A skill your agent uses when reasoning about IEEE S&P (Oakland) peer review, including the rounds inside each cycle, early-reject notices, the rebuttal for second-round papers, the…

MITAuto-check passedResearch & Science

Install Ieeesp Review Process

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

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

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

At a glance

A skill your agent uses when reasoning about IEEE S&P (Oakland) peer review, including the rounds inside each cycle, early-reject notices, the rebuttal for second-round papers, the…

  • Reasoning about IEEE S&P (Oakland) peer review
  • SKILL.md covers Rounds inside a cycle, The three-way decision, and…, The Research Ethics Committee… and Where author leverage lives, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Including the rounds inside each cycle

What it does

Ieeesp Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about IEEE S&P (Oakland) peer review, including the rounds inside each cycle, early-reject notices, the rebuttal for second-round papers, the Accept/Revise/Reject decision set, the Research Ethics Committee, shepherding of accepted papers, and the one-year resubmission embargo.

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.

When your agent uses it

  • Reasoning about IEEE S&P (Oakland) peer review
  • Including the rounds inside each cycle
  • Early-reject notices
  • The rebuttal for second-round papers

Example prompts

  • “/ieeesp-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

Ieeesp Review Process loads about 1.3k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 566 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
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). 566 words, ~1,301 tokens.

Download SKILL.mdSave it as .claude/skills/ieeesp-review-process/SKILL.md (or your agent's skills folder).
name
ieeesp-review-process
description
Use when reasoning about IEEE S&P (Oakland) peer review, including the rounds inside each cycle, early-reject notices, the rebuttal for second-round papers, the Accept/Revise/Reject decision set, the Research Ethics Committee, shepherding of accepted papers, and the one-year resubmission embargo.

IEEE S&P Review Process

Use this to model what happens to an S&P submission after upload and where author effort still moves the outcome. The structural constant across recent cycles is a round structure inside each cycle ending in a three-way decision; the dates below are the verified Cycle 2 timetable for S&P 2027 (sp2027.ieee-security.org/cfpapers.html, checked 2026-07-08).

Rounds inside a cycle

Stage2027 Cycle 2 dateWhat actually happens
Submission closesNov 17, 2026Record frozen; REC screening begins where flagged
First round—A subset of the PC reads; weakest papers cut
Early-reject noticeJan 18, 2027Cut papers exit without rebuttal
Reviews releasedFeb 11, 2027Surviving papers see full reviews
Rebuttal dueFeb 16, 2027~5 days; second-round papers only
DecisionMar 5, 2027Accept / Revise / Reject

The asymmetry to plan around: first-round papers never get to answer their reviewers. The introduction, threat model, and evaluation summary must survive a skeptical first read on their own — that is why ieeesp-writing-style front-loads the adversary and the evidence map.

The three-way decision, and why Revise is the signature

  • Accept comes with a draft meta-review listing remaining concerns and a shepherd who strikes each concern once the camera-ready resolves it — acceptance at S&P is conditional in substance even when not in name.
  • Revise invites a limited set of papers to submit a structured major revision against a written summary of expectations, re-reviewed (ideally by the same reviewers). It is the venue's mechanism for "the contribution is real, the evidence is not finished." Which later cycle a Revise resubmits into is cycle-specific — 待核实 on the live pages every time.
  • Reject starts the one-year embargo from the original submission date; a future submission with roughly ≥40% overlap counts as a resubmission.

Treat a Revise as the best non-accept outcome in security publishing: the expectations document is a contract. Deliver exactly what it lists, map each expectation to a change, and do not use the revision to add unrequested new material that reopens settled questions.

Show full SKILL.md (235 more words)Show less

The Research Ethics Committee is a separate track

S&P registers an Ethics Considerations entry for every paper at submission time, and papers raising concerns are routed to a Research Ethics Committee that can recommend rejection on ethical grounds regardless of technical merit. The named baseline is the Menlo Report. Reviewers also expect IRB approval/waiver status disclosed where human subjects or user data are involved, and harm-mitigation discussion whenever PII is touched. The REC evaluates what you did — disclosure sent, data minimized, approvals obtained — months before submission; nothing written during review can substitute for actions not taken.

Where author leverage lives

text
Leverage map (S&P cycle):
  Before registration   ████████ abstract routes reviewers; ethics record set
  First round           ─ none: paper speaks alone; no rebuttal if cut
  Rebuttal window       ████ high on misreadings, moderate on evidence gaps
                             (5 days: pre-draft the likely objections)
  Reviewer discussion   ─ only via the rebuttal already filed
  Revise window         ██████ a written contract you can fully satisfy
  Camera-ready          ███ shepherd negotiation over concrete concerns

Reading reviews from this PC

The S&P pool reads adversarially by profession. Expect objections shaped as: "the adaptive attacker breaks this defense," "the threat model assumes capabilities that make the attack uninteresting," "the measurement sample is biased toward <population>," "the ethics section does not say who approved this." Classify each review point by whether it disputes the claim, the evidence, or the ethics record — the three need different responses (ieeesp-author-response).

Process misfires

  • A review that misstates the paper's mechanism is rebuttal material: quote the submission with section numbers, without heat.
  • Ethics allegations are answered with documentation (dates, approval IDs, disclosure timelines), never with indignation.
  • Suspected reviewer misconduct goes privately to the PC chairs.
  • After a final Reject there is no appeal track; the embargo clock and a sibling venue are the real options.

Output format

text
[Stage] pre-submission / round 1 / rebuttal / decision wait / revise / shepherding
[Next transition] <date from current cycle pages> (待核实 if unverified)
[Survival read] early-reject risk: low / med / high (why)
[Objection forecast] claim: <..> · evidence: <..> · ethics: <..>
[If Revise] expectations doc summarized? resubmission cycle confirmed?

© 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 IEEE-SP-Skills/skills/ieeesp-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Ieeesp 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.

Ieeesp Review Process compared with similar skills
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Scholar Evaluationspacering-net/codeg3.9k11 repos~3.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
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 Ieeesp Review Process

What does Ieeesp Review Process do?

A skill your agent uses when reasoning about IEEE S&P (Oakland) peer review, including the rounds inside each cycle, early-reject notices, the rebuttal for second-round papers, the…. Ieeesp Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about IEEE S&P (Oakland) peer review, including the rounds inside each cycle, early-reject notices, the rebuttal for second-round papers, the Accept/Revise/Reject decision set, the Research Ethics Committee, shepherding of accepted papers, and the one-year resubmission embargo.

When should I use Ieeesp Review Process?

Ieeesp Review Process fits situations like: reasoning about IEEE S&P (Oakland) peer review; including the rounds inside each cycle; early-reject notices; the rebuttal for second-round papers.

How do I install Ieeesp Review Process in Claude Code?

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

How do I install Ieeesp Review Process in Codex?

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

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

What does Ieeesp Review Process need to run?

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

Does Ieeesp 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 Ieeesp 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 Ieeesp Review Process use?

Ieeesp 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 Ieeesp Review Process use?

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.

What are the alternatives to Ieeesp Review Process?

Skills that share tags, products or a category with Ieeesp 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 Ieeesp 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.