A skill your agent uses when deciding which jru- sub-skill to invoke next, or when sequencing manuscript work from question through rebuttal for a Journal of Risk and Uncertainty (JRU) submission.

MITAuto-check passedResearch & Science

Install Jru Workflow

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-workflow -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-workflow --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-Risk-and-Uncertainty-Skills/skills/jru-workflow .claude/skills/jru-workflow && 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
jru-workflow
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
808 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding which jru- sub-skill to invoke next, or when sequencing manuscript work from question through rebuttal for a Journal of Risk and Uncertainty (JRU) submission.

  • Works in 11 steps: jru-topic-selection — lock a genuine… → jru-literature-positioning — stake the… → jru-theory-model — get the… → …
  • Deciding which jru- sub-skill to invoke next
  • SKILL.md covers Overview, When to trigger, Routing table and Default order, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jru Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which jru- sub-skill to invoke next, or when sequencing manuscript work from question through rebuttal for a Journal of Risk and Uncertainty (JRU) submission. Routes — it does not replace — the specialized skills.

Its SKILL.md is about 1.8k 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. 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

  • Deciding which jru- sub-skill to invoke next
  • Sequencing manuscript work from question through rebuttal for a Journal of Risk and Uncertainty (JRU) submission

Example prompts

  • “/jru-workflow”

Workflow steps

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

  1. jru-topic-selection — lock a genuine risk/uncertainty primitive
  2. jru-literature-positioning — stake the contribution vs. EU and its alternatives
  3. jru-theory-model — get the decision-theoretic representation right
  4. jru-identification — what elicits or estimates the parameter
  5. jru-robustness — incentive-, spec-, and inference-robustness
  6. jru-tables-figures — make choice patterns and estimates legible
  7. jru-writing-style — make the idea land (abstract + intro last)
  8. jru-replication-package — assemble experiment instructions + data + code
  9. jru-referee-strategy — wargame the report before it arrives
  10. jru-submission — Springer portal preflight
  11. jru-rebuttal — after the decision letter

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 Workflow loads about 1.8k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 808 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 808 words, ~1,834 tokens.

Download SKILL.mdSave it as .claude/skills/jru-workflow/SKILL.md (or your agent's skills folder).
name
jru-workflow
description
Use when deciding which jru-* sub-skill to invoke next, or when sequencing manuscript work from question through rebuttal for a Journal of Risk and Uncertainty (JRU) submission. Routes — it does not replace — the specialized skills.

JRU Workflow Router (jru-workflow)

Overview

This is the router. It tells you which jru- skill to use at the current stage* of a manuscript aimed at the Journal of Risk and Uncertainty (JRU) — the field's leading specialized outlet for decision-making under risk and uncertainty. Founded in 1988 and edited since by W. Kip Viscusi (Vanderbilt), published by Springer (Springer Nature Link; ISSN 0895-5646 print / 1573-0476 electronic), JRU is the home journal of expected utility and its alternatives (prospect theory, rank-dependent utility, ambiguity / Knightian uncertainty), of risk-preference measurement, of the value of a statistical life (VSL), and of insurance, precaution, and intertemporal risk. It publishes decision theory, lab and field experiments, and empirical / structural estimation side by side.

Default assumption: unless the user says otherwise, treat the target as JRU. Operational tells that you are at JRU and not a sibling: the paper's object is a risk or uncertainty primitive — a utility/probability-weighting representation, an elicited risk or ambiguity parameter, a VSL, an insurance-demand elasticity — not a market design, a game-theoretic equilibrium, or a generic behavioral anomaly. Volatile process specifics (exact word/abstract limits, OA fees, board members) are marked (检索于 2026-06;以官网为准) or 待核实; never invent them.

When to trigger

  • The user asks "what should I do next?" on a JRU-bound draft
  • A draft needs its current bottleneck diagnosed (theory vs. elicitation vs. estimation)
  • Work is ping-ponging between the decision model, the experiment, the empirics, and the response letter
  • A JRU decision letter arrived and the user needs to switch into revision mode

Routing table

Current symptomNext skill
Question feels like a generic anomaly, not a risk/uncertainty primitivejru-topic-selection
Contribution vs. EU/PT/ambiguity literature is fuzzy or oversoldjru-literature-positioning
The decision-theoretic representation or axioms are loosejru-theory-model
What identifies the risk/ambiguity parameter (elicitation or structural) is unclearjru-identification
Results may be sensitive to spec, sample, incentive frame, or inferencejru-robustness
Exhibits bury the choice patterns / parameter estimatesjru-tables-figures
Prose buries the decision model; abstract/intro do not landjru-writing-style
Experiment data, z-Tree/oTree code, or structural code need packagingjru-replication-package
Want to anticipate the likely referee objections before submissionjru-referee-strategy
Ready to submit via Springer's portal; need a preflightjru-submission
Received an R&R / reject-and-resubmit; need a response strategyjru-rebuttal

Default order

  1. jru-topic-selection — lock a genuine risk/uncertainty primitive
  2. jru-literature-positioning — stake the contribution vs. EU and its alternatives
  3. jru-theory-model — get the decision-theoretic representation right
  4. jru-identification — what elicits or estimates the parameter
  5. jru-robustness — incentive-, spec-, and inference-robustness
  6. jru-tables-figures — make choice patterns and estimates legible
  7. jru-writing-style — make the idea land (abstract + intro last)
  8. jru-replication-package — assemble experiment instructions + data + code
  9. jru-referee-strategy — wargame the report before it arrives
  10. jru-submission — Springer portal preflight
  11. jru-rebuttal — after the decision letter

jru-writing-style is a late-stage polish; do not rewrite the intro before the representation and the elicitation/estimation settle.

