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feat: distinguish resource-layer exclusions and unresolved coverage - #282

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Dong1017:codex/issue91-batch5
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Dong1017 wants to merge 14 commits into
InferMatrixLab:mainfrom
Dong1017:codex/issue91-batch5

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@Dong1017

@Dong1017 Dong1017 commented Oct 31, 2026 •

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Governing Issue and delivery slice

Refs #91, Round 2 Batch 5.

The requester authorized the parallel bounded continuation. Distinguish a reasoned resource-layer exclusion from an unexamined gap. Seven sidecars record N/A reasons; two bounded mechanisms gain numbered mappings and five procedures gain supplementary guidance mappings. Husky retains its unqualified research row and remains unknown. The coverage view keeps unknown, N/A, numbered coverage, supplementary guidance and conflicts distinct; conflicts and N/A are excluded from coverage totals.

Positive mappings remain solely in the SearchSpace Matrix; existing matrix entries are retained together with upstream updates. The optional sidecar searchspace_not_applicable field carries only a reason, retained in generated skill_metadata. The selected owners' source bodies, provenance, maturity and empirical-validation fields are unchanged.

This branch starts from main ffb77f9a168ba1cb22f7ba261f289d24dbb6698f and integrates main f58d09808eda2ab830c25dfbfbb2f24b737d03ca, preserving the Sarathi, DistServe and Mooncake source/matrix additions and upstream evidence. Batch 2 is merged through #263 and retained in this integration; the other batches are separate deliveries. Shared projections must be regenerated from combined sources when integrating siblings, preserving all source and matrix additions. A closed applicability key allowlist remains deferred. No new source extraction, model/device execution, paid evaluation or efficacy claim is included.

Checks and provenance

  • Current head: f4e2c7b8ab844940befb21ff18c4dd53bb9b2d55; integrated main: f58d09808eda2ab830c25dfbfbb2f24b737d03ca.
  • Reachable combined-source snapshot: e95689d89c957c24c23742366e1b723d735b1448. A separate following commit changes only the generated catalog and coverage; the final skill-library inputs are identical to this snapshot.
  • Three-way preservation checks retain the integrated main snapshot, the accepted batch fields, both matrices and historical evidence. Both native generator checks and full-tree Ruff pass.
  • The combined-source index and coverage checks and Ruff pass locally; no complete local pytest result is claimed for this head.
  • Linux Ready CI passes all six jobs on this head merged with main 919ed42c0d01dc0aa3b613085b9041d735d2d4db. The original Python 3.10 run failed one existing main-branch process-cleanup test with an INCONCLUSIVE result; that job passed on one retry. The intermittent failure remains unexplained.

These are source and software checks. Independent review applies only to its recorded revision; this description is not an approval. Skill Eval execution, efficacy, native-device qualification and whole-tracker acceptance are not claimed. Refs #91; the tracker remains open.

