Home / benderterminal / zkettle · GitHub

llms.txtA

llms.txt from benderterminal/zkettle is an llms.txt file: plain text a project publishes for AI models to read.

Install it, pinned
mdr add benderterminal/zkettle/llms.txt@git:20260224.7f69fa8

Pins git:20260224.7f69fa8 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 14 of 14 checks passed
Kind
llms.txt file
Repository
benderterminal/zkettle
Path
llms.txt
Versions recorded
1
Latest version
git:20260224.7f69fa8, committed Feb 24, 2026
Size
3,000 bytes
Repository stars
3
License
AGPL-3.0

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

# zKettle — Full LLM Context

zKettle is a self-hosted secret sharing tool for humans and AI agents.

It is designed for secure, temporary transmission of sensitive values (passwords, API keys, tokens, certificates, recovery codes), not long-term secret storage.

## Product summary

zKettle encrypts secrets client-side using AES-256-GCM before upload. The server stores ciphertext + metadata only. Decryption keys stay in URL fragments (`#key`) and are never transmitted to the server in HTTP requests.

Secrets can self-destruct based on:
- maximum views
- expiry time (TTL)

Each created secret may include a revoke/delete token for immediate invalidation.

## Core capabilities

- Create one-time and expiring secret links
- Read/decrypt secret payloads with full URL (including fragment key)
- Revoke secrets before expiry
- List active secrets metadata (local/admin contexts)
- Generate random high-entropy secrets
- Use via:
  - CLI
  - Web UI
  - MCP tools for agent workflows

## Security model

1. Client-side encryption
   - plaintext encrypted before it leaves client
   - algorithm: AES-256-GCM

2. Zero-knowledge server design
   - server stores ciphertext and metadata only
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add benderterminal/zkettle/llms.txt@sha256:4099834645637779

The line at the top of this page pins the label git:20260224.7f69fa8, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_p4sqdq7ixswel2xj.svg)](https://markdownregistry.com/a/art_p4sqdq7ixswel2xj)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Feb 24, 2026.

versioncommittedcommitsizeaudit
git:20260224.7f69fa8 latest2026-02-24 7f69fa8 3,000 BA view

Audit of the latest version

A  14 of 14 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Size between 200 bytes and 200 KB (3000 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

GitHub

benderterminal/zkettle · 3 stars · license AGPL-3.0 · pushed 2026-10-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_p4sqdq7ixswel2xj
GET https://markdownregistry.com/api/v1/resolve?ref=benderterminal/zkettle/llms.txt
GET https://markdownregistry.com/api/v1/blob/409983464563777947220ae0653240e16d0fea4bfb5555ee759e19ccf2f26b1f

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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