Load a saved profile and apply it with the verified workflow.
AI agents invoke apply_hook_profile to trigger actions in Algorithmaide. 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.
Applying a hook profile on a real Android device triggers active instrumentation of running processes (likely via Frida/LSPosed), which constitutes executing code/operations on the device. The server context explicitly mentions Frida script injection and LSPosed scope sync, meaning 'applying' a profile modifies runtime behavior of apps.
From the tool's definition 'apply_hook_profile' — 'Load a saved profile and apply it with the verified workflow'
Documented attack patterns abuse exactly the kind of access apply_hook_profile gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Algorithmaide, and nothing reaches the server without passing your rules. This is the rule we recommend for apply_hook_profile:
{
"version": "1",
"default": "deny",
"tools": {
"apply_hook_profile": {
"limits": [
{
"counter": "apply_hook_profile_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} apply_hook_profile 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.
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Load a saved profile and apply it with the verified workflow. It is categorised as a Execute tool in the Algorithmaide MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Algorithmaide MCP server in PolicyLayer and add a rule for apply_hook_profile: 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 Algorithmaide. Nothing to install.
apply_hook_profile 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 apply_hook_profile 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 apply_hook_profile. 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.
apply_hook_profile is provided by the Algorithmaide MCP server (vwww-droid/algorithmaide-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Algorithmaide, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
23 Algorithmaide tools catalogued and risk-classified — across an index of 43,000+ MCP servers.