questionnaire-design

questionnaire-design is a skill for Claude Code, Codex from Lambenthan/mixed-methods-instrument-design. It costs 192 tokens per session (3,052 once invoked), scanned A, original, MIT.

A research-focused method for turning research questions into clear, answerable questionnaires and analysis-ready variables.

In plain words
What is it for?
It guides the choice of questionnaire type, target population, variables, response period, question wording, testing needs, privacy considerations, and source or license checks.
Why use it?
It helps avoid questions that are ambiguous, unsupported by the research goal, or unsuitable for the intended conclusions.

Skill for Claude CodeCodex

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

Good fit It guides the choice of questionnaire type, target population, variables, response period, question wording, testing needs, privacy considerations, and source or license checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lambenthan/mixed-methods-instrument-design/questionnaire-design
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 Lambenthan/mixed-methods-instrument-design --skill questionnaire-design
Clone the repo
git clone --depth 1 https://github.com/Lambenthan/mixed-methods-instrument-design

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 questionnaire-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/lambenthan/mixed-methods-instrument-design/questionnaire-design/github.svg)](https://agentmods.dev/skills/lambenthan/mixed-methods-instrument-design/questionnaire-design)
Your own site
<a href="https://agentmods.dev/skills/lambenthan/mixed-methods-instrument-design/questionnaire-design"><img src="https://agentmods.dev/badge/skills/lambenthan/mixed-methods-instrument-design/questionnaire-design/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 questionnaire-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/lambenthan/mixed-methods-instrument-design/questionnaire-design"><img src="https://agentmods.dev/badge/skills/lambenthan/mixed-methods-instrument-design/questionnaire-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 192 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,052 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 $0.00192 $0.03052
Opus 5 $0.00096 $0.01526
Sonnet 5 $0.00038 $0.00610
Haiku 4.5 $0.00019 $0.00305

Measured 9d ago against content hash 606dc862074c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

questionnaire-design 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (assets/questionnaire-docx-template.js, scripts/validate_questionnaire_spec.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.

references/questionnaire-design/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

研究级问卷设计 / Research-Grade Questionnaire Design

把研究问题转成可理解、可回答、可执行、可追溯并为分析做好准备的调查工具。问卷质量同时受测量与代表性影响;写出顺口的题面只解决其中一部分。

边界与分类

每份产出先声明:本管线设计问卷、变量字典、测试与验证计划,不替代抽样实施、伦理审批、正式预测试、现场质量控制、量表验证或统计推断。

先给工具分类,后续规则不得混用:

  • 事实/行为调查:关注定义、回忆期、报告误差、覆盖与无应答。
  • 态度/感知题组:可包含多个项目,但不因项目相似就自动构成量表。
  • 潜变量量表:需要明确构念、内容覆盖、内部结构、可靠性及与其他变量的关系证据。
  • 知识测验/能力测验:涉及难度、区分、猜测、公平性和可能的题目安全;必要时采用测试学专门规范。
  • 筛查/诊断或决策工具:阈值会产生实际后果,必须使用领域监管与决策准确性规范;本通用管线不能自行设定临界值。
  • 登记表/服务评价表:可服务运营描述,不自动支持总体推断或潜变量解释。

“问卷”“量表”“测验”“指数”不得互称。工具的用途、目标总体、分析单位和预期推论决定证据要求。

启动参数

开始写题前确认并记录:

  1. 研究目的、RQ、预期使用结果的决定或推论。
  2. 目标总体、抽样框、纳入/排除、回答者、观察单位和分析单位。
  3. 构念/变量的操作性定义、边界、回忆期和参照对象。
  4. 事实题、题组、潜变量量表、测验或筛查工具的类型。
  5. 调查模式、设备、语言、场景、访问渠道和预计负担。
  6. 计划分析、比较组、纵向/横向设计和所需精度。
  7. 敏感性、伦理审批、知情同意、隐私、许可和版权条件。
  8. 既有工具是否存在、是否允许复制/翻译/改编及版本状态。

信息缺失但不改变工具类型时可采用标注为“暂定”的值;会改变总体、构念、模式、伦理或推论时,先确认。

出题前硬闸

进入题项起草前建立可见待办并完成:

  1. 用途判定:说明为何问卷适合该 RQ,哪些 RQ 仍需访谈、记录或观察。
  2. 总调查误差草图:标出构念/测量、覆盖、抽样、无应答、处理与调整风险;见 references/foundations-and-sources.md
  3. RQ—变量—构念映射:每个拟收集字段有分析用途,无孤儿题。
  4. 来源检索:Web 检索原始量表论文、官方工具、目标人群/语言验证研究和许可;完整执行 references/foundations-and-sources.md
  5. 证据核验:核对原题、选项、回忆期、计分、适用人群、版本与许可;二手文章只用于发现来源。
  6. 状态标记:逐题标为 validatedadaptedofficialnew;改动后的工具不得继承原效度声明。
  7. 分析预演:说明每题形成什么变量、如何进入计划分析,无法使用的题删除。

任何原工具全文不可得、许可不明、计分规则不明或版本冲突,都要标“待核”,不能补写看似合理的内容。

核心工作流

1. 定义测量对象和证据链

完整读取 references/foundations-and-sources.md。建立构念表:定义、包含/排除、目标人群、观察单位、候选指标、来源、分析用途与误差风险。区分要测的概念、实际提问、观察到的回答和最终统计量。

2. 生成并审查题项

完整读取 references/question-writing-and-response-process.md。按“理解—检索—判断—作答”检查每道题。题面、回忆期、参照对象、信息来源和受访者知识边界必须匹配。事实、行为、态度、知识、敏感和开放题分别处理。

3. 设计响应格式与整卷流程

完整读取 references/response-options-scales-and-flow.md。设计互斥/穷尽的选项、量尺标签、缺失类回答、题序、随机化和敏感题位置。不要默认五点同意量尺;量尺点数、中点、反向项目、矩阵和总分都需任务依据。

4. 按模式实现工具

完整读取 references/mode-usability-and-programming.md。为 Web、移动端、纸面、电话、面访或混合模式建立显示、导航、跳题、校验、帮助文本和输出测试。追求含义与回答任务等价,不强求跨模式逐字相同。

5. 处理翻译与跨群体比较

涉及多语言、跨文化、跨地区或跨群体比较时,完整读取 references/translation-and-cross-cultural-equivalence.md。采用团队翻译、审定、目标语言预测试和版本记录。语言等价不等于测量等值;比较组均值前先评估相关等值证据。

Read the full file on GitHub · 150 lines

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. 9d ago First seen · 150 lines · 192 tokens per session scan A 606dc862074c

Subscribe to this mod's changes

questionnaire-design is a skill published in the GitHub repository Lambenthan/mixed-methods-instrument-design (4 stars, last pushed 27d ago), licensed MIT. It adds 192 tokens to every session and 3,052 once invoked, about $0.0010 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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