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vercel/next.js
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A skill your agent uses when reasoning about how an ICSE research-track submission is evaluated, covering double-anonymous PC review, the four posted criteria, the Accept / Major Revision / Reject…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icse-review-process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icse-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/ICSE-Skills/skills/icse-review-process .claude/skills/icse-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 "icse-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICSE-Skills/skills/icse-review-process into .claude/skills/icse-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icse-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/ICSE-Skills/skills/icse-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 icse-review-process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icse-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/ICSE-Skills/skills/icse-review-process .agents/skills/icse-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 "icse-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICSE-Skills/skills/icse-review-process into .agents/skills/icse-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icse-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 icse-review-process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icse-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/ICSE-Skills/skills/icse-review-process .cursor/skills/icse-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 "icse-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICSE-Skills/skills/icse-review-process into .cursor/skills/icse-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icse-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 ICSE-Skills/skills/icse-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 icse-review-process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icse-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/ICSE-Skills/skills/icse-review-process .gemini/skills/icse-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 "icse-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICSE-Skills/skills/icse-review-process into .gemini/skills/icse-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icse-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 icse-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 icse-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/ICSE-Skills/skills/icse-review-process .github/skills/icse-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 "icse-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICSE-Skills/skills/icse-review-process into .github/skills/icse-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icse-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 icse-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 icse-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/ICSE-Skills/skills/icse-review-process .opencode/skills/icse-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 "icse-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICSE-Skills/skills/icse-review-process into .opencode/skills/icse-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icse-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.
icse-review-processA skill your agent uses when reasoning about how an ICSE research-track submission is evaluated, covering double-anonymous PC review, the four posted criteria, the Accept / Major Revision / Reject…
Icse Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how an ICSE research-track submission is evaluated, covering double-anonymous PC review, the four posted criteria, the Accept / Major Revision / Reject decision model, the revision-and-final-decision timeline, and what recent ICSE acceptance statistics imply for strategy.
Its SKILL.md is about 1.5k 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 Data & Analytics, covering Statistics. 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.
Icse Review Process loads about 1.5k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 751 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). 751 words, ~1,535 tokens.
.claude/skills/icse-review-process/SKILL.md (or your agent's skills folder).Model the pipeline before you interpret any single review. ICSE's process differs from most CS conferences in one structural way: Major Revision is a real decision category, not a euphemism for rejection, and a large share of accepted papers arrive through it.
The ICSE 2027 call (read 2026-07-08) evaluates each paper on:
Read every review comment as an instance of one of these. "The benchmark seems small" is a Rigor objection; "practitioners would not use this" is Relevance; "the prompt templates are not shown" is Verifiability. Diagnosing the criterion tells you whether the cure is new evidence, new framing, or new packaging.
| Stage (2027 cycle) | Date | What happens |
|---|---|---|
| Submission closes | Jun 30, 2026 AoE | PC bidding and assignment follow |
| Author response | Sep 2026 | Authors see reviews and reply (format 待核实) |
| First decisions | Oct 20, 2026 | Accept / Major Revision / Reject |
| Revision due | Nov 17, 2026 | Revised paper + response for MR papers |
| Final MR decisions | Dec 18, 2026 | Accept or Reject, no second revision |
| Conference | Apr 25 – May 1, 2027 | Dublin; core days Apr 28–30 |
Two consequences. First, a Major Revision gives you roughly four weeks to execute — reviewers expect the revision plan to be feasible in that window, so promising a new user study is self-defeating. Second, the December decision is terminal for the cycle: there is no minor-revision escape hatch after it.
ICSE 2026 (the last two-cycle year) reported, per its research-track pages: Cycle 1 — 660 submissions, 60 direct accepts, 101 accepted after Major Revision; Cycle 2 — 809 submissions, 72 direct accepts, 88 accepted after Major Revision; 321 of 1,469 total (~22%). The strategic reading: direct acceptance is rare (~9%) — the modal successful path runs through Major Revision. Write the initial submission so that its weaknesses are revisable (missing analysis, unclear framing) rather than structural (wrong population, no baseline), because the process is built to reward repairable papers.
Reviews come from a large research-track Program Committee working double-anonymously; ICSE also runs a Shadow PC in some years (2027 posts one) where early-career researchers review in parallel for training — their reviews do not decide outcomes but signal how a non-expert reads your paper. Expect three reviews with SE-empiricist instincts: they will look for the threats-to- validity section, check whether claims outrun evidence, and often open the replication package.
[Before submission] topic tags -> reviewer pool (largest lever)
[Author response] factual corrections, criterion-targeted evidence
[Major Revision] the strongest lever in the system: a tracked-change
revision + response letter reviewed by the same PC members
[After final reject] no appeal lane; reroute (FSE/ASE/ISSTA or journals)Author response moves borderline papers when it corrects a factual misreading or supplies a number a reviewer said was missing. It does not move papers when it argues taste. Major Revision moves papers when every requested change is either made or explicitly declined with a reason — silent omissions are what turn December into a rejection.
Weight reviews before answering them. Look for: specificity — a review citing your section numbers and exact tables was read closely and will be read closely again in December; criterion coverage — a review that only discusses novelty has left rigor and verifiability to the others, so answer those reviewers on those axes; the question list — reviewers often end with explicit questions, and the September response is scored heavily on whether each got a direct answer. A short, vague, positive review is worth less protection than a long, critical, specific one: the latter's author is your likely advocate if the response holds up.
[Process stage] pre-submission / awaiting reviews / response / major revision / final
[Criterion map] each review point -> novelty | rigor | relevance | verifiability
[Decision forecast] direct accept / MR-likely / reject-risk, with reasons
[Leverage plan] what to do at the next stage that can actually change the outcome© 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 ICSE-Skills/skills/icse-review-process of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Icse 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 |
|---|---|---|---|---|---|---|
| Icse Review Process this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Sandbox Benchvercel/next.js | 143k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.9k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT |
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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
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Categories
A skill your agent uses when reasoning about how an ICSE research-track submission is evaluated, covering double-anonymous PC review, the four posted criteria, the Accept / Major Revision / Reject…. Icse Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how an ICSE research-track submission is evaluated, covering double-anonymous PC review, the four posted criteria, the Accept / Major Revision / Reject decision model, the revision-and-final-decision timeline, and what recent ICSE acceptance statistics imply for strategy.
Icse Review Process fits situations like: reasoning about how an ICSE research-track submission is evaluated; covering double-anonymous PC review; the four posted criteria; the Accept / Major Revision / Reject decision model.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icse-review-process -a claude-code`. Or copy the skill folder (ICSE-Skills/skills/icse-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icse-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 icse-review-process -a codex`. Or copy the skill folder (ICSE-Skills/skills/icse-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icse-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 icse-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/icse-review-process, .gemini/skills/icse-review-process, .github/skills/icse-review-process and .opencode/skills/icse-review-process in your project.
SKILL.md names no scripts, command-line tools or credentials: Icse 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.
Icse 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 1.5k tokens (SKILL.md is roughly 6.1k 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 Icse Review Process: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.9k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k 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.