Ingest

ingest — weave, adopt, or reuse a source (normal ingest is the only LLM write step)

You are the maintainer of the knowledge base. Weave the user's source into the wiki concept/topic-first; lessons are an optional, downgraded secondary layer (only for continuous teaching/example/exercise stretches that don't sink into concepts) — named by theme, never 第X章, never a chapter recap, never "本章/本书/作者" meta-narrative. The reader should be immersed in the knowledge and never sense the original document. Work under the work-order transaction protocol the whole way. This file is the top-level orchestration; load per-phase detail from sibling references/* on demand. Project truth: AGENTS.md / CLAUDE.md. Engineering format: docs/skill-runtime/skill-standard.md.

If the request is to adopt an already-populated vault, take the dedicated zero-LLM adopt-vault branch in §6 before any work-order, window or LLM writing step; that branch does not use the normal ingest transaction protocol. If the request is to register selective reuse from another pipeline vault whose source is already published, take the zero-LLM reuse-source branch in §6; target merge pages/source_refs must already exist and are never written by it.

Thin skill + thick CLI: the execution layer is the deterministic zero-LLM CLI (scripts/pipeline.py); this skill carries no business code, only orchestrates it. <src> = this source's source_id; run commands from the project root with the study-kb interpreter (on Windows: pwsh + $env:PYTHONUTF8=1).

1. Triggers / Non-triggers

• Triggers: "add this book/PDF to the KB", "ingest <source>", "index this document", "weave this file into the wiki", "adopt/onboard this existing Obsidian vault", "reuse this source from the published vault".
• Non-triggers (never fire): "summarize this", "explain this", "translate this", "answer a trivia question", "what is this PDF about" (a question, not an ingest request).

2. Inputs

• The user gives: file path <path>, domain <domain>; format <fmt> is inferred from the extension (pdf/md/docx/pptx); <src> is derived from the filename (lowercase, hyphenated). Confirm <src> and <domain> once with the user.
• For existing-vault adoption, instead require <src>, <title>, <domain>, a baseline archive path and its independently recorded 64-hex SHA-256. Confirm all five inputs; do not silently calculate a new expected hash and treat it as prior baseline evidence.
• For cross-vault reuse, require <src>/<title>/<domain>, the current PDF path + independently expected SHA-256, a disjoint read-only <origin-root> + matching <origin-source>, and an explicit mapping JSON (v1 or v2 — both supported). The mapping's covered origin-concept set must equal the set the origin actually owns, so nothing is missed, duplicated or double-mapped; target count and the non-empty/zero-mapping split are the mapping's own shape, not a gate. A v2 mapping adds a symmetric topic_targets dimension so topic pages that legitimately aggregate this source can declare it; unlike concepts, origin topics need not be covered exhaustively — only referenced ones must exist and must not be referenced twice. Non-empty targets in either dimension already carry this source_ref, while explicit zero-mapping targets must not. This branch verifies the merge; it never performs it. Existing v1 mappings and frozen v1 evidence need no migration: a v1 run is byte-identical to before.
• Read: wiki/_meta/purpose.md first — it is the authority on writing style, structure, depth and terminology (the user's learning goals / teaching preference). The deterministic layer only guards order/safety/provenance; form is purpose-driven, not template-driven. Then read docs/skill-runtime/{schema,concept-resolution}.md, templates/* (suggested scaffolds, not mandatory skeletons), and the phase references.

3. Outputs

• Normal-ingest vault writes are always status: proposed + managed_by: pipeline: lessons / concepts / topics / comparisons / synthesis / sources/<src>.md / overview.md.
• Adoption exception: adopt-vault --apply adds only a deterministic canonical sources/<src>.md with format: legacy-vault, status: published, plus immutable evidence/state; it never automatically rewrites existing knowledge pages.
• Reuse exception: reuse-source --apply likewise adds a deterministic canonical source page with format: external-vault-reuse, status: published, plus immutable origin/mapping/first-target evidence and reused/published state; it never writes any mapped target page.
• Derived files (_registry.yaml / index.generated.md) are not written by this skill — the finishing CLI rebuilds them. aliases.md is retired (B2): English aliases live only in the concept page's aliases: frontmatter (Obsidian reads them natively for search/autocomplete).

