Stata
dylantmoore/stata-skill
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community packages (reghdfe, estout, did, rdrobust…
A skill your agent uses when choosing and designing evidence for a manuscript submitted to 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), with separate standards for numerical…
Install Jse Tju Validation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-validation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-validation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-Systems-Engineering-Skills/skills/jse-tju-validation .claude/skills/jse-tju-validation && rm -rf skills-srcUse ~/.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/
Install the "jse-tju-validation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation into .claude/skills/jse-tju-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-validation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-validation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-validation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation .agents/skills/jse-tju-validation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jse-tju-validation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation into .agents/skills/jse-tju-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-validation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-validation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-validation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation .cursor/skills/jse-tju-validation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jse-tju-validation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation into .cursor/skills/jse-tju-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-validation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-validation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-validation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation .gemini/skills/jse-tju-validation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jse-tju-validation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation into .gemini/skills/jse-tju-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-validation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-validationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-validation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation .github/skills/jse-tju-validation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jse-tju-validation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation into .github/skills/jse-tju-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-validation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-validation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-validation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation .opencode/skills/jse-tju-validation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jse-tju-validation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation into .opencode/skills/jse-tju-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-validation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jse-tju-validation- GitHub stars
- 1.2k
- Token cost
- ~692 tokens
- SKILL.md length
- 95 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when choosing and designing evidence for a manuscript submitted to 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), with separate standards for numerical…
- Works in 7 steps: 把每条核心主张放入矩阵，删除没有证据接口的宽泛主张。 → 选择一个主验证与一个互补验证；不要无目的堆砌多种方法。 → 预先定义基线、指标、切分、参数范围、重复和停止规则。 → …
- Choosing and designing evidence for a manuscript submitted to 《系统工程学报》 (Journal of Systems Engineering
- SKILL.md covers 触发时机, 输入诊断, 按稿件类型选择验证 and 主张—证据矩阵, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Jse Tju Validation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when choosing and designing evidence for a manuscript submitted to 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), with separate standards for numerical experiments, simulation, real data, case studies, out-of-sample prediction, optimization comparisons, and empirical research on financial or socioeconomic systems.
Its SKILL.md is about 690 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, covering Econometrics and empirical research. 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
- Choosing and designing evidence for a manuscript submitted to 《系统工程学报》 (Journal of Systems Engineering
- Tianjin University)
- With separate standards for numerical experiments
- Out-of-sample prediction
Example prompts
- “/jse-tju-validation”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- 把每条核心主张放入矩阵，删除没有证据接口的宽泛主张。
- 选择一个主验证与一个互补验证；不要无目的堆砌多种方法。
- 预先定义基线、指标、切分、参数范围、重复和停止规则。
- 设计能区分核心机制与竞争解释的对照。
- 同时记录平均表现、异质性、尾部风险、失败和不可行情形。
- 把图表顺序按研究问题组织，而不是按软件输出顺序组织。
- 将敏感性、替代模型、随机种子和环境交给 robustness-reproducibility 复核。
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
Jse Tju Validation loads about 692 tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 95 words of instructions outside code blocks.
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). 95 words, ~692 tokens.
Download SKILL.mdSave it as
.claude/skills/jse-tju-validation/SKILL.md (or your agent's skills folder).- name
- jse-tju-validation
- description
- Use when choosing and designing evidence for a manuscript submitted to 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), with separate standards for numerical experiments, simulation, real data, case studies, out-of-sample prediction, optimization comparisons, and empirical research on financial or socioeconomic systems.
《系统工程学报》验证设计（jse-tju-validation）
触发时机
当模型、理论或算法已有雏形，但作者尚未把每条主张与相称证据闭环时使用。本刊容纳多种研究主线，
因此不能用“多做几组稳健性”覆盖所有稿件。先确定验证任务，再选择数值、仿真、真实数据、案例、