All 15 resource-layer decisions
Owner Decision Source and boundary
ascend-video-diffusion-optimization supplementary body section. The body adds concrete Ascend packed-layout, conversion-attribution and stream-lifetime guidance to the shared video workflow. Its declared first-hand field notes are explicitly untraceable/non-reproducible, so preserve guidance-only placement rather than a source-qualified hardware coverage claim.
audit-fixed-workload-claim not-applicable body section. The complete procedure audits a supplied measurement contract, nested observations, comparison metadata and claim verdict. Device resources are comparison inputs, not a resource-management mechanism.
audit-recurrent-kv-finalization covered body section. The body directly traces physical recurrent KV propagation, logical written-prefix validity, selected depth-specific attention reads and event-owned page retirement. This is an Accelerator KV lifecycle mechanism; host-owned metadata is not a host-memory budget or OS resource-control mechanism.
cite-check-downstream-pr not-applicable body section. The checklist verifies acceptance URLs, matching revisions, artifacts and public claim language. It contains no resource observation, configuration or optimization procedure.
competitor-scan not-applicable body section. The qualitative comparison framework positions a repository and controls the use of performance claims; it does not decide how a hardware resource is operated.
draft-acceptance-issue not-applicable body section. The steps scaffold an evidence tree and acceptance issue, freeze gates and record revisions. A device-count field identifies a campaign but does not implement a resource mechanism.
dwarfstar supplementary body section. The root provides the execution tuple and routes memory/SSD, session-state and qualification questions to the already-mapped sub-skills. Root navigation merits supplemental visibility, not duplicate numbered mechanism coverage.
husky unknown body section. The body asks conditional host/device implementation questions, but the actual source is an unversioned public page without identified code or raw receipts. Its reported Q4/KV/submission mechanisms cannot be assigned qualified resource coverage. Preserve the existing unqualified research row rather than fabricate an N/A exemption or positive map.
inference-benchmark-design not-applicable body section. Task-quality gates, SLO-goodput, workloads, aggregation, same-window comparison and final-artifact checks govern experimental validity. The later sections also remain evaluation methodology; device identity and isolation are comparison controls, not a resource bottleneck or operating mechanism.
lily supplementary body section. The root binds exact model/representation/device identity and routes capacity, prefix state and qualification to existing focused owners. It supplements their rows without relabeling CPU helpers as native behavior.
npu-skill-factory not-applicable body section. Despite NPU in its name, the body chooses knowledge artifacts and describes distillation/evaluation/promotion methodology. Device availability distinguishes task tiers; it supplies no NPU operating or resource-allocation mechanism.
repository-evolution-analysis covered body section. Most of the body is historical/meta methodology, but the explicitly linked RTK transition supplies a narrow reusable OS environment contract: distinguish manager discovery from consumer PATH/name resolution, unknown PATH from success, and platform-specific repair from process restart. Map only this substantive owner-local lesson.
skill-evolution-playbook not-applicable body section. The body decides how evidence changes skill text: amendment/conflict resolution, negative evidence, bounded edits, split/merge and held-out efficacy. Its state is skill revision history, not runtime resource ownership.
splash supplementary body section. The root selects the execution tuple, representation and ownership questions before delegating to the existing planning/cache/qualification routes. Add root navigation to the existing cross-resource table without duplicating its mechanisms.
video-diffusion-optimization supplementary body section. The end-to-end workflow includes concrete HBM-residency, quantization/layout, dependency-safe overlap and VAE chunking choices across components. Its stated evidence is unvalidated first-hand guidance; use a supplemental workflow row rather than claim new source-qualified native mechanisms.

Knowledge authorship declaration

{
  "schema_version": 1,
  "head_sha": "f4e2c7b8ab844940befb21ff18c4dd53bb9b2d55",
  "human_only": false,
  "material_ai_authors": [
    {
      "tool": "Codex",
      "model_id": "gpt-6-astra",
      "effort": "xhigh",
      "role": "author"
    }
  ]
}

Preserve source provenance and evidence states while making the declared scope explicit.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Avoid implying that host validity bookkeeping establishes CUDA completion.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Keep the canonical source snapshot reachable as a preceding commit.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
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Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review Status Commit Review trigger
📝 Code Review ⚠️ Failed 2026-10-31T03:40:01.280094Z
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354deb2 PR opened
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Skill evaluation

PLANNED: not executed; there are no task outcomes yet.
No approval, model efficacy or current-head test result is implied.

  • Next: run the pinned source/index --check below at head f4e2c7b8ab844940befb21ff18c4dd53bb9b2d55.
  • Blockers: Executable snapshot entries are not supported. No unsafe fallback; details below.
  • Selected comparisons: 0 · Estimated task calls: 0. Uncovered/unsupported changes: 92; Canonical library paths: 7; Generated projection paths: 78; Other paths: 7. These are paths, not independent claims.
  • Return: command, input/source pin, exit status, outputs/failures and untested claims for independent verified/refuted/unverified disposition.
Author verification steps (nonpaid; not yet run)
  1. Bind the checkout. Run git rev-parse HEAD; it must equal f4e2c7b8ab844940befb21ff18c4dd53bb9b2d55. If it differs, obtain a current plan; do not reuse old results.
  2. Check source/index consistency. At that PR checkout, using the reviewed repository tool and its documented development dependencies, run:
python tools/build_skill_index.py --source-revision e95689d89c957c24c23742366e1b723d735b1448 --check

The declared source pin matches this head's canonical library bytes. The command has not run: retain its exit code and full drift/success output. It checks the generated projection, not claim truth or skill efficacy.
No supported automatic comparison is selected. Review the canonical changes and explain which claims need evidence, are unaffected, or remain unverified; do not treat generated records as separate behavioral claims.

