generate-and-gradelisted

# generate-and-grade A deterministic regression net for the agent generator. It runs a fixed prompt set through the generator's **no-LLM** path — `assembleAgentBundle(heuristicIntent(sentence))` — and asserts each sentence still yields a SANE agent (right trigger kind, expected tool bindings, expected channel, correct skill template). No live LLM key needed; it is reproducible in CI and locally. ## When to use After ANY change to: - `packages/crm/src/lib/agents/generate/**` (parse-intent.ts, agent-bundle.ts, bind-tools.ts, tool-catalog.ts) - the trigger model (`src/lib/agents/triggers/agent-trigger.ts`) - the starter templates (`src/lib/agent-templates/starter-pack.ts`) ## Run it From `packages/crm`: ``` node --import tsx --test tests/regression/generator-prompts.spec.ts ``` Expect: **all cases pass** (`fail 0`). The baseline is green; any red is a regression. ## On failure — STOP and report If any case fails, the generator regressed. Do NOT proceed with the change. Read the failure message — it names the exact sentence and every mismatch on its own line, e.g.: ``` Generator regression for sentence: "Post a weekly Instagram highlight of our 5-star reviews" • trigger.kind: expected "schedule", got "event" • connectors: missing required tool id(s) [postiz] — bound: [none] ��� skill: customSkillMd contains forbidden signature(s) ["You are the review-requester"] — wrong skill template was used ``` Report to the user: the sentence + which axis broke (trigger / t