Review Paper
maxwell2732/paper-replicate-agent-demo
Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections
Agent skill
Jru Replication Package
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement.
Install Jru Replication Package
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-replication-package -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-replication-package --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-Risk-and-Uncertainty-Skills/skills/jru-replication-package .claude/skills/jru-replication-package && 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 "jru-replication-package" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-replication-package into .claude/skills/jru-replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-replication-package", 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-Risk-and-Uncertainty-Skills/skills/jru-replication-packageType 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 jru-replication-package -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-replication-package --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-Risk-and-Uncertainty-Skills/skills/jru-replication-package .agents/skills/jru-replication-package && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jru-replication-package" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-replication-package into .agents/skills/jru-replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-replication-package", 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 jru-replication-package -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-replication-package --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-Risk-and-Uncertainty-Skills/skills/jru-replication-package .cursor/skills/jru-replication-package && 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 "jru-replication-package" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-replication-package into .cursor/skills/jru-replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-replication-package", 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-Risk-and-Uncertainty-Skills/skills/jru-replication-package--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 jru-replication-package -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-replication-package --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-Risk-and-Uncertainty-Skills/skills/jru-replication-package .gemini/skills/jru-replication-package && 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 "jru-replication-package" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-replication-package into .gemini/skills/jru-replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-replication-package", 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 jru-replication-packageInstalls 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 jru-replication-package -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-Risk-and-Uncertainty-Skills/skills/jru-replication-package .github/skills/jru-replication-package && 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 "jru-replication-package" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-replication-package into .github/skills/jru-replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-replication-package", 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 jru-replication-package -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 jru-replication-package --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-Risk-and-Uncertainty-Skills/skills/jru-replication-package .opencode/skills/jru-replication-package && 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 "jru-replication-package" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-replication-package into .opencode/skills/jru-replication-package/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-replication-package", 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
jru-replication-package- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 790 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement.
- Assembling the data
- SKILL.md covers When to trigger, What JRU / Springer expect, Checklist and Common reproducibility…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement
What it does
Jru Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement. Builds a transparent, reproducible package; it does not invent evidence or citations.
Its SKILL.md is about 1.7k 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 and Citation management. 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
- Assembling the data
- Experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement
Example prompts
- “/jru-replication-package”
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
Jru Replication Package loads about 1.7k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 790 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). 790 words, ~1,706 tokens.
Download SKILL.mdSave it as
.claude/skills/jru-replication-package/SKILL.md (or your agent's skills folder).- name
- jru-replication-package
- description
- Use when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement. Builds a transparent, reproducible package; it does not invent evidence or citations.
Replication Package (jru-replication-package)
When to trigger
- The paper has experimental or field results and you need a Data Availability Statement for the Springer submission
- z-Tree / oTree / Qualtrics materials and the structural estimation code exist but are not organized for a stranger to run
- A referee or the editor asks whether the elicitation could be reproduced from the materials provided
- Decisions about what data can be shared (human-subjects constraints) versus what must be documented are unsettled
What JRU / Springer expect
JRU requires a Data Availability Statement on original research articles, and Springer strongly encourages sharing the underlying research data (deposit in a recognized repository, with a citable DOI where possible). For this journal the package has two faces that generic econ replication advice misses: the experiment must be reproducible as a procedure (instructions, screens, incentive rules — not just the resulting dataset), and the structural estimation must be re-runnable (code that recovers the reported parameters). Exact policy wording and any mandatory-deposit details are 待核实 — verify on the official submission guidelines.
The two-face package
| Component | Experimental paper | Structural/empirical paper |
|---|---|---|
| Materials | full instructions, decision screens, comprehension checks, the incentive/payment protocol | data source + access terms, construction of the risk-exposure variable |
| Code | z-Tree/oTree/Qualtrics source + analysis scripts | estimation code (MLE/GMM/MSM), from raw data to every reported parameter |
| Data | subject-level choices (de-identified), session metadata, randomization seeds | analysis dataset or a clear access path if proprietary (e.g., admin/insurer data) |
| Reproducibility | a stranger can re-run the experiment AND re-derive the estimates | one script regenerates every table/figure from raw inputs |
Human-subjects and proprietary data
- De-identify subject data; document the IRB/ethics approval. If raw data cannot be shared, share the derived analysis data plus enough documentation to reproduce results.
- For insurer/administrative VSL-type data, state the access terms and provide the code so the pipeline is auditable even if the data are restricted.
- Pre-registration (if the study was pre-registered): link the registry and report deviations.
Layout that a stranger can run
A clean package for a JRU elicitation or estimation paper has a predictable shape:
/instructions— participant-facing text, decision screens, comprehension checks, payment protocol/experiment— z-Tree/oTree/Qualtrics source, with the random-incentive rule visible in code/data— de-identified subject choices, session metadata, randomization seeds, codebook/code— a singlemasterscript that runs raw → cleaned → every table/figure, plus the structural estimationREADME— software versions, run order, expected outputs, and the data-access path for any restricted inputs
The test is blunt: a colleague with the repository and nothing else should be able to (a) re-run the experiment and (b) reproduce every reported parameter.
Writing the Data Availability Statement
- Match the statement to reality: if data are restricted, say so and give the access route, do not over-promise.
