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 Nero1688/claude-academic-skills --skill response-letter-craftsmangit clone --depth 1 https://github.com/Nero1688/claude-academic-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/nero1688/claude-academic-skills/response-letter-craftsman)<a href="https://agentmods.dev/skills/nero1688/claude-academic-skills/response-letter-craftsman"><img src="https://agentmods.dev/badge/skills/nero1688/claude-academic-skills/response-letter-craftsman/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/nero1688/claude-academic-skills/response-letter-craftsman"><img src="https://agentmods.dev/badge/skills/nero1688/claude-academic-skills/response-letter-craftsman.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 | $0.00384 | $0.01571 |
| Opus 5 | $0.00192 | $0.00785 |
| Sonnet 5 | $0.00077 | $0.00314 |
| Haiku 4.5 | $0.00038 | $0.00157 |
Grade A, and why
response-letter-craftsman 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.
What it actually says
審查回覆信工匠(Response Letter Craftsman)
工作流程
Step 1|意見拆解與分診(先做這個,不急著寫信)
把 decision letter 與每位審查人意見逐則編號(R1-1、R1-2、R2-1…),一則意見 只含一個要求,複合意見拆開。每則標:
- 類型:方法補做/理論重構/文獻補充/寫作調整/誤解澄清/品味偏好。
- 同意度:全盤接受/部分接受/有理由不改(第三種要極度節制,見紅線)。
- 工作量:小時級/天級/週級——給使用者排程用。
- 矛盾偵測:不同審查人要求相反的,立刻標出,進 Step 3 外交程序。 產出分診表,和使用者確認處理策略後才動筆。
Step 2|逐點回覆(point-by-point,文體核心)
每一點四段式,格式見 references/letter-templates.md:
- 復述:原文引用或忠實摘要該意見(證明沒有斷章取義)。
- 回應:感謝+立場(接受/部分接受/說明),一~三句。
- 修改內容:實際做了什麼——新增的分析、改寫的段落、新表格。引用修訂稿 的實際新文字(用引用格式或色字說明),不是空話「我們已修改」。
- 位置:頁碼+節號+行號(p.12, §4.2, lines 3–15),讓審查人一翻就到。
Step 3|特殊情境的外交手段
- 審查人互相矛盾:向 editor 的信中點明(禮貌、不告狀),說明採取的立場與理由; 對兩位審查人各自回覆時都要承認對方觀點的價值。
- 審查人誤解:永遠先自省「是我寫得不清楚」——回應寫「我們原文未能表達清楚, 已改寫如下」,絕不寫「審查人誤讀了」。誤解的責任修辭上永遠歸作者。
- 有理由不改:一封信最多 1–2 處,且必須:承認意見價值→給出具體理由(資料 不可得/超出範圍/與研究目的衝突)→提供折衷(加註腳、放限制節、列未來研究)。 超過兩處不改=實質上在拒絕修訂,發表機率驟降,要警告使用者。
- 對 editor 的 cover note:一頁內,總結三~五項主要修改,語氣比對 reviewer 更精簡。
Step 4|交叉核對(出信前的硬檢查)
- 每一則意見都有對應回覆(逐則編號對帳,零遺漏)。
- 每一個「我們已修改」都真的存在於修訂稿(逐項核對頁碼行號)——宣稱有改 而沒改,是 desk reject 級的誠信問題。
- 頁碼行號以修訂稿最終版為準(改版後行號會漂移,最後才填)。
- 建議搭配 thesis-consistency-audit 跑修訂稿,確保新增分析沒有製造新的不一致。
紅線
- 絕不代造「已補做的分析」:使用者沒真的跑的迴歸,回覆信不能宣稱跑了。 需要補做的,列成待辦交給 r-spss-syntax-architect,做完才寫進信。
- 不攻擊審查人,不陰陽怪氣(「as the reviewer surely knows…」這類全部禁止)。
- 感謝要具體不諂媚:「這個建議讓穩健性檢驗更完整」可以,「審查人高瞻遠矚」不行。
- 期刊有自己的回覆格式規定時,以期刊 guide for authors 為準。
What ships with it
1 file 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 · 57 lines · 384 tokens per session scan A 543185369435
response-letter-craftsman is a skill published in the GitHub repository Nero1688/claude-academic-skills (6 stars, last pushed 9d ago), licensed MIT. It adds 384 tokens to every session and 1,571 once invoked, about $0.0019 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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