git:20260903.0db310b to git:20260904.fbb98b4

---

name: skill-tournament

description: Apply the evolve campaign to one fixed skill identity against a benchmark built and qualified for it.

disable-model-invocation: true

---

Require: `skill`, the fixed skill identity being evolved; `surface`, its

declared mutable surface, which belongs to the campaign and its candidates;

`policy`, the frozen search policy, promotion rule and margin; `bound`, the

campaign's budget, which the benchmark's own allocation is never drawn from;

nested benchmark.

One skill improves against one benchmark built and qualified for it —

*freeze*: "Fix the identity before any candidate exists and forbid every

later call from touching it." Both halves are workflows, not calls: each

opens its own frame under this one, and the ticket tree is the call tree.

tickets.py frame-open <run> --goal-file <tournament-goal> --bound <bound> --workflow skill-tournament

**Build the benchmark.** Invoke `benchmaker` with `target=skill`, the

and this workflow's benchmark location as `package`, opening its frame under

this one:

tickets.py frame-open <run> --parent <frame> --goal-file <benchmark-goal>

Its qualified result is recorded in the package manifest at the one Git

revision that versions the benchmark, and that revision stays fixed for the

whole campaign.

**Spend the campaign.** Invoke `evolve` under this frame the same way, with

`target=skill`, the skill's current fixed result/evidence as `incumbent`,

the benchmark's qualified revision plus `policy` as `evaluation`,

`writer=orch-do`, `mutation_scope=surface`, and `bound`. Its final score

card names the final incumbent and the one benchmark revision every

candidate was scored against.

Never: mutate `skill` — the benchmark is built for it, never by changing it;

generate, score or compare a candidate here, since both halves own that;

change the benchmark or the policy inside the campaign; restate or call

evolve's verification, search or selection internals; let a benchmaker frame

targeting benchmaker invoke evolve; or activate a selected result — that

requires a separate authorized integration.

Return: `tickets.py frame-close <run> <frame> --done <check>` over the

campaign's final score card and the fixed benchmark revision it cites.