Agent skill

Nbr Measurement

by franklee16 in franklee16/academic-research-skills

A skill your agent uses for measurement rigor in 《南开管理评论》 (Nankai Business Review) survey studies — reliability (Cronbach's α, composite reliability), validity (convergent via AVE, discriminant via…

No licenceAuto-check passedBusiness, Finance & HR

Install Nbr Measurement

skills CLI
$ npx skills add franklee16/academic-research-skills --skill nbr-measurement -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install franklee16/academic-research-skills nbr-measurement --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Nankai-Business-Review-Skills/skills/nbr-measurement .claude/skills/nbr-measurement && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
nbr-measurement
GitHub stars
223
Used in
1 other repo
Token cost
~424 tokens
SKILL.md length
91 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses for measurement rigor in 《南开管理评论》 (Nankai Business Review) survey studies — reliability (Cronbach's α, composite reliability), validity (convergent via AVE, discriminant via…

  • Measurement rigor in 《南开管理评论》 (Nankai Business Review) survey studies — reliability (Cronbachs α
  • SKILL.md covers 触发时机, 信度(Reliability), 效度(Validity) and 共同方法偏差(CMV / CMB), plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Composite reliability)

What it does

Nbr Measurement is an agent skill from franklee16/academic-research-skills. Use for measurement rigor in 《南开管理评论》 (Nankai Business Review) survey studies — reliability (Cronbach's α, composite reliability), validity (convergent via AVE, discriminant via Fornell-Larcker / HTMT), and common-method-bias diagnosis (Harman single-factor, marker variable, common latent factor). Use whenever a paper uses self-report scales, especially if measures were borrowed or single-source.

Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering OKRs and executive reporting. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.

When your agent uses it

  • Measurement rigor in 《南开管理评论》 (Nankai Business Review) survey studies — reliability (Cronbachs α
  • Composite reliability)
  • Validity (convergent via AVE
  • Discriminant via Fornell-Larcker / HTMT)

Example prompts

  • “/nbr-measurement”

What it can do on your machine

Read from SKILL.md and the folder at commit 9a4b2db. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Nbr Measurement loads about 424 tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 91 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~424

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 91 words (~424 tokens).

name
nbr-measurement

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Nankai-Business-Review-Skills/skills/nbr-measurement of franklee16/academic-research-skills.

Open the folder on GitHubat commit 9a4b2db

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Nbr Measurement next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Nbr Measurement compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nbr Measurement this skillfranklee16/academic-research-skills2231 repos~424Automated safety check: PassNone
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Analytics Strategyrampstackco/claude-skills945—~2.4kAutomated safety check: PassMIT
Onboarding Plannerbpinheiroms/dotfiles108—~5.4kAutomated safety check: PassNone
Replit Decksanqiufong/slides-from-anything1321 repos~2.9kAutomated safety check: PassApache-2.0
Building Streamlit Dashboardsiusztinpaul/designing-real-world-ai-agents-workshop512—~1.1kAutomated safety check: PassApache-2.0

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Questions about Nbr Measurement

What does Nbr Measurement do?

A skill your agent uses for measurement rigor in 《南开管理评论》 (Nankai Business Review) survey studies — reliability (Cronbach's α, composite reliability), validity (convergent via AVE, discriminant via…. Nbr Measurement is an agent skill from franklee16/academic-research-skills. Use for measurement rigor in 《南开管理评论》 (Nankai Business Review) survey studies — reliability (Cronbach's α, composite reliability), validity (convergent via AVE, discriminant via Fornell-Larcker / HTMT), and common-method-bias diagnosis (Harman single-factor, marker variable, common latent factor).

When should I use Nbr Measurement?

Nbr Measurement fits situations like: measurement rigor in 《南开管理评论》 (Nankai Business Review) survey studies — reliability (Cronbachs α; composite reliability); validity (convergent via AVE; discriminant via Fornell-Larcker / HTMT).

How do I install Nbr Measurement in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill nbr-measurement -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Nankai-Business-Review-Skills/skills/nbr-measurement in franklee16/academic-research-skills) into .claude/skills/nbr-measurement in your project. Claude Code loads it when a task matches its description.

How do I install Nbr Measurement in Codex?

Run `npx skills add franklee16/academic-research-skills --skill nbr-measurement -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Nankai-Business-Review-Skills/skills/nbr-measurement in franklee16/academic-research-skills) into .agents/skills/nbr-measurement in your project. Codex loads it when a task matches its description.

Can I use Nbr Measurement in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add franklee16/academic-research-skills --skill nbr-measurement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nbr-measurement, .gemini/skills/nbr-measurement, .github/skills/nbr-measurement and .opencode/skills/nbr-measurement in your project.

What does Nbr Measurement need to run?

SKILL.md names no scripts, command-line tools or credentials: Nbr Measurement is instructions for the agent only.

Does Nbr Measurement access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Nbr Measurement safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Nbr Measurement use?

No licence was found for Nbr Measurement or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Nbr Measurement use?

About 424 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Nbr Measurement?

Skills that share tags, products or a category with Nbr Measurement: Pine Backtester (TradersPost/pinescript-agents, 170 stars), Analytics Strategy (rampstackco/claude-skills, 945 stars), Onboarding Planner (bpinheiroms/dotfiles, 108 stars) and Replit Deck (sanqiufong/slides-from-anything, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nbr Measurement?

franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.

Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.