4. Dependencies

• CLI: scripts/pipeline.py (commands per phase).
• Protocols: docs/skill-runtime/schema.md (page types / per-type frontmatter contract; section titles are no longer mandatory — structure is purpose-driven), concept-resolution.md (resolution + home-domain routing).
• Phase references: references/preflight.md, references/arbitrate.md, references/content-routing.md, references/write-pages.md, references/synthesis.md, references/finish-lint.md.

5. Persisted artifacts

• pipeline-workspace/staging/<src>/: source.md, blocks.jsonl, chapters.json (deterministic chapter map / navigation spine), reconciliation.json + evidence.json (PyMuPDF×MinerU dual-audit + per-page evidence model), arbitration/{queue,decisions,audit}.json, windows.jsonl, workorder.yaml, hard-page PNGs, digest.md (cross-window rolling digest with a ## RESUME block).
• ingest_progress (per-window accounting, machine state). Rollback snapshots in pipeline-workspace/snapshots/.
• Adoption branch only: pipeline-workspace/adoptions/<src>/manifest.json + verbatim page bytes under files/, one canonical source page and one adoption_evidence artifact; no staging/workorder/window ledgers.
• Reuse branch only: pipeline-workspace/reuses/<src>/{manifest.json,mapping.json,origin-state.json,origin-files/**,target-files/**}, one canonical source page and one reuse_evidence artifact; no staging/workorder/window ledgers.
• Reuse reseal only: pipeline-workspace/reuse-reseals/<src>/<operation-id>/ keeps the canonical transition, old/new source bytes and the full old evidence generation; exact retries reuse this archive.

6. CLI commands (orchestration order)

legacy vault (zero LLM)  adopt-vault --source <src> --title <title> --domain <domain> --baseline-archive <archive> --baseline-sha256 <sha256> [--apply]
published source reuse (zero LLM)  reuse-source --source <src> --title <title> --domain <domain> --path <pdf> --sha256 <sha256> --origin-root <root> --origin-source <src> --mapping <mapping.json> [--expect-concepts N --expect-topics N] [--apply]
reuse evidence v1→v2 reseal (zero LLM)  reseal-source --source <src> --mapping <mapping-v2.json> --from-manifest-sha256 <old-manifest-sha256> [--apply]
preprocess + auto-arbitration  init-vault → add-source → profile → source-convert → source-audit →[ arbitration-status → if pending: agent arbitrates queue → arbitration-apply ]→ windows → workorder
start / per-window (LLM)  ingest-start → read chapters.json (build whole-book understanding) → write per-chapter content-routing table into digest (advisory; references/content-routing.md)
                          →[ in chapter order: window-start → show-window → write pages per routing orientation (read hard-page source images as evidence; re-express natively — never embed them; deviations logged) → window-done --writes ]×N
synthesis (LLM)           phase E: update overview + build topic/comparison/synthesis (into some window's --writes) — first-class, lint blocks if missing
finish (zero LLM)         ingest-done → lint
incremental reopen        reopen → ingest-start →[ per-window backfill ]→ ingest-done → lint

legacy-vault adoption: run the command first without --apply; this is a strict byte-zero-write dry-run that proves the pre-adoption ZIP and live adoptable-page set/bytes match. Legacy wiki_gate content debt is warning-only here—the hard stop is limited to safety/readability/published status and archive/evidence/source/ state/ledger integrity. After explicit review, rerun with --apply. It takes the vault lock, writes immutable evidence + the canonical source page, rebuilds derived artifacts, and only then records legacy-vault as adopted/published, with all three ingest ledgers at zero. A fully verified exact repeat is a whole-tree byte no-op. Later live-page evolution only reports post-adoption-live-drift; it never rewrites the historical manifest/evidence or fails adoption. Archive, evidence, source-page, adoption metadata or state drift still fails closed. Use vault-lint / graph-lint afterward to pay down the warning-only legacy content debt.

