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Zfs

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jmagar
zfs

This skill should be used when managing ZFS pools in a homelab environment with multiple devices. It handles pool health monitoring, snapshot management with Sanoid/Syncoid, automated replication between devices, dataset property optimization, scrub scheduling, and error recovery. Use when the user asks to "check ZFS pool health", "setup ZFS replication", "configure ZFS snapshots", "optimize ZFS performance", "troubleshoot ZFS issues", "schedule ZFS scrubs", "check pool capacity", "setup Sanoid", or mentions ZFS-related tasks. CRITICAL: This skill enforces MANDATORY double confirmation for ALL destructive operations.

Overview

Publisherjmagar
Repositoryclaude-homelab
Skill namezfs
Stars
87
Forks
11
Bundled files
10
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.

  • 10 bundled files

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

  • Open source

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

Installation

Install the Zfs 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.
    https://github.com/jmagar/claude-homelab/tree/main/skills/zfs
  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/jmagar/claude-homelab.git /tmp/claude-homelab
mkdir -p .claude/skills
cp -r /tmp/claude-homelab/skills/zfs .claude/skills/zfs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zfs 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 Zfs 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 Zfs 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.

ZFS Homelab Management

⚠️ MANDATORY SKILL INVOCATION ⚠️

YOU MUST invoke this skill (NOT optional) when the user mentions ANY of these triggers:

  • "check ZFS pool health", "ZFS status", "pool health", "zpool status"
  • "setup ZFS replication", "configure replication", "sync ZFS datasets"
  • "configure ZFS snapshots", "setup Sanoid", "snapshot retention"
  • "optimize ZFS performance", "tune ZFS properties", "ZFS compression"
  • "troubleshoot ZFS", "ZFS errors", "failed replication", "degraded pool"
  • "schedule ZFS scrubs", "setup scrubbing", "monthly scrub"
  • "check pool capacity", "pool space", "ZFS disk usage"
  • Any mention of ZFS, Sanoid, Syncoid, zrepl, raidz1, or ZFS datasets

Failure to invoke this skill when triggers occur violates your operational requirements.

Purpose

Comprehensive ZFS management for homelab environments with multi-device replication, automated snapshot management, performance optimization, and health monitoring.

Read-Write Operations: This skill performs both monitoring (read-only) and management (read-write) operations including:

  • Pool health checks and monitoring
  • Snapshot creation and pruning
  • Dataset replication between devices
  • Property optimization
  • Scrub scheduling

Recommended Architecture: Pull-based replication from centralized backup server to 5 source devices.

Based on research: Synthesized from 130+ URLs, 56,000+ vector database entries, and official OpenZFS/Oracle/FreeBSD documentation.

🚨 DESTRUCTIVE OPERATIONS - CRITICAL SAFETY PROTOCOL

ABSOLUTE REQUIREMENT: NO DESTRUCTIVE COMMANDS WITHOUT EXPLICIT USER AUTHORIZATION AND DOUBLE CONFIRMATION

This section defines the MANDATORY safety protocol that MUST be followed for ALL destructive ZFS operations.

Destructive Command Categories

EXTREMELY DESTRUCTIVE (Permanent Data Loss):

  • zfs destroy - Permanently destroys datasets/snapshots (UNRECOVERABLE)
  • zfs destroy -R - Recursively destroys all snapshots and child datasets (CATASTROPHIC)
  • zpool destroy - Destroys entire pool and all data (CATASTROPHIC)
  • zfs rollback - Rolls back to snapshot, LOSING all intermediate changes (DATA LOSS)
  • zpool labelclear - Removes ZFS labels, makes data inaccessible (DATA LOSS)

HIGHLY DESTRUCTIVE (Configuration/Availability Loss):

  • zpool remove - Removes vdev from pool (CANNOT BE UNDONE)
  • zpool detach - Detaches mirror device (removes redundancy)
  • zpool offline - Takes disk offline (reduces pool availability)
  • zpool replace - Replaces disk in pool (requires resilver)
  • zpool clear - Clears pool errors (can mask real problems)

