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Agent Skill · 研究检索

ppw%3alogic(PPW 3alogic 搜索)

ppw%3alogic 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ppw%3alogic 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 57,350。

总安装 436周安装 18GitHub Stars 280下载 143核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ppw%3alogic(PPW 3alogic 搜索)
来源仓库:https://github.com/lylll9436/paper-polish-workflow-skill
仓库路径:skills/ppw%3Alogic
安装命令:
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:logic
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:logic

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

ppw%3alogic 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。适用于研究检索类任务,可能涉及逻辑推理或结构分析相关内容。

可通过 npx skills add 命令从指定 GitHub 仓库安装并使用。安装前建议确认权限范围和维护状态,避免触发联网或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/ppw%3Alogic

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ppw%3alogic 怎么安装?

在终端执行 npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:logic。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ppw%3alogic 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ppw%3alogic 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:logic 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

ppw%3alogic 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ppw%3alogic 用的人多吗?

公开数据是累计安装 436 次,近一周安装 18 次,下载 143 次,GitHub 280 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ppw%3alogic 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ppw%3alogic

PPW 3alogic 搜索 · 本页

436280执行命令未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Purpose

This Skill reads a full academic paper and verifies logical consistency across its sections. It identifies four types of issues — argument chain gaps (AC-), unsupported claims (UC-), terminology inconsistencies (TI-), and number contradictions (NC-) — and produces a two-part bilingual report. Part 1 maps each section's primary claim as an Argument Chain View table, showing how claims connect (or fail to connect) from Introduction through Conclusion. Part 2 categorizes every identified issue with a problem description, an impact statement, and a one-sentence directional suggestion, each followed by an inline Chinese translation. The Skill never rewrites text; it identifies and suggests only.

Core Prompt

Source: awesome-ai-research-writing — 逻辑检查
# Role
你是一位负责论文终稿校对的学术助手。你的任务是进行"红线审查",确保论文没有致命错误。

# Task
请对我提供的【英文 LaTeX 代码片段】进行最后的一致性与逻辑核对。

# Constraints
1. 审查阈值(高容忍度):
   - 默认假设:请预设当前的草稿已经经过了多轮修改与校正,质量较高。
   - 仅报错原则:只有在遇到阻碍读者理解的逻辑断层、引起歧义的术语混乱、或严重的语法错误时才提出意见。
   - 严禁优化:对于"可改可不改"的风格问题、或者仅仅是"换个词听起来更高级"的建议,请直接忽略,不要通过挑刺来体现你的存在感。

2. 审查维度:
   - 致命逻辑:是否存在前后完全矛盾的陈述?
   - 术语一致性:核心概念是否在没有说明的情况下换了名字?
   - 严重语病:是否存在导致句意不清的中式英语(Chinglish)或语法结构错误。

3. 输出格式:
   - 如果没有上述"必须修改"的错误,请直接输出中文:[检测通过,无实质性问题]。
   - 如果有问题,请使用中文分点简要指出,不要长篇大论。

Trigger

Activates when the user asks to:

  • Check, verify, or find logical problems in their paper
  • 检查论文逻辑、验证论证链、帮我找逻辑问题

Example invocations:

  • "Check the logic of my paper" / "检查我的论文逻辑"
  • "Verify argument chain across sections" / "验证论文各章节论证是否自洽"
  • "Find logical inconsistencies in my draft" / "帮我找论文里的逻辑问题"

Modes

ModeDefaultBehavior
directYesSingle-pass full-paper analysis, no intermediate confirmation steps
batchNot supported — cross-section logic verification requires full-paper context

Default mode: direct. User provides the paper and receives a complete two-part logic report.

References

Required (always loaded)

Logic verification loads references/bilingual-output.md to govern the Chinese translation format and opt-out behavior. No expression pattern leaves are needed, and anti-AI patterns are not loaded (consistent with Reviewer Simulation Skill convention). Logic verification is also journal-agnostic; no journal templates are loaded.

Leaf Hints

None.

Ask Strategy

Before starting, ask about:

  1. Input format: file path or pasted text? (skip if obvious from how the user invoked the Skill)
  2. Section structure: ask only if section boundaries are unclear from the input (e.g., unnumbered prose without headings)

Rules:

  • In direct mode with sufficient input, proceed without pre-questions.
  • Do not ask more than 1 question before starting analysis.
  • Use Structured Interaction when available; fall back to a single plain-text question otherwise.

Workflow

Step 0: Workflow Memory Check

  • Read .planning/workflow-memory.json. If file missing or empty, skip to Step 1.
  • Check if the last 1-2 log entries form a recognized pattern with ppw:logic that has appeared >= threshold times in the log. See skill-conventions.md > Workflow Memory > Pattern Detection for the full algorithm.
  • If a pattern is found, present recommendation via AskUserQuestion:

- Question: "检测到常用流程:[pattern](已出现 N 次)。是否直接以 direct 模式运行 ppw:logic?" - Options: "Yes, proceed" / "No, continue normally"

  • If user accepts: set mode to direct, skip Ask Strategy questions.
  • If user declines or AskUserQuestion unavailable: continue in normal mode.

