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Sync ParaSkill detect-presentation-gaming

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  1. LICENSE +21 -0
  2. README.md +56 -0
  3. SKILL.md +110 -0
  4. agents/openai.yaml +4 -0
LICENSE ADDED
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+ MIT License
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+
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+ Copyright (c) 2026 bhxdianzhang
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+
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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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+
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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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+
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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.
README.md ADDED
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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: DetectPresentationGaming
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+ ---
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+
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+ # DetectPresentationGaming
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+
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+ `detect-presentation-gaming` is a ParaSkill research workflow skill for the `checker` family.
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+
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+ ## Purpose
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+
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+ Detect whether a paper's perceived strengths come from genuine substance or from presentation gaming — strength inflation, parroting of self-positioning language, or "first/fundamental/comprehensive" claims without evidence. The defensive flip of ARGAR: turn its attack knowledge into a detector so authors and reviewers can catch repackaging. Use to audit a draft (or a revision) before submission.
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+
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+ ## Metadata
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+
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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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+
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+ ## Included Files
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+
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+ ```text
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+ DetectPresentationGaming/
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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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+
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+ `SKILL.md` is the executable skill instruction. `README.md` is the Hugging Face card.
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+
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+ ## Installation
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+
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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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+
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+ ```bash
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+ mkdir -p ~/.codex/skills
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+ cp -r DetectPresentationGaming ~/.codex/skills/detect-presentation-gaming
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+ ```
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+
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+ ## Source
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+
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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.
SKILL.md ADDED
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+ ---
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+ name: detect-presentation-gaming
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+ description: >-
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+ Detect whether a paper's perceived strengths come from genuine substance or
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+ from presentation gaming — strength inflation, parroting of self-positioning
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+ language, or "first/fundamental/comprehensive" claims without evidence. The
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+ defensive flip of ARGAR: turn its attack knowledge into a detector so authors
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+ and reviewers can catch repackaging. Use to audit a draft (or a revision)
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+ before submission.
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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: [presentation gaming, strength inflation, parroting, overclaim detection, repackaging, gaming AI review, 包装, 夸大, gaming]
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+ required_inputs: [paper_context, claimed_strengths, evidence]
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+ optional_inputs: [reviews]
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+ handoff_to: [detect-limitation-laundering, enforce-content-preservation-zones, identify-fatal-concerns]
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+ ---
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+
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+ # Detect Presentation Gaming
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+
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+ ## Purpose
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+
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+ 检测一篇论文的 perceived strengths 是来自**真实实质**还是 **presentation gaming**——strength inflation(把局部结果包装成普遍贡献)、parroting(照搬论文自我标定词当优点)、无证据的 "first/fundamental/comprehensive"。这是 ARGAR 攻击知识的**防御翻转**:把"怎么 gaming"变成"怎么检测 gaming",让作者/审稿人在投稿前抓住 repackaging。
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+
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+ ## When to Use
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+
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+ - 投稿前自查:我的优点是实质还是包装?
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+ - 审视一次修改是否在 gaming(对比改前改后)。
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+ - 作为 reviewer,判断一篇 strengths 是否 inflation。
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+
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+ ## Do Not Use
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+
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+ - 只查 limitation 是否被 laundering → 用 `detect-limitation-laundering`。
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+ - 查修改是否越界改了数字/公式 → 用 `enforce-content-preservation-zones`。
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+ - 想找致命 concern → 用 `identify-fatal-concerns`。
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+
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+ ## Required Inputs
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+
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+ - `paper_context`: 全文(定位证据)
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+ - `claimed_strengths`: 论文(或修改)声称的 strengths
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+ - `evidence`: 论文内可用的证据
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+
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+ ## optional Inputs
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+
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+ - `reviews`: 已有 review(看 reviewer 是否被 parroting 带偏)
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+
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+ ## Output Contract
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+
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+ 输出必须包含:
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+
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+ 1. **per_strength_verdict** — 每条 claimed_strength:genuine / inflated / parroted + 依据。
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+ 2. **inflation_evidence** — 哪些措辞("first/comprehensive/fundamental")无证据支撑。
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+ 3. **parroting_instances** — reviewer(若有)复述论文自我标定词的地方。
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+ 4. **substance_gap** — perceived strength 与真实 evidence 的落差。
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+ 5. **verdict** — overall: clean / borderline / gamed,附最关键的 1-2 个问题。
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+
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+ ## Procedure
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+
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+ 1. 逐条 claimed_strength 核对是否有 paper 内实质证据。
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+ 2. 标 inflation 措辞(无证据的强词)。
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+ 3. 若有 reviews,看 reviewer 是否 parrot 论文标定词(ARGAR 的典型信号)。
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+ 4. 量化 substance_gap,给 verdict。
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+
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+ ## Quality Bar
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+
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+ 一个好的输出必须:
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+
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+ - 每条 verdict 指向可核查证据(或其缺失)。
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+ - 区分"措辞夸张但有事"与"纯包装无证据"。
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+ - parroting 有具体复述实例。
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+
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+ 一个差的输出:
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+
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+ - 笼统"有夸大"无指向。
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+ - 把正常强调误判为 inflation。
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+ - 忽视 reviewer parroting 信号。
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+
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+ ## Failure Modes
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+
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+ - **误判正常强调**:有证据的强措辞被当 inflation。
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+ - **漏 parroting**:reviewer 复述词没被抓。
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+ - **只看措辞不看证据**:把"comprehensive"一刀切。
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+
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+ ## Handoff
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+
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+ - 发现 limitation 被不诚实处理 → `detect-limitation-laundering`
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+ - 发现改动了数字/公式 → `enforce-content-preservation-zones`
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+ - gamed 的 strength 关联致命问题 → `identify-fatal-concerns`
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+
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+ ## Example
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+
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+ Input:
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+
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+ ```
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+ claimed_strengths: ["the first method addressing a fundamental gap"]
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+ evidence: [Fig2 三任务曲线;method §3]
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+ ```
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+
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+ Output(节选):
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+
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+ ```
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+ per_strength_verdict:
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+ - "first/fundamental" → inflated。"first"无检索依据;"fundamental"无理论支撑;实质证据仅 Fig2(局部)。
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+ inflation_evidence: "first", "fundamental" 无对应证据。
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+ substance_gap: 实质=局部不饱和;措辞=首创/根本。落差大。
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+ verdict: gamed(borderline)。建议降措辞为"we show interaction rounds are a scalable resource, with unsaturated gains (Fig2)"。
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+ ```
agents/openai.yaml ADDED
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+ interface:
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+ display_name: "Detect Presentation Gaming"
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+ short_description: "Detect whether a paper's perceived strengths come from genuine substance or from presentat"
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+ default_prompt: "Use $detect-presentation-gaming for this research-writing task."