Show full SKILL.md (344 more words)Show less

Anti-patterns

  • Treating JRU as interchangeable with Experimental Economics (which is method-general — it cares whether the experiment is well-run, not whether the object is a risk primitive)
  • Treating JRU as JEBO (broad behavioral / organizational) or Theory and Decision (pure axiomatics with no measurement)
  • Polishing exhibits while the parameter estimates are still moving
  • Letting an appendix carry the axiom or the incentive-compatibility argument the main text must establish

Routing by paper archetype

JRU spans four risk-and-uncertainty branches, and the binding constraint differs by branch. Read the archetype, then enter the chain at the right link.

ArchetypeLikely first bottleneckEnter at
decision-theory / representationaxioms ↔ functional form ↔ behavioral contentjru-theory-model
lab/field experiment eliciting risk or ambiguityincentive-compatible mechanism + estimandjru-identification → jru-robustness
structural / empirical risk preferences (VSL, insurance)what variation identifies the parameterjru-identification
replication / methods comparison of elicitation devicesdesign + data + code transparencyjru-replication-package → jru-robustness

Worked routing example (illustrative)

A user says: "We elicit ambiguity aversion with a matching-probabilities task and estimate an α-MEU model, but a referee says the elicitation is not incentive-compatible and the model is unfalsifiable." That is two distinct JRU pushbacks — the mechanism does not truthfully reveal the preference (owned by jru-identification) and the representation has no behavioral content (owned by jru-theory-model). Fix the representation first so the estimand is well-defined, then defend the mechanism; only once the headline ambiguity parameter is stable do you return to jru-tables-figures and jru-rebuttal.

Sibling-venue routing (when JRU may be the wrong home)

Part of routing is catching a paper that should not be at JRU at all. If the diagnosis below fits, the binding step is jru-topic-selection (to re-anchor) or a different venue entirely:

TellLikely better home
The contribution is the experimental technique, not a risk primitiveExperimental Economics
Several behavioral findings, no single decision-theoretic claimJEBO
Pure axiomatization with no measurable implicationTheory and Decision
A managerial decision tool rather than a positive risk claimManagement Science (decision analysis)

If the primitive is the headline and the application is merely the setting, JRU is right — route into the chain at jru-topic-selection.

Minimal decision snippet

if decision_letter_arrived:        -> jru-rebuttal
elif ready_to_submit:              -> jru-submission
elif anticipating_referees:        -> jru-referee-strategy
elif exhibits_unclear:             -> jru-tables-figures
elif results_fragile:              -> jru-robustness
elif parameter_id_unclear:         -> jru-identification
elif representation_loose:         -> jru-theory-model
elif contribution_fuzzy:           -> jru-literature-positioning
else:                              -> jru-topic-selection

© 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-workflow of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Jru Workflow

What does Jru Workflow do?

A skill your agent uses when deciding which jru- sub-skill to invoke next, or when sequencing manuscript work from question through rebuttal for a Journal of Risk and Uncertainty (JRU) submission. Jru Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding which jru- sub-skill to invoke next, or when sequencing manuscript work from question through rebuttal for a Journal of Risk and Uncertainty (JRU) submission.

When should I use Jru Workflow?

Jru Workflow fits situations like: deciding which jru- sub-skill to invoke next; sequencing manuscript work from question through rebuttal for a Journal of Risk and Uncertainty (JRU) submission.

How do I install Jru Workflow in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-workflow -a claude-code`. Or copy the skill folder (Journal-of-Risk-and-Uncertainty-Skills/skills/jru-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jru-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Jru Workflow in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-workflow -a codex`. Or copy the skill folder (Journal-of-Risk-and-Uncertainty-Skills/skills/jru-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jru-workflow in your project. Codex loads it when a task matches its description.

Can I use Jru Workflow 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-workflow -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-workflow, .gemini/skills/jru-workflow, .github/skills/jru-workflow and .opencode/skills/jru-workflow in your project.

What does Jru Workflow need to run?

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

Does Jru Workflow 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 Workflow 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 Workflow use?

Jru Workflow 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 Workflow use?

About 1.8k tokens (SKILL.md is roughly 7.3k 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 Workflow?

Skills that share tags, products or a category with Jru Workflow: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jru Workflow?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.