  • inference-benchmark-design
    Selected by the trusted path mapping: src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json.
    Unsupported: Executable snapshot entries are not supported. No snapshot prepared; task metadata is in details. Do not relax snapshot safety.
  • audit-fixed-workload-claim
    Selected by the trusted path mapping: src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json.
    Unsupported: Executable snapshot entries are not supported. No snapshot prepared; task metadata is in details. Do not relax snapshot safety.
    Uncovered scope by location: Canonical library paths: 7; Generated projection paths: 78; Other paths: 7. Path counts are not claim counts; no metadata-only conclusion is inferred.
  1. Return evidence for independent review: head, check/task/source pin, command, environment, exit status, outputs/failures and untested claims. Label scripted controls. Request each claim's disposition: verified, refuted or unverified; this plan proves neither model provenance nor benefit.
    Check recipes and evidence limits

Evidence and logs · Retention: 30 days.
Retained artifacts are verifiable only before Unix time 1796183650 while the linked artifact is available. Expired evidence is unverified.

Plan bindings, budget, frozen exam and advisory details

Advisory: obtain missing evidence

Retained evidence availability: planned / unexecuted. No approval or merge authorization is issued.
Applicable only while these revisions and inputs match the current PR.
Paid execution requires trusted label authorization and cumulative PR reservation. Unknown accounting blocks new paid calls; planning is not execution.
Pipeline evidence only; offline fixed outputs do not establish skill efficacy.
Unchanged-correct is valid neutral evidence, not incremental benefit.
Content/source review and authorship admission remain separate.
Trusted regrading checks retained answers, not model/hardware provenance or a hostile executor; this is not an efficacy certification.

  • Retained evidence is planned / unexecuted.
  • No supported comparison cases were selected.
  • Uncovered/unsupported scope needs a case or explicit reviewer disposition.
    Plan SHA-256: 8758b4daa8509c13e353541759d24aa6a06e48642ffaeab8e47f5fbf6e5b8e78
    Base: f58d09808eda2ab830c25dfbfbb2f24b737d03ca · Head: f4e2c7b8ab844940befb21ff18c4dd53bb9b2d55
    Trusted implementation: 919ed42c0d01dc0aa3b613085b9041d735d2d4db

Model/settings: {"effort":"not_applicable","name":"claude-opus-5-5"}
Budget: {"comparisons":0,"estimated_calls":0,"limits_per_comparison":{"campaign_seconds":600,"max_task_calls":2,"repeats":1,"timeout_seconds":180,"token_stop_new_trials":200000},"provider_config_sha256":"b28d80f8194fbe0f5a9f01515efb24b218979fd45f702776560da276f4b30d04","reservation":null}

Skill Comparison Cases Estimated calls
inference-benchmark-design unsupported snapshot: Executable snapshot entries are not supported — 0

Selection/task metadata (not a relevance verdict):

{"adapter":"audit","basis":"trusted_path_mapping","matched_paths":["src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json"],"tasks":[{"evidence_scope":"http_fixed_workload","id":"audit-threshold","request":"Audit the fixed input report using its contract. Compute the median of per-trial request means, including every request in each trial, and the percentage reduction relative to the baseline aggregate.","split":"holdout"}]}

| audit-fixed-workload-claim | unsupported snapshot: Executable snapshot entries are not supported | — | 0 |

Selection/task metadata (not a relevance verdict):

{"adapter":"audit","basis":"trusted_path_mapping","matched_paths":["src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json"],"tasks":[{"evidence_scope":"http_fixed_workload","id":"audit-threshold","request":"Audit the fixed input report using its contract. Compute the median of per-trial request means, including every request in each trial, and the percentage reduction relative to the baseline aggregate.","split":"holdout"}]}

