module_load
Load one or more environment modules into the current session.
This record as markdown: /tools/io-github-iowarp-adios-mcp/module-load.md
What module_load does on CLIO Adios
AI agents invoke module_load to trigger actions in CLIO Adios. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why module_load is rated High
Loading environment modules executes system-level operations that alter PATH, library paths, and environment variables for the current session. This is an Execute-category action because it triggers external operations (module system commands) whose effects depend on arguments (which modules are loaded). Misuse could load malicious or conflicting modules affecting subsequent operations, warranting medium severity.
From the tool's definition 'Load one or more environment modules into the current session' — actively modifies the runtime environment by loading modules, triggering external operations that change the execution context.
Attacks that exploit this kind of access
The rule that runs module_load safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CLIO Adios, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For module_load, this is the rule to start with:
module_load stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every module_load call is checked against it from then on.
Questions about module_load
Load one or more environment modules into the current session. It is categorised as a Execute tool in the CLIO Adios MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the CLIO Adios MCP server in PolicyLayer and add a rule for module_load: 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 CLIO Adios. Nothing to install.
module_load is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the module_load 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 module_load. 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.
module_load is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on CLIO Adios, and thousands of servers like it.
Across the catalogue