Sync ParaSkill check-section-logic-consistency
Browse files- LICENSE +21 -0
- README.md +56 -0
- SKILL.md +124 -0
- agents/openai.yaml +4 -0
LICENSE
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MIT License
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Copyright (c) 2026 bhxdianzhang
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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---
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license: mit
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language:
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- zh
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- en
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tags:
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- codex-skill
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- ai-agent
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- scientific-writing
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- research-workflow
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- paraskill
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- paradoxgpt
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- checker
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pretty_name: CheckSectionLogicConsistency
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---
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# CheckSectionLogicConsistency
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`check-section-logic-consistency` is a ParaSkill research workflow skill for the `checker` family.
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## Purpose
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Check whether abstract, introduction, method, experiments, and conclusion use consistent terminology, claims, assumptions, and closure structure. Use when a paper feels internally inconsistent, has claim drift, or different sections appear to promise different contributions. Output is a consistency report and repair plan.
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## Metadata
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- Family: `checker`
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- Owner model: `ParadoxGPT-Checker-4B`
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- Output type: `diagnosis`
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- Version: `0.1`
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- Default language: `zh`
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## Included Files
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```text
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CheckSectionLogicConsistency/
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SKILL.md
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agents/openai.yaml
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README.md
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LICENSE
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```
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`SKILL.md` is the executable skill instruction. `README.md` is the Hugging Face card.
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## Installation
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Copy this folder into a Codex-discoverable skills directory, or reference `SKILL.md` directly from an agent workflow.
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```bash
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mkdir -p ~/.codex/skills
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cp -r CheckSectionLogicConsistency ~/.codex/skills/check-section-logic-consistency
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```
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## Source
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This skill is part of the ParaSkill library for ParadoxGPT. The full routing table is maintained in `SKILL_INDEX.json` in the source bundle.
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SKILL.md
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---
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name: check-section-logic-consistency
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description: >-
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Check whether abstract, introduction, method, experiments, and conclusion use
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consistent terminology, claims, assumptions, and closure structure. Use when a
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paper feels internally inconsistent, has claim drift, or different sections
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appear to promise different contributions. Output is a consistency report and
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repair plan.
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metadata:
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owner_model: ParadoxGPT-Checker-4B
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skill_family: checker
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version: "0.1"
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output_type: diagnosis
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default_language: zh
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trigger_keywords: [logic consistency, section consistency, claim drift, terminology, contradiction, 前后一致, 逻辑]
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required_inputs: [paper_sections]
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optional_inputs: [claim_list, terminology_list, reviewer_concerns]
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handoff_to: [check-claim-evidence-alignment, build-intro-argument-chain, rewrite-abstract-with-commitments]
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---
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# Check Section Logic Consistency
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## Purpose
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检查论文各章节是否讲的是同一个故事:abstract 的承诺、intro 的 gap、method 的设计、experiment 的证据、conclusion 的总结是否一致。这个 skill 关注跨章节漂移,而不是单点 claim 证据。
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## When to Use
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- 读起来感觉 abstract、intro、method、experiment 各讲各的。
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- 术语在不同章节含义变化。
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- 贡献从 intro 到 conclusion 被放大或换了目标。
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## Do Not Use
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- 只检查 claim 是否有证据 → 用 `check-claim-evidence-alignment`。
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- 需要重建 introduction 论证链 → 用 `build-intro-argument-chain`。
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- 只改 abstract → 用 `rewrite-abstract-with-commitments`。
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## Required Inputs
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- `paper_sections`: abstract、introduction、method、experiment、conclusion 的文本或摘要。
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- `claim_list`: optional,已抽取 claims。
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- `terminology_list`: optional,关键术语清单。
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## Output Contract
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输出必须至少包含:
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1. **terminology_inconsistencies** - 术语漂移或定义不一致。
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2. **claim_drift** - claim 在章节之间变大、变小或换目标。
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3. **missing_closure** - 某章节提出但后文没闭合的承诺。
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4. **contradictions** - 明确矛盾或隐含冲突。
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5. **repair_plan** - 按优先级修复。
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## Procedure
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1. 抽取每个章节的主 claim 和关键术语。
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2. 对齐同一术语在不同章节的定义和作用。
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3. 检查 intro 的 gap 是否真的由 method 回应。
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4. 检查 experiments 是否测试 abstract/conclusion 的核心承诺。
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5. 输出 repair_plan,优先修会误导 reviewer 的 drift。
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## Quality Bar
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一个好的输出必须:
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- 指出具体章节间的不一致,而不是泛泛说逻辑不顺。
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- 区分 terminology drift、claim drift 和 missing closure。
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- repair_plan 能说明改哪一节最划算。
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- 不把合理的逐步细化误判为矛盾。
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一个差的输出:
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- 只做全文摘要。
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- 把所有表达差异都当 inconsistency。
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- 不指出修复位置。
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## Failure Modes
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- **过度严格**:术语自然细化不等于漂移。
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- **漏掉 conclusion 扩张**:结论常把 claim 写大。
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- **忽视方法目标**:method 优化的目标和 intro 诉求不一致。
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- **只看字面**:同义改写不一定不一致,要看 claim 范围。
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## Handoff
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- 如果漂移本质是证据不支撑 claim → `check-claim-evidence-alignment`
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- 如果 intro 链条需要重建 → `build-intro-argument-chain`
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- 如果 abstract 承诺与正文不一致 → `rewrite-abstract-with-commitments`
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## Example
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Input:
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```
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paper_sections:
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abstract: claims scalable interaction for long-horizon reasoning
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introduction: motivates memory failures
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method: introduces interaction budget scheduler
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experiments: tests task success, not memory consistency
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conclusion: claims general agent memory improvement
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```
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Output:
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```
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terminology_inconsistencies:
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- “memory” in intro means persistent state, but method only changes interaction scheduling.
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claim_drift:
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- abstract: interaction scaling.
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- conclusion: agent memory improvement. This shifts the contribution target.
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missing_closure:
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- intro's memory failure motivation is not tested by experiments.
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contradictions:
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- no direct contradiction, but contribution framing drifts.
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repair_plan:
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1. Reframe intro around interaction budget, not memory.
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2. If keeping memory framing, add memory consistency diagnostic.
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3. Rewrite conclusion to match tested interaction claim.
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```
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agents/openai.yaml
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interface:
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display_name: "Check Section Logic Consistency"
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short_description: "Check whether abstract, introduction, method, experiments, and conclusion use consistent t"
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default_prompt: "Use $check-section-logic-consistency for this research-writing task."
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