published-source reuse: before both dry-run and apply, set PYTHONDONTWRITEBYTECODE=1 and invoke python -B scripts/pipeline.py reuse-source ...; the origin may also be this CLI code repository, so ordinary imports are not allowed to update its scripts/__pycache__. Run without --apply first. The origin state DB must use a non-WAL rollback journal and have no -wal/-shm sidecar. The plan must report the expected PDF hash, read-only origin lint/published state, canonical source page, the published concept/topic counts it found, and a mapping (v1 or v2) whose covered origin-concept set equals the origin's own set (hence exactly once each). Target count is the mapping's shape, not a gate; --expect-concepts / --expect-topics are optional confirmations. A v2 mapping also reports its topic_targets dimension — topic coverage is deliberately partial, so only referenced origin topics must exist and must not repeat. Non-empty target pages in either dimension must already carry this source_ref; zero-mapping targets must not. Replaying frozen v1 evidence stays a byte no-op; mixing a v1 evidence set with a v2 mapping (or vice versa) fails closed rather than silently upgrading. Apply takes only the target vault lock, freezes origin state/pages, raw mapping and the first target merge bytes, rebuilds every derived layer, then records external-vault-reuse as reused/published; all three ingest ledgers remain zero. Exact repeat is whole-tree byte/mtime no-op only after registry/index/graph/quiz/propositions are recomputed and verified; missing or corrupt derived output is rebuilt under the target lock. Later target live evolution is post-reuse-target-live-drift warning-only; origin/PDF/mapping/ evidence/source/state drift fails closed. The temporary mapping path is not identity: after success, replay with the immutable evidence mapping.json and remove the temporary input.

reuse evidence reseal: existing v1 evidence normally needs no migration. Use the independent reseal-source only when a legitimate topic attribution cannot be represented by frozen v1 evidence; ordinary reuse-source must never enter this branch. Set PYTHONDONTWRITEBYTECODE=1 and use python -B; the same read-only origin and non-WAL checks still apply. Run without --apply first. The old evidence must pass its full manifest/file/live-origin/PDF validation. Source/domain/title/format/evidence version/PDF/origin are derived from that manifest and have no override flags; concept targets, counts and target_pages must also remain identical. Only a non-empty v2 topic_targets dimension and its derived evidence may change. Apply holds the target vault lock, durably stages one deterministic operation, demotes state to reused/running, archives the whole v1 evidence generation, activates v2 evidence, replaces the source page only if its bytes still equal the old canonical page, rebuilds derived artifacts, then atomically changes reused-stage/artifact hashes and republishes. A crash at any boundary rolls forward by rerunning the exact command; published state exists only with a matching old or new generation, and an exact completed repeat is a whole-tree byte/mtime no-op. Do not use reseal to cover damaged evidence or to retire a source. Known limitation: retract-source does not support adopted/published or reused/published terminal states; do not call it for either branch. If an OS-level kill leaves a stale vault lock, follow the normal unlock protocol before rerunning the same reseal operation.

Backend selection / dual-audit / reading windows: source-convert defaults to --backend auto — Markdown / born-digital PDF take the lightweight PyMuPDF path; scanned / low-text PDF, DOCX / PPTX take MinerU (fail-closed if absent, never a silent fallback). source-audit runs the MinerU structural review of every PDF and writes reconciliation.json (PyMuPDF thresholds are deliberately broad and are not a single source of truth); production / strict acceptance requires the dual-audit to pass. When the dual-audit flags a structural page PyMuPDF missed, the auto-arbitration sub-step (references/arbitrate.md) automatically decides render/ignore/needs_human and the CLI materializes it into the windows — an un-closed disagreement blocks strict acceptance. When writing each window, read it via show-window (output carries heading_path / page range / block_ids / risk_flags / assets); do not guess ranges from source.md char offsets. Block-mode (MinerU / structured) pages keep traceable block_ids / source_refs / assets.

reopen (incremental backfill of a published source): to add synthesis / native KaTeX re-expressions of formula pages / worked examples to an already-finished source, first python scripts/pipeline.py reopen --source <src> — it rebuilds the work order against the current vault and resets the state machine to workorder_ready; then ingest-start as usual. lint only promotes this round's new/edited proposed pages; existing published pages stay. New topic/comparison/synthesis/ overview pages carry source_refs for ownership, but ownership never substitutes for accounting — put them in some window's --writes or lint blocks them as unaccounted-write.

