QC13 TimeEquivalentValue logo

QC13 TimeEquivalentValue

Organization
cas-bigdatalab
QC13_TimeEquivalentValue

等值检验(连续数值无变化检查)工具。读取时间序列数据,检查在连续的时间段内, 某个关键指标的数值是否长时间保持不变(久无变化检查),识别并标记异常数据,最后输出为相同格式的文件。 当用户提到等值检验、连续无变化检查、久无变化检查、时间序列恒定值检查等需求时使用此skill。 即使用户没有说出"等值检验",只要任务涉及检查时间序列数据是否长时间保持不变,就应该使用此skill。

Overview

Publishercas-bigdatalab
Repositorypiflow
Skill nameQC13_TimeEquivalentValue
Stars
541
Forks
172
Bundled files
4
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cas-bigdatalab on GitHub. Read the source before you install it.

Installation

Install the QC13 TimeEquivalentValue AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cas-bigdatalab/piflow/tree/master/workspace/skills/QC13_TimeEquivalentValue
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cas-bigdatalab/piflow.git /tmp/piflow
mkdir -p .claude/skills
cp -r /tmp/piflow/workspace/skills/QC13_TimeEquivalentValue .claude/skills/QC13_TimeEquivalentValue
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable QC13 TimeEquivalentValue in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads QC13 TimeEquivalentValue on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so QC13 TimeEquivalentValue is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

QC13_TimeEquivalentValue 等值检验Skill

功能概述

本skill用于检查时间序列数据中,在连续的时间段内某个关键指标的数值是否长时间保持不变。如果数值连续多次保持不变,则标记为异常数据。

触发条件

当用户请求以下任务时,应使用此skill:

  • 等值检验
  • 连续无变化检查
  • 久无变化检查
  • 时间序列恒定值检查
  • 检查数据是否长时间不变
  • 连续数值不变检查

处理逻辑

  1. 读取输入的被检验数据
  2. 解析等值检验条件(字段名和连续次数)
  3. 按时间字段排序
  4. 对每个指定字段,检查连续N个时间点数值是否相同
  5. 如果连续N次数值相同,标记为异常
  6. 为异常数据添加质控标识
  7. 输出处理后的数据文件

支持的文件格式

  • CSV (.csv)
  • TSV (.tsv)
  • Excel (.xls, .xlsx)
  • SPSS (.sav)

使用方法

步骤1:获取用户输入输出路径及参数

向用户确认:

  1. 输入文件路径
  2. 输出文件路径
  3. 等值检验条件(格式:字段名,连续次数)
  4. 时间字段名
  5. 时间格式
  6. 质控标识(默认:等值异常)
  7. 质控标识字段名(默认:QC0000)

步骤2:执行等值检验脚本

在 scripts/ 目录下找到 QC13_TimeEquivalentValue.py,使用Python执行:

bash
python scripts/QC13_TimeEquivalentValue.py \
    --input_path <输入文件> \
    --output_path <输出文件> \
    --conditions "<检验条件>" \
    --time_field <时间字段> \
    --time_format "<时间格式>" \
    --qc_mark "<质控标识>" \
    --mark_field_name <质控字段名>

步骤3:返回结果

告知用户处理完成。

参数说明

参数必填说明
--input_path是输入文件路径
--output_path是输出文件路径
--conditions是检验条件,格式:字段名,连续次数(如:Do_ppm,3)多行用换行分隔
--time_field是时间字段名(用于排序判断连续性)
--time_format是时间格式(如:%Y-%m-%d %H:%M:%S)
--qc_mark否质控标识,默认"等值异常"
--mark_field_name否质控标识字段名,默认QC0000

检验条件格式

每行格式:字段名,连续次数

示例:

Do_ppm,3
Temp_C,3
pH,3

表示:

  • Do_ppm字段连续3次相同则标记异常
  • Temp_C字段连续3次相同则标记异常
  • pH字段连续3次相同则标记异常

时间格式示例

格式示例
%Y-%m-%d2024-01-15
%Y-%m-%d %H:%M:%S2024-01-15 14:30:00
%Y/%m/%d2024/01/15

输出示例

[OK] Using encoding GB2312 successfully read CSV file
Reading input data: /path/to/input.csv
Writing output data: /path/to/output.csv
Processing completed!

质控标识格式示例:等值异常(Do_ppm) 表示Do_ppm字段连续多次数值相同

注意事项

  1. 检验条件格式:字段名,连续次数,每行一个字段
  2. 连续次数N表示连续N次数值相同则标记为异常
  3. 数据按时间字段排序后进行检查
  4. 质控标识格式:质控标识(异常字段1,异常字段2,...)
  5. 与原有质控标识用分号拼接

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the QC13 TimeEquivalentValue AI skill do?

等值检验(连续数值无变化检查)工具。读取时间序列数据,检查在连续的时间段内, 某个关键指标的数值是否长时间保持不变(久无变化检查),识别并标记异常数据,最后输出为相同格式的文件。 当用户提到等值检验、连续无变化检查、久无变化检查、时间序列恒定值检查等需求时使用此skill。 即使用户没有说出"等值检验",只要任务涉及检查时间序列数据是否长时间保持不变,就应该使用此skill。

Why use QC13 TimeEquivalentValue on TypingMind?

Because you install it once and use it with any model. QC13 TimeEquivalentValue is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install QC13 TimeEquivalentValue in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cas-bigdatalab/piflow/tree/master/workspace/skills/QC13_TimeEquivalentValue. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use QC13 TimeEquivalentValue?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with QC13 TimeEquivalentValue?

As many as you like. As long as a model supports skills, you can use QC13 TimeEquivalentValue with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the QC13 TimeEquivalentValue AI skill free?

It is published on GitHub by cas-bigdatalab. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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