A skill your agent uses when reasoning about how an EDBT research submission is evaluated, covering Microsoft CMT reviewing, the author-feedback phase, the accept / revise / reject decision, the…

MITAuto-check passed

Install Edbt Review Process

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills edbt-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/EDBT-Skills/skills/edbt-review-process .claude/skills/edbt-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
edbt-review-process
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
727 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 how an EDBT research submission is evaluated, covering Microsoft CMT reviewing, the author-feedback phase, the accept / revise / reject decision, the…

  • Reasoning about how an EDBT research submission is evaluated
  • SKILL.md covers Process model, Reading a decision against the…, How EDBT differs from its… and Who reads you, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering Microsoft CMT reviewing

What it does

Edbt Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how an EDBT research submission is evaluated, covering Microsoft CMT reviewing, the author-feedback phase, the accept / revise / reject decision, the in-cycle revise-and-resubmit second read by the original reviewers, the cycle-to-conference roll, and how EDBT's rolling model differs from SIGMOD/VLDB/ICDE and the co-located ICDT.

Its SKILL.md is about 1.6k 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

  • Reasoning about how an EDBT research submission is evaluated
  • Covering Microsoft CMT reviewing
  • The author-feedback phase
  • The accept / revise / reject decision

Example prompts

  • “/edbt-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

Edbt Review Process loads about 1.6k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 727 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 727 words, ~1,618 tokens.

Download SKILL.mdSave it as .claude/skills/edbt-review-process/SKILL.md (or your agent's skills folder).
name
edbt-review-process
description
Use when reasoning about how an EDBT research submission is evaluated, covering Microsoft CMT reviewing, the author-feedback phase, the accept / revise / reject decision, the in-cycle revise-and-resubmit second read by the original reviewers, the cycle-to-conference roll, and how EDBT's rolling model differs from SIGMOD/VLDB/ICDE and the co-located ICDT.

EDBT Review Process

Model the pipeline before interpreting any single review. EDBT's process is a multiple-cycle rolling model with a real in-cycle revise-and-resubmit: within one cycle, a paper is reviewed, gets an author-feedback exchange, receives accept / revise / reject, and — if revise — is revised and re-read by the same reviewers before a final accept/reject. The most consequential mental shift for authors arriving from a one-shot conference is that a revise is a genuine second chance inside the same cycle, not a soft rejection.

Process model

  • Reviewing runs in Microsoft CMT (Conference Management Toolkit). Confirm the blind policy for the cycle — single- vs double-blind is decided per edition (待核实; EDBT has historically used author-identified single-blind reviewing).
  • Each paper is read by multiple program-committee members who weigh the significance of the data-management contribution, technical soundness, the fairness and honesty of the evaluation (real workloads, tuned baselines, realistic scale), reproducibility, and clarity.
  • The cycle includes an author-feedback phase on the initial reviews, then a first notification of accept / revise / reject.
  • A revise becomes a revised submission plus a change letter, re-read — generally by the original reviewers — for a second notification of accept / reject within the cycle.
  • Accepted papers publish open access on OpenProceedings.org (CC-BY-NC-ND). Earlier-cycle acceptances present at that year's conference; last-cycle acceptances roll to the next edition.

Reading a decision against the categories

DecisionWhat it meansAuthor move
AcceptContribution and evaluation hold; minor polish onlyCamera-ready + artifact; do not reopen scope
ReviseRepairable gaps: a missing baseline, an unconvincing scale, an unclear mechanismTreat as an in-cycle R&R: make or explicitly decline every request, evidenced
RejectStructural: wrong problem framing, unfair or missing evaluation, thin contributionReframe or reroute (SIGMOD/VLDB/ICDE/ICDT or a journal); remember the 12-month EDBT ban

The strategic reading: write the initial submission so that whatever is weakest is fixable inside the in-cycle revision window (a baseline you can add, a scale you can extend, a mechanism you can clarify) rather than structural (an evaluation you cannot redo in the cycle). The process rewards repairable papers.

