Agent skill

Jru Literature Positioning

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when staking a Journal of Risk and Uncertainty (JRU) manuscript's contribution against the expected-utility-and-alternatives literature.

MITAuto-check passedMarketing & SEO

Install Jru Literature Positioning

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-literature-positioning --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-literature-positioning .claude/skills/jru-literature-positioning && 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-literature-positioning
GitHub stars
1.2k
Token cost
~2k tokens
SKILL.md length
1,036 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when staking a Journal of Risk and Uncertainty (JRU) manuscript's contribution against the expected-utility-and-alternatives literature.

  • Works in 5 steps: Name the single conversation the paper… → State the gap as a property of a… → Distinguish incremental within a… → …
  • Staking a Journal of Risk and Uncertainty (JRU) manuscripts contribution against the expected-utility-and-alternatives literature
  • SKILL.md covers When to trigger, The conversations JRU papers…, How to stake the contribution and Citation discipline for a…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jru Literature Positioning is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when staking a Journal of Risk and Uncertainty (JRU) manuscript's contribution against the expected-utility-and-alternatives literature. Positions the claim within risk/uncertainty scholarship; it does not invent evidence or citations.

Its SKILL.md is about 2k 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 Marketing & SEO, covering Positioning and messaging 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

  • Staking a Journal of Risk and Uncertainty (JRU) manuscripts contribution against the expected-utility-and-alternatives literature
  • Tasks that involve Positioning and messaging
  • Tasks that involve Citation management

Example prompts

  • “/jru-literature-positioning”

Workflow steps

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

  1. Name the single conversation the paper joins and the two or three primary papers it directly extends or contradicts (primary sources, not…
  2. State the gap as a property of a primitive: a representation that the existing models cannot generate, a measurement bias prior work…
  3. Distinguish incremental within a paradigm (a sharper estimate of probability weighting) from cross-paradigm (evidence that adjudicates EU…
  4. Pre-empt the "already known" objection by stating what is genuinely new relative to the closest prior result, in one sentence.
  5. Hand off to jru-theory-model (if the contribution is a representation) or jru-identification (if it is a measurement/estimate).

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 Literature Positioning loads about 2k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 1,036 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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). 1,036 words, ~2,001 tokens.

Download SKILL.mdSave it as .claude/skills/jru-literature-positioning/SKILL.md (or your agent's skills folder).
name
jru-literature-positioning
description
Use when staking a Journal of Risk and Uncertainty (JRU) manuscript's contribution against the expected-utility-and-alternatives literature. Positions the claim within risk/uncertainty scholarship; it does not invent evidence or citations.

Literature Positioning (jru-literature-positioning)

When to trigger

  • The contribution is described as "new" but the relevant decision-theory or measurement literature is not engaged
  • A referee is likely to say "this was settled by [the prospect-theory / ambiguity / VSL literature] decades ago"
  • The paper sits between behavioral camps (EU loyalists vs. PT/RDU vs. ambiguity) and has not declared which conversation it joins
  • Citations lean on textbooks and reviews rather than the primary representations the paper builds on

The conversations JRU papers must locate themselves in

JRU readers hold a precise map of the field. Position the paper on it explicitly rather than against "the literature" generically:

  • Expected utility and its critiques — vNM/Savage as the benchmark; the Allais and Ellsberg paradoxes as the canonical anomalies a contribution must respect or explain.
  • Non-EU under risk — prospect theory and cumulative prospect theory (probability weighting, loss aversion, reference dependence); rank-dependent utility; disappointment/regret models. Say which functional family you adopt and why.
  • Uncertainty / ambiguity — maxmin and α-MEU, smooth ambiguity, variational and multiplier preferences, source-dependent weighting. If the paper is about ambiguity, it must not be positioned only against risk models.
  • Measurement and elicitation — the lineage of choice-list / multiple-price-list, BDM, and matching-probability methods, and the known biases each carries.
  • VSL and risk valuation — hedonic-wage and stated-preference traditions; the publication-selection / meta-analysis debates that any new VSL estimate must engage.
  • Insurance and precaution — demand-for-insurance puzzles, takeup under ambiguity, precautionary saving.

How to stake the contribution

  1. Name the single conversation the paper joins and the two or three primary papers it directly extends or contradicts (primary sources, not reviews).
  2. State the gap as a property of a primitive: a representation that the existing models cannot generate, a measurement bias prior work conflated, an estimate prior work could not identify.
  3. Distinguish incremental within a paradigm (a sharper estimate of probability weighting) from cross-paradigm (evidence that adjudicates EU vs. PT) — JRU values both, but they need different framing and different referees.
  4. Pre-empt the "already known" objection by stating what is genuinely new relative to the closest prior result, in one sentence.
  5. Hand off to jru-theory-model (if the contribution is a representation) or jru-identification (if it is a measurement/estimate).

Citation discipline for a specialist readership

JRU referees are likely to be among the authors you cite, so the bibliography is read as a map of how well you know the field — not as a formality.

  • Cite the representation you use, in its original form. If you fit cumulative prospect theory you owe the rank-dependent and sign-dependent foundations, not only a survey that mentions them.
  • Cite the elicitation lineage. A choice-list or BDM design should cite the methodological papers that established and critiqued the device, so the referee knows you adopted it with eyes open.
  • Engage the inconvenient result. If a prior paper found the opposite sign or a smaller weighting distortion, cite it and explain the difference (sample, stakes, design) — burying it invites a rejection on incomplete scholarship.
  • Avoid review-only citations for load-bearing claims; a review can frame, but the contribution must be located against primary work.

