A skill your agent uses when anticipating how a Journal of Policy Analysis and Management (JPAM) manuscript will be evaluated — desk screening, double-blind peer review, the article types and which…

MITAuto-check passedResearch & Science

Install Jpam Review Process

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpam-review-process -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jpam-review-process --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-Policy-Analysis-and-Management-Skills/skills/jpam-review-process .claude/skills/jpam-review-process && 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
jpam-review-process
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
440 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when anticipating how a Journal of Policy Analysis and Management (JPAM) manuscript will be evaluated — desk screening, double-blind peer review, the article types and which…

  • Works in 4 steps: Desk screen. Editors may desk-reject… → Anonymized review preparation. Prepare… → Cross-disciplinary referees. Expect at… → …
  • Anticipating how a Journal of Policy Analysis and Management (JPAM) manuscript will be evaluated — desk screening
  • SKILL.md covers When to trigger, How JPAM evaluates (the…, Article types and peer review and What JPAM referees reward /…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jpam Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when anticipating how a Journal of Policy Analysis and Management (JPAM) manuscript will be evaluated — desk screening, double-blind peer review, the article types and which are not peer-reviewed, decision categories, and what JPAM referees reward and punish. Sets expectations; it does not write the paper or the rebuttal.

Its SKILL.md is about 1.1k 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 Peer review. 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

  • Anticipating how a Journal of Policy Analysis and Management (JPAM) manuscript will be evaluated — desk screening
  • Double-blind peer review
  • The article types and which are not peer-reviewed
  • Decision categories

Example prompts

  • “/jpam-review-process”

Workflow steps

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

  1. Desk screen. Editors may desk-reject without review for fit (not a credible policy
  2. Anonymized review preparation. Prepare an anonymized manuscript plus a separate title page; follow
  3. Cross-disciplinary referees. Expect at least one identification-focused reviewer and one
  4. Decision categories. Reject / major or minor revision (R&R) / accept (exact category labels vary;

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

Jpam Review Process loads about 1.1k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 440 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 440 words, ~1,129 tokens.

Download SKILL.mdSave it as .claude/skills/jpam-review-process/SKILL.md (or your agent's skills folder).
name
jpam-review-process
description
Use when anticipating how a Journal of Policy Analysis and Management (JPAM) manuscript will be evaluated — desk screening, double-blind peer review, the article types and which are not peer-reviewed, decision categories, and what JPAM referees reward and punish. Sets expectations; it does not write the paper or the rebuttal.

Review Process (jpam-review-process)

Knowing how JPAM judges papers lets you pre-empt the objections that sink them. JPAM is an APPAM / Wiley journal with an anonymized-review preflight and a stated right to desk-reject without review. The reviewer pool is cross-disciplinary, so a paper must satisfy an economist's identification standard and a policy reader's relevance standard at once. (Verify volatile specifics on the author page: 检索于 2026-06;以官网为准.)

When to trigger

  • Before submission, to stress-test against likely referee objections
  • Deciding which article type to target and whether it is peer-reviewed
  • Interpreting a decision letter and planning next steps
  • Understanding the desk-screen so you avoid an avoidable desk reject

How JPAM evaluates (the working model)

  1. Desk screen. Editors may desk-reject without review for fit (not a credible policy evaluation / out of scope), inadequate identification, or insufficient significance. The submission must also satisfy the membership-or-fee requirement before it is considered (see jpam-submission).
  2. Anonymized review preparation. Prepare an anonymized manuscript plus a separate title page; follow the live Research Exchange file labels and anonymity prompts. Anonymize self-references.
  3. Cross-disciplinary referees. Expect at least one identification-focused reviewer and one policy/field reviewer. Both must be satisfied — strong design, real relevance.
  4. Decision categories. Reject / major or minor revision (R&R) / accept (exact category labels vary; confirm on the live page). R&R is the common path to publication for promising papers.

