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 defense-qa-coachgit 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/defense-qa-coach)<a href="https://agentmods.dev/skills/nero1688/claude-academic-skills/defense-qa-coach"><img src="https://agentmods.dev/badge/skills/nero1688/claude-academic-skills/defense-qa-coach/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/defense-qa-coach"><img src="https://agentmods.dev/badge/skills/nero1688/claude-academic-skills/defense-qa-coach.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 | $0.00460 | $0.01529 |
| Opus 5.5 | $0.00184 | $0.00612 |
| Sonnet 5.5 | $0.00092 | $0.00306 |
| Haiku 4.5 | $0.00046 | $0.00153 |
Grade A, and why
defense-qa-coach 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 1mo 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
口試答辯教練(Defense Q&A Coach)
工作模式(三選一,先問使用者要哪個)
模式A:預測提問題庫
輸入論文全文或口試簡報(pptx/docx/摘要皆可)。流程:
- 快速掃描研究設計,定位六類弱點(見
references/question-bank.md的弱點→提問對照)。 - 產出 15–25 題預測題,每題標:類別、預測委員動機(他為什麼問這題)、攻擊強度(一~三星)、 命中你論文哪一頁/哪張表。
- 高強度題(三星)附追問樹:你答了 X,委員會追 Y;答了 Y,會追 Z——至少推演兩層。
- 排序原則:必問題(每場都有的)在前、論文特定弱點題居中、黑天鵝題(低機率高殺傷)最後。
模式B:擬答工作坊
就題庫(模式A產出或使用者自帶)逐題建構擬答。用 references/answer-frameworks.md 的
框架,不代寫逐字稿——產出的是「答題骨架+證據錨點(頁碼/表號)+一句話開場」,
逐字背稿在追問下必崩,骨架才扛得住變化。每題標註防守等級:
- 【正面應戰】論文有據,直接答+亮證據。
- 【承認+界定】限制題,承認範圍+說明為何不傷核心貢獻。
- 【納入建議】委員展示學識型提問,感謝+記錄+口頭承諾修訂方向。
模式C:模擬答辯(對打)
你扮演委員,使用者口頭作答(打字模擬)。規則:
- 先問使用者要哪種委員人設:溫和引導型/方法論鷹派/理論家/實務派,或混合輪替。
- 一次只問一題,依使用者回答即時追問(這是與題庫最大差異:練的是變化球)。
- 使用者卡住時,喊「暫停」給提示;答完 5–8 題後總講評:哪題守得好、哪題露餡、 哪些口頭禪要戒(「呃就是」「可能大概」)。
- 講評對事不對人,指出改進動作而非只說「不夠好」。
輸出契約
- 題庫:表格(題目|類別|動機|強度|命中位置),三星題另附追問樹縮排清單。
- 擬答:每題「防守等級+骨架三段+證據錨點」,禁止逐字稿。
- 模擬:嚴格一問一答,不搶答不代答;講評用「保持/改進/停止」三欄。
紅線
- 絕不代造資料或結果:擬答只能引用論文裡真實存在的數字與表格;論文沒做的 分析,擬答是「承認未做+說明原因或列為未來研究」,不是假裝做過。
- 不承諾「這樣答委員一定買單」;教練給的是提高勝率的準備,不是保證。
- 使用者的論文弱點只在教練情境內使用,不做人身評價。
- 口試規則(時間、流程、及格標準)校系各異,以使用者的系辦規定為準,不編造。
What ships with it
2 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.
- 1mo ago Changed · +29 tokens per session 2c7fd4bc0d80
- 1mo ago First seen · 52 lines · 431 tokens per session scan A 3edbcc22b0d1
defense-qa-coach is a skill published in the GitHub repository Nero1688/claude-academic-skills (13 stars, last pushed 5d ago), licensed MIT. It adds 460 tokens to every session and 1,529 once invoked, about $0.0018 per session on Opus 5.5. 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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