一键导入
hypothesis-placement-tournament
Judge one placement-tournament matchup between a candidate hypothesis and one opponent.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Judge one placement-tournament matchup between a candidate hypothesis and one opponent.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | hypothesis-placement-tournament |
| description | Judge one placement-tournament matchup between a candidate hypothesis and one opponent. |
Goal:
Inputs:
research_plan/RESEARCH_PLAN.jsonhypotheses/<id>/HYPOTHESIS.json artifacts with completed review bundlesOutputs:
TournamentMatchContract result for a placement tournamentContext Loading:
skills/shared-references/schema-index.md.packages/agent_contracts/ranking.py and confirm the exact TournamentMatchContract shape before emitting the placement result.research_plan/RESEARCH_PLAN.json.placement_tournament.Execution Prompt Contract:
TournamentMatchContract.match_strategy: placement_tournamentwinner_id: one of the two hypothesis IDsreasoning: concise but specificExecution Steps:
skills/shared-references/schema-index.md, then read packages/agent_contracts/ranking.py before emitting the placement match artifact.Completion Rule:
Run the full Co-Scientist pipeline for one research run.
Evaluate whether a hypothesis newly entered the current top-k set and update the convergence counter deterministically.
Assemble a dashboard-ready snapshot from the canonical state.
Choose exactly one concrete evolution strategy for the active evolution round.
Run the assumption decomposition and deep verification review for a hypothesis.
Run the iterative evolution loop from the current persisted run state until convergence.