MODERATELY DESTRUCTIVE (Cleanup Operations):

  • sanoid --prune-snapshots - Deletes old snapshots per retention policy
  • syncoid --no-sync-snap - Deletes snapshots on destination
  • zpool scrub -s - Stops in-progress scrub (interrupts data verification)

POTENTIALLY IRREVERSIBLE (Property Changes):

  • zfs set recordsize= - CANNOT be changed efficiently on existing data
  • zfs set compression= - Only affects new data, not existing
  • zfs inherit - Resets properties to inherited values (loses custom settings)

MANDATORY CONFIRMATION PROTOCOL

YOU MUST FOLLOW THIS PROTOCOL FOR ALL DESTRUCTIVE OPERATIONS:

  1. User Request Required - NEVER suggest or execute destructive commands unprompted
  2. Explicit Command Presentation - Show the EXACT command that will be executed
  3. Impact Explanation - Clearly explain what will be destroyed/lost/changed
  4. Backup Verification - Confirm backups exist before proceeding
  5. Double Confirmation - Require user to confirm TWICE:
    • First: "Do you want to execute this destructive operation?"
    • Second: "Are you absolutely sure? This cannot be undone."
  6. Dry-Run When Possible - Use --dry-run or -n flags if available
  7. Manual Execution Only - Provide command for user to run manually, DO NOT execute automatically

Safety Examples

WRONG - NEVER DO THIS:

markdown
User: "I have too many snapshots"
Assistant: "Let me clean those up for you."
[Executes: sanoid --prune-snapshots]  ❌ NO CONFIRMATION

CORRECT - ALWAYS DO THIS:

markdown
User: "I have too many snapshots"
Assistant: "I can help you prune old snapshots. First, let me check what would be deleted:

Command: sanoid --prune-snapshots --verbose --dry-run

This will show which snapshots would be removed based on your retention policy in /etc/sanoid/sanoid.conf.

⚠️ WARNING: This is a DESTRUCTIVE operation. Deleted snapshots cannot be recovered.

Before proceeding:
1. Have you verified your retention policy is correct?
2. Do you have backups of critical data?
3. Are you sure you want to permanently delete old snapshots?

If yes, I'll provide the command for you to run manually."

[User confirms twice]

Assistant: "Here is the command to run manually:

```bash
sudo sanoid --prune-snapshots --verbose

⚠️ FINAL WARNING: This will PERMANENTLY DELETE old snapshots. Are you absolutely sure?"

[User confirms a second time: "Yes, delete them"]

Assistant: "Understood. Please run the command above. I cannot execute destructive operations automatically."


### Safe Operations (No Confirmation Needed)

These operations are read-only and safe to execute:
- `./scripts/pool-health.sh` - Pool health checks
- `zpool status` - View pool status
- `zfs list` - List datasets/snapshots
- `zpool list` - List pools
- `zfs get all` - View properties
- `sanoid --verbose --dry-run` - Preview snapshot operations
- `syncoid --dry-run` - Preview replication

## Setup

This skill uses ZFS commands directly and does not require additional credentials beyond SSH access for remote replication.

**Required for remote replication:**

Remote replication requires passwordless SSH authentication between the backup server and source devices. This allows Syncoid to pull snapshots automatically without manual intervention.

1. **SSH keys configured** (passwordless authentication):
   ```bash
   # Generate SSH key on backup server
   ssh-keygen -t ed25519 -C "zfs-replication"

   # Copy to each source device
   ssh-copy-id user@device1
   ssh-copy-id user@device2
   # ... repeat for all devices

   # Test connectivity
   ssh user@device1 echo "SSH working"
  1. ZFS delegation (for non-root replication):

    bash
    # On backup server
    zfs allow -u replication-user create,mount,receive backup/device1
  2. Sanoid/Syncoid installed (for automation):

    bash
    sudo apt install sanoid  # Debian/Ubuntu
    sudo pkg install sanoid  # FreeBSD

See README.md for detailed setup instructions.

