Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yipng05-max/-skills --skill paper-title-abstract-keywordsgit clone --depth 1 https://github.com/yipng05-max/-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yipng05-max/-skills/paper-title-abstract-keywords)<a href="https://agentmods.dev/skills/yipng05-max/-skills/paper-title-abstract-keywords"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/paper-title-abstract-keywords/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yipng05-max/-skills/paper-title-abstract-keywords"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/paper-title-abstract-keywords.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00117 | $0.01931 |
| Opus 5 | $0.00059 | $0.00966 |
| Sonnet 5 | $0.00023 | $0.00386 |
| Haiku 4.5 | $0.00012 | $0.00193 |
Grade A, and why
paper-title-abstract-keywords scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
学术论文标题 / 摘要 / 关键词生成
三步走,每步提供多个选项 + 理由,用户选定后进入下一步。
启动:收集必要信息
启动时收集(在 ta-research-AFP 中已有的信息自动复用,不重复询问):
- 研究主题与研究问题
- 核心发现:主题汇总表,或简述3–5个主要发现
- 理论定位(A/B/C)及使用的主要理论(如有)
- 目标期刊类型:C刊 / SSCI
第一步:标题生成
生成4个候选标题,覆盖不同写作角度,每个附完整分析。
四种标题角度:
A. 现象聚焦型
- 格式参考:
[研究对象]的[核心经验/行为/过程]:基于[N]位[被访者]的主题分析 - 特点:前置研究对象和核心现象,方法清晰可见
B. 理论对话型
- 格式参考:
[理论概念]视角下[研究对象]的[机制/过程]研究 - 特点:前置理论贡献,适合理论驱动型(A定位)研究
C. 问题导向型
- 格式参考:
[研究对象]如何[行动/应对/经历][研究现象]?——基于[N]位[被访者]的质性研究 - 特点:直接提出研究问题,读者即刻理解研究意图
D. 结论导向型
- 格式参考:
[核心发现/命名]:[研究对象]在[情境]中的[经验/机制] - 特点:以核心发现为题眼,最具吸引力,但需要发现足够清晰可命名
输出格式:
━━ 候选标题 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
【选项 A】现象聚焦型
标题:[具体标题]
角度:前置[研究对象]和[核心现象],方法标注清晰
期刊适配:C刊(审稿人易判断研究范围)/ SSCI 均可
优势:[说明]
风险:[说明]
【选项 B】理论对话型
标题:[具体标题]
角度:前置[理论概念],信号该研究具有理论贡献
期刊适配:更适合 [C刊/SSCI](理由:[说明])
优势:[说明]
风险:[说明]
【选项 C】问题导向型
标题:[具体标题]
角度:直接提出研究问题,读者即刻理解研究意图
期刊适配:均可
优势:[说明]
风险:[说明]
【选项 D】结论导向型
标题:[具体标题]
角度:以[核心发现名称]为题眼,最具吸引力
期刊适配:更适合 [C刊/SSCI](理由:[说明])
优势:[说明]
风险:需要发现足够清晰,否则标题会显得空洞
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
请选择一个标题(A/B/C/D),或说明修改方向。
⚠️ 硬停止点:等待用户选定标题后,进入第二步。
第二步:摘要生成
基于已选定的标题,生成3个摘要版本,每个附结构说明和适用场景。
三种摘要结构:
版本A:标准顺序结构 顺序:研究背景 → 研究问题 → 方法 → 核心发现 → 理论贡献 特点:最常见结构,各要素清晰,审稿人易于逐项评估 篇幅:C刊 250–350字;SSCI 150–200词
版本B:贡献前置结构 顺序:核心贡献声明 → 如何得出(方法+数据)→ 主要发现 → 理论意义 特点:首句直接陈述研究贡献,吸引力强,适合贡献清晰的研究 篇幅:C刊 250–300字;SSCI 150–200词
版本C:发现前置结构 顺序:核心发现 → 研究背景与问题 → 方法 → 理论贡献 特点:以最重要的发现开头,适合发现特别突出、读者最想知道"结论是什么"的研究 篇幅:视期刊要求而定,同版本A
输出格式:
━━ 候选摘要 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
【版本 A】标准顺序结构([字数]字)
结构:背景 → 问题 → 方法 → 发现 → 贡献
适配:C刊首选,SSCI 均可
---
[摘要正文]
---
【版本 B】贡献前置结构([字数]字)
结构:贡献声明 → 如何得出 → 发现 → 意义
适配:SSCI 首选,研究贡献清晰时也适合 C刊
---
[摘要正文]
---
【版本 C】发现前置结构([字数]字)
结构:发现 → 背景 → 方法 → 贡献
适配:发现特别突出的研究,C刊/SSCI 均可
---
[摘要正文]
---
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
请选择一个版本(A/B/C),或说明修改方向。
⚠️ 硬停止点:等待用户选定摘要后,进入第三步。
第三步:关键词生成
基于已选定的标题和摘要,生成2组关键词方案,每组5–8个词,每个词附纳入理由。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 221 lines · 117 tokens per session scan A 7a4ac47146e0
paper-title-abstract-keywords is a skill published in the GitHub repository yipng05-max/-skills (285 stars, last pushed 4mo ago), licensed MIT. It adds 117 tokens to every session and 1,931 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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