agent_install_skill
Install / upload a skill (Agent Skills Open Standard — a SKILL.md with frontmatter
This record as markdown: /tools/cloud-easybits-easybits/agent-install-skill.md
What agent_install_skill does on EasyBits
AI agents use agent_install_skill to create or update resources in EasyBits, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your EasyBits environment.
Why agent_install_skill is rated Medium
Uploads and installs a skill onto an agent, a reversible write operation.
From the tool's definition Install / upload a skill
Attacks that exploit this kind of access
The rule that runs agent_install_skill safely
PolicyLayer is an MCP gateway: it sits between your AI agents and EasyBits, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For agent_install_skill, this is the rule to start with:
agent_install_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 EasyBits, apply this rule, and every agent_install_skill call is checked against it from then on.
Questions about agent_install_skill
Install / upload a skill (Agent Skills Open Standard — a SKILL.md with frontmatter. It is categorised as a Write tool in the EasyBits MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the EasyBits MCP server in PolicyLayer and add a rule for agent_install_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 EasyBits. Nothing to install.
agent_install_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 agent_install_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 agent_install_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.
agent_install_skill is provided by the EasyBits MCP server (@easybits.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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