Sync ParaSkill design-baselines-and-ablations

LICENSE

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+MIT License
+
+Copyright (c) 2026 bhxdianzhang
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+license: mit
+language:
+- zh
+- en
+tags:
+- codex-skill
+- ai-agent
+- scientific-writing
+- research-workflow
+- paraskill
+- paradoxgpt
+- designer
+pretty_name: DesignBaselinesAndAblations
+---
+
+# DesignBaselinesAndAblations
+
+`design-baselines-and-ablations` is a ParaSkill research workflow skill for the `designer` family.
+
+## Purpose
+
+Design baseline and ablation plans that test a method's central claims and isolate which components matter. Use when a paper has a method sketch, claims, and research area but needs comparison structure, component ablations, and expected findings. Output is an experiment design plan, not a list of random benchmark names.
+
+## Metadata
+
+- Family: `designer`
+- Owner model: `ParadoxGPT-Designer-4B`
+- Output type: `generation`
+- Version: `0.1`
+- Default language: `zh`
+
+## Included Files
+
+```text
+DesignBaselinesAndAblations/
+  SKILL.md
+  agents/openai.yaml
+  README.md
+  LICENSE
+```
+
+`SKILL.md` is the executable skill instruction. `README.md` is the Hugging Face card.
+
+## Installation
+
+Copy this folder into a Codex-discoverable skills directory, or reference `SKILL.md` directly from an agent workflow.
+
+```bash
+mkdir -p ~/.codex/skills
+cp -r DesignBaselinesAndAblations ~/.codex/skills/design-baselines-and-ablations
+```
+
+## Source
+
+This skill is part of the ParaSkill library for ParadoxGPT. The full routing table is maintained in `SKILL_INDEX.json` in the source bundle.

SKILL.md

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+---
+name: design-baselines-and-ablations
+description: >-
+  Design baseline and ablation plans that test a method's central claims and
+  isolate which components matter. Use when a paper has a method sketch, claims,
+  and research area but needs comparison structure, component ablations, and
+  expected findings. Output is an experiment design plan, not a list of random
+  benchmark names.
+metadata:
+  owner_model: ParadoxGPT-Designer-4B
+  skill_family: designer
+  version: "0.1"
+  output_type: generation
+  default_language: zh
+  trigger_keywords: [baseline, ablation, component, experiment design, 对比实验, 消融, 基线]
+  required_inputs: [method_summary, core_components, claims]
+  optional_inputs: [research_area, related_work, constraints, current_experiments]
+  handoff_to: [map-claims-to-experiments, design-diagnostic-analysis, identify-fatal-concerns]
+---
+
+# Design Baselines And Ablations
+
+## Purpose
+
+为方法型 claim 设计 baseline 和 ablation，使实验能回答“比什么强”“为什么强”“哪个组件必要”。这个 skill 不负责随机挑 dataset 名，而是确定对照结构和消融逻辑。
+
+## When to Use
+
+- 方法已有核心组件，但实验不知道该怎么对比。
+- reviewer 可能质疑增益来自 trivial baseline 或某个组件无效。
+- `map-claims-to-experiments` 发现 baseline / ablation 缺口。
+
+## Do Not Use
+
+- 还没有明确 claims → 先用 `map-claims-to-experiments`。
+- 想解释机制为什么有效 → 用 `design-diagnostic-analysis`。
+- 只想判断是否 fatal → 用 `identify-fatal-concerns`。
+
+## Required Inputs
+
+- `method_summary`: 方法概要。
+- `core_components`: 方法核心组件清单。
+- `claims`: 方法主张。
+- `research_area`: optional，领域或任务类型。
+- `related_work`: optional，相关方法类别。
+- `constraints`: optional，算力/时间/数据限制。
+
+## Output Contract
+
+输出必须至少包含：
+
+1. **baseline_plan** - baseline 类型、比较目的、必须控制的变量。
+2. **ablation_plan** - 每个核心组件如何消融、要检验什么。
+3. **expected_findings** - 若 claim 成立应观察到什么。
+4. **risk_if_missing** - 缺少某项实验会被 reviewer 如何攻击。
+5. **minimal_viable_experiment_set** - 资源有限时的最小实验集。
+
+## Procedure
+
+1. 先把 claims 按 effectiveness、component necessity、efficiency、robustness 分类。
+2. 为 effectiveness claim 选择 baseline 类型：strong prior method、simple heuristic、same-budget variant、oracle/upper-bound 等。
+3. 为每个 core_component 设计去除、替换或冻结式 ablation。
+4. 判断需要控制的变量：compute、data、model size、training budget、prompt length。
+5. 给出最小实验集和缺失风险。
+
+## Quality Bar
+
+一个好的输出必须：
+
+- baseline 与 claim 对齐，不是越多越好。
+- ablation 能隔离组件贡献，避免同时改变多个变量。
+- expected_findings 能区分 claim 成立/不成立。
+- minimal set 能在 constraints 下执行。
+
+一个差的输出：
+
+- 只列“加 SOTA baseline、更多 ablation”。
+- 没有说明每个 baseline 检验什么。
+- 消融设计改变太多因素，无法归因。
+
+## Failure Modes
+
+- **baseline 过弱**：赢了也不能证明贡献。
+- **baseline 过强但不公平**：比较预算或信息不一致。
+- **消融不可解释**：删除组件导致系统无法运行，却被当作证据。
+- **忽略 compute/data 控制**：增益可能来自资源而非方法。
+
+## Handoff
+
+- 如果 claim 到实验映射还不清 → `map-claims-to-experiments`
+- 如果 ablation 后仍无法解释机制 → `design-diagnostic-analysis`
+- 如果缺失实验可能导致 reject → `identify-fatal-concerns`
+
+## Example
+
+Input:
+
+```
+method_summary: interaction scaling agent with planner and verifier
+core_components: planner, verifier, multi-round interaction budget
+claims: higher long-horizon success; gains come from interaction rounds
+```
+
+Output:
+
+```
+baseline_plan:
+  B1 same model, single-round generation: 检验多轮是否必要。
+  B2 same token budget, fewer rounds but longer responses: 控制总生成量。
+  B3 prior memory/tool agent: 检验相对已有 agent 的收益。
+
+ablation_plan:
+  A1 remove verifier: 检验纠错机制是否贡献。
+  A2 fixed vs scaled interaction rounds: 检验 scaling 曲线。
+  A3 planner-only / verifier-only: 隔离组件作用。
+
+expected_findings:
+  - 如果 interaction claim 成立，same token budget 下多轮应优于单轮长生成。
+
+risk_if_missing:
+  - 无 B2 时 reviewer 会认为收益来自更多 tokens。
+
+minimal_viable_experiment_set:
+  - B1 + B2 + A2。
+```

agents/openai.yaml

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+interface:
+  display_name: "Design Baselines And Ablations"
+  short_description: "Design baseline and ablation plans that test a method's central claims and isolate which c"
+  default_prompt: "Use $design-baselines-and-ablations for this research-writing task."