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knowledge: validate NInfer state and completion contracts - #325

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Dong1017:codex/issue91-ninfer-source
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Dong1017 wants to merge 6 commits into
InferMatrixLab:mainfrom
Dong1017:codex/issue91-ninfer-source

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@Dong1017

@Dong1017 Dong1017 commented Nov 3, 2026 •

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Refs #91. Refs #177.

Problem and scope

Zero accepted drafts does not mean zero adopted input, and a commit receipt does not establish device retirement. This source-only amendment adds a NInfer-specific state-restoration and completion-validation reference to the existing inference-benchmark-design owner, with an ordinary source ledger, a short entry pointer, incremental metadata and the two matrix mappings.

The reference identifies coupled StateImage/Main/MTP history, the same-physical-block fold oracle, frontend-adopted versus accepted/committed counts, and publication/retirement observations. It preserves cancellation, zero/mixed/full-prefix controls and historical phase/corpus/wave denominator differences. Existing speculative-budget and Ouro recurrent-KV owners retain their separate responsibilities. No engine, controller, runtime, schema, registered skill or test implementation is added.

Fixed source and provenance

  • Neroued/ninfer, pinned to 1882c6adbc98043fcf89f3589aa5addb3742777a.
  • The ledger records 27 selected full or bounded source, assertion-definition and rights files, with exact blob/byte identities and inspected ranges. This is a selected readset, not an audit of all 3,694 tree entries. Selected software/documentation is Apache-2.0; model/vendor rights remain separate. Original attributed prose and immutable links redistribute no implementation, model, corpus, figure or vendored dependency.
  • The implementation slice concerns Qwen3.5 GDN/MTP eager production/folding and public checkpoint/execution contracts. Other model algorithms, current Graph/kernel qualification and native correctness remain outside this source review. Historical Qwen3.8 measurements name 7f6aafedb5f20200def820cfe51ab81c09c20eeb, not the inspected source revision, and retain their quality/termination gaps.
  • Original canonical source d356da0b8e4697cd4f584c837d8cbbacac22c13e is retained through main-preserving integration M 7045a9eef66e310b4810fbb7d2d9d25ed1d14b24 over main 663f3b327998526a13aa31e72ad729025c18983c. Corrective real source M bad68ff5c1426b050df78ffbd106ac2e370ce186 follows prior H 1367f22dce62cd9bc72c32e7d2470e264d1283f4 and adds the existing benchmark owner ID to the Reference Matrix row. Native G/H is cbbee590ec78c77ec15e4c169f80aeefa7ab671e, generated only after actual corrective M. Metadata, the Searchspace Matrix and the exact owner applicability exclusion remain unchanged, as do both original NInfer resources. All 81 native projections are regenerated from this actual M; pending Xe-Forge, DeepSeek and Infera increments are not imported. Future integration must preserve combined canonical sources and regenerate their projections.

Validation status and limits

Both original native write modes passed from actual corrective M; the unmodified Reference Matrix parser now associates the NInfer row with the existing owner. No runtime, source interpretation, schema, generator or evaluator was changed.

Both original final-H checks passed with 79 current metadata records and matching coverage. Real native owner/catalog reads verified all 12 source-file manifest hashes; checkout returned 15 resources and the source-package adapter exposed 757 dependency resources. Whole-resource Collect selected all 15 resources (189,640 bytes), including both unchanged NInfer references, with no omissions and revision-bound byte/hash checks. The corrected Reference Matrix mapping is visible in the actual coverage output, and the exact main applicability exclusion is retained. Source-package reads use the checkout and are separate from installed-wheel evidence.

Ready 41636127211 passed all six jobs. Python 3.10 and 3.11 full checks each reported 3,544 passed / 13 skipped / 1 warning / 284 subtests, plus Ruff. Each fresh isolated noneditable wheel loaded 127 source-grounded records from site-packages outside the checkout and verified the declared resources. The actual tested merge 488124eb0e08f15eb65067986963d41cac224b82, with main 663f3b32 and this H as parents, has exactly this H tree.

Private independent gpt-6.1-sol / ultra review covered the complete corrected H, source preservation, native projections, the owner mapping, actual readers and these current software/wheel results: LGTM, with no current-H findings. The reviewer is review-only. Current-H Codex review completed with no findings or unresolved flags; complete inline-thread reads returned zero threads. Current PR checks report the final head-bound declaration result. Earlier H 1367f22d results remain historical; an earlier declaration failure on this H is also retained separately from the current corrected declaration result. A same-head SkillEval publication succeeded; the older concurrent publisher was subsequently refused by the anti-stale guard. These publication receipts are separate from trial outcomes.

SkillEval selected 0 comparisons / 0 model calls and 87 unsupported paths, with the inherited executable-snapshot limitation retained. The original source/index check and source/content disposition provide their limited evidence; no evaluator, mapper, mode, producer or budget was changed and no efficacy result is claimed.

Knowledge remains candidate/not_run and efficacy remains not_evaluated. Upstream C++/CUDA/native assertions were read as definitions, not executed. No upstream build/test suite, model/device execution, service/quality experiment or paid trial was run. Software/source consistency does not establish native model parity, device performance or agent benefit.

