Agent skill

Nbr Survey Sem

by franklee16 in franklee16/academic-research-skills

A skill your agent uses for survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices, mediation and moderation, moderated mediation with bootstrap…

No licenceAuto-check passedLegal & Compliance

Install Nbr Survey Sem

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

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills nbr-survey-sem --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-survey-sem .claude/skills/nbr-survey-sem && 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-survey-sem
GitHub stars
223
Used in
1 other repo
Token cost
~448 tokens
SKILL.md length
89 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses for survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices, mediation and moderation, moderated mediation with bootstrap…

  • Survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices
  • SKILL.md covers 触发时机, 测量模型与拟合标准(经验门槛,非硬性), 中介 / 调节 / 被调节的中介 and 多层数据(HLM), plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Mediation and moderation

What it does

Nbr Survey Sem is an agent skill from franklee16/academic-research-skills. Use for survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices, mediation and moderation, moderated mediation with bootstrap indirect effects and the index of moderated mediation, and multilevel models (HLM) for nested data. Use when testing construct-relationship hypotheses (mediation / moderation / moderated mediation) on questionnaire data.

Its SKILL.md is about 450 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 Legal & Compliance, covering Dispute resolution and 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

  • Survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices
  • Mediation and moderation
  • Moderated mediation with bootstrap indirect effects and the index of moderated mediation
  • Multilevel models (HLM) for nested data

Example prompts

  • “/nbr-survey-sem”

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 Survey Sem loads about 448 tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 89 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~448

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 89 words (~448 tokens).

name
nbr-survey-sem

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Nankai-Business-Review-Skills/skills/nbr-survey-sem 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 Survey Sem 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 Survey Sem compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nbr Survey Sem this skillfranklee16/academic-research-skills2231 repos~448Automated safety check: PassNone
Quality Manager Qmralirezarezvani/claude-skills28k—~4.7kAutomated safety check: PassMIT
Otif Analysisdavila7/claude-code-templates33k—~974Automated safety check: PassMIT
Vendor Monitoring Programmukul975/Privacy-Data-Protection-Skills301—~2.1kAutomated safety check: PassApache-2.0
Neighbor Dispute Resolvermohitagw15856/pm-claude-skills1.4k—~1.3kAutomated safety check: PassMIT
Privacy Program Metricsmukul975/Privacy-Data-Protection-Skills301—~5.2kAutomated safety check: PassApache-2.0

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Questions about Nbr Survey Sem

What does Nbr Survey Sem do?

A skill your agent uses for survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices, mediation and moderation, moderated mediation with bootstrap…. Nbr Survey Sem is an agent skill from franklee16/academic-research-skills. Use for survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices, mediation and moderation, moderated mediation with bootstrap indirect effects and the index of moderated mediation, and multilevel models (HLM) for nested data.

When should I use Nbr Survey Sem?

Nbr Survey Sem fits situations like: survey-based structural equation modeling in 《南开管理评论》 (Nankai Business Review) — CFA/SEM fit indices; mediation and moderation; moderated mediation with bootstrap indirect effects and the index of moderated mediation; multilevel models (HLM) for nested data.

How do I install Nbr Survey Sem in Claude Code?

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

How do I install Nbr Survey Sem in Codex?

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

Can I use Nbr Survey Sem 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-survey-sem -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-survey-sem, .gemini/skills/nbr-survey-sem, .github/skills/nbr-survey-sem and .opencode/skills/nbr-survey-sem in your project.

What does Nbr Survey Sem need to run?

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

Does Nbr Survey Sem 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 Survey Sem 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 Survey Sem use?

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

How many tokens does Nbr Survey Sem use?

About 448 tokens (SKILL.md is roughly 1.8k 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 Survey Sem?

Skills that share tags, products or a category with Nbr Survey Sem: Quality Manager Qmr (alirezarezvani/claude-skills, 28k stars), Otif Analysis (davila7/claude-code-templates, 33k stars), Vendor Monitoring Program (mukul975/Privacy-Data-Protection-Skills, 301 stars) and Neighbor Dispute Resolver (mohitagw15856/pm-claude-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nbr Survey Sem?

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.