Commands

Pool Health Check

bash
# Check all pools
./scripts/pool-health.sh

# Check specific pool
./scripts/pool-health.sh tank

# JSON output for monitoring
./scripts/pool-health.sh --json

Snapshot Management (Sanoid)

bash
# Configure Sanoid
cp assets/sanoid.conf.template /etc/sanoid/sanoid.conf
sudo nano /etc/sanoid/sanoid.conf

# Manual snapshot
sudo sanoid --take-snapshots --verbose

# Manual prune
sudo sanoid --prune-snapshots --verbose

# List snapshots
zfs list -t snapshot

Replication Setup (Syncoid)

bash
# Manual replication (pull-based)
syncoid --recursive user@device1:tank backup/device1

# With options
syncoid \
  --recursive \
  --no-privilege-elevation \
  --identifier=device1 \
  --compress=zstd-fast \
  user@device1:tank backup/device1

Property Optimization

bash
# Enable compression (always)
zfs set compression=lz4 pool/dataset

# Disable atime
zfs set atime=off pool/dataset

# Tune recordsize (workload-specific)
zfs set recordsize=8K pool/databases     # Databases
zfs set recordsize=1M pool/media         # Large files
zfs set recordsize=128K pool/data        # Default

Scrub Scheduling

bash
# Manual scrub
zpool scrub poolname

# Check scrub status
zpool status poolname

# Pause scrub
zpool scrub -p poolname

# Add to cron (monthly)
0 2 * * 0 [ $(date +\%d) -le 7 ] && /usr/sbin/zpool scrub tank

Workflow

When user asks about ZFS pool health:

  1. "Check my ZFS pools" → Run ./scripts/pool-health.sh
  2. "Is my pool degraded?" → Run zpool status -v poolname
  3. "When was the last scrub?" → Check pool health script output
  4. "Pool capacity warnings" → Check capacity (warn at 70%, critical at 80%)

When user asks about ZFS replication:

  1. "Setup replication from 5 devices" → Configure pull-based syncoid jobs with staggered scheduling
  2. "Replicate device1 now" → Run syncoid command
  3. "Failed replication" → Check for resume tokens, consult troubleshooting guide
  4. "Check replication status" → Review logs: grep syncoid /var/log/syslog | tail -20

When user asks about snapshots:

  1. "Setup automated snapshots" → Copy sanoid.conf template, configure retention policy, add to cron
  2. "List snapshots" → Run zfs list -t snapshot (SAFE - read-only)
  3. "Restore from snapshot" → ⚠️ DESTRUCTIVE - Use zfs rollback or zfs clone (REQUIRES DOUBLE CONFIRMATION)
  4. "Too many snapshots" → ⚠️ DESTRUCTIVE - Run sanoid --prune-snapshots (REQUIRES DOUBLE CONFIRMATION, use --dry-run first)

When user asks about performance:

  1. "Optimize ZFS" → Check compression, atime, recordsize settings
  2. "Slow writes" → Check capacity (>80% impacts performance), consider adding SLOG
  3. "Tune for databases" → Set recordsize=8K, enable lz4 compression

Detailed Flow for Multi-Device Replication Setup

  1. Install Sanoid on all 5 devices + backup server
  2. Configure short retention on sources (24 hourly only)
  3. Configure pull-based syncoid on backup server:
    • Stagger devices by 15-20 minutes
    • Use --identifier flag per device
    • Enable compression with --compress=zstd-fast
  4. Setup ZFS delegation for non-root operation
  5. Add to cron with staggered schedule
  6. Test manual run before enabling automation

References

scripts/

scripts/pool-health.sh - Comprehensive pool health checker with JSON output support. Checks state, capacity, scrub status, and generates alerts.

references/

references/command-reference.md - Complete ZFS command syntax reference for zpool, zfs, sanoid, and syncoid commands with parameters and examples.

references/quick-reference.md - Quick command cheatsheet for common ZFS operations.

references/troubleshooting.md - Comprehensive troubleshooting guide covering:

  • Common replication failures (network, space, permissions, conflicts)
  • Pool health issues (degraded pools, high capacity, scrub errors)
  • Performance problems (slow writes/reads)
  • SSH/network issues
  • Recovery procedures
  • Decision trees for diagnostics

Load this reference when user encounters errors or requests troubleshooting assistance.

assets/

assets/sanoid.conf.template - Sanoid configuration template with homelab-optimized retention policies ready to copy to /etc/sanoid/sanoid.conf.

