Borrowing it
Nothing to install: this file belongs to ZimoLiao/scholaraio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ZimoLiao/scholaraio/main/.claude/skills/show/SKILL.mdgit clone --depth 1 https://github.com/ZimoLiao/scholaraioWrote 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/zimoliao/scholaraio/show)<a href="https://agentmods.dev/skills/zimoliao/scholaraio/show"><img src="https://agentmods.dev/badge/skills/zimoliao/scholaraio/show/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/zimoliao/scholaraio/show"><img src="https://agentmods.dev/badge/skills/zimoliao/scholaraio/show.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00681 |
| Opus 5 | $0.00016 | $0.00341 |
| Sonnet 5 | $0.00007 | $0.00136 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
show 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 10d 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.
What it actually says
查看论文内容
按分层结构查看指定论文的内容。支持 L1（元数据）、L2（摘要）、L3（结论）、L4（全文）四个层次。
执行逻辑
-
解析用户输入，提取：
- paper-id：论文标识符（目录名 / UUID / DOI 均可）
- layer：查看层次（1-4），默认
--layer 2（输出包含 L1 元数据 + L2 摘要）
-
如果用户不确定论文 ID，先用
/search帮用户找到目标论文。 -
执行查看命令：
scholaraio show "<paper-id>" --layer <N>
- 将内容格式化后展示给用户。对于 L4 全文，如果内容过长，先展示摘要并询问用户是否需要完整内容。
层次说明
| 层 | 内容 | 说明 |
|---|---|---|
| L1 | 元数据 | title, authors, year, journal, doi |
| L2 | 摘要 | abstract |
| L3 | 结论 | conclusion（需先运行 enrich-l3） |
| L4 | 全文 | 完整 markdown |
示例
用户说："看一下 Smith-2023-TransformerSurvey 这篇的摘要"
→ 执行 show "Smith-2023-TransformerSurvey" --layer 2
用户说："给我看 Zhang-2024-LLM 的全文"
→ 执行 show "Zhang-2024-LLM" --layer 4
用户说："这篇论文的结论是什么"（上下文中已有论文 ID）
→ 执行 show "<paper-id>" --layer 3
T2 笔记集成
show 命令会自动展示该论文已有的 agent 笔记（notes.md）。笔记来自之前的分析会话，包含已提取的关键发现。
读取规则：
- 调用
show时如果论文有notes.md，内容会显示在标题之后、正文之前 - Agent 应优先利用笔记中的现有信息，避免重复分析
写入规则：
- 当 agent（或 subagent）通过
show阅读论文并进行了分析，必须将值得跨会话保留的发现写入notes.md：
scholaraio show "<paper-id>" --append-notes "## 2025-03-25 | ghia-cavity | 参数提取
- 收敛判据：RMS 残差 < 1e-4
- Re=400 用 257x257 网格
- dt=inf for Re<=3200, dt=0.1 for Re=10000"
- 笔记格式：
## YYYY-MM-DD | workspace/任务来源 | 分析类型
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.
- 10d ago First seen · 62 lines · 33 tokens per session scan A 7907a94c16e9
show is a skill published in the GitHub repository ZimoLiao/scholaraio (570 stars, last pushed 10d ago), licensed MIT. It adds 33 tokens to every session and 681 once invoked, about $0.0002 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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