Step 1 — Input Guard

  • Accept input as a file path (Read tool) or pasted text from conversation.
  • Full-paper guard: If input appears to be partial — single section heading only, fewer than ~500 words, or missing Methods/Results/Discussion markers — refuse with: "Cross-section verification requires the full paper. Please provide the complete manuscript."
  • Parse section structure: identify section boundaries and titles exactly as they appear in the paper.
  • Record workflow: Append {"skill": "ppw:logic", "ts": "<ISO timestamp>"} to .planning/workflow-memory.json. Create file as [] if missing. Drop oldest entry if log length >= 50.

Step 2 — Analyze Four Issue Types

  • Follow the Core Prompt constraints above as the primary instruction set — especially the high-tolerance threshold and the "仅报错原则".

Run all four issue-type checks before building the Argument Chain View table. The table Status column is derived from the issues found in this step.

Argument Chain Gaps (AC-)
  • Map each section's primary research claim or contribution.
  • Check: Does the Introduction claim get supported by the Methods design?
  • Check: Do the Results address the measurements stated in Methods?
  • Check: Does the Discussion draw conclusions that follow from the Results?
  • Check: Does the Conclusion match the findings stated in the Discussion?
  • For each chain break, create Issue AC-N with the relevant section references.
Unsupported Claims (UC-)
  • Scan for assertive statements that lack evidence, a citation, or a data reference.
  • Focus on bold claims in Introduction and Discussion sections.
  • For each unsupported claim, create Issue UC-N quoting the exact claim text.
Terminology Inconsistencies (TI-)
  • Track all technical terms and model/method names introduced in the Introduction.
  • Compare usage across all sections for variation: explicit renames, abbreviations introduced mid-paper, mixed use of formal and informal names.
  • For each inconsistency, create Issue TI-N quoting ALL variant terms verbatim with their section locations.
  • If an abbreviation is defined on first use in the Introduction, do not flag it as an inconsistency.
Number Contradictions (NC-)
  • Extract quantitative values stated in the Introduction (sample size, accuracy claims, improvement figures).
  • Compare against values stated in Results and Conclusion.
  • For each discrepancy, create Issue NC-N quoting both values and their locations.
  • Ignore numbers in non-quantitative contexts (figure labels, section numbers, footnote markers).

Step 3 — Build Part 1 Argument Chain View

  • After AC- analysis is complete, build the table using analysis evidence.
  • Status = "Connected" only when no AC- issue spans that section pair.
  • Status = "Gap" when one or more AC- issues involve that section transition.
  • Use section titles exactly as they appear in the paper.

Step 4 — Write Report

  • Opt-out check: Before assembling the report, scan the user's original trigger prompt for any of these phrases (case-insensitive, exact phrase match): english only, no bilingual, only english, 不要中文. If any phrase is detected: omit all > **[Chinese]**... blockquotes from the report -- produce English-only issue entries. If none detected: include Chinese blockquotes as normal.
  • Assemble the two-part report (see Output Contract for locked format).
  • Report presents Part 1 table first (readability), then Part 2 categorized issues.
  • File input: Derive output filename as {input_filename_without_ext}_logic.md; write using Write tool.
  • Pasted text input: Present report in conversation.
  • State issue count summary at the end: "Found N issues: X AC-, Y UC-, Z TI-, W NC-."

Output Contract

OutputFormatCondition
logic_reportMarkdown file {input_filename_without_ext}_logic.mdFile input
logic_reportConversation outputPasted text input

Locked two-part report format:

# Logic Verification Report

**Paper:** [title or filename]
**Date:** [date]

## Part 1 — Argument Chain View

| Section | Primary Claim | Connects To | Status |
|---------|--------------|-------------|--------|
| Introduction | [claim] | Methods | Connected / Gap |
| Methods | [claim] | Results | Connected / Gap |
| Results | [claim] | Discussion | Connected / Gap |
| Discussion | [claim] | Conclusion | Connected / Gap |
| Conclusion | [claim] | — | Terminal |

## Part 2 — Categorized Issue List

### Argument Chain Gaps

**Issue AC-1: [Descriptive Title]**
**Section:** [Introduction]
**Problem:** [description]
**Why this matters:** [impact on argument coherence]
**Suggestion:** [one-sentence directional suggestion]
> **[Chinese]** 问题:... 为什么重要:... 建议:...

