annota: Skill for Claude Code

.claude/skills/annota-review/SKILL.md

annota-review is a skill for Claude Code from dengls24/annota. It costs 85 tokens per session (997 once invoked), scanned A, original, MIT.

A structured academic paper review from the perspective of a conference reviewer. It reads a paper PDF and assesses originality, technical quality, importance, clarity, and experiments.

In plain words
What is it for?
Reviewing papers for conferences such as MICRO, ISCA, or DAC; assigning scores; identifying strengths and weaknesses; and suggesting specific revisions.
Why use it?
It turns a full paper into organized feedback instead of leaving you to judge every part without a consistent framework.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

This is dengls24/annota's own configuration. It tells Claude Code how to work on annota itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything annota configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dengls24/annota. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dengls24/annota/master/.claude/skills/annota-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dengls24/annota

Made for: Claude Code.

Wrote 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.

agentmods badge for annota-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/dengls24/annota/annota-review/github.svg)](https://agentmods.dev/skills/dengls24/annota/annota-review)
Your own site
<a href="https://agentmods.dev/skills/dengls24/annota/annota-review"><img src="https://agentmods.dev/badge/skills/dengls24/annota/annota-review/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.

agentmods 80×15 button for annota-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/dengls24/annota/annota-review"><img src="https://agentmods.dev/badge/skills/dengls24/annota/annota-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 997 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.00997
Opus 5 $0.00043 $0.00498
Sonnet 5 $0.00017 $0.00199
Haiku 4.5 $0.00009 $0.00100

Measured 11d ago against content hash 62d2953c2d6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

annota-review 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.

.claude/skills/annota-review/SKILL.md · 123 lines

What it actually says

论文审阅

以顶会审稿人视角审阅一篇学术论文,输出结构化评审报告。

输入解析

用户输入:$ARGUMENTS

提取:

  1. 目标论文:PDF 路径或标题
  2. 目标会议(可选):如 MICRO、ISCA、HPCA、ASPLOS、DAC 等。默认按通用学术标准。

工作流程

Step 1:获取论文

search_zotero_items 或直接路径定位 PDF。 用 get_item_metadata 获取元数据。

Step 2:提取全文

调用 get_pdf_text_bulk(item_id, skip_refs=True) 提取正文。

Step 3:深度审阅

仔细阅读全文,从以下维度评估:

评分维度(1-5 分)
维度 评估标准
Novelty (新颖性) 研究问题和解决方案的原创性
Technical Quality (技术质量) 方法的正确性、严谨性、完整性
Significance (重要性) 对领域的潜在影响和实用价值
Clarity (表达清晰度) 写作质量、图表质量、逻辑连贯性
Experimental Evaluation (实验评估) 实验设计、baseline 选择、结果可信度

Step 4:生成审阅报告

按以下格式输出:

## 审阅报告

### 论文信息
- 标题:{title}
- 作者:{authors}
- 目标会议:{venue}

### 总体评价
Overall Score: X/5
Recommendation: [Strong Accept / Accept / Weak Accept / Borderline / Weak Reject / Reject]

一段话总结论文核心贡献和主要问题。

### 分维度评分
- Novelty: X/5 — 简要说明
- Technical Quality: X/5 — 简要说明
- Significance: X/5 — 简要说明
- Clarity: X/5 — 简要说明
- Experimental Evaluation: X/5 — 简要说明

### 优点 (Strengths)
1. [S1] ...
2. [S2] ...
3. [S3] ...

### 缺点 (Weaknesses)
1. [W1] ...
2. [W2] ...
3. [W3] ...

### 详细意见 (Detailed Comments)

逐节给出具体修改建议,包括:
- 引言部分:motivation 是否清晰?
- 方法部分:技术方案是否完整?有无漏洞?
- 实验部分:baseline 是否充分?实验设计是否合理?
- 写作:是否有语法错误、表述不清的地方?

### 小问题 (Minor Issues)
- 具体页码和行的小问题列表

### 给作者的建议
如果要修改重投,最应该改进的 3 个方面。

Step 5:可选 — 保存为笔记

询问用户是否要将审阅报告保存为 Zotero 子笔记。 如果是,用 add_child_note 保存(HTML 格式)。

Step 6:可选 — 标注关键问题

询问用户是否要在 PDF 中标注发现的问题:

  • 技术问题标红色 #ff6666
  • 写作问题标黄色 #ffd400
  • 亮点标绿色 #28CA42

如果是,执行 /annota-annotate 的两阶段流程。

审阅原则

  • 建设性:指出问题的同时给出改进方向
  • 具体:不说"实验不够充分",而说"缺少与 XXX 的对比"
  • 公正:不因写作风格或语言问题过度扣分
  • 专业:评价基于技术内容,不涉及个人偏好
Changes

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.

  1. 11d ago First seen · 123 lines · 85 tokens per session scan A 62d2953c2d6b

Subscribe to this mod's changes

annota-review is a skill published in the GitHub repository dengls24/annota (19 stars, last pushed 4mo ago), licensed MIT. It adds 85 tokens to every session and 997 once invoked, about $0.0004 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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