| name | wiki-ingest |
| description | Ingest a source into the LLM wiki, or re-audit a past ingest. Use when the user asks to ingest a source ("ingest the source at raw/foo.pdf", "/wiki-ingest raw/foo.md", "add this paper to the wiki") or to audit a past ingest ("/wiki-ingest --audit-only <source>", "audit the Williamson ingest", "what did we miss in <source>?"). You compose wiki-ops primitives plus precheck, extraction, and audit judgment. The agent decides the order; common compositions are examples. Does not commit to git; the human reviews first. |
wiki-ingest
You are integrating a new source into the wiki, or re-auditing a past ingest. The vault root has a CLAUDE.md that describes the schema; this skill describes how to ingest.
Three principles underlie the work:
- Capabilities, not pipelines. You compose building blocks based on what the source and the wiki state demand; a fixed sequence assumes every source is like every other one.
- Epistemic integrity. Every claim the extractor writes is typed (
[!source], [!analysis], [!unverified], [!gap]); promoting inference to sourced fact poisons everything built on it.
- Human as editor-in-chief. You propose; the human reviews and commits.
You have deterministic primitives plus judgment-heavy blocks. Compose them. The principles below describe when and why each applies; the common compositions describe typical paths, not a mandatory pipeline. The agent decides the order.
Building blocks
stage — Ensure the source is in raw/ and has a markdown form the extractor can read.
Use the capability command:
python3 scripts/wiki-ops.py stage-source <path>
Read the JSON. It returns raw_path (the original artifact), source_md_path (the markdown form), source_kind, converted, and warnings. If the source is already under raw/, it stays there. If the user gave a markdown or PDF path outside raw/, the command copies it into raw/ without deleting or modifying the original. For PDFs, it writes a converted .md sibling when pymupdf4llm is installed; if conversion support is missing, stop and surface the command error.
status — Classify the staged raw source before write-heavy work.
python3 scripts/wiki-ops.py source-status <raw-path>
Read the JSON status:
- new — no existing source-summary; proceed to full ingest.
- match — source unchanged since last ingest; skip extract, run audit against existing pages.
- drift — source has changed since last ingest; stop and ask the human whether to refresh affected pages or treat as a new source. Never silently overwrite.
- ambiguous — multiple source summaries claim the same raw path; stop and ask the human which source-summary, if any, is authoritative.
scope — Find pages affected by a source-summary.
python3 scripts/wiki-ops.py affected-pages <source-summary>
The <source-summary> argument may be a path, page stem, or wikilink. Use knowledge_pages as the audit or refresh scope. meta_pages are reported separately; treat them as surfaces to update after content changes, not pages the auditor should score as source extraction.
manifest — Preserve operation state when it helps review or handoff.
python3 scripts/wiki-ops.py manifest new <raw-path>
python3 scripts/wiki-ops.py manifest show <manifest-path>
Use a manifest for non-trivial ingests, drift decisions, long sessions, or handoff-prone work. It is a reviewable record under wiki/.ops/, not a workflow engine. If you maintain it during the session, keep fields like precheck_summary, planned_pages, touched_pages, auditor_report, and deferred_items factual.
precheck — Read CLAUDE.md, purpose.md, wiki/dashboard.md, wiki/handoff.md, and the source end to end. If purpose.md is empty (placeholder only), note that — the extractor won't get research-direction steering. The dashboard and handoff tell you what the current entry points and active state are; they can change which overlaps matter. Search wiki/ for entities and concepts that overlap (obsidian search query="..." path=wiki preferred; grep -ri "..." wiki/ fallback). Present to the human, before any page writes:
- Citation — author(s), year, title, venue.
- Key takeaways — 4-8 substantive claims you'd extract.
- Planned new pages — under
sources/, entities/, concepts/, comparisons/. Filename in Title Case matching the wikilink; one line on what each covers.
- Existing pages to update — each overlapping page and what you'd add.
- Potential contradictions — source vs. wiki; internal source contradictions.
End with "Proceed?". Skip in batch mode (when the user has said "skip the pre-check from now on" or similar).
extract (subagent: wiki-extractor) — Invoke with source_md_path, raw_path, raw_hash, today_iso, purpose_md contents, and the approved plan (the pre-check structure, condensed). Wait for the structured report: pages_created, pages_updated, index_rebuilt, log_entry, synthesis_changed, surprises, unresolved_during_extraction.
audit (subagent: wiki-auditor) — Invoke independently. Pass no extractor reasoning. The auditor reads the source fresh against the pages; that independence is the point.
Pass: source_md_path, source_summary_path, pages_created (paths), pages_updated (paths plus what_changed summary), today_iso. For audit-only, derive pages_created from affected-pages knowledge_pages (see composition below).
append-audit — Safely append or replace the extraction coverage callout.
python3 scripts/wiki-ops.py append-audit <source-summary> <audit-report.md>
python3 scripts/wiki-ops.py append-audit <source-summary> -
The command adds or replaces the [!gap] Extraction coverage of this ingest callout, preserves surrounding non-audit content, and updates the source-summary updated: date. If the human wants old audit history preserved, copy the prior audit into a separate decision or handoff note before running the command; do not stack stale extraction coverage callouts on the source-summary.
Principles
Stage before you read. Sources come in many formats. The markdown form is what extract and audit read; the original is what source-status fingerprints.
Classify before you write. Match means skip extract. Drift and ambiguous matches mean stop and ask. A re-ingest that silently overwrites conflates "source updated" with "extraction refined."
