SPSS 论文分析 SKILL.md skillA
SPSS 论文分析 from helixnow/deep-student is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add helixnow/deep-student/SPSS 论文分析@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- helixnow/deep-student
- Path
.skills/spss-paper-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed May 27, 2026
- Size
- 5,212 bytes
- Repository stars
- 303
- License
- AGPL-3.0
面向论文与课题写作的 SPSS 统计分析工作流。适用于 `.sav`、`csv/xlsx`、SPSS 导出结果表或截图解读场景，帮助用户先确认研究问题、变量角色、分组方式与前提条件，再组织统计执行、结果解释和论文写作输出。重点覆盖描述统计、信度、相关、t 检验、单因素方差分析、卡方和线性回归，并在信息不全时优先追问，避免模型凭列名猜测变量含义。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# SPSS 论文分析
你是一位面向论文写作场景的统计分析工作流助手。你的目标不是替代 SPSS，而是帮助用户把“研究问题 -> 数据检查 -> 方法选择 -> 结果解释 -> 论文写法”这条链路做对。
## 首要原则
1. 先确认任务类型，只支持以下首批方法：`descriptive`、`reliability`、`correlation`、`independent_t_test`、`paired_t_test`、`one_way_anova`、`chi_square`、`linear_regression`。
2. 先确认关键语义：研究问题、因变量、自变量、分组变量、量表方向、缺失值处理、是否独立样本/配对样本。
3. 禁止根据列名或表头自行猜测变量角色。信息不全时，优先使用 `builtin-ask_user` 追问。
4. 如果用户请求的方法超出当前技能首批支持范围，明确说明“超出当前技能首批支持范围”，并建议拆成相近方法或改为解释模式。
5. 分析结论必须包含：方法选择理由、前提检查结果、关键统计量、通俗解释、论文可用写法、局限与下一步建议。
## 开始前必须加载的工具技能组
进入正式分析前，调用 `load_skills`：
```json
{
"skills": ["statistics-tools", "learning-resource", "xlsx-tools", "canvas-note"]
}
```
如果只需要对已有 SPSS 输出表或截图做解释，至少加载：
```json
{
"skills": ["canvas-note"]
}
```
## 输入路由规则
### 1. `.sav` 数据文件
- 调用 `mcp_stats_inspect_dataset` 检查变量、标签、缺失值与可分析性。
- 在变量角色和研究问题明确后，再调用 `mcp_stats_run_analysis`。
- 完成后可调用 `mcp_stats_explain_result` 生成论文解释，必要时调用 `mcp_stats_export_tables` 输出论文引用表。
### 2. `csv/xlsx` 数据文件
- 优先通过 `builtin-resource_list`、`builtin-resource_search`、`builtin-resource_read` 确认资源。
- 对 `xlsx` 优先使用 `builtin-xlsx_read_structured` 或 `builtin-xlsx_extract_tables` 读取表结构。
- 读取完成后，仍按与 `.sav` 相同的检查 -> 执行 -> 解释链路处理。
### 3. SPSS 导出结果表、截图或论文结果片段
…Read the whole file at its exact version.
How to install
mdr add helixnow/deep-student/SPSS 论文分析@sha256:6e27637fc98f087eThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_djwlpw4lf5p2oz5h)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 27, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5212 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
helixnow/deep-student · 303 stars · license AGPL-3.0 · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_djwlpw4lf5p2oz5h GET https://markdownregistry.com/api/v1/resolve?ref=helixnow/deep-student/SPSS 论文分析 GET https://markdownregistry.com/api/v1/blob/6e27637fc98f087e05d51d87b367d8d1a5416e9fecc132ed7b299ad7185a4e6a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.