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 malue-ai/dazee-small --skill literature-reviewergit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/literature-reviewer)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/literature-reviewer"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/literature-reviewer/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/malue-ai/dazee-small/literature-reviewer"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/literature-reviewer.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 | $0.00028 | $0.00713 |
| Opus 5 | $0.00014 | $0.00357 |
| Sonnet 5 | $0.00006 | $0.00143 |
| Haiku 4.5 | $0.00003 | $0.00071 |
Grade A, and why
literature-reviewer 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.
What it actually says
多文献对比分析
对比分析多篇论文或文档，生成文献综述表格，发现研究空白。
使用场景
- 用户说「帮我对比一下这几篇论文」
- 用户需要写文献综述
- 用户想了解某个领域的研究现状
工作流程
输入方式
- 用户提供文本：直接粘贴论文摘要或全文
- 用户提供文件：PDF/Word 文件路径（配合 PDF 读取类 Skill）
- 用户提供论文标题/ID：配合 paper-search / arxiv-search 获取
分析流程
输入：2-10 篇论文/文档
↓
1. 提取每篇的核心信息
- 研究问题
- 方法/技术路线
- 主要发现/结论
- 数据集/实验规模
- 局限性
↓
2. 生成对比表格
↓
3. 分析共性与差异
↓
4. 发现研究空白
↓
5. 输出综述报告
输出格式
对比表格
## 文献对比
| 维度 | 论文 A | 论文 B | 论文 C |
|------|--------|--------|--------|
| 研究问题 | ... | ... | ... |
| 方法 | ... | ... | ... |
| 数据集 | ... | ... | ... |
| 主要发现 | ... | ... | ... |
| 局限性 | ... | ... | ... |
| 年份 | 2024 | 2025 | 2025 |
综述报告
## 文献综述
### 1. 研究现状
[共性总结]
### 2. 方法演进
[技术路线对比和演进关系]
### 3. 主要分歧
[不同论文的结论差异]
### 4. 研究空白
[现有研究未覆盖的领域]
### 5. 未来方向
[基于分析的研究建议]
时间线视图
## 研究时间线
2023.03 → 论文 A：首次提出 XXX 方法
2023.09 → 论文 B：在 A 基础上改进了 YYY
2024.02 → 论文 C：发现 A 和 B 的方法在 ZZZ 场景下失效
2024.11 → 论文 D：提出统一框架解决上述问题
输出规范
- 文献 ≤ 3 篇：直接生成对比表格 + 简要分析
- 文献 4-10 篇：先让用户确认分析维度，再生成
- 表格列宽自适应，内容简洁（每格不超过 30 字）
- 引用格式：[作者, 年份] 或 [论文简称]
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 · 106 lines · 28 tokens per session scan A b94821c84ae7
literature-reviewer is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 713 once invoked, about $0.0001 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 2026-08-31.
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