docs: fold verification-run feedback into verify skill

Stale-compose-stack check + host-process path for branch code, worktree
.env/bun-install setup, concrete config.toml injection recipe, live-LLM
model-var requirement, and telemetry log-noise hint.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

.claude/skills/verify/SKILL.md

@@ -14,23 +14,39 @@ run directly on the host (see Launch below); you'll need Postgres with pgvector
 and Redis reachable, plus a `.env` with connection strings and an LLM provider
 key for any flow that hits a model (deriver, dialectic, dreamer).
 
+Working in a worktree? It carries neither `.env` nor `node_modules`. Copy
+`.env` from the main checkout (that's where the provider keys live), and run
+`bun install` in `sdks/typescript` if you'll run the full test suite —
+otherwise the pre-push gate fails on a phantom `Cannot find package 'zod'`.
+
 ## Launch
 
-First check whether the stack is already running via Docker Compose — that's
-the preferred setup, and reusing it beats starting a second one:
+First check whether the stack is already running via Docker Compose:
 
 ```bash
 docker compose ps          # look for api / deriver / database / redis
 docker compose up -d       # start it if not
 ```
 
-Without Docker, run the two processes directly (shared Postgres + Redis):
+A running stack is not the same as *your branch's code* running — check the
+CREATED column; the images may be weeks old. For verifying a diff, the cheap
+path is to reuse the stack's Postgres/Redis containers but run the branch's
+API as a host process on a spare port:
 
 ```bash
-uv run fastapi dev src/main.py      # API server (default :8000)
-uv run python -m src.deriver        # deriver worker (queue consumer)
+uv run uvicorn src.main:app --port 8901   # branch code, stack's DB/Redis
+uv run python -m src.deriver              # if the diff touches the worker
 ```
 
+This avoids both an image rebuild and the port/project-name conflicts a second
+compose stack in a worktree would cause. Without Docker at all, run the two
+processes the same way against host Postgres + Redis (API default port 8000
+via `uv run fastapi dev src/main.py`).
+
+When reading server logs, note that with the main `.env` the telemetry emitter
+spams connection warnings at an unreachable endpoint — `grep -v
+telemetry.emitter` before looking for the real error.
+
 ## Drive it
 
 Prefer driving through the `honcho-cli` skill; fall back to the SDKs
@@ -41,6 +57,10 @@ skill covers how to use the SDKs.
 When a change updates endpoints or makes schema changes, verify across all
 three surfaces — CLI, SDKs, and REST — since they can drift independently.
 
+For LLM-path changes, the fastest synchronous surface is dialectic at the
+`minimal` reasoning level: send a couple of messages, then hit
+`/v3/.../peers/{peer_id}/chat` and observe the response.
+
 ## Configuration
 
 Configuration is central to both driving the app and running tests: it's how
@@ -52,6 +72,12 @@ process, and observe the behavioral difference at the surface — the same
 mechanism lets you point provider base URLs, model choices, and timeouts at
 credentials and proxies you actually have.
 
+Two concrete levers: deep-nested settings (e.g.
+`[dialectic.levels.minimal.model_config.overrides.provider_params]`) are
+miserable as env vars — drop a partial `config.toml` in the repo root instead.
+And for load-time config behavior, `uv run python -c "import src.config; ..."`
+is faster than booting the server.
+
 ## Test suites
 
 Three test types matter here. All run in CI, but they're also runnable locally
@@ -69,7 +95,9 @@ uv run python -m tests.unified.run
 uv run python -m tests.unified.run --test-dir tests/unified/test_cases
 
 # Live LLM tests — real provider calls, for testing specific backends.
-# Needs LLM_ANTHROPIC_API_KEY / LLM_OPENAI_API_KEY / LLM_GEMINI_API_KEY and
-# LIVE_LLM_*_MODELS env vars; see tests/live_llm/README.md.
+# Needs provider API keys AND model vars — without LIVE_LLM_*_MODELS the
+# tests silently deselect that provider. See tests/live_llm/README.md.
+export LLM_ANTHROPIC_API_KEY=...
+export LIVE_LLM_ANTHROPIC_45_PLUS_MODELS=claude-sonnet-4-5
 uv run pytest tests/live_llm -n 0 --live-llm --no-header -q
 ```