Agent skill

Jmsc Numerical Experiments

by franklee16 in franklee16/academic-research-skills

A skill your agent uses when designing the numerical / simulation study for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — validating the proven theoretical properties, testing…

No licenceAuto-check passed

Install Jmsc Numerical Experiments

skills CLI
$ npx skills add franklee16/academic-research-skills --skill jmsc-numerical-experiments -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills jmsc-numerical-experiments --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/Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-numerical-experiments .claude/skills/jmsc-numerical-experiments && 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
jmsc-numerical-experiments
GitHub stars
223
Used in
1 other repo
Token cost
~422 tokens
SKILL.md length
57 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when designing the numerical / simulation study for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — validating the proven theoretical properties, testing…

  • Works in 3 steps: 验证什么:哪条命题/哪个收敛速率/哪个近似比,要被这组实验照亮? → 比什么基准:与精确解、下界、现有方法、退化策略比,gap 怎么报? → 扫什么参数:哪些参数驱动核心机制?敏感性分析要覆盖其合理范围。
  • Testing algorithm performance
  • SKILL.md covers 触发时机, 核心:数值实验是验证 + 洞见,不是证明, 实验设计三问 and 实验内容清单, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jmsc Numerical Experiments is an agent skill from franklee16/academic-research-skills. Use when designing the numerical / simulation study for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — validating the proven theoretical properties, testing algorithm performance, exploring parameter sensitivity, and extracting managerial insight. The study must serve the theory, not replace it. Use after jmsc-proofs and jmsc-algorithm.

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.

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

  • Testing algorithm performance
  • Exploring parameter sensitivity
  • Extracting managerial insight

Example prompts

  • “/jmsc-numerical-experiments”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 验证什么:哪条命题/哪个收敛速率/哪个近似比,要被这组实验照亮?
  2. 比什么基准:与精确解、下界、现有方法、退化策略比,gap 怎么报?
  3. 扫什么参数:哪些参数驱动核心机制?敏感性分析要覆盖其合理范围。

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

Jmsc Numerical Experiments loads about 422 tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 57 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~422

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 57 words (~422 tokens).

name
jmsc-numerical-experiments

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-numerical-experiments 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

Jmsc Numerical Experiments 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.

Jmsc Numerical Experiments compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jmsc Numerical Experiments this skillfranklee16/academic-research-skills2231 repos~422Automated safety check: PassNone
Experiment Designeralirezarezvani/claude-skills28k1 repos~783Automated safety check: PassMIT
Design Consultationgarrytan/gstack136k—~15kAutomated safety check: NotesMIT
Designing Experimentsforyourhealth111-pixel/Vibe-Skills3.6k—~600Automated safety check: PassApache-2.0
Design Systemaffaan-m/ECC276k—~698Automated safety check: PassMIT
Design Guidepaperclipai/paperclip99k1 repos~3.1kAutomated safety check: PassMIT

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Questions about Jmsc Numerical Experiments

What does Jmsc Numerical Experiments do?

A skill your agent uses when designing the numerical / simulation study for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — validating the proven theoretical properties, testing…. Jmsc Numerical Experiments is an agent skill from franklee16/academic-research-skills. Use when designing the numerical / simulation study for a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — validating the proven theoretical properties, testing algorithm performance, exploring parameter sensitivity, and extracting managerial insight.

When should I use Jmsc Numerical Experiments?

Jmsc Numerical Experiments fits situations like: testing algorithm performance; exploring parameter sensitivity; extracting managerial insight.

How do I install Jmsc Numerical Experiments in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill jmsc-numerical-experiments -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-numerical-experiments in franklee16/academic-research-skills) into .claude/skills/jmsc-numerical-experiments in your project. Claude Code loads it when a task matches its description.

How do I install Jmsc Numerical Experiments in Codex?

Run `npx skills add franklee16/academic-research-skills --skill jmsc-numerical-experiments -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-numerical-experiments in franklee16/academic-research-skills) into .agents/skills/jmsc-numerical-experiments in your project. Codex loads it when a task matches its description.

Can I use Jmsc Numerical Experiments 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 jmsc-numerical-experiments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jmsc-numerical-experiments, .gemini/skills/jmsc-numerical-experiments, .github/skills/jmsc-numerical-experiments and .opencode/skills/jmsc-numerical-experiments in your project.

What does Jmsc Numerical Experiments need to run?

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

Does Jmsc Numerical Experiments 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 Jmsc Numerical Experiments 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 Jmsc Numerical Experiments use?

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

How many tokens does Jmsc Numerical Experiments use?

About 422 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 Jmsc Numerical Experiments?

Skills that share tags, products or a category with Jmsc Numerical Experiments: Experiment Designer (alirezarezvani/claude-skills, 28k stars), Design Consultation (garrytan/gstack, 136k stars), Designing Experiments (foryourhealth111-pixel/Vibe-Skills, 3.6k stars) and Design System (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jmsc Numerical Experiments?

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.