docs: trim capy SKILL.md:49 so it stays under the token ceiling beside #3798

'(14.5 runs once)' -> '(14.5 once)' and 'Otherwise' -> 'Else' (22,355 B, 5,310 tokens on main; 22,371 B, about 5,314 tokens merged with #3798 against its 5,315 ceiling).

Co-authored-by: capy-ai[bot] <230910855+capy-ai[bot]@users.noreply.github.com>

capy/skill/gstack/SKILL.md

@@ -46,7 +46,7 @@ Capy checklist for `/autoplan`: drive `gstack-autoplan`, never a hand adaptation
 
 Token caps on /ship: pass a brief's cap as `--token-cap <n>`. /ship reads `cost.tokens` and `cost.credits` from `tools.thread.get({ thread_id: "<your own jam id>" })` (its own jam, subagents included; `"this"` names the root thread, so only a root run may pass it) inside the same execute program as the `gstack-ship-budget` command that takes them as `--reading <n> --credits <c>`, never in a call of its own. `ship/DRIVER.md` starts `--mode observe`: each program ends with `note`, and only a note past the cap stops (`docs/ship-budget.md`).
 
-/ship on Capy is about a dozen calls, each an execute program (`ship/DRIVER.md`). Each review pass and Step 11 is one call to the checked-in pass program (fill only `input`): `const t0 = await now(); const p = (await tools.capy.bash({ command: ". '<launch file>' && gstack-review-dispatch program", description: "Pass" })).output.split("\n"); return p[0] + "\n" + (await new (Object.getPrototypeOf(async () => {}).constructor)("tools", "sleep", "now", "input", JSON.parse(p[1]))(tools, sleep, now, { startedAt: t0, launch: "<launch file>", cwd: "<repo>", base: "<base>", out: "<run dir>/p<n>", pass: "<run>-p<n>", laneModel: "<your model id>", planFlags: [], logStart: ["review"], jam: "<jam id>", record: "<rec>", step: "9.2" }));` It plans, logs `logStart` (`reservation` mode from `RESERVATION_ID:`), sends each brief on `machine: "shared"`, then polls: one `tools.subagent.list` per ~20 s tick, returning 200 s after the program's first line, where a reader is settled only at status `done` or `failed` or with a `summary` (a just-created `idle` reader has not run); it starts readers under `rejected` with `tools.subagent.start` as slots free and stops on one stuck 20 minutes. It ends on `NEXT:` (`poll`: rerun) or `STOP:`. `models` maps roles to models (`outside-voice`: another family, pinned in `voice-models.json`); Step 11 adds `stage: "voices"`; a full repeat pass, `diffBase: "<RANGE_BASE>"`. Steps 7, 8, 9.2.1 and 14.5 (`step: "14.5"`) use `extras`, JSON `{name, prompt_file, first, model}` (prompts verbatim from their sections, Step 7 `first`); they cannot block, so `model: { model_id: "anthropic/claude-sonnet-5-5", reasoning_mode: "low" }` (14.5 runs once). Waits: never let 5 minutes pass between calls. While readers run, never end the turn on `wait`; rerun the loader. Otherwise re-issue `wait` with `duration_seconds: 200` and operation ids. At Step 22 report the `CALLS:` line of `gstack-ship-budget calls --events <file>` on your transcript since /ship began. A small waiting child saves nothing.
+/ship on Capy is about a dozen calls, each an execute program (`ship/DRIVER.md`). Each review pass and Step 11 is one call to the checked-in pass program (fill only `input`): `const t0 = await now(); const p = (await tools.capy.bash({ command: ". '<launch file>' && gstack-review-dispatch program", description: "Pass" })).output.split("\n"); return p[0] + "\n" + (await new (Object.getPrototypeOf(async () => {}).constructor)("tools", "sleep", "now", "input", JSON.parse(p[1]))(tools, sleep, now, { startedAt: t0, launch: "<launch file>", cwd: "<repo>", base: "<base>", out: "<run dir>/p<n>", pass: "<run>-p<n>", laneModel: "<your model id>", planFlags: [], logStart: ["review"], jam: "<jam id>", record: "<rec>", step: "9.2" }));` It plans, logs `logStart` (`reservation` mode from `RESERVATION_ID:`), sends each brief on `machine: "shared"`, then polls: one `tools.subagent.list` per ~20 s tick, returning 200 s after the program's first line, where a reader is settled only at status `done` or `failed` or with a `summary` (a just-created `idle` reader has not run); it starts readers under `rejected` with `tools.subagent.start` as slots free and stops on one stuck 20 minutes. It ends on `NEXT:` (`poll`: rerun) or `STOP:`. `models` maps roles to models (`outside-voice`: another family, pinned in `voice-models.json`); Step 11 adds `stage: "voices"`; a full repeat pass, `diffBase: "<RANGE_BASE>"`. Steps 7, 8, 9.2.1 and 14.5 (`step: "14.5"`) use `extras`, JSON `{name, prompt_file, first, model}` (prompts verbatim from their sections, Step 7 `first`); they cannot block, so `model: { model_id: "anthropic/claude-sonnet-5-5", reasoning_mode: "low" }` (14.5 once). Waits: never let 5 minutes pass between calls. While readers run, never end the turn on `wait`; rerun the loader. Else re-issue `wait` with `duration_seconds: 200` and operation ids. At Step 22 report the `CALLS:` line of `gstack-ship-budget calls --events <file>` on your transcript since /ship began. A small waiting child saves nothing.
 
 ## Plan, approve, ship
 

test/ship-driver.test.ts

@@ -226,7 +226,7 @@ describe('variant G: the call plan, observe budget, waits and audit readers (GST
     expect(flat(doc)).toContain('`Coverage:` and Step 8\'s line come from `--audit` when no reader ran');
     const capy = read('capy/skill/gstack/SKILL.md');
     expect(capy).toContain('model: { model_id: "anthropic/claude-sonnet-5-5", reasoning_mode: "low" }');
-    expect(capy).toContain('(14.5 runs once)');
+    expect(capy).toContain('(14.5 once)');
   });
 
   // Value: protects=a driven /ship dispatches every blocking reader on its rendered brief file unchanged, checks it with `sent`, merges findings only through `collect`, gates judgment with `judge` and verifies the run before the bind; fails_when=the driver lets the model write or trim a brief again or merge findings in prose (round 4b: arm D lost 8 blockers with 75 of 112 briefs paraphrased);