Article types and peer review

TypePeer-reviewed?Note
Feature Research ArticleYesthe main research format
Methods for Policy AnalysisYesmethodological advances for analysts
Policy RetrospectiveTypically (confirm)reflective look-back
Point/CounterpointNo (invited)short scholarly debate
Policy InsightsNo (invited; ≤ 3,000 words)rapid, timely take
Book ReviewsNo (invited/edited)—
Show full SKILL.md (167 more words)Show less

What JPAM referees reward / punish

  • Reward: credible identification, a clear policy implication calibrated to the design, cost-benefit and distributional attention, cross-field relevance, and a reproducible package.
  • Punish: overclaiming beyond the estimand, selection-on-observables dressed up as causal, naive TWFE on staggered policies, no policy takeaway, ignoring who bears the costs, and irreproducible code.

Checklist

  • Manuscript survives a self-administered desk screen (fit, identification, significance)
  • Correct article type chosen; peer-review status understood
  • Double-blind anonymization done (text + self-cites + metadata)
  • Design pre-tested against the reviewer-objection checklist
  • Both an identification reviewer and a policy reviewer would be satisfied
  • Replication package staged so it is not a late surprise

Anti-patterns

  • Submitting a paper that an editor will desk-reject for obvious fit/identification gaps
  • Pitching a full research paper into the non-reviewed Point/Counterpoint or Policy Insights slots
  • Satisfying the identification reviewer while ignoring the policy reviewer (or vice versa)
  • Leaving anonymization, fee/membership, or the data package to the last moment

Output format

【Desk-screen risk】fit / identification / significance — clear? [Y/N]
【Article type】+ peer-reviewed? [Y/N]
【Anonymization】text + self-cites + metadata clean? [Y/N]
【Referee coverage】identification + policy reviewers both satisfied? [Y/N]
【Package staged】replication materials ready? [Y/N]
【Next】jpam-submission

Supplementary resources

© 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-Policy-Analysis-and-Management-Skills/skills/jpam-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Jpam Review Process 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.

Jpam Review Process compared with similar skills
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Scholar Evaluationspacering-net/codeg3.9k11 repos~3.2kAutomated safety check: PassMIT
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Academic Paper ReviewerImbad0202/academic-research-skills51k—~11kAutomated safety check: PassCustom licence
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT

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Questions about Jpam Review Process

What does Jpam Review Process do?

A skill your agent uses when anticipating how a Journal of Policy Analysis and Management (JPAM) manuscript will be evaluated — desk screening, double-blind peer review, the article types and which…. Jpam Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when anticipating how a Journal of Policy Analysis and Management (JPAM) manuscript will be evaluated — desk screening, double-blind peer review, the article types and which are not peer-reviewed, decision categories, and what JPAM referees reward and punish.

When should I use Jpam Review Process?

Jpam Review Process fits situations like: anticipating how a Journal of Policy Analysis and Management (JPAM) manuscript will be evaluated — desk screening; double-blind peer review; the article types and which are not peer-reviewed; decision categories.

How do I install Jpam Review Process in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpam-review-process -a claude-code`. Or copy the skill folder (Journal-of-Policy-Analysis-and-Management-Skills/skills/jpam-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jpam-review-process in your project. Claude Code loads it when a task matches its description.

How do I install Jpam Review Process in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jpam-review-process -a codex`. Or copy the skill folder (Journal-of-Policy-Analysis-and-Management-Skills/skills/jpam-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jpam-review-process in your project. Codex loads it when a task matches its description.

Can I use Jpam Review Process 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 jpam-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jpam-review-process, .gemini/skills/jpam-review-process, .github/skills/jpam-review-process and .opencode/skills/jpam-review-process in your project.

What does Jpam Review Process need to run?

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

Does Jpam Review Process 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 Jpam Review Process 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 Jpam Review Process use?

Jpam Review Process 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 Jpam Review Process use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 Jpam Review Process?

Skills that share tags, products or a category with Jpam Review Process: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jpam Review Process?

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.