Knowledge authorship declaration

{
  "schema_version": 1,
  "head_sha": "cbbee590ec78c77ec15e4c169f80aeefa7ab671e",
  "human_only": false,
  "material_ai_authors": [
    {
      "tool": "Codex",
      "model_id": "gpt-6.1-sol",
      "effort": "max",
      "role": "author"
    }
  ]
}

Extend the existing benchmark-design owner with fixed-source coupled-state,
accepted-prefix and completion-denominator validation guidance. Retain source-only
candidate boundaries and the historical report's distinct execution revision.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex (gpt-6.1-sol, reasoning_effort=max)
Regenerate coverage and packaged skill discovery from actual source d356da0.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex (gpt-6.1-sol, reasoning_effort=max)
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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 ✅ Completed 2026-11-03T12:34:49.868192Z cbbee59 New commits
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github-actions Bot commented Nov 3, 2026 •

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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 cbbee590ec78c77ec15e4c169f80aeefa7ab671e.
  • Blockers: Executable snapshot entries are not supported. No unsafe fallback; details below.
  • Selected comparisons: 0 · Estimated task calls: 0. Uncovered/unsupported changes: 87; Canonical library paths: 4; Generated projection paths: 80; Other paths: 3. 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 cbbee590ec78c77ec15e4c169f80aeefa7ab671e. 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 bad68ff5c1426b050df78ffbd106ac2e370ce186 --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/SKILL.md; src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json (+2 more in the plan).
    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: 4; Generated projection paths: 80; Other paths: 3. 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 1796302927 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: 95334064765c1eef1ed94dc5cdaff00a4743cb08e75c3706d8dd96867228da70
    Base: 663f3b327998526a13aa31e72ad729025c18983c · Head: cbbee590ec78c77ec15e4c169f80aeefa7ab671e
    Trusted implementation: 663f3b327998526a13aa31e72ad729025c18983c

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/SKILL.md","src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json","src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/ninfer-source.json","src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/ninfer-state-and-completion-contracts.md"],"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":"bad68ff5c1426b050df78ffbd106ac2e370ce186","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 (87)
  • uncovered: "docs/reference-matrix.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/torch-npu.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/pytorch.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/inference-benchmark-design/SKILL.md"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/ninfer-source.json"
  • unsupported: "src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/ninfer-state-and-completion-contracts.md"

@Dong1017 Dong1017 added the area:knowledge Knowledge line: packs, skill library, knowledge admission label Nov 3, 2026 — with ChatGPT Codex Connector
Retain original state and completion evidence with all current-main canonical, applicability, resource-layer and release additions before regenerating projections.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Regenerate the native coverage and catalog from actual source M
7045a9e.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Make the reference matrix source row attributable to the registered
benchmark owner. Retain its hardware applicability exclusion and sources.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Regenerate coverage and packaged skill discovery from actual source bad68ff.

Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Agent-assisted-by: Codex (gpt-6.1-sol, reasoning_effort=max)
@agent-ci-infra-bot

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This PR adds a NInfer source ledger and a state-restoration/completion-validation reference to the existing inference-benchmark-design owner, wires it into metadata, SKILL.md, both matrices and the generated coverage page, and regenerates the packaged projections. I found no defect in the repository-internal artifacts I could check; the upstream NInfer claims themselves were not independently verifiable here. Verified locally: python tools/build_skill_index.py --source-revision bad68ff5c1426b050df78ffbd106ac2e370ce186 --check → "Skill index is current: 79 metadata records", python tools/build_skill_coverage.py --check → "matches its sources", ruff check src tests → clean, and the knowledge/skill-index/coverage test modules pass (full pytest has pre-existing environment-only failures caused by git 2.39 lacking --no-lazy-fetch, which reproduce on the base commit). Relevance: current — main is still at the PR's base commit 663f3b3, so no overlapping merged work displaces this change. No earlier bot findings exist to reconcile. Labels: kind:docs (documentation/knowledge delivery; the existing area:knowledge label already covers the knowledge line).

Reviewed commit: cbbee59
Coverage: Checkout: 2647 files at cbbee59 in a git worktree with the repository's history

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Review at head cbbee590: no defect found in the NInfer source ledger/reference in isolation (tools/build_skill_coverage.py --check passes locally), but I am not approving yet because of a cross-PR integration problem:

  1. Conflicts with the other open knowledge PRs: merging this head onto main together with any of Extend VLA observation-to-action benchmark guidance #342, Add source-bound TTS playout benchmark guidance #339, knowledge: audit Infera serving-search result provenance #332, knowledge: audit DeepSeek C expert-cache byte validity #324 or knowledge: distinguish Xe-Forge trial origin and timing #322 produces 81-84 conflicting files in my local trial merges (generated repo_packs/.../knowledge/**, docs/skill-coverage.md, docs/reference-matrix.md, docs/searchspace-matrix.md). Extend VLA observation-to-action benchmark guidance #342, Add source-bound TTS playout benchmark guidance #339 and knowledge: distinguish Xe-Forge trial origin and timing #322 also edit the same hand-written src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md and metadata.json, so those need a real content merge.
  2. Expected: please agree a merge order with the other authors; after each predecessor lands, rebase, re-merge inference-benchmark-design/SKILL.md/metadata.json, regenerate the projections, re-run the index/coverage checks and request re-review on the new head.

Not verified by me: the upstream source pins in ninfer-source.json.

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