Handle deterministic agents without LLM creds

agent_builder/skills/a2apack-agent-authoring/SKILL.md

@@ -31,6 +31,12 @@ never read `A2A_LITELLM_KEY`, `OPENAI_API_KEY`, provider keys, or platform
 secrets directly. If `ctx.llm.api_key` is empty, return a clear setup/config
 result before constructing a model or calling `create_a2a_deep_agent`.
 
+For explicitly deterministic/local-logic agents that do not call an LLM, omit
+the concrete class `llm_provisioning` declaration, remove unused
+`LLMProvisioning` imports, do not read `ctx.llm`, and set
+`Pricing(..., caller_pays_llm=False, ...)`. A no-LLM agent must be callable
+without requiring the user's LLM credential.
+
 `Pricing` only accepts `price_per_call_usd`, `caller_pays_llm`, and `notes`.
 Do not put `runtime.pricing.compute`, `runtime.pricing.total_usd`, `compute=`,
 or `total_usd=` in generated `agent.py`; the platform derives those values from

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.