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render_hyperframes

Render an HTML video composition (Hyperframes) to MP4. Author the composition as HTML with data-* timing attributes and GSAP timelines \u2014 frame-accurate, no React build step. Use list_hyperframes_blocks to see the pre-built block catalog. Returns a job ID \u2014 poll with check_status. Note: ...

Part of the Socialneuron server.

render_hyperframes can trigger actions in Socialneuron, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke render_hyperframes to trigger processes or run actions in Socialneuron. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

render_hyperframes can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "render_hyperframes": {
      "limits": [
        {
          "counter": "render_hyperframes_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access render_hyperframes gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so render_hyperframes only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the render_hyperframes tool do? +

Render an HTML video composition (Hyperframes) to MP4. Author the composition as HTML with data-* timing attributes and GSAP timelines \u2014 frame-accurate, no React build step. Use list_hyperframes_blocks to see the pre-built block catalog. Returns a job ID \u2014 poll with check_status. Note: F4 v1 ships the EF + scaffold; the worker container needs the hyperframes runtime installed (Phase 2) before this returns finished MP4s.. It is categorised as a Execute tool in the Socialneuron MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on render_hyperframes? +

Register the Socialneuron MCP server in PolicyLayer and add a rule for render_hyperframes: 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 Socialneuron. Nothing to install.

What risk level is render_hyperframes? +

render_hyperframes is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit render_hyperframes? +

Yes. Add a rate_limit block to the render_hyperframes 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 render_hyperframes completely? +

Set action: deny in the PolicyLayer policy for render_hyperframes. 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 render_hyperframes? +

render_hyperframes is provided by the Socialneuron MCP server (@socialneuron/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Socialneuron tool call.

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