样本外预测、方案比较或实证证据。近年样本特征见
source-basis.md。
输入诊断
提供三至五条核心主张、模型/算法输出、可用数据或案例、比较基准、评价指标和外推范围。为每条主张 标注类型：机制、性质、性能、预测、因果/关联、可行性或实施价值。再检查：
- 证据是否直接观察或计算该主张，而非仅展示相关结果？
- 数据/场景是否与模型边界一致？
- 指标是否覆盖系统级权衡，而非单一局部效率？
- 对照能否排除简单替代解释？
- 结论是否超出样本、参数或案例支持范围？
按稿件类型选择验证
数值实验
用于说明理论性质、比较静态、阈值或解结构。参数范围需有来源、校准或清晰归一化解释；使用因子 设计或分区扫描，不只挑“好看”的点。数值结果不能替代本可给出的证明。
仿真
用于动态反馈、复杂网络、主体互动和难以解析的系统。明确状态更新、事件顺序、初始条件、暖启动/ 烧入、终止规则、重复次数和随机性。验证仿真规则与理论模型的一致性，并报告涌现结果的分布。
真实数据
说明样本来源、覆盖范围、缺失与清洗、变量构造、时间对齐和访问限制。若使用空间、网络或面板数据， 处理依赖结构；若只能支持关联，不写成因果。训练、验证和测试划分必须先于特征选择和调参。
案例研究
解释案例为何能检验机制，是关键、极端、典型还是对照案例。建立事件/过程链、数据三角验证和竞争 解释。单案例可以验证可行性或机制过程，但不能自动支持普遍平均效应。
样本外预测
使用时间顺序或真实部署边界切分，防止未来信息、主体重叠或网络邻接泄漏。与朴素、统计、领域和 强学习基线比较；报告校准、区间、不同状态/群体性能及决策价值，不只报总体精度。
优化方案比较
统一实例、信息、时间预算和可行性定义；报告目标、多个系统指标、最优间隙、运行时间和不可行率。 将“最优解更好”与“新模型导致不同决策规律”分开验证。
金融或社会经济系统实证
从系统机制确定空间、网络、动态或异质性结构。明确识别假设、内生性风险、标准误、固定效应、
替代解释和外推范围。政策含义必须由估计对象和样本支持。
涉及现代因果推断时，直接使用仓库共享
execution-with-mcp.md；
该执行桥不适用于纯优化、解析博弈或仿真稿。
主张—证据矩阵
| 主张类型 | 核心证据 | 常见补充 |
|---|---|---|
| 理论机制 | 定理/命题 + 定向数值 | 阈值、反例 |
| 动态机制 | 仿真轨迹和分布 | 初值、网络结构 |
| 算法性能 | 强基线、规模梯度 | 消融、时间/内存 |
| 预测能力 | 严格样本外指标 | 校准、状态分层 |
| 经验关系 | 估计与识别诊断 | 替代模型/指标 |
| 工程可行 | 案例、约束满足、接口 | 压力/故障情景 |
| 决策价值 | 方案比较、代价/福利 | 公平、风险、实施成本 |
处理步骤
- 把每条核心主张放入矩阵，删除没有证据接口的宽泛主张。
- 选择一个主验证与一个互补验证；不要无目的堆砌多种方法。
- 预先定义基线、指标、切分、参数范围、重复和停止规则。
- 设计能区分核心机制与竞争解释的对照。
- 同时记录平均表现、异质性、尾部风险、失败和不可行情形。
- 把图表顺序按研究问题组织，而不是按软件输出顺序组织。
- 将敏感性、替代模型、随机种子和环境交给
robustness-reproducibility复核。
微型验证计划
主张 C1：信息延迟导致公平—效率权衡出现阈值
主证据：动态仿真，扫描延迟×容量×网络中断强度
对照：无反馈静态模型、即时信息、标准滚动策略
指标：响应时间、未满足需求、区域差异、不可行率
机制检验：固定其他因素，仅移除优先级反馈
失败边界：极低容量、极高延迟
外推限制：不覆盖灾害生成与跨区域迁移反模式
- 所有稿件都用相同的“描述统计—回归—稳健性”流程。
- 用训练集表现或随机划分证明动态预测能力。
- 仿真只跑一次，或不报告初值和事件顺序。
- 案例只作故事性展示，没有竞争解释。
- 优化比较只报目标值，不报时间、可行性和系统权衡。
- 用显著性替代效应大小、机制和外推边界。
期刊专属拒稿风险
验证若只证明方法能运行，却不检验系统互动和系统级结果，难以支撑本刊定位。反之，工程或政策故事
很丰富但证据边界松散，也会形成机制与结论错配。动态投稿和格式事实应查
official-source-map.md，不从样本论文推断硬规则。
输出格式
【稿件类型】
【核心主张—证据矩阵】
【主验证 / 互补验证】
【数据或场景边界】
【基线、对照和竞争解释】
【指标与系统级权衡】
【切分 / 参数 / 重复 / 停止规则】
【失败与外推边界】
【需转稳健性复核项】
【最大拒稿风险】© 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-Systems-Engineering-Skills/skills/jse-tju-validation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jse Tju Validation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jse Tju Validation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~692 | Automated safety check: Pass | MIT | |
| Statadylantmoore/stata-skill | 291 | 1 repos | ~4.2k | Automated safety check: Pass | Custom licence | |
| Stata C Pluginsdylantmoore/stata-skill | 291 | 1 repos | ~5.8k | Automated safety check: Pass | Custom licence | |
| Example Datasetspymc-labs/CausalPy | 1.2k | — | ~587 | Automated safety check: Pass | Apache-2.0 | |
| Stata AuditSepineTam/mcp-for-stata | 264 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Stata Skill Contributordylantmoore/stata-skill | 291 | 1 repos | ~2.4k | Automated safety check: Pass | Custom licence |
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A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
Aaag Submission
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
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Questions about Jse Tju Validation
What does Jse Tju Validation do?
A skill your agent uses when choosing and designing evidence for a manuscript submitted to 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), with separate standards for numerical…. Jse Tju Validation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when choosing and designing evidence for a manuscript submitted to 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), with separate standards for numerical experiments, simulation, real data, case studies, out-of-sample prediction, optimization comparisons, and empirical research on financial or socioeconomic systems.
When should I use Jse Tju Validation?
Jse Tju Validation fits situations like: choosing and designing evidence for a manuscript submitted to 《系统工程学报》 (Journal of Systems Engineering; tianjin University); with separate standards for numerical experiments; out-of-sample prediction.
How do I install Jse Tju Validation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-validation -a claude-code`. Or copy the skill folder (Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jse-tju-validation in your project. Claude Code loads it when a task matches its description.
How do I install Jse Tju Validation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-validation -a codex`. Or copy the skill folder (Journal-of-Systems-Engineering-Skills/skills/jse-tju-validation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jse-tju-validation in your project. Codex loads it when a task matches its description.
Can I use Jse Tju Validation 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 jse-tju-validation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jse-tju-validation, .gemini/skills/jse-tju-validation, .github/skills/jse-tju-validation and .opencode/skills/jse-tju-validation in your project.
What does Jse Tju Validation need to run?
SKILL.md names no scripts, command-line tools or credentials: Jse Tju Validation is instructions for the agent only.
Does Jse Tju Validation 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 Jse Tju Validation 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 Jse Tju Validation use?
Jse Tju Validation 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 Jse Tju Validation use?
About 692 tokens (SKILL.md is roughly 2.8k 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 Jse Tju Validation?
Skills that share tags, products or a category with Jse Tju Validation: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jse Tju Validation?
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.