load_skill
Load one skill's full markdown runbook body by name.
This record as markdown: /tools/secure-ssid-centralmcp/load-skill.md
What load_skill does on API-Central
AI agents call load_skill to retrieve information from API-Central without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why load_skill is rated Low
Retrieves and returns skill documentation without modifying, deleting, or executing operations.
From the tool's definition Load skill's full markdown runbook body by name.
Attacks that exploit this kind of access
The rule that runs load_skill safely
PolicyLayer is an MCP gateway: it sits between your AI agents and API-Central, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For load_skill, this is the rule to start with:
load_skill is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect API-Central, apply this rule, and every load_skill call is checked against it from then on.
Questions about load_skill
Load one skill's full markdown runbook body by name. It is categorised as a Read tool in the API-Central MCP Server, which means it retrieves data without modifying state.
Register the API-Central MCP server in PolicyLayer and add a rule for load_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 API-Central. Nothing to install.
load_skill is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the load_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 load_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.
load_skill is provided by the API-Central MCP server (secure-ssid/centralmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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