Borrowing it
Nothing to install: this file belongs to u9401066/nsforge-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/u9401066/nsforge-mcp/master/.claude/skills/nsforge-formula-search/SKILL.mdgit clone --depth 1 https://github.com/u9401066/nsforge-mcpWrote 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/u9401066/nsforge-mcp/nsforge-formula-search)<a href="https://agentmods.dev/skills/u9401066/nsforge-mcp/nsforge-formula-search"><img src="https://agentmods.dev/badge/skills/u9401066/nsforge-mcp/nsforge-formula-search/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/u9401066/nsforge-mcp/nsforge-formula-search"><img src="https://agentmods.dev/badge/skills/u9401066/nsforge-mcp/nsforge-formula-search.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 | $0.00041 | $0.01175 |
| Opus 5 | $0.00020 | $0.00588 |
| Sonnet 5 | $0.00008 | $0.00235 |
| Haiku 4.5 | $0.00004 | $0.00118 |
Grade A, and why
nsforge-formula-search 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 10d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
外部公式搜尋 Skill
⚠️ 搜尋後必須向用戶展示結果！
- 搜尋結果用表格形式列出（名稱、公式、來源）
- 取得詳情後顯示完整 LaTeX 公式
- 物理常數要顯示數值和單位
概述
從外部權威來源（Wikidata、BioModels、SciPy）檢索準確的公式。 使用直接精確檢索（非 RAG），確保公式正確性。
工具速查
| 工具 | 用途 | 來源 |
|---|---|---|
formula_search(query) |
🔍 統一搜尋 | 全部 |
formula_get(id, source) |
📄 取得詳情 | 指定來源 |
formula_categories(source) |
📂 列出分類 | 指定來源 |
formula_pk_models(model_type?) |
💊 PK 模型 | BioModels |
formula_kinetic_laws() |
⚗️ 反應動力學 | BioModels |
formula_constants(category?) |
🔬 物理常數 | SciPy |
來源說明
| 來源 | 內容 | 適用領域 |
|---|---|---|
| Wikidata | P2534 定義公式 | 物理、化學、工程、經濟 |
| BioModels | SBML 模型 | 藥動學、藥效學、酵素動力學 |
| SciPy | scipy.constants |
物理常數、單位換算 |
調用範例
1. 通用搜尋
# 搜尋雷諾數
formula_search("Reynolds number")
# 搜尋熱力學公式
formula_search("entropy", domain="thermodynamics")
# 限定 Wikidata 來源
formula_search("Arrhenius", source="wikidata")
2. 藥動學模型（BioModels）
# 列出所有 PK 模型
formula_pk_models()
# 指定模型類型
formula_pk_models(model_type="two_compartment")
# 可選: one_compartment, two_compartment, michaelis_menten
3. 反應動力學
# 列出所有反應動力學法則
formula_kinetic_laws()
# 包含: Michaelis-Menten, Hill equation, 等
4. 物理常數
# 列出所有常數
formula_constants()
# 按分類
formula_constants(category="electromagnetic")
# 可選: universal, electromagnetic, atomic, physico-chemical
5. 取得詳情
# 用 Wikidata Q 號取得
formula_get(id="Q179057", source="wikidata")
# 用 BioModels ID 取得
formula_get(id="BIOMD0000000001", source="biomodels")
典型工作流
推導時搜尋公式
# 1. 搜尋需要的公式
formula_search("Fick first law")
# 2. 取得詳情（含 LaTeX 和 SymPy 格式）
formula_get(id="Q179057", source="wikidata")
# 3. 在推導中使用（從 formula_get 取得的 sympy_str）
derivation_substitute(
expression="J = -D * grad_C", # 從公式庫取得
variable="J",
value=...,
description="代入 Fick 第一定律"
)
藥動學建模
# 1. 查看可用的 PK 模型
formula_pk_models()
# 2. 取得雙隔室模型詳情
formula_get(id="two_compartment", source="biomodels")
# 3. 直接使用返回的 sympy_str 進行推導
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.
- 10d ago First seen · 153 lines · 41 tokens per session scan A b613e9f8ec7f
nsforge-formula-search is a skill published in the GitHub repository u9401066/nsforge-mcp (4 stars, last pushed 10d ago), licensed Apache-2.0. It adds 41 tokens to every session and 1,175 once invoked, about $0.0002 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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