AI agents use add_profile_skill to create or update resources in LinkedIn Intelligence MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your LinkedIn Intelligence MCP Server environment.
This tool creates or modifies data (adding a skill to a profile) without permanent deletion or external financial/code execution effects. It falls under Write category as a reversible profile modification.
From the tool's definition Tool name 'add_profile_skill' and description 'Add a skill to your profile' indicate the tool creates or modifies profile data. The action is reversible (skills can be removed or updated), and affects only the user's own LinkedIn profile metadata.
Documented attack patterns abuse exactly the kind of access add_profile_skill gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and LinkedIn Intelligence MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for add_profile_skill:
{
"version": "1",
"default": "deny",
"tools": {
"add_profile_skill": {
"limits": [
{
"counter": "add_profile_skill_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}add_profile_skill 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.
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Add a skill to your profile. It is categorised as a Write tool in the LinkedIn Intelligence MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the LinkedIn Intelligence MCP Server MCP server in PolicyLayer and add a rule for add_profile_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 LinkedIn Intelligence MCP Server. Nothing to install.
add_profile_skill is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the add_profile_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 add_profile_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.
add_profile_skill is provided by the LinkedIn Intelligence MCP Server MCP server (southleft/linkedin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 87 LinkedIn Intelligence MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
87 LinkedIn Intelligence MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.