A skill your agent uses when taking the behavioral operations (行为运作) path of a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — designing controlled experiments, manipulation checks…

MITAuto-check passedResearch & Science

Install Jmsc Behavioral Om

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmsc-behavioral-om -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jmsc-behavioral-om --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-behavioral-om .claude/skills/jmsc-behavioral-om && 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-behavioral-om
GitHub stars
1.2k
Token cost
~908 tokens
SKILL.md length
156 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when taking the behavioral operations (行为运作) path of a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — designing controlled experiments, manipulation checks…

  • Manipulation checks
  • SKILL.md covers 触发时机, 核心:实验 + 可识别的行为模型, 实验设计规范 and 行为模型与识别, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • A behavioral model that identifies the bias parameter

What it does

Jmsc Behavioral Om is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when taking the behavioral operations (行为运作) path of a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — designing controlled experiments, manipulation checks, and a behavioral model that identifies the bias parameter, so the contribution is a model that explains behavior, not just an effect. Use when human decisions are the object of study instead of pure analytical modeling; use when reviewers ask where the identifiable behavioral parameter is.

Its SKILL.md is about 910 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 Research & Science. It works with Model Context Protocol. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Manipulation checks
  • A behavioral model that identifies the bias parameter
  • So the contribution is a model that explains behavior
  • Not just an effect

Example prompts

  • “/jmsc-behavioral-om”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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 Behavioral Om loads about 908 tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 156 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~908

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

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 156 words, ~908 tokens.

Download SKILL.mdSave it as .claude/skills/jmsc-behavioral-om/SKILL.md (or your agent's skills folder).
name
jmsc-behavioral-om
description
Use when taking the behavioral operations (行为运作) path of a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — designing controlled experiments, manipulation checks, and a behavioral model that identifies the bias parameter, so the contribution is a model that explains behavior, not just an effect. Use when human decisions are the object of study instead of pure analytical modeling; use when reviewers ask where the identifiable behavioral parameter is.

行为运作(jmsc-behavioral-om)

触发时机

  • 研究对象是人的决策偏差(如订货偏差、心理账户、公平偏好)
  • 有实验数据,想用它校准/检验一个行为模型
  • 审稿质疑"只是做了个实验,行为模型在哪/能否识别"
  • 不确定走纯解析建模还是行为实验路径

核心:实验 + 可识别的行为模型

行为运作在本刊的对口姿势是实验设计规范 + 行为模型识别并重:不仅报告"被试偏离最优",更要用一个含行为参数的模型刻画偏差,并从数据中识别该参数。只有实验、没有模型 → 偏心理学,不对口。

实验设计规范

  • 因果设计:操纵自变量、随机分配、控制混淆;明确处理组/对照组。
  • 激励相容:报酬与决策绩效挂钩,避免无成本作答(hypothetical bias)。
  • 操纵检验(manipulation check):确认被试确实感知到了被操纵的变量。
  • 样本与功效:报告样本量、被试来源、功效分析依据。
  • 预注册/稳健性:若可行,预注册假设;报告对异常值/学习效应的处理。

行为模型与识别

环节要求
基准模型给出理性最优作为对照(偏差相对它度量)
行为模型引入行为参数(如损失厌恶 λ、公平 α、锚定权重)
识别说明参数如何从实验数据估计;是否可识别(变异来源)
检验行为模型 vs 理性模型的拟合比较(似然/信息准则)
稳健替代行为设定、个体异质性、稳健标准误

执行桥(StatsPAI / Stata MCP)

把设计跑出来并审计,而不是只做描述。完整映射见 execution-with-mcp。《管理科学学报》以解析/运筹/建模为主——优化、算法、数值实验与证明不在该因果推断工具链内;下面的链路服务其行为运营(behavioral-om)等实证支线。

  • detect_design → recommend → 用 as_handle=true 拟合 → audit_result 列出尚欠的检查。
  • **观察性因果:**交错 DID(callaway_santanna / sun_abraham + bacon_decomposition + honest_did_from_result);IV(effective_f_test + anderson_rubin_ci);RDD(rdrobust + mccrary_test)。
  • **实验:**随机化推断 + romano_wolf 做多结果族错误率控制。
  • 敏感性:oster_delta / sensemakr。

正文报告经济量级,完整 battery 进附录;每个数字都能复现。端到端真跑示例见 JF 执行 walkthrough。若 StatsPAI/Stata 未连接,改用 resources/code/ 并标注未验证数字。

自检清单

  • 实验有清晰因果设计(操纵、随机、控制)
  • 报酬激励相容,非假设性作答
  • 有操纵检验,确认操纵生效
  • 样本量/功效有依据,被试来源透明
  • 行为模型含可识别的行为参数,并说明识别来源
  • 行为模型与理性基准做了拟合比较
  • 贡献落在"模型解释了什么偏差",非"发现被试不理性"

反模式

  • 只报"被试系统性偏离最优",无刻画偏差的模型
  • 行为参数不可识别(无变异来源),却报了点估计
  • 用假设性问卷冒充激励相容实验
  • 缺操纵检验,把无效操纵下的零结果当发现
  • 把行为运作做成纯心理学实验(无运作决策、无模型)

本刊行为运作审稿期待与退稿模式

《管理科学学报》收行为运作稿的前提是"实验规范 + 行为模型识别并重",贡献须落在模型解释偏差。下表对齐本刊高频退稿语与修法:

退稿信号根因本刊期望的修法
"只是做了个实验"无含行为参数的模型建含 λ/α 等参数的行为模型并从数据识别
"偏心理学、无运作决策"缺运作管理决策变量把任务锚到订货/定价等运作决策
"用假设性问卷"报酬不挂绩效改为激励相容设计,报酬随决策绩效变动
"行为参数不可识别"无变异来源却报点估计设计制造参数变异的处理,论证识别
"无操纵检验"不确认操纵生效加操纵检验,零结果须先证操纵有效

锚点:本刊已刊行为运作论文通常给"理性基准 → 含行为参数的行为模型 → 实验设计 → 参数估计与识别论证 → 行为 vs 理性拟合比较"链条;参数估计须报标准误。具体体例以编辑部最新稿约为准。

微型走查:报童订货偏差的行为模型识别

虚构稿件《拉中心效应下的报童订货行为》。按"实验+可识别行为模型"走一遍(示意数字仅作演示):

  • 对象:人的订货决策偏差——被试订货量系统性偏向需求均值(拉中心 pull-to-center)。
  • 基准模型:理性报童最优 q*=F⁻¹((p−c)/p),高利润品 q*=75、低利润品 q*=35。
  • 行为模型:引入锚定权重 ω∈[0,1],q=ω·μ+(1−ω)·q*,μ=50;ω=0 为理性,ω 越大越拉中心。
  • 实验设计:操纵利润结构(高/低)×需求方差(高/低)析因,随机分配;激励相容(报酬=20 轮平均利润折现金);操纵检验确认被试理解利润差异。N=120,功效依效应量 0.5 设定。
  • 识别:利润结构跨处理变动使 q* 移动而 μ 固定,由 q 对 q* 回归斜率识别 (1−ω),斜率显著<1 即 ω>0 可识别。估计 ω̂=0.38(标准误 0.05)。
  • 模型比较:行为模型对数似然优于理性,AIC 下降,ω̂ 在高/低方差下稳健(0.35 vs 0.41)。

审稿人若追问"拉中心是否只是风险厌恶",回应应给区分设计:风险厌恶预测订货随方差单调下移、锚定预测向 μ 收缩,实验中两品方向相反更支持锚定,由此把 ω 与风险参数分离识别。

输出格式

【对象】人的决策偏差:<哪种>
【实验设计】操纵<…> 随机<是/否> 控制<…> 操纵检验<有/无>
【激励】相容 / 假设性(弱)
【样本/功效】N=…,来源<…>,功效依据<…>
【行为模型】基准<理性> + 行为参数<λ/α/…>
【识别】可识别?变异来源<…>
【模型比较】行为 vs 理性 拟合<…>
【贡献】<模型解释了什么偏差>
【下一步】jmsc-managerial-insights / jmsc-notation-style

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-behavioral-om of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jmsc Behavioral Om 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 Behavioral Om compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jmsc Behavioral Om this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~908Automated safety check: PassMIT
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Annotate Paper54yyyu/zotero-mcp5.3k—~1.5kAutomated safety check: PassMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT
NSFC Literature Review WriterHuiyuLi-2000/Chinese-Grant-Writer-Skills4391 repos~1.4kAutomated safety check: NotesMIT
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0

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Questions about Jmsc Behavioral Om

What does Jmsc Behavioral Om do?

A skill your agent uses when taking the behavioral operations (行为运作) path of a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — designing controlled experiments, manipulation checks…. Jmsc Behavioral Om is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when taking the behavioral operations (行为运作) path of a 《管理科学学报》 (Journal of Management Sciences in China) manuscript — designing controlled experiments, manipulation checks, and a behavioral model that identifies the bias parameter, so the contribution is a model that explains behavior, not just an effect.

When should I use Jmsc Behavioral Om?

Jmsc Behavioral Om fits situations like: manipulation checks; A behavioral model that identifies the bias parameter; so the contribution is a model that explains behavior; not just an effect.

How do I install Jmsc Behavioral Om in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmsc-behavioral-om -a claude-code`. Or copy the skill folder (Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-behavioral-om in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jmsc-behavioral-om in your project. Claude Code loads it when a task matches its description.

How do I install Jmsc Behavioral Om in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmsc-behavioral-om -a codex`. Or copy the skill folder (Journal-of-Management-Sciences-in-China-Skills/skills/jmsc-behavioral-om in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jmsc-behavioral-om in your project. Codex loads it when a task matches its description.

Can I use Jmsc Behavioral Om 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 brycewang-stanford/Awesome-Journal-Skills --skill jmsc-behavioral-om -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-behavioral-om, .gemini/skills/jmsc-behavioral-om, .github/skills/jmsc-behavioral-om and .opencode/skills/jmsc-behavioral-om in your project.

What does Jmsc Behavioral Om need to run?

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

Does Jmsc Behavioral Om 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 Behavioral Om 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 Behavioral Om use?

Jmsc Behavioral Om is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jmsc Behavioral Om use?

About 908 tokens (SKILL.md is roughly 3.6k 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 Behavioral Om?

Skills that share tags, products or a category with Jmsc Behavioral Om: Deep Research (jordan-gibbs/hyperresearch, 3.8k stars), Annotate Paper (54yyyu/zotero-mcp, 5.3k stars), Paper Search (openags/paper-search-mcp, 2.8k stars) and NSFC Literature Review Writer (HuiyuLi-2000/Chinese-Grant-Writer-Skills, 439 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jmsc Behavioral Om?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.