Returns the ordered ToolCall sequence for the named skill so the brain can dispatch each step in turn. Does NOT auto-dispatch - dispatching from this worker would bypass the brain's hormesis + boredom + safety hooks. Each step is { tool, args }; replay them via the same MCP tools (move_to, say, p...
Part of the Space0 server.
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AI agents invoke invoke_skill to trigger processes or run actions in Space0. 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.
invoke_skill 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.
{
"version": "1",
"default": "deny",
"tools": {
"invoke_skill": {
"limits": [
{
"counter": "invoke_skill_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} See the full Space0 policy for all 60 tools.
These attack patterns abuse exactly the kind of access invoke_skill gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Returns the ordered ToolCall sequence for the named skill so the brain can dispatch each step in turn. Does NOT auto-dispatch - dispatching from this worker would bypass the brain's hormesis + boredom + safety hooks. Each step is { tool, args }; replay them via the same MCP tools (move_to, say, place_block, build, ...). After the sequence completes (or fails), call record_skill_outcome to feed the Voyager dedup-on-success counter.. It is categorised as a Execute tool in the Space0 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Space0 MCP server in PolicyLayer and add a rule for invoke_skill: 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 Space0. Nothing to install.
invoke_skill is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the invoke_skill 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.
Set action: deny in the PolicyLayer policy for invoke_skill. 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.
invoke_skill is provided by the Space0 MCP server (https://mcp.0.space/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 60 Space0 tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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