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 research-framework-figuregit 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/research-framework-figure)<a href="https://agentmods.dev/skills/nero1688/claude-academic-skills/research-framework-figure"><img src="https://agentmods.dev/badge/skills/nero1688/claude-academic-skills/research-framework-figure/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/research-framework-figure"><img src="https://agentmods.dev/badge/skills/nero1688/claude-academic-skills/research-framework-figure.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 | $0.00585 | $0.03790 |
| Opus 5.5 | $0.00234 | $0.01516 |
| Sonnet 5.5 | $0.00117 | $0.00758 |
| Haiku 4.5 | $0.00059 | $0.00379 |
Grade A, and why
research-framework-figure 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 19d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
研究架構圖產生器（Research Framework Figure）
畫圖前先讀 references/visual-discipline.md（視覺紀律，與 management-figure
共用）：密度上限、單一強調色、節點存在理由、標籤經濟、黑白可讀性、連線衛生等判準
都在那裡，不要憑感覺排版。
不在 template 內的示意圖（第一章研究流程圖、類型學 2×2、多層次巢套、構念樹、政策時間軸）
先讀 references/diagram-type-selector.md 選型；同一模型要出口試或海報版時讀
references/output-tiers.md——換用途＝重畫，不是縮放。
與同族 skill 分工
| 需求 | 該用 |
|---|---|
| 已經有迴歸係數／CI，要畫統計結果圖（森林圖、交互作用圖、倒U轉折點、邊際效果） | management-figure |
| 還沒跑資料，要畫假說關係的概念圖（X→M→Y、H1/H2/H3） | 本 skill |
| 要決定用什麼識別策略（DiD／IV／RDD）、模型該怎麼設定 | causal-inference-architect |
| 要把圖放進簡報、決定簡報整體結構 | academic-pptx（本 skill 產圖供其嵌入） |
一句話：有係數了找 management-figure，還在畫假說找我。
Claude Code 環境呼叫同族技能須加 anthropic-skills: 前綴。
核心原則
- 模型邏輯由研究者定，我只負責畫。 若使用者的模型設定本身有問題（例如把調節
變數的箭頭指向依變數而非路徑），提醒一次並說明學術慣例（見
references/diagram-conventions.md），但最終照使用者決定畫。 - 字型誠實：SVG 的 font-family 一律寫成
Times New Roman, DFKai-SB, serif—— 西文在前、中文 fallback 到標楷體，這是 SVG 實現「中文標楷體＋英數 Times New Roman」 的正確作法。但若檢視端沒有標楷體，中文會 fallback 成其他字型；此時明講 「本環境／檢視端無標楷體，實際顯示為 ○○，投稿前請於有字型的機器確認」， 絕不假裝已套用（同management-figure紀律）。 - 產出必須可再編輯：一律給向量格式。SVG 給編修與插入 Word；PPTX 給口試前微調。 不以 PNG 為主要交付（點陣圖改不動，口試前臨時要改字會卡死）。
- 不塞爆版面：控制變數多於 12 項時，建議改列在圖下方註解或表格，不要硬塞進框內 （框會長到破壞版面比例）。這是版面判斷，要主動提醒。
- 產圖後必須實際檢視：產出 SVG 後，用瀏覽器實際看，確認無重疊、無出界、箭頭端點
正確，再交付。目前沒有自動幾何檢查（
scripts/count_elements.py只清點元素數、不判斷 重疊）；不要只憑「腳本沒報錯」就宣稱圖是好的。
工作流程
Step 1｜辨識模型類型
從使用者的假說敘述判斷屬於哪一種，對應到 template：
| 使用者的講法 | template |
|---|---|
| 「X 透過 M 影響 Y」「中介效果」，且每個依變數各有一組控制變數 | mediation_dual_controls（台灣商管論文最常見） |
| 「X 透過 M 影響 Y」，控制變數只列一組或不畫 | mediation |
| 「W 會調節 X 對 Y 的影響」「交互作用」 | moderation |
| 「中介效果會因 W 而異」「第一階段被調節」 | moderated_mediation |
| 「X→M1→M2→Y」「連續兩個中介」 | serial_mediation |
| 「文獻回顧的篩選流程」「PRISMA 流程圖」「幾篇文獻篩到剩幾篇」 | sample_flow，mode: "prisma" |
| 「樣本從全樣本篩到最終樣本」「樣本刪減圖」「排除了哪些公司年觀察值」 | sample_flow，mode: "attrition" |
| 「研究流程圖」「2×2 類型」「多層次巢套」「構念樹」「政策時間軸」 | 無 template——依 references/diagram-type-selector.md 選型與文法手繪，照同一套自檢 |
What ships with it
16 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.
- ATTRIBUTION.md 6.8 KB
- references/diagram-conventions.md 4.0 KB
- references/diagram-type-selector.md 6.8 KB
- references/framework-figure-spec.md 14 KB
- references/output-tiers.md 6.3 KB
- references/visual-discipline.md 12 KB
- scripts/count_elements.py 11 KB runs code
- scripts/examples/example-mediation-dual-controls.json 879 B
- scripts/examples/example-moderation.json 258 B
- scripts/examples/example-sample-flow-attrition.json 924 B
- scripts/examples/example-sample-flow-prisma.json 902 B
- scripts/examples/example-serial-mediation.json 373 B
- scripts/examples/README.md 2.5 KB
- scripts/framework_figure.py 59 KB runs code
- scripts/README.md 2.4 KB
- scripts/svg2drawingml.py 14 KB runs code
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.
- 19d ago Changed · +15 lines 5fe36fb89dc3
- 1mo ago Changed · +32 lines · +39 tokens per session 8870e924c408
- 1mo ago First seen · 126 lines · 546 tokens per session scan A 98638ca88ee2
research-framework-figure is a skill published in the GitHub repository Nero1688/claude-academic-skills (13 stars, last pushed 6d ago), licensed MIT. It adds 585 tokens to every session and 3,790 once invoked, about $0.0023 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 2026-09-05.
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