A skill your agent uses when the prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision.

MITAuto-check passedWriting & Content

Install Jru Writing Style

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-writing-style --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-writing-style .claude/skills/jru-writing-style && 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-writing-style
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
870 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision.

  • Works in 4 steps: The primitive and the question ("How… → The method in a phrase… → The headline result as a number with a… → …
  • The prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision
  • SKILL.md covers When to trigger, The JRU voice, Checklist and Anti-patterns, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jru Writing Style is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision. Sharpens abstract, intro, and exposition for a risk/uncertainty audience; 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 Writing & Content, covering Brand voice and tone 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

  • The prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision
  • Tasks that involve Brand voice and tone
  • Tasks that involve Citation management

Example prompts

  • “/jru-writing-style”

Workflow steps

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

  1. The primitive and the question ("How does ambiguity attitude shape insurance takeup?").
  2. The method in a phrase (incentive-compatible elicitation; hedonic-wage estimation; an axiomatization).
  3. The headline result as a number with a direction (a magnitude, not "significant").
  4. The decision-theoretic interpretation — what it implies for EU vs. its alternatives.

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 Writing Style loads about 1.7k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 870 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 870 words, ~1,727 tokens.

Download SKILL.mdSave it as .claude/skills/jru-writing-style/SKILL.md (or your agent's skills folder).
name
jru-writing-style
description
Use when the prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision. Sharpens abstract, intro, and exposition for a risk/uncertainty audience; it does not invent evidence or citations.

Writing Style (jru-writing-style)

When to trigger

  • The abstract says "we study risk preferences" without naming the primitive, the method, or the headline number
  • The introduction motivates with a policy anecdote but never states the decision-theoretic claim
  • Notation drifts: the same symbol means utility in one section and value in another, or w(p) is never formally introduced
  • The paper reads as either pure theory or pure empirics when JRU readers expect the bridge between them

The JRU voice

JRU prose is precise about the decision model and honest about measurement. The reader is a risk-and-uncertainty specialist who wants, fast: which primitive the paper moves, how it was elicited or estimated, and how big and how precise the effect is. The house register is technical but not ornamental — the model earns its symbols, and every claim is calibrated to what the identification supports.

Abstract (treat each sentence as load-bearing)
  1. The primitive and the question ("How does ambiguity attitude shape insurance takeup?").
  2. The method in a phrase (incentive-compatible elicitation; hedonic-wage estimation; an axiomatization).
  3. The headline result as a number with a direction (a magnitude, not "significant").
  4. The decision-theoretic interpretation — what it implies for EU vs. its alternatives. Keep within the journal's abstract limit (待核实 — verify exact word cap on the official guidelines).
Introduction
  • Open on the decision-theoretic puzzle, not a news hook. The motivating tension should be a gap in how we represent or measure a risk primitive.
  • State the contribution as a property of a primitive in the first page (mirror jru-literature-positioning).
  • Preview the identification in one or two sentences — JRU readers want to know what pins the parameter before the results.
  • Tell the reader what the paper does not claim; over-claiming is the fastest route to a skeptical referee.
Exposition
  • Introduce the representation formally before interpreting it; define u, w(p), the prior set, the reference point once and use them consistently.
  • Report effects as magnitudes with precision, in interpretable units (a VSL in dollars, an elasticity, a λ).
  • Keep the experiment's incentive structure and the estimand visible in the main text, not buried in a procedures appendix.
Calibrating claims to the evidence

JRU's referees are quick to flag prose that runs ahead of the identification. A few habits keep the register honest:

  • Match the verb to the design. Write "is associated with" for a correlation, "raises" only where the identification supports causation, "is consistent with" when a model fits but is not uniquely identified.
  • Quantify, then interpret. Lead with the number and its precision; follow with the decision-theoretic reading. Avoid an interpretation the confidence interval cannot bear.
  • Name the scope of the claim. A lab estimate of loss aversion is a statement about the elicited population and stakes, not a universal constant — say so.
  • Reserve "robust" for the robustness section. Do not assert robustness in the intro before the checks in jru-robustness are reported.
Section-by-section register
  • Model section: terse and formal — definitions, then results, then one paragraph of interpretation.
  • Design / data section: concrete — the mechanism, the stakes, the estimand, the sample, in plain sequence.
  • Results section: numbers with precision first, decision-theoretic meaning second.
  • Discussion: the boundary of the claim and what it implies for EU vs. its alternatives, without re-litigating the introduction.
Show full SKILL.md (335 more words)Show less