Automatic execution / cumulative PR budget:

{"reason":"Trusted configuration or pricing missing, invalid or expired","remaining_usd":"unknown","reserved_or_unresolved_usd":"unknown","spent_or_legacy_usd":"unknown","state":"blocked"}

Projection check selection (not an executed result):

{"declared_in":"src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md","source_revision":"e95689d89c957c24c23742366e1b723d735b1448","status":"ready"}

Provider/settings: {"client":{"api_version":"2023-06-01","endpoint":"https://yibuapi.com/v1/messages","kind":"anthropic-messages-full-context-v1","max_output_tokens":4096,"max_read_bytes":32768,"max_request_bytes":262144,"max_requests":1,"max_tool_calls":12,"provider":"yibuapi"},"limits":{"token_stop_new_trials":200000},"model":{"effort":"not_applicable","name":"claude-opus-5-5"},"pricing":{"currency":"USD","expires_at":1793271228,"group":"default","max_input_tokens":1000000,"model":"claude-opus-5-5","rate_evidence":"https://github.com/InferMatrixLab/InferRSI/issues/215#issuecomment-6467531341","rates":{"cache_read":"0.4","cache_write":"10","input":"8","output":"40"},"request_fee":"0","unit":"per_million_tokens"},"spend_limit":{"amount":"200","currency":"USD"}}

Uncovered / unsupported paths (92)
  • uncovered: "docs/knowledge-base.md"
  • uncovered: "docs/searchspace-matrix.md"
  • uncovered: "docs/skill-coverage.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json"
  • unsupported: "src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/workflows/competitor-scan/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/workflows/npu-skill-factory/metadata.json"
  • uncovered: "src/inferrsi/skill_catalog.py"
  • uncovered: "tests/test_skill_catalog.py"
  • uncovered: "tests/test_skill_coverage_view.py"
  • uncovered: "tools/build_skill_coverage.py"

Keep the canonical source snapshot reachable as a preceding commit.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
@Dong1017 Dong1017 added the area:knowledge Knowledge line: packs, skill library, knowledge admission label Oct 31, 2026 — with ChatGPT Codex Connector

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LGTM for the bounded resource-layer classification and view at 8b8ff658; no blocking issue found in the reviewed scope.

  • The seven reasoned N/A declarations, two numbered mappings, five supplementary mappings and one unknown remain distinct. Validation rejects empty/non-string reasons; rendering exposes conflicts and excludes them from both N/A and coverage totals.
  • Source bodies and maturity/evidence fields stay unchanged. The recurrent-KV and RTK rows are bounded to their existing source mechanisms; supplementary routing is not promoted to new resource qualification.
  • Current-head Ready and declaration checks pass. Existing author/integrator @Dong1017 should preserve sibling source/matrix additions and regenerate both projections after combining branches. Skill Eval remains unexecuted; this recommendation grants no efficacy, merge or whole-tracker acceptance.
Evidence and scope

Head: 8b8ff658d10a143cabac0999900ba27d915bea19; API base / assessed main: ecca7e9136d962747f42860f58e332f45b0aa358 / ecca7e9136d962747f42860f58e332f45b0aa358.
Hosted tested merge: ff58a89a0f6c86e397fdd272c618cbdaf97ad458, with verified parents current main + this head. Ready run has successful Python 3.10/3.11 full-check and installed-package jobs plus KV task qualification. Latest declaration run succeeds; declaration compliance alone verifies neither author execution settings nor content.
Reviewed scope: Changed catalog validator, coverage collection/classification/count/render/gap paths, their regression tests, seven sidecars, all 15 layer decisions, affected matrix/documentation and generated projections. Source snapshot e34f420814dd8382e0aad08925d49c80aa85994f is public and the library inputs do not change between it and this head; later commits contain projections and separately inspected matrix/code follow-ups. This task inspected source and hosted evidence; it did not rerun pytest, generators, models, devices or paid evaluation.
Current Skill Eval plan: zero selected comparisons, 118 uncovered/unsupported changes, execute skipped. Explicit disposition: source/metadata software delivery only, with candidate/not_run and all empirical acceptance gaps retained. Green software checks are not skill-effect evidence.
Sibling combination is untested: #263 a559b12a1dcf1d549e801dd645a949b0f730a75f; #282 8b8ff658d10a143cabac0999900ba27d915bea19; #283 7746aea56298fa2f9df21f92b1a830b8eb8ea4ba; #285 57bc805db9bb56995e2ae988830e1c52a14f85d3; paper additions #277 e3db289c42d6d37374755a05f28b1107da4f73ae, #278 7ef53189343c4bf04fc9e31b4d80f9644482cdfc, #279 cf0b7022761fa83361f986e3b37c2031ad33fd8d. The known findings on #263/#285 are not cleared by this review.
No implementation involvement in this review task. COMMENTED because the posting account is also the PR author account; no formal self-approval is issued.

