Medium Risk

vigil_save

Create a named checkpoint of the entire project. Runs in background — returns immediately. If slots are full, DO NOT auto-retry — ask the user whether to delete an existing checkpoint or increase capacity.

How to control vigil_save ↓

What vigil_save does on Claude Vigil

AI agents use vigil_save to create or update resources in Claude Vigil — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude Vigil environment.

Medium Risk

Why vigil_save needs a policy

vigil_save creates and persists project snapshots, modifying the checkpoint store. It is reversible (checkpoints can be deleted), so it falls under Write rather than Destructive. The sibling tool vigil_delete handles irreversible removal.

From the tool's definition Creates a named checkpoint of the entire project. This is a write operation that creates new data (snapshots) reversibly—checkpoints can be deleted or overwritten per the description's mention of slot management and deletion options.

Risk signalsBulk/mass operation — affects multiple targets

Documented attack patterns abuse exactly the kind of access vigil_save gives an agent:

How to control vigil_save

PolicyLayer is an MCP gateway — it sits between your AI agents and Claude Vigil, and nothing reaches the server without passing your rules. This is the rule we recommend for vigil_save:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "vigil_save": {
      "limits": [
        {
          "counter": "vigil_save_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

vigil_save stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Claude Vigil — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about vigil_save

What does the vigil_save tool do? +

Create a named checkpoint of the entire project. Runs in background — returns immediately. If slots are full, DO NOT auto-retry — ask the user whether to delete an existing checkpoint or increase capacity. It is categorised as a Write tool in the Claude Vigil MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on vigil_save? +

Register the Claude Vigil MCP server in PolicyLayer and add a rule for vigil_save: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Claude Vigil. Nothing to install.

What risk level is vigil_save? +

vigil_save is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit vigil_save? +

Yes. Add a rate_limit block to the vigil_save rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block vigil_save completely? +

Set action: deny in the PolicyLayer policy for vigil_save. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides vigil_save? +

vigil_save is provided by the Claude Vigil MCP server (vvkmnn/claude-vigil-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claude Vigil tool call.

Start from Claude Vigil, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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5 Claude Vigil tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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