7. Workflow (load references on demand)

Phase	File	Responsibility
A preprocess	references/preflight.md	deterministic chain + dual-audit acceptance (needs_vision / degraded warnings / reconciliation / window coverage)
A.5 auto-arbitration	references/arbitrate.md	when the dual-audit flags un-closed disagreements, the agent auto-decides render/ignore/needs_human (structured only); the CLI materializes → the windows carry the assets
B0 content routing	references/content-routing.md	after reading chapters.json, route each chapter to a content type (理论/方法/案例/参考/观点) → per-chapter ## 路由表 in digest; advisory — deviations written as [routing-deviation] markers (revision evidence for skill-evolve); purpose.md supreme
B+C+D per-window writing	references/write-pages.md	start guard + read chapters.json for whole-book understanding + per-window sub-units U1–U7 + read source images as evidence & re-express natively (never embed) + writing discipline + lint hard rules
E synthesis	references/synthesis.md	incremental overview/topic/comparison/synthesis
F finish	references/finish-lint.md	ingest-done + lint promote/rollback + derived rebuild

8. Failure stops / recovery

Any preprocessing step errors; check-write DENY (out of scope / overwrite protection); lint fails; managed_by: human page conflict; cross-domain promotion candidate; the vault lock is held. Recovery: after an interruption, re-read chapters.json + the digest ## RESUME block, and re-read references/write-pages.md before writing any page — an interrupted session has lost the writing contracts (prose organization, self-test nesting, accounting), and a fresh page's seed scaffold never substitutes for the contract file; then resume from the next unfinished window (pipeline.py next is the machine anchor; next --source <src> --resume-packet hands you the structured RESUME_PACKET — ledger-decided next window + write boundary + digest RESUME + resume-critical excerpt — and fail-closes on a stale RESUME instead of emitting a half-true packet); otherwise auto-advance and report progress.

9. Acceptance criteria

Scope: these are pipeline completion criteria (structure / order / safety / provenance-accounting). Content acceptance is not this session's call: it requires an independent kb-qa content-fidelity pass plus a human decision on its report (references/finish-lint.md); the ingesting session reports "published, pending content acceptance" and never declares acceptance for its own writing.

• Preprocess: workorder.yaml generated; ingest-start took the lock + the stale-registry check passed; for PDFs, source-audit produced reconciliation.json + evidence.json, every dual-audit disagreement was arbitrated + materialized, and strict preflight-eval passes both dual_audit and check_evidence_bundle (the windows carry the source images for arbitrated pages).
• Writing: every page follows check-write → edit (existing-page ALLOW atomically preserves the first baseline; window-done and lint verify it), page_rules self-check 0 violations, every non-source page in a window-done --writes.
• Synthesis (phase E mandatory): overview updated (not a bare link list) + at least one topic/comparison/synthesis, all in --writes; otherwise lint reports L7-synthesis-missing and rolls back.
• Finish: lint passes (promoted into the index), or failures land in Review-Queue/ and the round is rolled back.
• Adoption alternative: dry-run reports byte-zero-write; integrity violations must be zero, while legacy wiki_gate content debt may remain visible as warnings. Apply rebuilds derived artifacts before recording adopted/published, preserves existing knowledge-page bytes, and reports all three ingest-ledger counts as zero. A fully verified exact rerun is a whole-tree byte no-op; later live-page drift is warning-only and leaves the historical manifest/evidence unchanged, while archive/evidence/source/adoption-state drift remains a hard stop.
• Reuse alternative: dry-run is byte-zero-write and proves origin read-only published truth, PDF SHA, every concept/topic page hash, the set-equal exactly-once mapping and the zero-mapping non-attributions. Apply preserves every existing target-page byte, rebuilds derived artifacts before reused/published, and keeps all three ingest ledgers at zero. Exact replay (including from evidence mapping) is whole-tree byte no-op; target live drift is warning-only, while origin/mapping/evidence/source/reuse-state drift is a hard stop.
• Reporting: quote the promoted count from lint separately; use ingest-stats --json page_inventory.total/by_type for the complete delivered inventory — never use pages_estimate as the delivery total.