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Agent skill

Respol Review Process

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

A skill your agent uses when calibrating expectations and choreography for the Research Policy (RP) review cycle — the double-blind process, the out-of-scope desk screen, handling-editor routing…

MITAuto-check passed

Install Respol Review Process

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills respol-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/Research-Policy-Skills/skills/respol-review-process .claude/skills/respol-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
respol-review-process
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
550 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when calibrating expectations and choreography for the Research Policy (RP) review cycle — the double-blind process, the out-of-scope desk screen, handling-editor routing…

  • Calibrating expectations and choreography for the Research Policy (RP) review cycle — the double-blind process
  • SKILL.md covers When to trigger, How Research Policy review…, What RP referees reward vs.… and Reading the decision letter…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • The out-of-scope desk screen

What it does

Respol Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when calibrating expectations and choreography for the Research Policy (RP) review cycle — the double-blind process, the out-of-scope desk screen, handling-editor routing, the Research Note option, and what RP referees reward versus reject. Sets expectations; it does not draft the response letter (respol-rebuttal).

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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

  • Calibrating expectations and choreography for the Research Policy (RP) review cycle — the double-blind process
  • The out-of-scope desk screen
  • Handling-editor routing
  • The Research Note option

Example prompts

  • “/respol-review-process”

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

Respol Review Process loads about 1.3k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 550 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 550 words, ~1,276 tokens.

Download SKILL.mdSave it as .claude/skills/respol-review-process/SKILL.md (or your agent's skills folder).
name
respol-review-process
description
Use when calibrating expectations and choreography for the Research Policy (RP) review cycle — the double-blind process, the out-of-scope desk screen, handling-editor routing, the Research Note option, and what RP referees reward versus reject. Sets expectations; it does not draft the response letter (respol-rebuttal).

Review Process (respol-review-process)

When to trigger

  • You want realistic odds and timelines before or after submitting to RP
  • A desk reject arrived and you need to read whether it was scope, contribution, or fit
  • You are deciding whether to position the work as a full article or a Research Note
  • A decision letter arrived (reject / major / minor) and you need to plan, not yet write, the response
  • You are weighing transfer to a sibling (ICC, Technovation, JPIM) after an RP rejection

How Research Policy review actually works

RP runs a double-blind process (检索于 2026-06；以官网为准): the Editor-in-Chief routes a submission to a Handling Editor matched to its area (innovation systems, science/technology policy, entrepreneurship and innovation, university-industry interactions, R&D management, or innovation methodology), who manages the referees and the decision. Before referees, there is a desk screen that tests two things: whether the paper is genuinely innovation studies (the out-of-scope filter for econ/management-only papers) and whether the substantive contribution is plausible. Surviving that, expect a small number of expert referees and the standard reject / major-revision / minor-revision / accept ladder. Treat all timeline numbers as volatile and verify on the live journal pages (待核实).

What RP referees reward vs. punish

RP referees rewardRP referees punish / desk-reject
A genuine advance to innovation theory or evidenceTechnique-as-contribution with no innovation-studies payoff
Construct-disciplined patent/bibliometric or mixed-methods work"Patents = innovation" and black-box pipelines
A claim with an earned policy/managerial implicationA token "implications for policymakers" paragraph
Engagement with the RP/SPRU canonA lit base that is "all economics or management journals" (out of scope)
Methodological pluralism fit to the questionA default design forced onto the wrong question

Reading the decision letter and planning the cycle

  • Desk reject (scope): the literature/framing signaled the wrong audience. Re-anchor in innovation studies (→ respol-topic-selection, respol-literature-positioning) before any other venue.
  • Desk reject (contribution): the so-what was not RP-grade. Sharpen the advance (→ respol-contribution-framing), or consider a sibling honestly.
  • Major revision: the most common path to acceptance. Triage referee points into (a) must-fix identification/construct issues, (b) framing/positioning, (c) discretionary. Plan the analysis before drafting the letter.
  • Minor revision: mostly exhibits, clarity, and framing — handle with respol-tables-figures / respol-writing-style.
  • Research Note pivot: if the contribution is real but compact, the Note format (~3–5k words, with a justifying cover letter) may fit better than padding a thin full article.
Show full SKILL.md (168 more words)Show less

