Borrowing it
Nothing to install: this file belongs to alfadur7/llm-wiki-newsroom. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/alfadur7/llm-wiki-newsroom/main/.claude/commands/wiki-ingest.mdgit clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroomWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/alfadur7/llm-wiki-newsroom/wiki-ingest)<a href="https://agentmods.dev/commands/alfadur7/llm-wiki-newsroom/wiki-ingest"><img src="https://agentmods.dev/badge/commands/alfadur7/llm-wiki-newsroom/wiki-ingest/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/alfadur7/llm-wiki-newsroom/wiki-ingest"><img src="https://agentmods.dev/badge/commands/alfadur7/llm-wiki-newsroom/wiki-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.03827 |
| Opus 5.5 | $0.00000 | $0.01531 |
| Sonnet 5.5 | $0.00000 | $0.00765 |
| Haiku 4.5 | $0.00000 | $0.00383 |
Grade A, and why
wiki-ingest scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ingest a source document into the LLM Wiki.
Usage: /wiki-ingest <file|folder|inbox> — required argument
If $ARGUMENTS is empty: print the usage below and stop.
Usage: /wiki-ingest <file|folder path | inbox>
Examples:
/wiki-ingest raw/articles/my-article.md # single md
/wiki-ingest raw/NewsScrap # HTML article folder
/wiki-ingest raw/PDF # PDF folder
/wiki-ingest inbox # process the mobile share-sheet URL queue
Traversal Pattern
L2-1 source + L2-2 stub cycle + Meta (full rebuild) — Writing-driven, tightly coupled. The Reporter performs the raw → structured conversion end to end.
| Phase | Cycle | Owner |
|---|---|---|
| Prefilter dedup | (deterministic) | Editor-in-Chief → tools/_ingest/prefilter_ingest.py or _source_map.json matching |
| Pre-fanout wiki read | GROUND common | Editor-in-Chief (Read index.md·overview.md — shared sub-agent context) |
| Source page authoring | L2-1 GROUND·APPLY | Reporter (mode=apply; read body + claim atomization + citation type prefix + grade) |
| Stub creation/update | L2-2 GROUND·APPLY | Reporter (mode=apply; auto-generate entity·concept stubs — body ≥200 chars, 2 H2 required) |
| Person incumbency check | GROUND external | Reporter (mode=ground, WebSearch) |
| Source verification (1st) | VERIFY₁ | Reporter self (right after authoring, confirm python tools/lint.py source <slug> PASS — self-ADAPT on FAIL) |
| Source verification (2nd, sub-trigger) | VERIFY₂ | Editor-in-Chief — invoke the Desk on sources meeting [fact]≥7 AND citations≥3 (based on the tools/_lint/source.py Advisory auto-surface, batched at the post-fanout stage). SoT: agents/desk.md L2-1 source VERIFY₂. |
| Hub verification (1st) | VERIFY | Reporter (single-source stub during fanout) · Editor-in-Chief (post-fanout cross-source stub) — python tools/lint.py hub schema + hub body, corpus-wide, so confirm 0 items naming the file written |
| Cascade update | (deterministic) | Editor-in-Chief → tools/build.py (graph → clusters → contradictions → index → dependencies) + hub sources: sync |
| Batch verification (full) | VERIFY | Editor-in-Chief — after contradiction consolidation (§ Parallel Batch chain · 12-step 11) python tools/build.py + python tools/lint.py all groups rc=0 (deterministic check, so done directly by main — the deliberate lint cycle that needs lint-report.md output is delegated to the Copy Editor = /wiki-lint) |
| Log append + defect logging | — | Editor-in-Chief (log.md append + batch this cycle's lint FAILs and Desk-actionable defects → tools/log_defect.py corpus). SoT: agents/editor-in-chief.md self-evolution automatic channel |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago Changed · -1 lines d71d06b82751
- 22d ago Changed 508af3fb63d5
- 1mo ago Changed · +3 lines ffdc361dd8b7
- 1mo ago Changed 665689f57363
- 1mo ago First seen · 107 lines · 0 tokens per session scan A e7d0ef95471b
wiki-ingest is a command published in the GitHub repository alfadur7/llm-wiki-newsroom (173 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,827 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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