llms.txtA
llms.txt from fellowship-dev/navvi is an llms.txt file: plain text a project publishes for AI models to read.
mdr add fellowship-dev/navvi/llms.txt@git:20260930.6755e4ePins git:20260930.6755e4e in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- llms.txt file
- Repository
- fellowship-dev/navvi
- Path
llms.txt- Versions recorded
- 5
- Latest version
- git:20260930.6755e4e, committed Sep 30, 2026
- First version recorded
- Sep 23, 2026
- Size
- 2,899 bytes
- Repository stars
- 10
- 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
# Navvi > Give it to your agent, get a scraper you can run forever. `npx navvi "<prompt>" <url...>` compiles a plain-words request into JSON records and a reusable scraper file: code enumerates candidates on the page (declared JSON-LD/meta, the page's own JSON payloads, then DOM elements) and a model only picks among them — with Jev (TypeSafe) those picks are typed and cheap: on the same 19 real questions, 3.6x faster than Claude Haiku over the API and 8-11x faster than Haiku through Claude Code. Re-runs replay the scraper with zero model calls and heal a moved field instead of failing. Add `--work <dir>` to keep every compile step as a readable, editable file; `navvi make` is the same pipeline as a resumable driver. With no key, a signed-in Claude Code or Codex answers on your subscription, or the host coding agent answers over stdio. ## Start here - [SKILL.md](SKILL.md): the agent skill. The one command, `--work`, the no-key question protocol on stdio, the file-and-resume path (exit 3), choosers, input contract, output shape, exit codes and limits. - [README: Install](README.md#install): from zero to records in three lines. …
Read the whole file at its exact version.
How to install
mdr add fellowship-dev/navvi/llms.txt@sha256:12fc27796ae06ea2The line at the top of this page pins the label git:20260930.6755e4e, 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_5imhyqgqcgagmkll)
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Versions
The registry has recorded 5 versions of this file, between Sep 23, 2026 and Sep 30, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260930.6755e4e latest | 2026-09-30 | 6755e4e | 2,899 B | A | view · diff |
| git:20260924.37e3278 | 2026-09-24 | 37e3278 | 2,498 B | A | view · diff |
| git:20260924.bc1a049 | 2026-09-24 | bc1a049 | 2,495 B | A | view · diff |
| git:20260924.5e541f3 | 2026-09-24 | 5e541f3 | 2,383 B | A | view · diff |
| git:20260923.08f4893 | 2026-09-23 | 08f4893 | 3,030 B | A | view |
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (2899 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
fellowship-dev/navvi · 10 stars · license MIT · pushed 2026-10-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5imhyqgqcgagmkll GET https://markdownregistry.com/api/v1/resolve?ref=fellowship-dev/navvi/llms.txt GET https://markdownregistry.com/api/v1/blob/12fc27796ae06ea244a26e7132fa820a8e5d934e73827692049e127728642bdb
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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