The review agent was creating too many low-value skills. Three changes
tighten the funnel:
- review_worker prompt: rewritten in "保守模式". Default decision is
do-nothing. To create, all five AND conditions must hold (>=5 tool
calls with step dependencies, an explicit fail->fix->success episode,
cross-scenario reusability, no >=70% overlap with skill_list, can
produce >=300 chars of substance). Adds 7 explicit NO categories
(single-tool loops, one-off queries, LLM common knowledge, etc.)
and a 4-question self-check before any create. Hard cap of 1 new
skill per review, with patch preferred over create.
- min_tool_calls: 3 -> 5. Matches the prompt's ">=5 steps" hard
condition so trivial turns never reach the LLM reviewer.
- Updated config.yaml, the default-value assertion in
test_skill_review_worker, and the middleware docstring's "(default
3)" annotation to keep all three references in sync.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