- Cite the deposit with its DOI/repository where one exists; a citable archive is stronger than "available on request."
- Cross-check the statement against the actual deposit before submission — a mismatch is a common, avoidable editorial flag.
Show full SKILL.md (315 more words)Show less
Checklist
- A Data Availability Statement is drafted and matches what is actually deposited
- Experiment: full instructions, screens, comprehension checks, and incentive rules are included (procedure reproducible)
- Experiment software source (z-Tree/oTree/Qualtrics) and randomization seeds provided
- One master script regenerates every table and figure from raw inputs
- Structural code recovers the reported parameters; environment/versions documented
- Data de-identified; IRB/ethics approval documented; proprietary-data access terms stated
- Pre-registration linked and deviations reported (if applicable)
- Policy specifics verified against official guidelines or marked 待核实
Common reproducibility failures in risk papers
- Seeds not saved, so the randomized lottery sequence cannot be regenerated — the experiment is not reproducible even with the software.
- Hand-edited intermediates between raw choices and the estimation, leaving a gap no script bridges.
- Estimation that does not converge to the reported numbers on a clean machine because tolerances, starting values, or package versions were not pinned.
- Comprehension-check data dropped silently in cleaning, so a stranger cannot reproduce the analysis sample.
A quick self-test: clone the package into a fresh directory, run the master script end to end, and confirm it reproduces the headline parameter without manual intervention.
Anti-patterns
- Depositing the dataset but not the instructions — for an elicitation paper the procedure is the method
- A "results.do" that assumes hand-edited intermediate files no one else has
- Sharing identifiable subject data, or omitting the IRB statement
- A Data Availability Statement that promises data not actually in the package
- Treating Springer's data policy as optional; the statement is required even when data are restricted
Worked vignette (illustrative)
An ambiguity-elicitation paper deposits only the cleaned choice matrix. A referee cannot tell whether the matching-probabilities task was incentive-compatible as run. The JRU-ready package adds the oTree source, the on-screen instructions and comprehension checks, the random-incentive payment rule, the session seeds, and a single script that goes from raw choices to the reported α-MEU estimate — so the elicitation and the estimate are both reproducible.
Output format
【Journal】Journal of Risk and Uncertainty
【Skill】jru-replication-package
【Verdict】ready / complete materials / fix access
【DAS drafted】matches deposit [Y/N]
【Experiment reproducible】instructions+screens+incentives+seeds [Y/N]
【Code reproducible】master script regenerates all exhibits [Y/N]
【Ethics/data】IRB documented; de-identified; access terms stated [Y/N]
【Policy status】verified / 待核实
【Next skill】jru-referee-strategy© 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-Risk-and-Uncertainty-Skills/skills/jru-replication-package of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jru Replication Package 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 |
|---|---|---|---|---|---|---|
| Jru Replication Package this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Review Papermaxwell2732/paper-replicate-agent-demo | 137 | 3 repos | ~1.1k | Automated safety check: Pass | None | |
| Scholar Causaljoshzyj/open-scholar-skill | 168 | — | ~10k | Automated safety check: Pass | Custom licence | |
| Fin Ref Papercsmar432/finai-research | 109 | — | ~2k | Automated safety check: Pass | MIT | |
| Paper Excellencebrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~914 | Automated safety check: Notes | Custom licence | |
| Review Paperbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.6k | Automated safety check: Pass | Custom licence |
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从LITREVIEW.md和IDEAREPORT.md中提取参考文献，自动生成符合JF/JFE/RFS/GB-T-7714格式的references.bib，并管理引用一致性。
Paper Excellence
brycewang-stanford/Auto-Empirical-Research-Skills
Comprehensive multi-dimensional review of the sewage-house-prices project.
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Questions about Jru Replication Package
What does Jru Replication Package do?
A skill your agent uses when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement. Jru Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement.
When should I use Jru Replication Package?
Jru Replication Package fits situations like: assembling the data; experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data Availability Statement.
How do I install Jru Replication Package in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-replication-package -a claude-code`. Or copy the skill folder (Journal-of-Risk-and-Uncertainty-Skills/skills/jru-replication-package in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jru-replication-package in your project. Claude Code loads it when a task matches its description.
How do I install Jru Replication Package in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-replication-package -a codex`. Or copy the skill folder (Journal-of-Risk-and-Uncertainty-Skills/skills/jru-replication-package in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jru-replication-package in your project. Codex loads it when a task matches its description.
Can I use Jru Replication Package 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 jru-replication-package -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jru-replication-package, .gemini/skills/jru-replication-package, .github/skills/jru-replication-package and .opencode/skills/jru-replication-package in your project.
What does Jru Replication Package need to run?
SKILL.md names no scripts, command-line tools or credentials: Jru Replication Package is instructions for the agent only.
Does Jru Replication Package 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 Jru Replication Package 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 Jru Replication Package use?
Jru Replication Package 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 Jru Replication Package use?
About 1.7k tokens (SKILL.md is roughly 6.8k 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 Jru Replication Package?
Skills that share tags, products or a category with Jru Replication Package: Review Paper (maxwell2732/paper-replicate-agent-demo, 137 stars), Scholar Causal (joshzyj/open-scholar-skill, 168 stars), Fin Ref Paper (csmar432/finai-research, 109 stars) and Paper Excellence (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jru Replication Package?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.