Worked vignette (illustrative)

A draft claims to be "the first to measure ambiguity aversion in insurance choices." A JRU referee immediately recalls the ambiguity-and-insurance literature and the smooth-ambiguity tradition. The repositioned paper drops the "first" framing and instead stakes a primitive claim: existing estimates conflate ambiguity attitude with pessimistic beliefs, and the paper's design separates them, sharpening the ambiguity index by an identified amount. The two closest prior estimates are cited with the delta from each stated in the introduction — turning a vulnerable novelty claim into a defensible contribution.

Show full SKILL.md (440 more words)Show less

Positioning across paradigms vs. within one

The framing changes sharply depending on the ambition:

  • Within a paradigm (e.g., a sharper Prelec estimate, a cleaner VSL): position against the best prior estimate, lead with precision and identification, and let the contribution be "we measure X better, and here is why the old number was off."
  • Cross-paradigm (evidence that adjudicates EU vs. CPT, or risk vs. ambiguity): position against both camps' canonical predictions, give each its fair test, and make the discriminating prediction the centerpiece — referees will be drawn from the camp you challenge.
  • Methodological (a new elicitation that reveals a primitive prior devices distorted): position against the device literature, not the substantive literature, and show the old device's bias quantitatively.

A common failure is writing a within-paradigm paper with cross-paradigm rhetoric ("we overturn expected utility") that the evidence cannot support — calibrate the claim to the design.

Checklist

  • The paper declares which decision-theory conversation it joins (EU critique / non-EU risk / ambiguity / measurement / VSL / insurance)
  • The two or three closest primary papers are cited and the delta from each is stated
  • Ambiguity papers engage ambiguity models, not just risk models (and vice versa)
  • A new VSL or insurance estimate engages the relevant meta-analytic / selection debate
  • The contribution is framed as a property of a primitive, not as "a new context"
  • No citation is asserted that has not been verified; uncertain ones marked 待核实

Where the introduction makes the contribution land

The positioning is only as strong as where it sits in the paper:

  • The delta from the closest prior result belongs on page one, in a sentence a referee can quote when recommending acceptance — not buried in a related-work section near the end.
  • Frame the gap as a question the field already cares about, then show prior work could not answer it for a stated reason (no design to separate u from w; no variation to separate preferences from beliefs).
  • Acknowledge the strongest prior result fairly before stating your advance; a generous reading of the predecessor makes your delta more credible, not less.

A contribution paragraph that names the conversation, the closest two papers, the gap, and the advance — in four sentences — is what a JRU editor scans for first.

Anti-patterns

  • Citing Kahneman–Tversky or Savage as a courtesy while the actual contribution floats free of any model
  • Positioning an ambiguity paper as if Ellsberg and the smooth-ambiguity literature did not exist
  • "First to study X in country Y" framing — context novelty is not a JRU contribution by itself
  • Strawmanning EU: JRU referees include EU defenders who will punish a caricature
  • Burying the delta-from-prior-work in the discussion section instead of the introduction

Output format

text
【Journal】Journal of Risk and Uncertainty
【Skill】jru-literature-positioning
【Verdict】well-positioned / re-anchor / under-cited
【Conversation joined】EU critique / non-EU risk / ambiguity / measurement / VSL / insurance
【Closest prior work】<2-3 primary papers> and the delta from each
【Incremental vs. cross-paradigm】which, and why JRU cares
【Source status】verified / 待核实 / not asserted
【Next skill】jru-theory-model OR jru-identification

© 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-literature-positioning of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jru Literature Positioning 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 Literature Positioning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jru Literature Positioning this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~2kAutomated safety check: PassMIT
Est Literature Positioningfranklee16/academic-research-skills2231 repos~750Automated safety check: PassNone
Jmr Literature Positioningfranklee16/academic-research-skills2231 repos~877Automated safety check: PassNone
Jole Literature Positioningfranklee16/academic-research-skills2231 repos~907Automated safety check: PassNone
Jpe Literature Positioningfranklee16/academic-research-skills2231 repos~1.1kAutomated safety check: PassNone
Rof Literature Positioningfranklee16/academic-research-skills2231 repos~654Automated safety check: PassNone

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Questions about Jru Literature Positioning

What does Jru Literature Positioning do?

A skill your agent uses when staking a Journal of Risk and Uncertainty (JRU) manuscript's contribution against the expected-utility-and-alternatives literature. Jru Literature Positioning is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when staking a Journal of Risk and Uncertainty (JRU) manuscript's contribution against the expected-utility-and-alternatives literature.

When should I use Jru Literature Positioning?

Jru Literature Positioning fits situations like: staking a Journal of Risk and Uncertainty (JRU) manuscripts contribution against the expected-utility-and-alternatives literature; tasks that involve Positioning and messaging; tasks that involve Citation management.

How do I install Jru Literature Positioning in Claude Code?

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

How do I install Jru Literature Positioning in Codex?

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

Can I use Jru Literature Positioning 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-literature-positioning -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-literature-positioning, .gemini/skills/jru-literature-positioning, .github/skills/jru-literature-positioning and .opencode/skills/jru-literature-positioning in your project.

What does Jru Literature Positioning need to run?

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

Does Jru Literature Positioning 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 Literature Positioning 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 Literature Positioning use?

Jru Literature Positioning 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 Literature Positioning use?

About 2k tokens (SKILL.md is roughly 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 Literature Positioning?

Skills that share tags, products or a category with Jru Literature Positioning: Est Literature Positioning (franklee16/academic-research-skills, 223 stars), Jmr Literature Positioning (franklee16/academic-research-skills, 223 stars), Jole Literature Positioning (franklee16/academic-research-skills, 223 stars) and Jpe Literature Positioning (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jru Literature Positioning?

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.