When to consider a sibling instead

  • Firm performance / competitive advantage lens dominates → SMJ.
  • Industrial dynamics / capabilities / evolutionary firm theory dominates → Industrial and Corporate Change.
  • A managerial how-to or NPD-process study → Technovation / JPIM.
  • A pure causal estimate with thin innovation theory → a field economics journal.

Checklist

  • Expectations set to RP's double-blind, handling-editor process (not a generic top-journal model)
  • The desk-reject risk (scope vs. contribution) is correctly diagnosed
  • Article-type choice (full vs. Research Note) is revisited against the contribution's size
  • Referee points are triaged into must-fix / framing / discretionary before drafting
  • A sibling-venue decision, if any, is made on substance, not just impact factor
  • Timeline/odds claims are marked 待核实, not asserted as fixed

Anti-patterns

  • Treating an out-of-scope desk reject as a quality problem and resubmitting unchanged elsewhere
  • Assuming RP timelines/acceptance rates from memory instead of verifying
  • Padding a Note-sized contribution into a thin full article (or vice versa)
  • Planning the rebuttal before triaging which referee points are binding
  • Shopping the paper to a sibling without fixing the underlying framing

Output format

text
【Journal】Research Policy
【Skill】respol-review-process
【Stage】pre-submission / desk-reject / major / minor / planning-transfer
【Decision read】scope vs. contribution vs. fixable execution
【Article type revisit】full vs. Research Note
【Referee triage】must-fix / framing / discretionary
【Sibling option】RP-fixable or genuinely SMJ/ICC/Technovation/JPIM?
【Source status】timelines/odds verified or 待核实
【Next skill】respol-rebuttal

© 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 Research-Policy-Skills/skills/respol-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Respol 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.

Respol Review Process compared with similar skills
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Respol Review Process this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
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Policy Acknowledgementsickn33/agentic-awesome-skills47k1 repos~3.4kAutomated safety check: PassMIT
Privacy Policythedaviddias/Front-End-Checklist74k—~617Automated safety check: PassMIT
Editorial Policythedaviddias/Front-End-Checklist74k—~763Automated safety check: PassMIT
Policy Draftinganthropics/claude-for-legal9.6k2 repos~1.4kAutomated safety check: PassApache-2.0

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Questions about Respol Review Process

What does Respol Review Process do?

A skill your agent uses when calibrating expectations and choreography for the Research Policy (RP) review cycle — the double-blind process, the out-of-scope desk screen, handling-editor routing…. Respol Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when calibrating expectations and choreography for the Research Policy (RP) review cycle — the double-blind process, the out-of-scope desk screen, handling-editor routing, the Research Note option, and what RP referees reward versus reject.

When should I use Respol Review Process?

Respol Review Process fits situations like: calibrating expectations and choreography for the Research Policy (RP) review cycle — the double-blind process; the out-of-scope desk screen; handling-editor routing; the Research Note option.

How do I install Respol Review Process in Claude Code?

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

How do I install Respol Review Process in Codex?

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

Can I use Respol 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 respol-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/respol-review-process, .gemini/skills/respol-review-process, .github/skills/respol-review-process and .opencode/skills/respol-review-process in your project.

What does Respol Review Process need to run?

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

Does Respol 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 Respol 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 Respol Review Process use?

Respol 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 Respol Review Process use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Respol Review Process?

Skills that share tags, products or a category with Respol Review Process: Implementing Policy As Code With Open Policy Agent (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Policy Acknowledgement (sickn33/agentic-awesome-skills, 47k stars), Privacy Policy (thedaviddias/Front-End-Checklist, 74k stars) and Editorial Policy (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Respol 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.