HypoGeniC Hypothesis Generation
K-Dense-AI/scientific-agent-skills
Plans and audits runs of the HypoGeniC and HypoRefine packages, which propose hypotheses from labeled text datasets, with local checks before any model call.
A skill your agent uses when running the Responsible NLP checklist as a claims audit for an EACL paper, covering hyperparameter and compute disclosure, verbatim prompt and decoding reporting…
Install Eacl Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eacl-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eacl-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/EACL-Skills/skills/eacl-reproducibility .claude/skills/eacl-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 "eacl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EACL-Skills/skills/eacl-reproducibility into .claude/skills/eacl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eacl-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/EACL-Skills/skills/eacl-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 eacl-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eacl-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/EACL-Skills/skills/eacl-reproducibility .agents/skills/eacl-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 "eacl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EACL-Skills/skills/eacl-reproducibility into .agents/skills/eacl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eacl-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 eacl-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eacl-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/EACL-Skills/skills/eacl-reproducibility .cursor/skills/eacl-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 "eacl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EACL-Skills/skills/eacl-reproducibility into .cursor/skills/eacl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eacl-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 EACL-Skills/skills/eacl-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 eacl-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eacl-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/EACL-Skills/skills/eacl-reproducibility .gemini/skills/eacl-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 "eacl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EACL-Skills/skills/eacl-reproducibility into .gemini/skills/eacl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eacl-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 eacl-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 eacl-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/EACL-Skills/skills/eacl-reproducibility .github/skills/eacl-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 "eacl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EACL-Skills/skills/eacl-reproducibility into .github/skills/eacl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eacl-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 eacl-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 eacl-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/EACL-Skills/skills/eacl-reproducibility .opencode/skills/eacl-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 "eacl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EACL-Skills/skills/eacl-reproducibility into .opencode/skills/eacl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eacl-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
eacl-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~917 tokens
- SKILL.md length
- 291 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when running the Responsible NLP checklist as a claims audit for an EACL paper, covering hyperparameter and compute disclosure, verbatim prompt and decoding reporting…
- Running the Responsible NLP checklist as a claims audit for an EACL paper
- SKILL.md covers Treat the checklist as a…, Contamination stance (LLM era), Variance and significance floor and Multilingual coverage honesty, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering hyperparameter and compute disclosure
What it does
Eacl Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the Responsible NLP checklist as a claims audit for an EACL paper, covering hyperparameter and compute disclosure, verbatim prompt and decoding reporting, data-contamination stance, variance and significance reporting, multilingual coverage claims, and consistency between the checklist answers and what the paper actually contains.
Its SKILL.md is about 920 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 Natural language processing. 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
- Running the Responsible NLP checklist as a claims audit for an EACL paper
- Covering hyperparameter and compute disclosure
- Verbatim prompt and decoding reporting
- Data-contamination stance
Example prompts
- “/eacl-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
Eacl Reproducibility loads about 917 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 291 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). 291 words, ~917 tokens.
Download SKILL.mdSave it as
.claude/skills/eacl-reproducibility/SKILL.md (or your agent's skills folder).- name
- eacl-reproducibility
- description
- Use when running the Responsible NLP checklist as a claims audit for an EACL paper, covering hyperparameter and compute disclosure, verbatim prompt and decoding reporting, data-contamination stance, variance and significance reporting, multilingual coverage claims, and consistency between the checklist answers and what the paper actually contains.
EACL Reproducibility
Use this to audit an EACL paper against the Responsible NLP checklist, which ARR files at
submission and which the action editor and reviewers read alongside the PDF. The checklist is
not paperwork: misleading answers are desk-rejection grounds, and inconsistencies between
the checklist and the paper are what careful EACL reviewers hunt for. Reopen the current
checklist at aclrollingreview.org/responsibleNLPresearch before auditing.
