Handle deterministic agents without LLM creds

agent_builder/skills/agent-quality-review/SKILL.md

@@ -30,14 +30,19 @@ Check these items:
   arguments.
 - The public schema is small and stable. No unbounded command strings, hidden
   prompt fragments, or provider credentials as public inputs.
-- The implementation reads `ctx.llm` for both `CALLER_PROVIDED` and
+- LLM-backed implementations read `ctx.llm` for both `CALLER_PROVIDED` and
   `PLATFORM` LLM provisioning. `PLATFORM_OR_CALLER_PROVIDED` is acceptable
   only for trusted platform/meta agents and must also read `ctx.llm`.
-- Hosted generated/user agents should default to
+- Hosted generated/user agents that call an LLM should default to
   `llm_provisioning = LLMProvisioning.PLATFORM` and
   `Pricing(..., caller_pays_llm=True, ...)`. `LLMProvisioning.CALLER_PROVIDED`
   is acceptable for explicit BYOK wording. In both modes, the code must use
   `ctx.llm` and never read LiteLLM/provider keys directly.
+- Deterministic/local-logic agents that do not call an LLM omit the concrete
+  `llm_provisioning` declaration, remove unused `LLMProvisioning` imports, do
+  not read `ctx.llm`, and use `Pricing(..., caller_pays_llm=False, ...)`.
+  Reject no-LLM agents that would require a user's LLM credential before
+  invoking deterministic skills.
 - `Pricing` contains only `price_per_call_usd`, `caller_pays_llm`, and `notes`.
   Reject `runtime.pricing.compute`, `runtime.pricing.total_usd`, `compute=`, or
   `total_usd=` in `agent.py`; those are derived platform fields.