Research Workflow Automation
wentorai/research-plugins
Automate repetitive research tasks with pipelines, schedulers, and scripting
A skill your agent uses when strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware, storage devices, software versions, datasets and workload generators…
Install Icde Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icde-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icde-reproducibility --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/ICDE-Skills/skills/icde-reproducibility .claude/skills/icde-reproducibility && 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 "icde-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDE-Skills/skills/icde-reproducibility into .claude/skills/icde-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icde-reproducibility", 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/ICDE-Skills/skills/icde-reproducibilityType 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 icde-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icde-reproducibility --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/ICDE-Skills/skills/icde-reproducibility .agents/skills/icde-reproducibility && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "icde-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDE-Skills/skills/icde-reproducibility into .agents/skills/icde-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icde-reproducibility", 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 icde-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icde-reproducibility --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/ICDE-Skills/skills/icde-reproducibility .cursor/skills/icde-reproducibility && 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 "icde-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDE-Skills/skills/icde-reproducibility into .cursor/skills/icde-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icde-reproducibility", 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 ICDE-Skills/skills/icde-reproducibility--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 icde-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icde-reproducibility --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/ICDE-Skills/skills/icde-reproducibility .gemini/skills/icde-reproducibility && 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 "icde-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDE-Skills/skills/icde-reproducibility into .gemini/skills/icde-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icde-reproducibility", 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 icde-reproducibilityInstalls 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 icde-reproducibility -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/ICDE-Skills/skills/icde-reproducibility .github/skills/icde-reproducibility && 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 "icde-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDE-Skills/skills/icde-reproducibility into .github/skills/icde-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icde-reproducibility", 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 icde-reproducibility -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 icde-reproducibility --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/ICDE-Skills/skills/icde-reproducibility .opencode/skills/icde-reproducibility && 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 "icde-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDE-Skills/skills/icde-reproducibility into .opencode/skills/icde-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icde-reproducibility", 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
icde-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1k tokens
- SKILL.md length
- 465 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware, storage devices, software versions, datasets and workload generators…
- Strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware
- SKILL.md covers Evidence map, Systems-reproducibility audit…, Degrees of reproducibility and Vignette: a…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Storage devices
What it does
Icde Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware, storage devices, software versions, datasets and workload generators, seeds, and variance protocol; ensuring baseline-tuning fairness; tracing figures to raw logs; and packaging supplemental material whose availability ICDE scores.
Its SKILL.md is about 1k 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 and Data pipelines and ETL. 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
- Strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware
- Storage devices
- Software versions
- Datasets and workload generators
Example prompts
- “/icde-reproducibility”
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
Icde Reproducibility loads about 1k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 465 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). 465 words, ~1,027 tokens.
Download SKILL.mdSave it as
.claude/skills/icde-reproducibility/SKILL.md (or your agent's skills folder).- name
- icde-reproducibility
- description
- Use when strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware, storage devices, software versions, datasets and workload generators, seeds, and variance protocol; ensuring baseline-tuning fairness; tracing figures to raw logs; and packaging supplemental material whose availability ICDE scores.
ICDE Reproducibility
Use this before submission and again before camera-ready. ICDE authors are expected to submit supplemental material, and its availability is weighed in the evaluation — so reproducibility is not optional polish, it is scored evidence.
Evidence map
- Map each performance claim to a verifiable location: a figure regenerated from logged runs, a workload script, or a documented measurement in the supplement.
- Pin the environment: CPU, memory, storage device (the NVMe/SSD/HDD distinction changes results), OS and kernel, database/library versions, compiler flags, and any cluster topology.
- Pin the data: dataset provenance, construction steps, scale factors, and for synthetic data the generator with its seeds — a workload nobody can regenerate is not reproducible.
- Pin the variance protocol: how many runs, warm-up handling, how outliers are treated, and whether reported bars are standard deviations, confidence intervals, or percentiles.
- Document baseline tuning: the configuration and tuning budget given to each competitor. Reproducibility here means a reader can re-run the fair comparison, not just your system.
- Trace figures to raw data: emit tables and plots from logged results so the PDF numbers and the supplement cannot drift apart.