Notes

🚨 CRITICAL SAFETY REMINDER

ALL DESTRUCTIVE COMMANDS REQUIRE:

  1. Explicit user request
  2. Exact command shown to user
  3. Impact explanation
  4. First confirmation
  5. Second confirmation
  6. Manual execution (commands provided to user, NEVER auto-executed)

NEVER execute these commands automatically:

  • zfs destroy - Permanent data loss
  • zpool destroy - Catastrophic data loss
  • zfs rollback - Loses intermediate changes
  • sanoid --prune-snapshots - Deletes snapshots permanently
  • Any command that modifies, removes, or destroys data

See "🚨 DESTRUCTIVE OPERATIONS - CRITICAL SAFETY PROTOCOL" section above for complete details.

RAIDZ1 Critical Warnings

  • Single parity - Can tolerate only 1 disk failure
  • Two disk failures = complete data loss
  • Monitor SMART data aggressively
  • Monthly scrubs MANDATORY for data integrity
  • Consider migrating to RAIDZ2 for critical data

Pool Capacity Thresholds

  • <70%: Optimal performance
  • 70%: Warning (performance may degrade)
  • 80%: Critical (fragmentation increases)
  • 90%: Emergency (severe write degradation)
  • >95%: Risk of pool exhaustion

Important Concepts

  • Backup does NOT replace scrubbing - Both are required
  • Set recordsize BEFORE writing data - Cannot change efficiently after
  • NEVER enable dedup in homelab - Requires 5GB RAM per TB
  • LZ4 compression is always beneficial - Minimal overhead, often improves performance

Security Considerations

For production deployments:

  • Use dedicated replication user (not root)
  • Implement SSH key restrictions
  • Use ZFS delegation for non-root replication
  • Firewall rules limiting SSH to backup server IP

Reference

Official Documentation:

Automation Tools:

Additional Resources:

  • references/command-reference.md - Complete ZFS command syntax
  • references/quick-reference.md - Quick command cheatsheet
  • references/troubleshooting.md - Detailed troubleshooting guide

🔧 Agent Tool Usage Requirements

CRITICAL: When invoking scripts from this skill via the zsh-tool, ALWAYS use pty: true.

Without PTY mode, command output will not be visible even though commands execute successfully.

Correct invocation pattern:

typescript
<invoke name="mcp__plugin_zsh-tool_zsh-tool__zsh">
<parameter name="command">./skills/zfs/scripts/pool-health.sh [args]</parameter>
<parameter name="pty">true</parameter>
</invoke>

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 Zfs AI skill do?

This skill should be used when managing ZFS pools in a homelab environment with multiple devices. It handles pool health monitoring, snapshot management with Sanoid/Syncoid, automated replication between devices, dataset property optimization, scrub scheduling, and error recovery. Use when the user asks to "check ZFS pool health", "setup ZFS replication", "configure ZFS snapshots", "optimize ZFS performance", "troubleshoot ZFS issues", "schedule ZFS scrubs", "check pool capacity", "setup Sanoid", or mentions ZFS-related tasks. CRITICAL: This skill enforces MANDATORY double confirmation for...

Why use Zfs on TypingMind?

Because you install it once and use it with any model. Zfs 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 Zfs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagar/claude-homelab/tree/main/skills/zfs. 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 Zfs?

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 Zfs?

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

Is the Zfs AI skill free?

Yes. It is published on GitHub by jmagar 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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