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Vault

Community
glebis
vault

Set up and verify the CONFIDE THREE LOCKS for storing RED (real, identifiable) session data at rest — device FileVault, a dedicated encrypted store, and per-file sops/age encryption. Use when the user says "set up confide vault", "encrypt my session data", "three locks", "secure store for transcripts", "sops/age for RED data", or asks how to store real therapy/coaching transcripts safely. NON-DESTRUCTIVE: it CHECKS each lock's status and prints the EXACT command to fix any gap; it never moves, deletes, or encrypts data, and never runs `fdesetup enable`/`hdiutil`/`age-keygen` without an explicit flag and your confirmation. Probes are read-only (`fdesetup status`, which sops/age, key path).

Overview

Publisherglebis
Repositoryclaude-skills
Skill namevault
Stars
379
Forks
56
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by glebis on GitHub. Read the source before you install it.

Installation

Install the Vault AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/glebis/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/confide/skills/vault .claude/skills/vault
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vault in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vault on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vault is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

confide:vault — the THREE LOCKS for storing RED data

Operationalizes the defense-in-depth storage posture in confide/docs/THREE-LOCKS.md: real (RED) transcripts rest behind three independent locks, so compromising one does not expose a client. To read a real transcript an attacker needs the device password AND the encrypted-store password AND the age key — three separate secrets, ideally held in different places.

LockWhatProtects against
1 — DeviceFileVault full-disk encryption + strong login password + short auto-locka lost/stolen/USB-booted machine
2 — StoreRED in a dedicated ENCRYPTED store (encrypted APFS volume / AES-256 .dmg), NOT in Documents and NEVER in iCloud/Dropboxother apps, other users, silent cloud sync
3 — Per-fileeach RED file sops/age-encrypted at rest, age key stored SEPARATELY; processing in a no-network VM/containerfiles individually sealed; key not beside the data

NON-DESTRUCTIVE — read before running

  • --check (the default) runs only read-only probes: fdesetup status, shutil.which(sops/age), and os.path.exists(...). It never moves, deletes, or encrypts data and never runs fdesetup enable, hdiutil, age-keygen, or rm.
  • It reports each lock ✓/✗ and prints the exact command to fix every ✗ — for the user to review and run themselves.
  • --init-age generates an age key only with that explicit flag, and never overwrites an existing key.
  • --init-store PATH only prints the encrypted-store creation command; it does not execute disk-image creation. Refuses cloud-synced paths.
  • Never move, encrypt, or delete the user's RED data on their behalf without explicit confirmation. There is no destructive default.

Run it

bash
# default = read-only status check + checklist with fix commands
python3 skills/vault/scripts/vault.py --check
python3 skills/vault/scripts/vault.py --json            # structured status dict

# point at your own RED store to verify it's not cloud-synced
python3 skills/vault/scripts/vault.py --store-path ~/CONFIDE-RED.dmg

# optional, GUARDED helpers (explicit flags only)
python3 skills/vault/scripts/vault.py --init-age        # make an age key (never overwrites)
python3 skills/vault/scripts/vault.py --init-store ~/CONFIDE-RED.dmg   # prints the hdiutil command

lock_status() is importable and returns:

{
  "device":  {"filevault": bool},
  "store":   {"present": bool, "path": str|None, "cloud_synced": bool, "safe": bool},
  "perfile": {"sops": bool, "age": bool, "key": bool, "key_path": str|None}
}

How to help the user

  1. Run --check and read back the ✓/✗ checklist.
  2. For each ✗, show the printed fix command (e.g. sudo fdesetup enable, age-keygen -o ~/.config/confide/age.key, hdiutil create -encryption AES-256 … ~/CONFIDE-RED.dmg) and let the user run it.
  3. Confirm the RED store is not inside iCloud/Dropbox (store.safe).
  4. Show the sops/age encrypt+decrypt recipe (printed in the checklist) so RED stays ciphertext at rest and is decrypted only in-memory inside the isolated pipeline (confide/docs/ISOLATION.md). Only GREEN (redacted) output ever leaves the machine.

See confide/docs/THREE-LOCKS.md (the model + checklist) and confide/docs/ISOLATION.md (red/green flow, no-network VM/container).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Vault AI skill do?

Set up and verify the CONFIDE THREE LOCKS for storing RED (real, identifiable) session data at rest — device FileVault, a dedicated encrypted store, and per-file sops/age encryption. Use when the user says "set up confide vault", "encrypt my session data", "three locks", "secure store for transcripts", "sops/age for RED data", or asks how to store real therapy/coaching transcripts safely. NON-DESTRUCTIVE: it CHECKS each lock's status and prints the EXACT command to fix any gap; it never moves, deletes, or encrypts data, and never runs `fdesetup enable`/`hdiutil`/`age-keygen` without an expl...

Why use Vault on TypingMind?

Because you install it once and use it with any model. Vault is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vault in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glebis/claude-skills/tree/main/confide/skills/vault. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Vault?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vault?

As many as you like. As long as a model supports skills, you can use Vault with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vault AI skill free?

Yes. It is published on GitHub by glebis under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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