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 literature-matrix-buildergit 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/literature-matrix-builder)<a href="https://agentmods.dev/skills/nero1688/claude-academic-skills/literature-matrix-builder"><img src="https://agentmods.dev/badge/skills/nero1688/claude-academic-skills/literature-matrix-builder/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/literature-matrix-builder"><img src="https://agentmods.dev/badge/skills/nero1688/claude-academic-skills/literature-matrix-builder.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 | $0.00501 | $0.02204 |
| Opus 5 | $0.00251 | $0.01102 |
| Sonnet 5 | $0.00100 | $0.00441 |
| Haiku 4.5 | $0.00050 | $0.00220 |
Grade A, and why
literature-matrix-builder 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
文獻矩陣建置器（Literature Matrix Builder）
與同族 skill 分工
| 需求 | 該用 |
|---|---|
| 內文引用與參考文獻清單對不對得上、有無孤兒引用 | citation-verifier |
| 這篇文獻真的存在嗎（查 CrossRef/Semantic Scholar/OpenAlex） | check-citations |
| 系統性回顧方法論（PRISMA 流程圖、偏誤風險、meta-analysis） | phd-researcher |
| 建文獻庫、把文獻排開來橫向比較 | 本 skill |
一句話：查引用真偽找那兩支，做正式 SR/MA 找 phd-researcher，
建庫與比較找我。 本 skill 產出的矩陣可直接餵給 phd-researcher 做正式回顧。
Claude Code 環境呼叫同族技能須加 anthropic-skills: 前綴。
核心原則
- 絕不代填綜整欄。 理論視角、主要發現、與本研究的關聯這些欄位， 工具一律留空並標黃底。你可以協助研究者填（讀完 PDF 後一起討論填什麼）， 但絕不憑摘要臆測——摘要看不出研究設計細節，猜出來的內容會一路錯進文獻回顧。
- 撤稿查核在建檔當下做，不等事後。 每次
add自動反查 Crossref 的撤稿通知 （filter=update-type:retraction,updates:{DOI}）。已用陽性／陰性對照實測： 已知被撤論文測得出、三篇正常論文不誤報。 ⚠️ 查核失敗 ≠ 沒被撤稿——工具會標「⚠️ 查核失敗」而非「未發現」， 這個區別攸關學術風險，不可混為一談。 ⚠️ Elsevier 慣例是把撤稿通知放在同一個 DOI（原文被替換成撤稿聲明）。 - 不編造書目。 DOI 查不到就回報「查無」，不要用 LLM 記憶補書目資料—— 那正是幻覺文獻的來源。腳本已內建此行為（CrossRef 404 直接報錯）。
- 摘要有著作權。 CrossRef 回傳的 abstract 著作權通常仍屬出版社。 存進自己的文獻庫供個人研究閱讀屬合理使用，但不要公開重製散布， 文獻回顧中也應改寫轉述而非整段照抄。
- PDF 抽不到 DOI 是常態，不是失敗。 掃描版 PDF（無文字層）、舊文獻、
工作論文都可能沒有 DOI。此時改用
--doi手動指定，或誠實告知該篇需人工建檔。 - 引用代碼要與論文一致。 產出的
key（如Aguinis2012）若與使用者慣用的 BibTeX key 不同，以使用者的為準——這關係到內文引用能否對上。
工作流程
Step 1｜建立文獻庫
python scripts/litmatrix.py init -d ./lit
產生 01_pdf/（PDF 原檔）、02_notes/（閱讀筆記）、03_output/（Excel）
與 library.json（單一事實來源）。
Step 2｜逐篇加入
python scripts/litmatrix.py add -d ./lit --pdf 01_pdf/paper.pdf # 自動找 DOI
python scripts/litmatrix.py add -d ./lit --doi 10.1177/0149206311436079
加入前可先 lookup --doi 確認抓到的書目正確再寫入。
Step 3｜填綜整欄（本 skill 最有價值的一步）
讀完論文後填 library.json 裡的 10 個綜整欄。你在這一步的角色：
陪使用者一起讀、一起判斷，把口語討論轉成矩陣欄位的精簡文字。
欄位定義與填寫判準見 references/matrix-columns.md。
Step 4｜產出 Excel 矩陣
python scripts/litmatrix.py build -d ./lit
產出兩張表：文獻矩陣（黃底＝待填）與待補清單（哪幾篇還缺哪些欄）。
What ships with it
4 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 · 113 lines · 501 tokens per session scan A c29783c5ae0d
literature-matrix-builder is a skill published in the GitHub repository Nero1688/claude-academic-skills (6 stars, last pushed 9d ago), licensed MIT. It adds 501 tokens to every session and 2,204 once invoked, about $0.0025 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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