Medium Risk

recommend

Recommend AI tools, skills, MCP servers, agents, rules, and resources from the SkillHub ecosystem (20,000+ resources) based on the user's task or intent. Use this when the user could benefit from discovering relevant AI tools, needs help finding the right framework/library, or is working on a tas...

Part of the Skillhub MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

skillhub-mcp Write Risk 2/5

AI agents use recommend to create or modify resources in Skillhub. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call recommend repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Skillhub.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

io-github-214140846-skillhub-mcp.yaml
tools:
  recommend:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Skillhub policy for all 5 tools.

Tool Name recommend
Category Write
MCP Server Skillhub MCP Server
Risk Level Medium

Agents calling write-class tools like recommend have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the recommend tool do? +

Recommend AI tools, skills, MCP servers, agents, rules, and resources from the SkillHub ecosystem (20,000+ resources) based on the user's task or intent. Use this when the user could benefit from discovering relevant AI tools, needs help finding the right framework/library, or is working on a task that could be improved with specific AI resources. Returns ranked results with relevance scores and install guidance.. It is categorised as a Write tool in the Skillhub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on recommend? +

Add a rule in your Intercept YAML policy under the tools section for recommend. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Skillhub MCP server.

What risk level is recommend? +

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

Can I rate-limit recommend? +

Yes. Add a rate_limit block to the recommend rule in your Intercept 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 recommend completely? +

Set action: deny in the Intercept policy for recommend. 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 recommend? +

recommend is provided by the Skillhub MCP server (skillhub-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Skillhub

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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