Preserve upstream Sarathi source, matrix and evidence additions alongside this batch. Regenerate shared projections in the following commit.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Keep the canonical source snapshot reachable as a preceding commit.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Preserve upstream source, matrix and evidence additions alongside this batch. Regenerate shared projections in the following commit.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Keep the canonical source snapshot reachable as a preceding commit.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>

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No new blocking defect found in the reviewed increment at c9dce424; this is not an unconditional LGTM or a merge-ready verdict.

  • The previously reviewed classification code, tests and seven N/A sidecars are unchanged. Sarathi/DistServe canonical additions and matrix entries are preserved; the reachable source snapshot matches final library inputs, and regenerated records retain the intended N/A metadata without changing evidence/maturity claims.
  • Ready CI passes for the recorded combination, but its tested merge uses 48484b2d, not latest main 68108700 (Mooncake). Existing integrator @Dong1017 should preserve both canonical source/matrix sets, regenerate both projections from combined inputs, and obtain exact-combination checks and current-head review before merge.
  • Skill Eval remains planned/unexecuted: zero selected comparisons and 92 unsupported/uncovered paths. Explicit disposition remains source/metadata/software delivery only; no efficacy, native-device qualification or whole-#91 acceptance.
Revision-bound evidence and review limits

Reviewed head: c9dce4249f6db51480a669e60fb18a2bda9b9da5. This is an incremental preservation/projection review following the prior scoped review at 8b8ff658d10a143cabac0999900ba27d915bea19, not a repeat of its 15 classification decisions.

Source snapshot comparison: snapshot 6a39cb45c66c22ebec973200c9a36e48c12ed9e7 is the immediate ancestor; subsequent changes are coverage, catalog README and 77 generated JSON records, with no canonical library input change.

Ready run: Python 3.10/3.11 full-check and installed-package jobs plus KV qualification succeed. Tested merge has parents 48484b2d60141ed653e6040660e8fe3eb780bdef and this head. Latest-main comparison is diverged and behind one commit; this CI does not establish that combination.

Skill Eval evidence remains unexecuted. This review inspected source and hosted evidence; it did not execute repository code, generators, tests, models, devices or paid evaluation. No implementation involvement in this review task. COMMENT only; no formal approval.

Preserve the upstream canonical sources and matrix rows alongside the
seven explicit not-applicable reasons, seven positive matrix additions,
and the existing catalog and coverage state handling.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (source integration)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Pin the catalog to the reachable source merge and regenerate the coverage
view without changing source metadata or evidence states.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (generated projections and validation)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>

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The latest-main integration prerequisite in my previous review is cleared at aa5988c4 against main 68108700. No new blocking defect found in this increment; the bounded source/metadata/software slice is clear from this review.

