register_skill
Register a skill (rule/memory .md file) with its source documents, update triggers,
This record as markdown: /tools/io-github-homenshum-nodebench/register-skill.md
What register_skill does on Nodebench
AI agents use register_skill to create or update resources in Nodebench, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nodebench environment.
Why register_skill is rated Medium
This tool creates or modifies skill definitions and their associated metadata (source documents, triggers). These are reversible write operations — skills can be updated or removed. While the tool affects system behavior through registered skills and triggers, it does not delete data (Destructive), execute arbitrary code (Execute), or have financial implications (Financial).
From the tool's definition Tool description states 'Register a skill' and 'update triggers' — these are write operations that create or modify skill records and configuration. The .md file registration and trigger updates indicate reversible creation/modification of data structures.
Attacks that exploit this kind of access
The rule that runs register_skill safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For register_skill, this is the rule to start with:
register_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every register_skill call is checked against it from then on.
Questions about register_skill
Register a skill (rule/memory .md file) with its source documents, update triggers,. It is categorised as a Write tool in the Nodebench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Nodebench MCP server in PolicyLayer and add a rule for register_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 Nodebench. Nothing to install.
register_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 register_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 register_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.
register_skill is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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