weigh

# weigh — weighted-trajectory selection Run `sample → attach signals → weight → select` over one task. The model side *proposes* candidate trajectories (this is the Workflow tool's substrate — its judge-panel / adversarial-verify sampling); the **harness owns the weight function that picks among them**: `scripts/score-trajectories.mjs`, a pure, zero-dep, frozen-weights scorer. See `references/workflow-shape.md` for the seam and `references/scoring.md` for the weighting contract. **Core principle: the model proposes, the scorer disposes.** Selection is a deterministic, version-controlled, reconstructable weighted sum — not a vibe. > `disable-model-invocation: true` suppresses **auto**-invocation only — the model > never fires `/weigh` on its own (it spawns N agents and burns tokens). A > user-typed `/weigh` runs the full procedure below, including the Step-2 sampling > fan-out. `allowed-tools` includes **`Agent`** because Step 2 spawns the N > sampling agents — without it the sampling step cannot run. ## Result tag Announce exactly one human result tag at the end of the run: ``` RESULT: SELECTED | NO-SELECTION | DRY-RUN ``` | Tag | Meaning | |-----|---------| | `SELECTED` | The scorer ran and returned a `selected` id (or top-K for `synthesis`). | | `NO-SELECTION` | Every trajectory broke the hard floor — the scorer returned `{ selected: null, reason: "NO-SELECTION", floorViolations }`. Report the floor that killed them; do not promote a failure. | | `DRY-RUN` | `--dry-r...