks in src/harbor/agents/terminus_2_modular/modules/tools/editor_file_tools.py do not establish a process sandbox.

RT-OBJ-module-description, RT-BAP-description-selection and RT-RTE-bundle-selection retain the separate catalog-text consumer. I checked archive filtering, pins, offered-name validation, helper inclusion and cache schema in SRC-1 src/harbor/agents/terminus_2_modular/composer/llm_dynamic.py and src/harbor/agents/terminus_2_modular/kernel/orchestration.py. Cache/static/forced paths are materially different from ordinary dynamic filtering; instruction-keyed cache validation is not revision binding. Description interpretation is not efficacy evidence.

Memory and epistemic findings

The evidence-body, display and control distinctions in MEM-OBJ-finding-record, MEM-OBJ-proposal-record, MEM-OBJ-proposal-state, MEM-OBJ-implementation-record, MEM-OBJ-archive-entry and MEM-OBJ-editor-memory are supported. Checks covered SRC-1 backlog ingestion and brief construction, plus manifest, portfolio, lease and disposition definitions/consumers under src/harbor/agents/terminus_2_modular/self_evo/. Finding IDs encode step/task/lens/position, not semantic equivalence. Truncated brief displays do not replace full stored finding bodies. Manifest APIs are not inflated into an independently established consumer route.

MEM-RTE-evidence-brief, MEM-RTE-history-contrast, MEM-RTE-progress-resume and MEM-BAP-backlog-control correctly separate proposal reuse, historical-trial reconstruction, resumed summaries and symbolic eligibility. Driver source confirms the historical reward recheck, restored pending summaries and current-record confirmation input. Durable pointers/checkpoints do not guarantee surviving payloads or complete resumed confirmation coverage.

The previous blocker on EPI-RTE-finding-disposition is resolved. I read SRC-1 src/harbor/agents/terminus_2_modular/self_evo/backlog.py in full, the ingestion/selection and comparison branches of src/harbor/agents/terminus_2_modular/self_evo/evidence_pass.py, and snapshot production in src/harbor/agents/terminus_2_modular/self_evo/online_evo.py. Ingestion returns this snapshot's records; the online caller supplies the newly generated snapshot. Retryable status does not schedule resupply of old unattached findings. The corrected read-back, invalidation, owner paragraph, ledger, comparison and bounded conclusion consistently preserve that distinction, while retaining open-proposal reuse. The revised reconciliation no longer carries an obsolete retry disagreement.

EPI-OBJ-trial-summary, EPI-OBJ-contrast-finding, EPI-OBJ-behavioral-delta and EPI-OBJ-routing-judgment separate recorded evidence, causal conjecture, prescription and semantic placement. Extraction and investigator/reviewer prompt anchors in SRC-1 src/harbor/agents/terminus_2_modular/self_evo/trajectory_analysis.py support these distinctions. EPI-RTE-summary-extraction preserves selected input fields conditionally, not authenticated task truth. EPI-RTE-semantic-checks correctly distinguishes ordinary non-YES replies from comparison exceptions. Model judgment supplies neither a reference answer nor causal identification. The review route requests evidence-consuming acceptance for trying an executable strategy, not established acceptance of its causal diagnosis as knowledge.

I checked shared-task arithmetic and thresholding in SRC-1 src/harbor/agents/terminus_2_modular/self_evo/confirm.py for EPI-RTE-paired-confirmation. Reward binarization, skipped missing rewards, equal weighting of shared-task means and strict regression margin are supported. Archive-mediated retirement is a real downstream consumer but not deletion, universal revocation or independent component variation. The theory-condition assessments remain architecture-level findings with actual formulation, semantic dependence and sound criticism uninspected. Reflection and improvement-directed self-change have live source-supported paths; exercised change-dependent operation and benefit remain unestablished. RT-CLM-harness-improvement remains attributed rather than independently reproduced.

For RT-RTE-context-handoff and its memory annotations, source inspection confirms tail unwinding and the installed/released tier-2/3 reset difference. The source diff reports differences, not a runtime test failure. Observation clipping and editor range-read anchors distinguish lossy context from available reload. These local findings do not assert a uniform policy across evolved alternatives or observed summary fidelity.

The remaining unresolved conflict in reconciliation supplies both positions, affected records, evidence and prevented inference. I repeated the named-symbol search over SRC-1 src/ and scripts/ for compact editor-history and journal consumers. MEM-ABS-editor-readback is supported within those roots. SRC-1 src/harbor/agents/terminus_2_modular/self_evo/editor_memory.py implements a formatter, not its invocation. I dismiss the proposed contradiction as a blocker: the boundary's wording can describe that available display capability, and memory explicitly prevents inferring shipped automatic delivery. The parent-recorded outcome use mentioned by confirmation is writing outcomes, not proof of journal consumption. No supported central conclusion depends on journal injection; proposal briefs and archive-mediated retirement have independent consumers. This does not require changing the frozen target or boundary kind.

Omission questions came from the tracked top-level tree, alternate shipped execution/selection paths and producer-consumer dependencies. Could replay bypass retirement? Yes, already qualified. Could stored journals substitute for actual proposal read-back? No consumer was established; the report keeps them separate. Could unresolved comparisons automatically reappear? The corrected account now withholds that consequence. Could secondary efficiency diagnoses become durable updates through the traced function? Direct inspection shows snapshot persistence/routing precedes secondary reassignment and return; memory's qualification stands. Could context supply extend beyond compression/editor reads? Yes: optional solver skill discovery remains the local inventory limit below.

Further optional expansion stopped because these selected questions have supported dispositions, and no identified material challenge remains undisposed. Uninspected individual trials and arbitrary variant bodies prevent complete variant-specific or empirical conclusions, which the reports already withhold. Their mere availability does not require exhaustive inspection to preserve the bounded positive implementation account. No unsearched behavior is treated as evidenced absence.

Blockers

none

Limits

  • The working-context inventory remains locally incomplete for RT-RTE-solver-task and its memory annotation. Optional solver skill-catalog injection is separate from editor skill reads and context compression. SRC-1 src/harbor/agents/terminus_2_modular/modules/tools/baseline.py conditionally discovers environment skills, reads frontmatter and returns name/description/location XML; src/harbor/agents/terminus_2_modular/kernel/orchestration.py appends that catalog before the loop. I independently checked both paths. This is conditional context supply, not observed retained experience or a new causal-claim acceptance route. Preserve the local compression and editor-context findings, but withhold complete comparisons of solver instruction discovery and subsequent skill-body consumption. No actual configured skills or successful invocation were observed. The caller is:

    skills_xml = await tools.build_skills_section(ctx) --- src/harbor/agents/terminus_2_modular/kernel/orchestration.py