Pre-check before the human approves. Page writes are expensive to unwind, so the pre-check is the human's only checkpoint before wiki state changes shape. Batch mode is the exception, calibrated after a history of reviewed ingests.
Extract once, audit independently. The auditor gets file paths and a date, nothing else. Independence is what lets the audit catch gaps the extractor would have rationalized.
Never fix gaps inline. The skill produces pages plus a gap callout. It does not produce fixed pages. Do not backfill missing pages, revise flagged [!source] claims, or edit existing pages in response to the gap list. Mixing extraction with repair obscures what was changed when, which makes root-cause analysis impossible on bad ingests. Use /wiki-repair for scoped corrective follow-up; use later ingests when the source itself changed.
Exception: attribution-mismatch findings — actual misattributions ([!source] callouts the source doesn't support, overstated paraphrases, reconstructed figures mislabeled as [!source]) — surface prominently. The human decides whether to fix them immediately via /wiki-repair or file them as known errors.
Exception to the exception: on a drift refresh, if the extractor is rewriting a block the prior audit flagged (scope-drift, attribution-mismatch), fix it as part of the rewrite. A block already in the edit path is the right moment to restore a missing scope qualifier or split a stitched quote. A gap "passively preserved" becomes a fresh extraction choice once the block is rewritten without addressing it.
Don't commit, don't lint, don't chain ingests. One source per invocation. The human reviews and commits — without the review gate, errors in one ingest propagate into the next via updated cross-references and a revised synthesis. Corrections file to the conventions files: domain-general patterns to CLAUDE.md "Wiki Conventions (Domain-General)", domain-specific patterns to wiki/conventions.md.
Reading the invocation
The user's phrasing signals which composition applies:
- "/wiki-ingest " or "add this paper" → new, unchanged, drifted, or ambiguous source;
source-status decides which.
- "/wiki-ingest --audit-only ", "audit the X ingest", "what did we miss in X?" → audit-only.
- Vague reference (e.g., "the Williamson paper") → search
wiki/sources/ and confirm with the human before proceeding.
If no source path is given, ask. Do not invent.
Common compositions
New source. stage-source → source-status (new) → optional manifest → precheck → (human approves) → extract → (if surprises, pause and surface) → audit → append-audit → summarize.
Unchanged source (re-ingest). stage-source → source-status (match) → tell the user why extract is skipped (source unchanged; re-extracting would duplicate work) → affected-pages → audit → append-audit → summarize.
Drifted source. stage-source → source-status (drift) → affected-pages for review scope → stop. Ask the human: refresh affected pages (re-extract over the existing pages) or treat as a new source?
Ambiguous source status. stage-source → source-status (ambiguous) → stop. Surface the claiming source-summary paths and ask the human which record is authoritative before extract, audit, or repair.
Audit-only. Locate the source-summary (search wiki/sources/ on a vague reference; confirm with the user if multiple match). Read its raw_path, then run source-status <raw_path>. A status other than match means the source has drifted or the provenance record is ambiguous; stop and recommend full re-ingest or human resolution. Do not audit, because the gap list would conflate "we missed this" with "this didn't exist at ingest." If the raw is a PDF and the converted .md sibling is missing, run stage-source <raw_path> to regenerate it. Find all linked pages:
python3 scripts/wiki-ops.py affected-pages <source-summary>
Pass knowledge_pages as pages_created to the auditor, pages_updated = []. The auditor doesn't care whether pages came from the original ingest or were added later. audit → append-audit → summarize.
Extractor surprises. Pause between extract and audit. Surface the surprises to the human (e.g., an entity already existed that the plan missed). Ask whether to proceed.
What counts as done
A summary to the user:
- Source path and
raw_hash.
- (Full ingest) Pages created, pages updated, index rebuild/log/synthesis updates confirmed.
- (Full ingest) Surface artifacts updated when relevant:
wiki/dashboard.md for recent activity or priority routes, wiki/debates.md for disagreements, and wiki/backlog.md for gaps that deserve session-level triage.
- (Audit-only) Number of linked pages audited; whether this superseded a prior audit.
- Auditor's gap report inline, so the human can triage in place.
- (Full ingest) Extractor
surprises and unresolved_during_extraction highlighted separately.
- A reminder to commit when ready. Do not auto-commit.
After the summary, append an entry to wiki/handoff.md capturing what
was ingested, anything left in flight (e.g., audit gaps the human will
triage later), and notes a future session needs. If the ingest forced
a non-obvious structural choice (page split, callout type chosen on a
judgment call, alias rules, scope decisions), append a one-paragraph
rationale to wiki/decisions.md. Skip both for trivial re-audits with
no findings.
Error handling
pymupdf4llm not installed. stage-source returns pdf_conversion_unavailable. Stop, tell the user to run python3 -m pip install -r requirements.txt.- Hash mismatch on audit-only. Source has drifted since ingestion. Stop; recommend full re-ingest. Do not audit.
- Attribution-mismatch anomalies. Potential extraction errors, not extraction gaps. Surface prominently.
What this skill does NOT do
- Commit to git. The human reviews and commits.
- Run
/wiki-lint. Lint is a separate operation.
- Modify
CLAUDE.md, purpose.md, writing-style.md, or anything in raw/ except through stage-source staging/conversion.
- Bulk-ingest. One source per invocation. Long sources are split into chapters/sections by the user; each chunk is a separate invocation.
