Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
A skill your agent uses to understand how an American Educational Research Journal (AERJ) manuscript will be judged — masked/double-anonymous peer review, desk screening, integrated-journal fit, and…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-review-process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aerj-review-process --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/American-Educational-Research-Journal-Skills/skills/aerj-review-process .claude/skills/aerj-review-process && 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 "aerj-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-review-process into .claude/skills/aerj-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-review-process", 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/American-Educational-Research-Journal-Skills/skills/aerj-review-processType 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 aerj-review-process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aerj-review-process --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/American-Educational-Research-Journal-Skills/skills/aerj-review-process .agents/skills/aerj-review-process && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aerj-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-review-process into .agents/skills/aerj-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-review-process", 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 aerj-review-process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aerj-review-process --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/American-Educational-Research-Journal-Skills/skills/aerj-review-process .cursor/skills/aerj-review-process && 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 "aerj-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-review-process into .cursor/skills/aerj-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-review-process", 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 American-Educational-Research-Journal-Skills/skills/aerj-review-process--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 aerj-review-process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aerj-review-process --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/American-Educational-Research-Journal-Skills/skills/aerj-review-process .gemini/skills/aerj-review-process && 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 "aerj-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-review-process into .gemini/skills/aerj-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-review-process", 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 aerj-review-processInstalls 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 aerj-review-process -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/American-Educational-Research-Journal-Skills/skills/aerj-review-process .github/skills/aerj-review-process && 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 "aerj-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-review-process into .github/skills/aerj-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-review-process", 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 aerj-review-process -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 aerj-review-process --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/American-Educational-Research-Journal-Skills/skills/aerj-review-process .opencode/skills/aerj-review-process && 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 "aerj-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/American-Educational-Research-Journal-Skills/skills/aerj-review-process into .opencode/skills/aerj-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aerj-review-process", 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.
aerj-review-processA skill your agent uses to understand how an American Educational Research Journal (AERJ) manuscript will be judged — masked/double-anonymous peer review, desk screening, integrated-journal fit, and…
Aerj Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use to understand how an American Educational Research Journal (AERJ) manuscript will be judged — masked/double-anonymous peer review, desk screening, integrated-journal fit, and decision categories. Sets expectations and informs strategy; it does not contact editors or reviewers.
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.
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.
4 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.
Aerj Review Process loads about 1.3k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 561 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). 561 words, ~1,309 tokens.
.claude/skills/aerj-review-process/SKILL.md (or your agent's skills folder).Knowing how AERJ evaluates a paper shapes how you write and submit it. AERJ uses masked / double-anonymous review, screens for fit before sending out for review, and expects a contribution that reaches the integrated field-wide AERJ audience. Verify volatile specifics (timelines, reviewer counts, desk-reject rate) on the official page — they are not published as fixed numbers.
AERJ's integrated structure means your paper is judged for field-wide education-research significance, not by method alone. This map shows the gates and what each one tests.
| Gate | Who decides | What it tests | Failure outcome |
|---|---|---|---|
| Fit framing | Editorial office | Dominant education lens + field-wide significance | Weak fit slows or weakens review |
| Editorial screen | Handling editor | Broad significance, framing, soundness, scope | Desk reject (no external review) |
| Masked external review | Multiple masked reviewers | Significance, framework, design, analysis, contribution | Reject or R&R |
| Decision | Editor adjudicates | Convergence of reviewer judgments | Reject / R&R / accept-after-revision |
A paper on motivation in online learning draws a desk-screen concern: the significance reads as one-platform-specific. The authors had front-loaded a broad self-regulation framing, so the editor sends it out. Two masked reviewers split — one praises the multilevel analysis, one wants the qualitative interview strand integrated. The editor's letter makes the integration the decisive point. Reading that letter as the rubric (not weighting the two reviewers equally) is what turns the R&R into an acceptance. Desk-reject rates and reviewer counts are not published as fixed figures — confirm against the journal's current submission guidelines.
【AERJ fit】dominant lens + field-wide significance stated? [Y/N]
【Desk-screen risk】fit + significance + standards [low/med/high]
【Likely reviewer objections】top 2–3 to pre-empt
【Decision categories】reject / R&R / accept-after-revision
【Prep】what to strengthen before submitting
【Next】aerj-submission (or aerj-rebuttal on a decision)../../resources/official-source-map.md — masked review, integrated-journal history, and editorial team../../resources/external_tools.md — reporting-standards references reviewers apply© 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 American-Educational-Research-Journal-Skills/skills/aerj-review-process of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Aerj 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aerj Review Process this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Scholar Evaluationspacering-net/codeg | 3.9k | 11 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Academic Paper ReviewerImbad0202/academic-research-skills | 51k | — | ~11k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT |
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
spacering-net/codeg
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and…
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
Imbad0202/academic-research-skills
Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
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 to understand how an American Educational Research Journal (AERJ) manuscript will be judged — masked/double-anonymous peer review, desk screening, integrated-journal fit, and…. Aerj Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use to understand how an American Educational Research Journal (AERJ) manuscript will be judged — masked/double-anonymous peer review, desk screening, integrated-journal fit, and decision categories.
Aerj Review Process fits situations like: understand how an American Educational Research Journal (AERJ) manuscript will be judged — masked/double-anonymous peer review; integrated-journal fit; decision categories.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-review-process -a claude-code`. Or copy the skill folder (American-Educational-Research-Journal-Skills/skills/aerj-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aerj-review-process in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-review-process -a codex`. Or copy the skill folder (American-Educational-Research-Journal-Skills/skills/aerj-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aerj-review-process 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 aerj-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/aerj-review-process, .gemini/skills/aerj-review-process, .github/skills/aerj-review-process and .opencode/skills/aerj-review-process in your project.
SKILL.md names no scripts, command-line tools or credentials: Aerj Review Process 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.
Aerj 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.
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Aerj 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.
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.