Checklist

  • The abstract names the primitive, the method, a signed magnitude, and the EU-vs-alternatives interpretation
  • The intro opens on a decision-theoretic puzzle and states the contribution within the first page
  • The identification is previewed before the results
  • Notation for u, w(p), priors, and reference point is defined once and used consistently
  • Effects are reported as magnitudes in interpretable units, with precision
  • The paper explicitly states what it does not claim
  • Abstract/length conform to the journal limits (verify exact caps; mark 待核实 if unconfirmed)

Anti-patterns

  • An abstract that says "significant effects" without a number or a direction
  • A policy-anecdote opening that never reaches the decision model
  • Symbol drift (u vs. v, w(p) introduced only in a footnote)
  • Hiding the incentive mechanism or estimand in an appendix while the intro makes strong claims
  • Prose that over-states generality beyond what the elicitation/estimation supports

Worked vignette (illustrative)

A draft abstract reads: "We run an experiment on decision-making and find significant behavioral effects." The JRU rewrite: "We elicit ambiguity attitudes with an incentive-compatible matching-probabilities task (N illustrative) and estimate an α-MEU model. Ambiguity aversion (α illustrative 0.62) raises the willingness to pay for an unambiguous prospect by [magnitude], a wedge expected utility cannot generate. The result implies insurance demand responds to ambiguity, not just to risk." Same study — but the primitive, method, magnitude, and theoretical stakes are all visible.

Terminology a JRU reader expects you to use precisely

Sloppy vocabulary signals a non-specialist. Use these distinctions exactly:

  • Risk (known probabilities) vs. uncertainty / ambiguity (unknown probabilities) — never interchangeable.
  • Risk aversion (utility curvature) vs. probability weighting (distortion of p) vs. loss aversion (asymmetry around a reference point) — three different things, not synonyms for "cautious."
  • Value v(·) (prospect-theory carrier of utility over gains/losses) vs. utility u(·) (EU carrier over final wealth) — keep the symbols distinct.
  • Certainty equivalent, risk premium, willingness to pay — defined precisely, not used loosely.

A paper that uses these terms cleanly reads as written by an insider; one that blurs them invites the referee to doubt the rest.

Output format

text
【Journal】Journal of Risk and Uncertainty
【Skill】jru-writing-style
【Verdict】lands / tighten / rebuild abstract
【Abstract has】primitive + method + signed magnitude + EU-vs-alt interpretation [Y/N]
【Intro】decision-theoretic puzzle + contribution on page 1 [Y/N]
【Notation】consistent u / w(p) / priors / reference point [Y/N]
【Limits】abstract/length within journal caps (待核实) [Y/N]
【Next skill】jru-replication-package

© 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-writing-style of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jru Writing Style 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.

Jru Writing Style compared with similar skills
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Jru Writing Style this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
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Jaar Writing Stylefranklee16/academic-research-skills2231 repos~760Automated safety check: PassNone
Jcf Writing Stylefranklee16/academic-research-skills2231 repos~669Automated safety check: PassNone
Jpe Writing Stylefranklee16/academic-research-skills2231 repos~1.1kAutomated safety check: PassNone
Mgsci Writing Stylefranklee16/academic-research-skills2231 repos~875Automated safety check: PassNone

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Questions about Jru Writing Style

What does Jru Writing Style do?

A skill your agent uses when the prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision. Jru Writing Style is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision.

When should I use Jru Writing Style?

Jru Writing Style fits situations like: the prose of a Journal of Risk and Uncertainty (JRU) manuscript must convey a decision model and its measurement with precision; tasks that involve Brand voice and tone; tasks that involve Citation management.

How do I install Jru Writing Style in Claude Code?

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

How do I install Jru Writing Style in Codex?

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

Can I use Jru Writing Style 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-writing-style -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-writing-style, .gemini/skills/jru-writing-style, .github/skills/jru-writing-style and .opencode/skills/jru-writing-style in your project.

What does Jru Writing Style need to run?

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

Does Jru Writing Style 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 Writing Style 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 Writing Style use?

Jru Writing Style 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 Writing Style use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Writing Style?

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Who maintains Jru Writing Style?

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.