Systems-reproducibility audit table
| Dimension | Weak answer | ICDE-ready answer |
|---|---|---|
| Hardware | "a modern server" | Exact CPU, RAM, storage device model, and topology |
| Data | "a large dataset" | Named dataset or a seeded generator with scale factors |
| Variance | one median number | N runs with declared spread and warm-up policy |
| Baselines | "we compared to X" | X's config and tuning budget, re-runnable |
| Figures | hand-entered numbers | Plots emitted from logged runs by a script |
Show full SKILL.md (215 more words)Show less
Degrees of reproducibility
- Turnkey:
run_all.shregenerates every figure from logged seeds on a documented machine;run_small.shgives a fast subset for a reviewer with limited hardware. - Scripted: scripts exist but need documented manual steps or restricted-data access.
- Descriptive: prose detailed enough that a competent engineer could rebuild the pipeline.
For ICDE, aim for turnkey on the synthetic experiments — a reviewer will re-run a generator far sooner than they will provision a cluster — and scripted for large real-data or proprietary-hardware runs, with deviations documented. State the level you actually achieved; overpromising turnkey behavior that fails on a clean machine is worse than an honest "scripted."
Vignette: a throughput-plus-latency paper
A submission claims higher ingestion at bounded read-latency cost. Its reproducibility spine:
the storage device and queue-depth settings, the workload generator with append-to-scan
parameters and seeds, the run count and percentile policy for the latency tails, the baseline
LSM's compaction configuration, and a run_small.sh that reproduces the headline crossover on
a single machine in minutes — plus one honest sentence on any result that needs the full
cluster.
Single-blind note
- ICDE supplemental material need not be anonymized — names may stay on the repository and in commit history. Spend the saved effort on making the package actually run, not on scrubbing identity a double-blind venue would demand.
Output format
[Claim inventory] <claim -> evidence location>
[Environment pinned] complete / partial / missing <what>
[Variance protocol] <runs / spread type / warm-up>
[Baseline fairness] <tuning budgets documented? y/n>
[Reproduction level] turnkey / scripted / descriptive
[Fixes before submission] <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 ICDE-Skills/skills/icde-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Icde Reproducibility 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 |
|---|---|---|---|---|---|---|
| Icde Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1k | Automated safety check: Pass | MIT | |
| Research Workflow Automationwentorai/research-plugins | 298 | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Experiment AgentImbad0202/experiment-agent | 199 | — | ~3.1k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| 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 |
Similar skills
Experiment Agent
Imbad0202/experiment-agent
Experiment executor and monitor for academic research. An agent skill from Imbad0202/experiment-agent.
Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
CHARLS Paper Reproduction Guide
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
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.
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Categories
Questions about Icde Reproducibility
What does Icde Reproducibility do?
A skill your agent uses when strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware, storage devices, software versions, datasets and workload generators…. Icde Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware, storage devices, software versions, datasets and workload generators, seeds, and variance protocol; ensuring baseline-tuning fairness; tracing figures to raw logs; and packaging supplemental material whose availability ICDE scores.
When should I use Icde Reproducibility?
Icde Reproducibility fits situations like: strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware; storage devices; software versions; datasets and workload generators.
How do I install Icde Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icde-reproducibility -a claude-code`. Or copy the skill folder (ICDE-Skills/skills/icde-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icde-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Icde Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icde-reproducibility -a codex`. Or copy the skill folder (ICDE-Skills/skills/icde-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icde-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Icde Reproducibility 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 icde-reproducibility -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/icde-reproducibility, .gemini/skills/icde-reproducibility, .github/skills/icde-reproducibility and .opencode/skills/icde-reproducibility in your project.
What does Icde Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Icde Reproducibility is instructions for the agent only.
Does Icde Reproducibility 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 Icde Reproducibility 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 Icde Reproducibility use?
Icde Reproducibility 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 Icde Reproducibility use?
About 1k tokens (SKILL.md is roughly 4.1k 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 Icde Reproducibility?
Skills that share tags, products or a category with Icde Reproducibility: Research Workflow Automation (wentorai/research-plugins, 298 stars), Experiment Agent (Imbad0202/experiment-agent, 199 stars), Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars) and CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Icde Reproducibility?
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.