How EDBT differs from its siblings

  • vs. SIGMOD / ICDE: those publish in the paywalled ACM DL / IEEE Xplore and run their own cycle structures; EDBT's identity is the OpenProceedings open-access record and the three-cycle rolling cadence. Never assume a shared calendar or template.
  • vs. VLDB / PVLDB: PVLDB is a journal-style monthly pipeline with its own revision mechanics; EDBT's revise-and-resubmit is bounded inside a discrete cycle, not a rolling monthly journal.
  • vs. ICDT (the co-located sibling): ICDT reviews theory on its own call and PC; sharing a conference week and the OpenProceedings platform does not make them one process. An EDBT paper is judged by DB-systems reviewers, not theory reviewers.
Show full SKILL.md (281 more words)Show less

Who reads you

Expect several database-systems reviewers. They look for a real data-management problem, a mechanism described precisely enough to reimplement, an evaluation on real workloads at honest scale against tuned baselines, and a reproducible artifact. For an Experiments & Analysis paper the bar is higher on the measurement itself: methodology, coverage, and repeatability are the contribution.

Where author leverage actually exists

text
[Before submission]  subject-area tags + cycle choice -> reviewer pool + timing   (largest lever)
[Author feedback]    factual corrections, targeted clarifications, misread fixes
[Revise]             the strongest lever: a revised paper + point-by-point change letter,
                     re-read by the same reviewers inside the cycle
[After reject]       no appeal; reroute to a sibling venue or journal, and mind the 12-month ban

A response moves borderline papers when it corrects a factual misreading or supplies a measurement a reviewer said was missing; it does not move papers when it argues taste. In a revise, silent omissions — a requested change neither made nor explicitly declined with a reason — are what turn the second read into a rejection.

Reading a review packet

Weight reviews before answering. A review that cites your figures, tables, and configuration was read closely and will be read closely again in the revision — its author is your likely advocate if the changes hold. A review that discusses only novelty has left soundness and reproducibility to the others; answer each reviewer on the axis they raised. Reviewers often end with an explicit request list; the revision is scored heavily on whether each request got a direct, evidenced answer.

Misreadings to avoid

  • Treating a revise as a guaranteed accept — the in-cycle second read is real; budget the revision window like a deadline.
  • Treating the author-feedback phase as the whole game — it is short and decision-focused; the revision carries the real argument.
  • Assuming the last cycle presents this year — it rolls to the next edition.
  • Confusing EDBT and ICDT reviewing — separate calls, separate PCs, despite the joint week.
  • Projecting last year's cadence — cycle count and per-cycle timing are decided per edition.

Output format

text
[Process stage] pre-submission / author-feedback / revise / final / accepted
[Cycle] which cycle, presents at <edition/year>
[Decision category] accept / revise / reject, with the criterion driving it
[Criterion map] each review point -> significance | soundness | evaluation | reproducibility | clarity
[Leverage plan] the next-stage action that can actually change the outcome
[Forbidden moves] unsupported new claims / (if double-blind) identity leak

© 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 EDBT-Skills/skills/edbt-review-process of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Edbt Review Process

What does Edbt Review Process do?

A skill your agent uses when reasoning about how an EDBT research submission is evaluated, covering Microsoft CMT reviewing, the author-feedback phase, the accept / revise / reject decision, the…. Edbt Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how an EDBT research submission is evaluated, covering Microsoft CMT reviewing, the author-feedback phase, the accept / revise / reject decision, the in-cycle revise-and-resubmit second read by the original reviewers, the cycle-to-conference roll, and how EDBT's rolling model differs from SIGMOD/VLDB/ICDE and the co-located ICDT.

When should I use Edbt Review Process?

Edbt Review Process fits situations like: reasoning about how an EDBT research submission is evaluated; covering Microsoft CMT reviewing; the author-feedback phase; the accept / revise / reject decision.

How do I install Edbt Review Process in Claude Code?

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

How do I install Edbt Review Process in Codex?

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

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

What does Edbt Review Process need to run?

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

Does Edbt 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 Edbt 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 Edbt Review Process use?

Edbt 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 Edbt Review Process use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Edbt Review Process?

Skills that share tags, products or a category with Edbt Review Process: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Deepseek Reason (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Edbt 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.