Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Agent skill
Edbt Artifact Evaluation
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when preparing an EDBT database-systems artifact and reproducibility package, covering what evaluators check first for systems papers, a turnkey run path, pinned workloads…
Install Edbt Artifact Evaluation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill edbt-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills edbt-artifact-evaluation --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/EDBT-Skills/skills/edbt-artifact-evaluation .claude/skills/edbt-artifact-evaluation && 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 "edbt-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EDBT-Skills/skills/edbt-artifact-evaluation into .claude/skills/edbt-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edbt-artifact-evaluation", 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/EDBT-Skills/skills/edbt-artifact-evaluationType 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 edbt-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills edbt-artifact-evaluation --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/EDBT-Skills/skills/edbt-artifact-evaluation .agents/skills/edbt-artifact-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "edbt-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EDBT-Skills/skills/edbt-artifact-evaluation into .agents/skills/edbt-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edbt-artifact-evaluation", 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 edbt-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills edbt-artifact-evaluation --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/EDBT-Skills/skills/edbt-artifact-evaluation .cursor/skills/edbt-artifact-evaluation && 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 "edbt-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EDBT-Skills/skills/edbt-artifact-evaluation into .cursor/skills/edbt-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edbt-artifact-evaluation", 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 EDBT-Skills/skills/edbt-artifact-evaluation--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 edbt-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills edbt-artifact-evaluation --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/EDBT-Skills/skills/edbt-artifact-evaluation .gemini/skills/edbt-artifact-evaluation && 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 "edbt-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EDBT-Skills/skills/edbt-artifact-evaluation into .gemini/skills/edbt-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edbt-artifact-evaluation", 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 edbt-artifact-evaluationInstalls 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 edbt-artifact-evaluation -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/EDBT-Skills/skills/edbt-artifact-evaluation .github/skills/edbt-artifact-evaluation && 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 "edbt-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EDBT-Skills/skills/edbt-artifact-evaluation into .github/skills/edbt-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edbt-artifact-evaluation", 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 edbt-artifact-evaluation -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 edbt-artifact-evaluation --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/EDBT-Skills/skills/edbt-artifact-evaluation .opencode/skills/edbt-artifact-evaluation && 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 "edbt-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EDBT-Skills/skills/edbt-artifact-evaluation into .opencode/skills/edbt-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edbt-artifact-evaluation", 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.
Facts
- Skill name
edbt-artifact-evaluation- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 452 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when preparing an EDBT database-systems artifact and reproducibility package, covering what evaluators check first for systems papers, a turnkey run path, pinned workloads…
- Preparing an EDBT database-systems artifact and reproducibility package
- SKILL.md covers What evaluators open first…, Packaging plan, Review-time package vs.… and Worked vignette: packaging an…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering what evaluators check first for systems papers
What it does
Edbt Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an EDBT database-systems artifact and reproducibility package, covering what evaluators check first for systems papers, a turnkey run path, pinned workloads and environments, DOI-issuing archival for the open-access OpenProceedings record, and the higher stakes for Experiments & Analysis papers.
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 Reproducible research. 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
- Preparing an EDBT database-systems artifact and reproducibility package
- Covering what evaluators check first for systems papers
- A turnkey run path
- Pinned workloads and environments
Example prompts
- “/edbt-artifact-evaluation”
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 Artifact Evaluation loads about 1.3k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 452 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.
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). 452 words, ~1,261 tokens.
Download SKILL.mdSave it as
.claude/skills/edbt-artifact-evaluation/SKILL.md (or your agent's skills folder).- name
- edbt-artifact-evaluation
- description
- Use when preparing an EDBT database-systems artifact and reproducibility package, covering what evaluators check first for systems papers, a turnkey run path, pinned workloads and environments, DOI-issuing archival for the open-access OpenProceedings record, and the higher stakes for Experiments & Analysis papers.
EDBT Artifact Evaluation
Use this for the artifact and reproducibility package. EDBT's community values re-runnable database-systems work, and the published record is open access on OpenProceedings, so a clean, archived package strengthens the paper and its permanent citation. Two things to internalize: an artifact is judged by an evaluator actually running it, and the review-time package (possibly anonymized) is not the same deliverable as the permanent, DOI-archived package cited at camera-ready.
待核实: whether the current EDBT cycle runs a formal artifact-evaluation track, offers a reproducibility badge, and makes it optional or required is decided per edition — confirm on the current host-site call. The engineering below applies regardless of whether a badge is on offer.
What evaluators open first (database-systems flavor)
| Claim type | First thing inspected | Common failure caught |
|---|---|---|
| A system / operator | The build + one run command | Undocumented deps; only-builds-on-authors'-cluster |
| A scalability result | The harness that sweeps sizes/nodes | Numbers with no script; hard-coded to one cluster |
| An Experiments & Analysis study | The comparison harness that regenerates every table | Only the authors' system tuned; missing configs |
| A data/workload contribution | The derivation scripts + the derived data | Description shipped, data missing; provenance unpinned |
Assume an evaluator gives your package a bounded time budget on a machine that is not yours. Design for the first ten minutes — a clean build and a small demo run — to succeed.
