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amos-sem-workflow

amos-sem-workflow is a skill for Claude Code, Codex from maydengximin-sketch/amos-sem-workflow-skill. It costs 385 tokens per session (3,417 once invoked), scanned A, original, MIT.

A Chinese-language workflow assistant for AMOS structural equation modeling, a method for testing relationships among measured and hidden variables using survey data.

In plain words
What is it for?
It helps clean data, test reliability and validity, create AMOS diagrams, evaluate and adjust models, and write results in APA style.
Why use it?
It helps check and prepare survey data before analysis, reducing problems such as failed model estimation or unsupported model changes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo 3mo ago A scan 385 tokens original MIT

Good fit It helps clean data, test reliability and validity, create AMOS diagrams, evaluate and adjust models, and write results in APA style.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/maydengximin-sketch/amos-sem-workflow-skill/amos-sem-workflow
View source ↗ maydengximin-sketch/amos-sem-workflow-skill
Install

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.

Any agent
npx skills add maydengximin-sketch/amos-sem-workflow-skill --skill amos-sem-workflow
Clone the repo
git clone --depth 1 https://github.com/maydengximin-sketch/amos-sem-workflow-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for amos-sem-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/maydengximin-sketch/amos-sem-workflow-skill/amos-sem-workflow/github.svg)](https://agentmods.dev/skills/maydengximin-sketch/amos-sem-workflow-skill/amos-sem-workflow)
Your own site
<a href="https://agentmods.dev/skills/maydengximin-sketch/amos-sem-workflow-skill/amos-sem-workflow"><img src="https://agentmods.dev/badge/skills/maydengximin-sketch/amos-sem-workflow-skill/amos-sem-workflow/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.

agentmods 80×15 button for amos-sem-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/maydengximin-sketch/amos-sem-workflow-skill/amos-sem-workflow"><img src="https://agentmods.dev/badge/skills/maydengximin-sketch/amos-sem-workflow-skill/amos-sem-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 385 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00385 $0.03417
Opus 5.5 $0.00154 $0.01367
Sonnet 5.5 $0.00077 $0.00683
Haiku 4.5 $0.00038 $0.00342

Measured 2mo ago against content hash 4890f0d1337a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amos-sem-workflow 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (templates/readiness_check.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/amos-sem-workflow/SKILL.md · 250 lines

How it starts

The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AMOS SEM 一条龙工作流

核心姿态

大多数人做 AMOS 的顺序是错的：先画图跑模型，跑不出来再回头查数据。

正确的顺序是——在进 AMOS 之前，先做一遍"达标预检验"。

数据不达标就进 AMOS，你会遇到：模型不收敛、载荷是负的、拟合指标怎么修都不过、Heywood case（负误差方差）。然后你就会开始"修正指数疯狂加路径"——这是审稿人一眼就能看出来的数据操纵。

这个 skill 的第一原则：把关口前移。

不要承诺"跑一遍就能发表"。不要用修正指数把模型硬拗到拟合。拟合好但没有理论支撑的模型，一文不值。

五个阶段

① 数据清洗
      ↓
② 达标预检验  ← 关键关口。不达标不许进 AMOS
      ↓
③ AMOS 自动绘图（Plugin）+ 自动分析（AmosEngine）
      ↓
④ 模型评估与修正 · 中介/调节/多群组
      ↓
⑤ APA 格式结果撰写

① 数据清洗

步骤 做什么 判定
反向计分 先做，别忘了 反向题必须转换后再算 α
缺失值 检查缺失比例与模式 < 5% 可处理；做 Little's MCAR 检验
单变量异常 标准化后 |z| > 3.29 逐个核查，不要无脑删
多变量异常 Mahalanobis D²，p < .001 删除需说明理由与数量
无效样本 规律作答、极短作答时间、全选同一选项 事先定规则

详见 references/01-data-cleaning.md

② 达标预检验（进 AMOS 前必过的关）

这是整个工作流最有价值的一步。 逐项检查，任何一项不达标 → 回去修数据/修量表，不要进 AMOS。

# 检验 常用标准 不达标怎么办
1 样本量 N ≥ 200；N : 待估参数 ≥ 5:1（理想 10:1） 继续收数据 / 简化模型
2 正态性 |偏度| < 23，|峰度| < 78 严重偏离 → Bootstrap ML 或稳健估计
3 共同方法偏差 Harman 单因子：第一因子 < 40% 加 CLF 潜在共同方法因子检验
4 信度 Cronbach's α ≥ .70 删题（看 CITC < .30）
5 EFA 适合性 KMO ≥ .70，Bartlett p < .001 不适合做因子分析 → 检查量表
6 收敛效度 标准化载荷 ≥ .50（最好 ≥ .70）；CR ≥ .70；AVE ≥ .50 删低载荷题项
7 区分效度 √AVE > 该因子与其他因子的相关；或 HTMT < .85 合并因子 / 重新界定构念
8 多重共线性 VIF < 5；因子间相关 < .85 合并或删除

关键认知：CR 和 AVE 要在 CFA 之后用标准化载荷算，但载荷太低的题项在 EFA 阶段就该发现。 不要把不达标的数据硬塞进 AMOS，然后用 MI 加路径去救——救不回来，还会被审稿人抓住。

详见 references/02-readiness-checks.md（含每个指标的公式与 SPSS/Python 操作）

③ AMOS 自动化

AMOS 支持 .NET 编程接口，有两条自动化路线：

路线 A：AmosEngine —— 脚本化建模与估计（不用画图）

Dim Sem As New AmosEngineLib.AmosEngine
Sem.TextOutput()
Sem.Standardized()          ' 标准化解
Sem.Smc()                   ' R²
Sem.Bootstrap(2000)         ' Bootstrap
Sem.ConfidenceBC(90)        ' 偏差校正置信区间（中介必备）

Sem.BeginGroup("data.sav")
Sem.AStructure("X1 = (1) F1 + (1) e1")
Sem.AStructure("X2 =     F1 + (1) e2")
Sem.AStructure("Y  =     F1 + (1) e3")
Sem.Dispose()

Read the full file on GitHub · 250 lines

Files

What ships with it

9 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.

Changes

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.

  1. 2mo ago First seen · 250 lines · 385 tokens per session scan A 4890f0d1337a

Subscribe to this mod's changes

amos-sem-workflow is a skill published in the GitHub repository maydengximin-sketch/amos-sem-workflow-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 385 tokens to every session and 3,417 once invoked, about $0.0015 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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