hippo_predict_warmup_skills
FORGIA #308 — Round 24: rank skills by aggregate
This record as markdown: /tools/verimem/hippo-predict-warmup-skills.md
What hippo_predict_warmup_skills does on Verimem
AI agents call hippo_predict_warmup_skills to retrieve information from Verimem without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why hippo_predict_warmup_skills is rated Low
The tool performs a ranking/prediction analysis on skills data. While 'predict' might suggest computation, the core function is retrieving and ordering information based on aggregated metrics. There is no indication of data creation, modification, deletion, code execution, or financial impact. The context of a memory engine suggests this retrieves skill profiling information for the agent.
From the tool's definition Tool name contains 'predict' and 'rank' (analytical/retrieval operations); description states 'rank skills by aggregate' which is a read operation that queries or scores existing data without modifying it.
Attacks that exploit this kind of access
The rule that runs hippo_predict_warmup_skills safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Verimem, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hippo_predict_warmup_skills, this is the rule to start with:
hippo_predict_warmup_skills is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Verimem, apply this rule, and every hippo_predict_warmup_skills call is checked against it from then on.
Questions about hippo_predict_warmup_skills
FORGIA #308 — Round 24: rank skills by aggregate. It is categorised as a Read tool in the Verimem MCP Server, which means it retrieves data without modifying state.
Register the Verimem MCP server in PolicyLayer and add a rule for hippo_predict_warmup_skills: 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 Verimem. Nothing to install.
hippo_predict_warmup_skills is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the hippo_predict_warmup_skills 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 hippo_predict_warmup_skills. 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.
hippo_predict_warmup_skills is provided by the Verimem MCP server (aureliocpr-ctrl/verimem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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