Packaging plan
[Container] ship a Dockerfile or a pinned environment (build recipe / lockfile); avoid
"install these 40 things and configure the cluster by hand"
[README] one-screen orientation: what it is, how to build, how to run a demo, how to reproduce
each result, expected runtime and outputs, and what needs a big cluster
[Mapping] an explicit table: paper claim -> script -> expected result (table/figure)
[Workloads] the derived workload/query-log itself (or a documented access path), with pinned
dataset versions, not just a query
[Environment] the hardware/cluster spec assumed, and a reduced-scale path a reviewer can actually run
[License] an OSI-approved code license and clear data terms, compatible with the CC-BY-NC-ND record
[Archive] deposit in a DOI-issuing repository (Zenodo, figshare, Software Heritage) for the
permanent, citable recordReview-time package vs. permanent package
- At submission: if the cycle is double-blind (待核实 per cycle), the package must be anonymized — no owner strings, cluster names, lab paths, or identity-revealing links; if single-blind, still scrub stale paths and credentials.
- After acceptance: deposit the de-anonymized, licensed package in a DOI-issuing archive; this is the version the camera-ready cites and the permanent open-access record points to.
Show full SKILL.md (166 more words)Show less
Worked vignette: packaging an operator + evaluation
A paper contributes a query-processing operator and a cluster evaluation. To make it re-runnable:
ship a container with the engine and operator pre-built; a run_demo.sh that runs the operator on a
small bundled workload in under a minute; a reproduce/ directory whose scripts regenerate each
table from logged results and, where feasible, from a fresh reduced-scale run; a claim-to-script
mapping in the README; the derived workloads with pinned dataset versions; and an Apache/MIT license.
State honestly which results are turnkey at small scale and which need the full cluster.
Calibration
- The full-cluster experiments may not be turnkey on an evaluator's machine — provide a reduced-scale path and say clearly what it does and does not reproduce.
- For an Experiments & Analysis paper the artifact stakes are highest: the whole comparison should regenerate, with every system's configuration documented, because the study is the contribution.
- Confirm the current cycle's artifact/reproducibility process, any badge, and its anonymity rules on the host-site call (待核实).
Output format
[Package role] review-time (anonymized?) / permanent DOI-archived
[Contents] <system/build / workloads / harness / provenance / license>
[Ten-minute test] does build + demo succeed on a clean machine? yes/no
[Claim mapping] <claim -> script -> expected result present? yes/no>
[Scale honesty] <what is turnkey small-scale vs. needs a cluster>
[Archive] DOI-issuing repository + compatible license? yes/no
[Fixes before upload] <ordered list>© 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-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Edbt Artifact Evaluation 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 |
|---|---|---|---|---|---|---|
| Edbt Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
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xjtulyc/MedgeClaw
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Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
bactopia/bactopia
Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
Modeling Code and Result Contracts
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Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.
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Categories
Questions about Edbt Artifact Evaluation
What does Edbt Artifact Evaluation do?
A skill your agent uses when preparing an EDBT database-systems artifact and reproducibility package, covering what evaluators check first for systems papers, a turnkey run path, pinned workloads…. Edbt Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an EDBT database-systems artifact and reproducibility package, covering what evaluators check first for systems papers, a turnkey run path, pinned workloads and environments, DOI-issuing archival for the open-access OpenProceedings record, and the higher stakes for Experiments & Analysis papers.
When should I use Edbt Artifact Evaluation?
Edbt Artifact Evaluation fits situations like: preparing an EDBT database-systems artifact and reproducibility package; covering what evaluators check first for systems papers; A turnkey run path; pinned workloads and environments.
How do I install Edbt Artifact Evaluation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill edbt-artifact-evaluation -a claude-code`. Or copy the skill folder (EDBT-Skills/skills/edbt-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/edbt-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Edbt Artifact Evaluation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill edbt-artifact-evaluation -a codex`. Or copy the skill folder (EDBT-Skills/skills/edbt-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/edbt-artifact-evaluation in your project. Codex loads it when a task matches its description.
Can I use Edbt Artifact Evaluation 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-artifact-evaluation -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-artifact-evaluation, .gemini/skills/edbt-artifact-evaluation, .github/skills/edbt-artifact-evaluation and .opencode/skills/edbt-artifact-evaluation in your project.
What does Edbt Artifact Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Edbt Artifact Evaluation is instructions for the agent only.
Does Edbt Artifact Evaluation 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 Artifact Evaluation 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 Artifact Evaluation use?
Edbt Artifact Evaluation 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 Artifact Evaluation use?
About 1.3k tokens (SKILL.md is roughly 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 Artifact Evaluation?
Skills that share tags, products or a category with Edbt Artifact Evaluation: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Edbt Artifact Evaluation?
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.