### Unsupported Claims

**Issue UC-1: [Descriptive Title]**
[same three-part structure + Chinese blockquote]

### Terminology Inconsistencies

**Issue TI-1: [Descriptive Title]**
[same structure — quote exact verbatim terms from the paper]

### Number Contradictions

**Issue NC-1: [Descriptive Title]**
[same structure]

Notes:

  • Part 1 Argument Chain View table is English only (structural, not language-sensitive).
  • Part 2 issue entries are bilingual: English problem/why/suggestion followed immediately by > **[Chinese]**... blockquote.
  • Issue numbering is consecutive within each category (AC-1, AC-2, …; UC-1, UC-2, …).

Edge Cases

SituationHandling
Input is partial (single section or < 500 words)Refuse: "Cross-section verification requires the full paper. Please provide the complete manuscript."
Paper has no Discussion (e.g., Results → Conclusion directly)Adapt chain view to actual sections present; note missing sections in the table with "N/A"
Paper uses Chinese section titlesUse Chinese titles as-is in the table and all section references
No issues found in a categoryInclude the category heading in Part 2 with "No issues identified in this category."
User asks Skill to rewrite identified issuesDecline: "This Skill identifies issues and suggests directions only. Use the Polish Skill for rewriting."
Numbers appear in non-quantitative context (figure labels, section numbers)Ignore; focus on empirical claims and quantitative results only
Abbreviation is defined on first use in IntroductionDo not flag as a TI- inconsistency; defined abbreviations are intentional

Fallbacks

ScenarioFallback
Structured Interaction unavailableProceed in direct mode without pre-questions; ask file-vs-pasted via plain text only if genuinely unclear
Read tool fails (file not found or unreadable)Ask user to paste the paper text instead
Write tool failsPresent the logic report in conversation; advise user to save manually as _logic.md
Paper is extremely long (> 20,000 words)Warn: "Analysis may be approximate for very long manuscripts." Offer to focus on specific section pairs if needed

Examples

Minimal invocation (file input):

User: "Check the logic of my draft: /papers/urban_model.pdf"

*Ask Strategy (direct mode — file path provided, proceeding without pre-questions)*

*Step 2 analysis runs: AC-1 found (Introduction→Methods chain break), TI-1 found (terminology variant)* *Step 3 derives Status column from AC-1*

Truncated output (urban_model_logic.md):

# Logic Verification Report

**Paper:** urban_model.pdf
**Date:** 2026-03-12

## Part 1 — Argument Chain View

| Section | Primary Claim | Connects To | Status |
|---------|--------------|-------------|--------|
| Introduction | Urban sprawl prediction framework proposed | Methods | Gap |
| Methods | Gradient boosting model trained on parcel data | Results | Connected |
| Results | 82% accuracy on hold-out set | Discussion | Connected |
| Discussion | Model generalizes to mid-size cities | Conclusion | Connected |
| Conclusion | Framework advances urban planning practice | — | Terminal |

## Part 2 — Categorized Issue List

### Argument Chain Gaps

**Issue AC-1: Introduction Framework Not Reflected in Methods Design**
**Section:** [Introduction], [Methods]
**Problem:** The Introduction proposes a "multi-scale prediction framework," but Methods describes a single-scale gradient boosting model with no multi-scale architecture.
**Why this matters:** Reviewers will note the mismatch between the stated contribution and the actual implementation, undermining the novelty claim.
**Suggestion:** Either update the Introduction to describe a single-scale model, or add a multi-scale component to Methods with justification.
> **[Chinese]** 问题:引言提出"多尺度预测框架",但方法章节仅描述单尺度梯度提升模型,无多尺度架构。为什么重要:审稿人会注意到声明贡献与实际实现之间的不一致,削弱新颖性声明。建议:修改引言以描述单尺度模型,或在方法中补充多尺度组件并加以说明。

### Unsupported Claims

No issues identified in this category.

### Terminology Inconsistencies

**Issue TI-1: "Urban Sprawl Prediction Framework" vs. "Urban Growth Model"**
**Section:** [Introduction, 第2段], [Methods, 第1段]
**Problem:** The Introduction uses "urban sprawl prediction framework" while Methods refers to the same system as "urban growth model" without an explicit rename or definition.
**Why this matters:** Readers and reviewers may interpret these as different systems, reducing clarity.
**Suggestion:** Choose one term and use it consistently throughout, or introduce the alternative as a defined synonym on first use.
> **[Chinese]** 问题:引言使用"城市蔓延预测框架",方法章节将同一系统称为"城市增长模型",未作明确说明。为什么重要:读者和审稿人可能将其理解为不同系统,降低论文清晰度。建议:统一使用一个术语,或在首次出现时将替代名称定义为同义词。

### Number Contradictions

No issues identified in this category.

Found 2 issues: 1 AC-, 0 UC-, 1 TI-, 0 NC-.


*Skill: logic-skill* *Conventions: references/skill-conventions.md*

平台分布

Codex

37.56%
按下载量换算54

Claude

32.24%
按下载量换算46

Cursor

17.03%
按下载量换算24

Gemini CLI

8.62%
按下载量换算12

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:logic 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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