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infrastructure safe remediation
Safe, multi-step remediation for Docker and Proxmox infrastructure via MCP with mandatory dry runs and verification.
$15
Works with the AI Agents you already use
infrastructure safe remediation
Example session with this skill installed
Restart the 'api-gateway' container on the production-01 server.
- Read your context and instructions
- Compiled the infrastructure safe remediation
I have identified the 'api-gateway' container on production-01. Before proceeding, I have analyzed the dependencies and prepared a safety plan.
Infrastructure Remediation Plan: api-gateway
| Attribute | Details |
|---|---|
| Action | docker_restart |
| Target | api-gateway (ID: 550e8400-e29b) |
| Host | production-01 |
| Blast Radius | Low. Load balancer will retry connections; 3 dependent microservices may see transient 503s. |
| Pre-check Status | Container is currently running but reporting high memory usage. |
| Dry Run Result | docker restart api-gateway - Success simulation complete. |
| Verification | Will check container_status and health_check endpoint post-restart. |
Dry Run Output:
[Dry Run] Successfully simulated restart for container 550e8400-e29b on host production-01.
Estimated downtime: 2.4 seconds.
I am ready to proceed. Please confirm if I should execute the restart for api-gateway on production-01.
Next steps
- Type "Approve" to execute the restart.
- Type "Cancel" to abort the operation.
- Ask for a snapshot instead if this is a Proxmox VM.
Connects securely to your tools. The creator never sees your data.
About this skill
Manual infrastructure changes are prone to human error, forgotten dependencies, and verification gaps. This skill enforces a strict safety protocol for container and VM operations, ensuring every action is planned, previewed, and verified independently. It bridges the gap between raw infrastructure tools and safe operational procedures by requiring explicit approval gates and mandatory dry runs.
What it does
- Enforces safety protocols by requiring dry runs and explicit user approval for every mutation.
- Manages container lifecycle specifically for restarting Docker containers through supported MCP tools.
- Controls Proxmox VMs including start, stop, and snapshot operations with dependency awareness.
- Performs independent verification by checking system state after changes using secondary read-only tools.
- Mitigates blast radius by assessing dependencies and risks before executing any destructive action.
How it works
- Target Discovery: Use read tools to identify the exact container or VM ID and assess its current health.
- Blast Radius Analysis: Identify what depends on the target and propose a rollback plan.
- Dry Run Preview: Execute the tool in dry-run mode to show the user exactly what will happen.
- Human-in-the-loop Approval: Wait for the user to explicitly confirm the target and action details.
- Execution and Audit: Run the confirmed mutation and verify the outcome against the original plan.
Frameworks & tools
This skill requires a connected Infrastructure MCP Server. It works specifically with Docker environments and Proxmox virtualization nodes, leveraging the infrastructure-mcp specification for command execution.
Why this beats prompting it yourself
Standard prompts often execute commands immediately or ignore the verification phase. This skill embeds a rigid state-machine logic that prevents accidental batching, forces pre-execution checks, and ensures you never lose track of system health after a restart.
Use cases
- Restarting a hanging Docker container without impacting linked microservices.
- Safely stopping a Proxmox VM after verifying no critical workloads are active.
- Creating a pre-deployment snapshot on a specific Proxmox node.
- Validating that a VM successfully reached a running state after a cold boot.
Known limitations
Supports only Docker restarts and Proxmox start, stop, and snapshot actions. Requires an active infrastructure-mcp server; it cannot execute raw shell commands or scripts.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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