  • Mooncake, Sarathi and DistServe canonical content is preserved alongside the previously reviewed resource-layer changes. Classification code, tests and seven N/A sidecars are unchanged from the prior reviewed head; the reachable combined-source snapshot precedes the regenerated catalog and coverage projections.
  • Ready CI tests the exact current-main/head combination: both Python full-check jobs, both clean installed-package jobs and model-free KV qualification pass. Latest declaration check also passes. This clears the earlier integration evidence gap, not sibling combinations introduced by later merges.
  • Skill Eval remains planned/unexecuted, with zero comparisons and 92 unsupported/uncovered paths. Reviewer disposition is source/metadata/software delivery only: no efficacy or native-device qualification, and #91 remains open. Refresh head/base/checks before merging; this COMMENT is not a formal approval.
Exact revisions and evidence

Reviewed head: aa5988c4458684858f8b063487d6a865e17bbaf5; assessed main: 6810870046b4f493d39b6eaede0f1a4004369235, confirmed ancestor by comparison. Increment from c9dce4249f6db51480a669e60fb18a2bda9b9da5 adds the upstream Mooncake material and regenerated projections; this does not repeat the original 15-decision semantic review.

Source snapshot: f143ad5de97b07ed2d86e206764a29c3415363ed is the immediate ancestor, with only coverage/catalog projections afterward.

Ready run, including the Python 3.11 log, explicitly checks out 11c7e028fa9c19c77b28f02e61e8460f857f625b; its verified parents are the assessed main and reviewed head. That suite reports 3,196 passed, 13 skipped and 284 passing subtests. Latest declarations pass; declaration compliance does not independently verify author execution settings. Skill Eval plan remains unexecuted.

Source and hosted evidence inspection only; no local repository-code, generator, test, model, device or paid execution, and no implementation involvement in this review task. No active equivalent current-head review was present at the pre-publication refresh.

Preserve main method applicability and recommendations alongside the seven
resource-layer exclusions and seven positive matrix mappings. Retain both
knowledge-base contracts and all upstream policy, CI and historical records.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (source integration)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Preserve completed generation at source a64da5f.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Preserve both video diffusion and JustGoal guidance, upstream source additions, and seven reasoned resource-layer exclusions. Generated projections are rebuilt in the following commit.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Regenerate discovery records and coverage from source e95689d. Verify both generators in check mode and run Ruff; no new full test-suite result is claimed.

Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>

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Scoped LGTM for the resource-layer classification and current-main integration at f4e2c7b8.

  • Classification code/tests and all seven N/A reasons are unchanged from the previously reviewed aa5988c4. The integrated metadata retains the merged benchmark sources; the combined source pin matches the final library tree, with only projections changed afterwards.
  • Ready CI tests this head with assessed main 919ed42c; current software and per-head policy checks pass. The original Python 3.10 failure and successful retry are retained below rather than described as a failure-free run.
  • @Dong1017 retains the merge/integration decision. Combining siblings requires preserving their canonical changes and regenerating projections again. Skill Eval remains planned with zero comparisons; this is no efficacy, native-device or whole-tracker acceptance.
Evidence and limits

Reviewed head: f4e2c7b8ab844940befb21ff18c4dd53bb9b2d55; API base: f58d09808eda2ab830c25dfbfbb2f24b737d03ca; assessed main: 919ed42c0d01dc0aa3b613085b9041d735d2d4db. This incremental review reuses the prior source/decision review, with unchanged classification implementation and reason fields independently checked in the complete old-head delta.

Material e95689d89c957c24c23742366e1b723d735b1448 and head both expose library tree 7a1abd32fa3595a18531eaea4dd00f5afe403af2; the subsequent 79-path diff contains only catalog/coverage projections. Ready CI checks out tested merge e637a14172207b41ba44780b41014d2c55cd94bc, whose verified parents are assessed main and reviewed head. Inspected Python 3.11 log: 3,387 tests and 284 subtests passed, 13 skips, one warning; current Python 3.10/installed/qualification jobs also report success. The author's retained first-attempt Python 3.10 process-cleanup INCONCLUSIVE failure passed on retry; its intermittent cause is unverified here.

Per-head policy passes. pull_request_target Skill Eval publishes a plan, skips execution, and leaves 92 uncovered/unsupported paths. Source and hosted evidence inspection only; no local repository tests, generators, models/devices or paid evaluation were run. No implementation involvement; COMMENTED because the account also owns this PR.

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