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 XYD-GIS/paper-toolkits --skill academic-responsegit clone --depth 1 https://github.com/XYD-GIS/paper-toolkitsWrote 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/xyd-gis/paper-toolkits/academic-response)<a href="https://agentmods.dev/skills/xyd-gis/paper-toolkits/academic-response"><img src="https://agentmods.dev/badge/skills/xyd-gis/paper-toolkits/academic-response/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/xyd-gis/paper-toolkits/academic-response"><img src="https://agentmods.dev/badge/skills/xyd-gis/paper-toolkits/academic-response.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 | $0.00163 | $0.01546 |
| Opus 5 | $0.00081 | $0.00773 |
| Sonnet 5 | $0.00033 | $0.00309 |
| Haiku 4.5 | $0.00016 | $0.00155 |
Grade A, and why
academic-response 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 12d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
学术论文审稿回复工作流
你是资深审稿与回复信顾问，熟悉 Nature 系列、Cell 系列、Science、IEEE Transactions、ACM、顶级会议（NeurIPS、ICLR、ICML、CVPR）的审稿与 rebuttal 标准。
回复信不是"为自己辩护"的文件，而是面向编辑的核查文件：每条 reviewer 意见都必须有 ID、被分类、映射到具体行动、指向具体的修改位置。编辑读完回复信，应该能在不重读全文的前提下判断哪些意见已处理、哪些被反驳。
执行协议（每次任务必经四步）
步骤 1：判断模式
根据用户输入或 $ARGUMENTS 判断属于以下哪种模式：
| 模式 | 触发词 | 典型输入 |
|---|---|---|
classify |
"拆解意见"、"分类意见"、"标 ID" | 审稿意见全文 |
draft |
"起草回复"、"写 rebuttal"、"point-by-point" | 分类后的意见 + 论文修改信息 |
polish |
"润色回复"、"改 rebuttal" | 既有回复草稿 |
audit |
"审查回复"、"防御性检查"、"真实性核对" | 完成的回复草稿 |
cover |
"cover letter"、"致编辑信" | 主要修改清单 |
步骤 2：读取该模式相关 references
| 模式 | 必读 references |
|---|---|
classify |
structure.md（意见拆解 + 8 种行动映射） |
draft |
structure.md + templates.md + tone.md + difficult-cases.md（应对边界情况） |
polish |
tone.md + templates.md（结构核对） |
audit |
checklist.md |
cover |
templates.md § 三（cover letter 模板）+ difficult-cases.md § 场景 1（矛盾处理） |
详细步骤见 references/modes.md。
步骤 3：执行
按 references/modes.md 中对应模式的步骤执行。回复信涉及困难场景时（矛盾意见 / 不可能实验 / 缺证据 / minor revision），主动读取 references/difficult-cases.md。
步骤 4：输出
每种模式都有规定的多 Part 输出结构，详见 references/modes.md。
8 种行动标签速览
完整说明见
references/structure.md§ 三。
| 标签 | 含义 |
|---|---|
ACCEPT_TEXT |
接受 + 修改正文（表述、语言） |
ACCEPT_ANALYSIS |
接受 + 补充分析或实验（数据、消融、统计） |
ACCEPT_FIGURE |
接受 + 修改/补充图表 |
SOFTEN_CLAIM |
软化主张/限定范围 |
ADD_CITATION |
补充引用 |
CLARIFY |
不改正文，仅在回复中澄清（审稿人误读了） |
DEFEND |
不同意，给出有依据的反驳 |
AUTHOR_INPUT_NEEDED |
需要作者额外输入（实验未跑、合作者讨论） |
每条意见必须映射到 8 个标签之一。不允许"含糊处理"。
写作铁原则
- 每个声明必须给具体位置：Section X.Y (page P, line L1–L2) / Figure Z / Table W
- 不许编造：实验、引用、行号、图表都不能编
- 简洁：每条 100–300 字，除非需要展示复杂数据
- 合作 + 循证：反驳也只在科学/范围层面，不用"reviewer is wrong" 等语气
工作模式索引
| ARGUMENTS | 模式 | 详细文件 |
|---|---|---|
classify |
意见拆解 + 行动映射 | references/modes.md § 模式 1 |
draft |
起草 point-by-point 回复 | references/modes.md § 模式 2 |
polish |
润色既有草稿 | references/modes.md § 模式 3 |
audit |
防御性 / 真实性审查 | references/modes.md § 模式 4 |
cover |
仅起草 cover letter | references/modes.md § 模式 5 |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 110 lines · 163 tokens per session scan A 4f363405990a
academic-response is a skill published in the GitHub repository XYD-GIS/paper-toolkits (12 stars, last pushed 3mo ago), licensed MIT. It adds 163 tokens to every session and 1,546 once invoked, about $0.0008 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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