Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
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.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jru-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-workflow --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-workflow .claude/skills/jru-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-workflow into .claude/skills/jru-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-workflow", 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-workflowType 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-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-workflow --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-workflow .agents/skills/jru-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-workflow into .agents/skills/jru-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-workflow", 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-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-workflow --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-workflow .cursor/skills/jru-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-workflow into .cursor/skills/jru-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-workflow", 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-workflow--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-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jru-workflow --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-workflow .gemini/skills/jru-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-workflow into .gemini/skills/jru-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-workflow", 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-workflowInstalls 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-workflow -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-workflow .github/skills/jru-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-workflow into .github/skills/jru-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-workflow", 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-workflow -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-workflow --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-workflow .opencode/skills/jru-workflow && 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-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Risk-and-Uncertainty-Skills/skills/jru-workflow into .opencode/skills/jru-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jru-workflow", 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.
jru-workflowA 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. 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.
11 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 808 words, ~1,834 tokens.
.claude/skills/jru-workflow/SKILL.md (or your agent's skills folder).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.
| Current symptom | Next skill |
|---|---|
| Question feels like a generic anomaly, not a risk/uncertainty primitive | jru-topic-selection |
| Contribution vs. EU/PT/ambiguity literature is fuzzy or oversold | jru-literature-positioning |
| The decision-theoretic representation or axioms are loose | jru-theory-model |
| What identifies the risk/ambiguity parameter (elicitation or structural) is unclear | jru-identification |
| Results may be sensitive to spec, sample, incentive frame, or inference | jru-robustness |
| Exhibits bury the choice patterns / parameter estimates | jru-tables-figures |
| Prose buries the decision model; abstract/intro do not land | jru-writing-style |
| Experiment data, z-Tree/oTree code, or structural code need packaging | jru-replication-package |
| Want to anticipate the likely referee objections before submission | jru-referee-strategy |
| Ready to submit via Springer's portal; need a preflight | jru-submission |
| Received an R&R / reject-and-resubmit; need a response strategy | jru-rebuttal |
jru-topic-selection — lock a genuine risk/uncertainty primitivejru-literature-positioning — stake the contribution vs. EU and its alternativesjru-theory-model — get the decision-theoretic representation rightjru-identification — what elicits or estimates the parameterjru-robustness — incentive-, spec-, and inference-robustnessjru-tables-figures — make choice patterns and estimates legiblejru-writing-style — make the idea land (abstract + intro last)jru-replication-package — assemble experiment instructions + data + codejru-referee-strategy — wargame the report before it arrivesjru-submission — Springer portal preflightjru-rebuttal — after the decision letter
jru-writing-styleis a late-stage polish; do not rewrite the intro before the representation and the elicitation/estimation settle.
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.
| Archetype | Likely first bottleneck | Enter at |
|---|---|---|
| decision-theory / representation | axioms ↔ functional form ↔ behavioral content | jru-theory-model |
| lab/field experiment eliciting risk or ambiguity | incentive-compatible mechanism + estimand | jru-identification → jru-robustness |
| structural / empirical risk preferences (VSL, insurance) | what variation identifies the parameter | jru-identification |
| replication / methods comparison of elicitation devices | design + data + code transparency | jru-replication-package → jru-robustness |
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.
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:
| Tell | Likely better home |
|---|---|
| The contribution is the experimental technique, not a risk primitive | Experimental Economics |
| Several behavioral findings, no single decision-theoretic claim | JEBO |
| Pure axiomatization with no measurable implication | Theory and Decision |
| A managerial decision tool rather than a positive risk claim | Management 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.
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
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
Jru Workflow 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 Workflow this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
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…
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…
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Jru Workflow is instructions for the agent only.
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.
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.
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.
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.
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.
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.