llms.txt@docsA
llms.txt@docs from alfadur7/llm-wiki-newsroom is an llms.txt file: plain text a project publishes for AI models to read.
mdr add alfadur7/llm-wiki-newsroom/docs/llms.txt@git:20260929.67f0174Pins git:20260929.67f0174 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- llms.txt file
- Repository
- alfadur7/llm-wiki-newsroom
- Path
docs/llms.txt- Versions recorded
- 3
- Latest version
- git:20260929.67f0174, committed Sep 29, 2026
- First version recorded
- Jul 24, 2026
- Size
- 5,515 bytes
- Repository stars
- 172
- License
- MIT
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LLM Wiki Newsroom > Harness engineering applied to knowledge production: a multi-agent "newsroom" on Claude Code that turns a folder of documents into a cross-linked, human-readable markdown wiki. The agent that writes a page is never the one that reviews it; the authoring guidelines evolve themselves; contradictions between sources get their own pages instead of being smoothed over; and published pages come back around as input once they go stale. Local-first (the Python tools need no API keys; the agent itself runs on Claude Code) — a structured, persistent alternative to RAG. It follows Andrej Karpathy's three-layer LLM Wiki pattern: source documents, the agent-built wiki, and the agent's operating rules stay in separate layers. Ingesting one document cascades updates into ~10–15 related pages. The public repository is the idea plus a small 15-node reproducible example (the debate over what "open source" means for AI), not a battle-tested product; the writer-reviewer split and the self-evolving loop are framed as hypotheses the author is measuring, not solved claims. ## The four loops …
Read the whole file at its exact version.
How to install
mdr add alfadur7/llm-wiki-newsroom/docs/llms.txt@sha256:d3f42056b3d91329The line at the top of this page pins the label git:20260929.67f0174, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_lgrsxhcov5q2uuou)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 24, 2026 and Sep 29, 2026, about one every 34 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260929.67f0174 latest | 2026-09-29 | 67f0174 | 5,515 B | A | view · diff |
| git:20260917.8dca065 | 2026-09-17 | 8dca065 | 4,998 B | A | view · diff |
| git:20260724.004a6b0 | 2026-07-24 | 004a6b0 | 4,635 B | A | view |
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (5515 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
alfadur7/llm-wiki-newsroom · 172 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lgrsxhcov5q2uuou GET https://markdownregistry.com/api/v1/resolve?ref=alfadur7/llm-wiki-newsroom/docs/llms.txt GET https://markdownregistry.com/api/v1/blob/d3f42056b3d913290f47becc64134b9990ccbbf7a08ad7c1d748d9a8361d53e0
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: how to add an llms.txt file to a website · which agent file does what.
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