Treat the checklist as a claims audit
Every "yes" in the checklist implies a location in the paper. Walk the paper claim by claim and confirm each is backed:
| Claim type | Must disclose | Common EACL failure |
|---|---|---|
| Model results | Hyperparameters, tuning, model size | "Default settings" with no numbers |
| Compute | Hardware, run time, total budget | Silent on cost of large runs |
| LLM prompts | Verbatim prompts + decoding params | Paraphrased or omitted prompts |
| Data | Source, license, splits, preprocessing | Undocumented or "on request" data |
| Metrics | Variance over seeds / significance test | Single-run deltas reported as wins |
| Multilingual | Languages, resource levels, per-language results | Aggregate hides where it fails |
Contamination stance (LLM era)
- State explicitly whether evaluation data could have leaked into training — for closed LLMs
this is often unknowable, and the honest move is to say so and bound the risk rather than
claim clean evaluation. The "Leak, Cheat, Repeat" exemplar in
../../resources/exemplars/library.mdis the reference discipline. - Where feasible, run an overlap or decontamination check and report it.
Variance and significance floor
Reporting rule of thumb:
- >= 3-5 seeds for any headline comparison
- report mean +/- CI or std, not a single run
- a significance test when two systems are "close"
- never claim a win on an unreplicated single-run deltaMultilingual coverage honesty
- If the paper claims a cross-lingual or multilingual result, the checklist audit must confirm the languages are named, the resource levels are stated, and per-language results exist somewhere — an aggregate average is not evidence for every language.
- For lower-resourced languages, confirm dataset provenance and annotation context are documented; this is a recurring EACL reviewer expectation.
Checklist-to-paper consistency sweep
[ ] Every checklist "yes" maps to a section/appendix number
[ ] Hyperparameters + search space stated
[ ] Compute budget stated for expensive runs
[ ] Prompts + decoding params verbatim (if LLMs used)
[ ] Data source, license, splits, preprocessing documented
[ ] Variance/significance reported for headline claims
[ ] Contamination risk addressed honestly
[ ] Per-language results present for multilingual claims
[ ] AI-assistance use disclosed truthfullyOutput format
[Reproducibility risk] Low / Medium / High
[Checklist-paper mismatches] <specific "yes" answers not backed in text>
[Disclosure gaps] <hyperparameters/compute/prompts/data>
[Evidence floor] <seeds/variance/significance findings>
[Contamination] <stance + any check run>
[Fix order] <what to add before the cycle deadline>© 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 EACL-Skills/skills/eacl-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Eacl 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 |
|---|---|---|---|---|---|---|
| Eacl Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~917 | Automated safety check: Pass | MIT | |
| HypoGeniC Hypothesis GenerationK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Ablation Study Plannerwanshuiyin/Auto-claude-code-research-in-sleep | 17k | — | ~1.3k | Automated safety check: Notes | MIT | |
| Radiology Annotationhuang-sir1/radiology-skills | 1.9k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Scholar Openjoshzyj/open-scholar-skill | 168 | — | ~14k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT |
Similar skills
Ablation Study Planner
wanshuiyin/Auto-claude-code-research-in-sleep
Plans the ablation studies a paper needs after main results support its claim: Codex designs them like a reviewer, Claude Code checks feasibility and runs them.
Radiology Annotation
huang-sir1/radiology-skills
Design/audit imaging truth, readers, ROI geometry, reproducibility and label noise; not model training.
Scholar Open
joshzyj/open-scholar-skill
Implement open science practices for a social science study.
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.
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Categories
Questions about Eacl Reproducibility
What does Eacl Reproducibility do?
A skill your agent uses when running the Responsible NLP checklist as a claims audit for an EACL paper, covering hyperparameter and compute disclosure, verbatim prompt and decoding reporting…. Eacl Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the Responsible NLP checklist as a claims audit for an EACL paper, covering hyperparameter and compute disclosure, verbatim prompt and decoding reporting, data-contamination stance, variance and significance reporting, multilingual coverage claims, and consistency between the checklist answers and what the paper actually contains.
When should I use Eacl Reproducibility?
Eacl Reproducibility fits situations like: running the Responsible NLP checklist as a claims audit for an EACL paper; covering hyperparameter and compute disclosure; verbatim prompt and decoding reporting; data-contamination stance.
How do I install Eacl Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eacl-reproducibility -a claude-code`. Or copy the skill folder (EACL-Skills/skills/eacl-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/eacl-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Eacl Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eacl-reproducibility -a codex`. Or copy the skill folder (EACL-Skills/skills/eacl-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/eacl-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Eacl 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 eacl-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/eacl-reproducibility, .gemini/skills/eacl-reproducibility, .github/skills/eacl-reproducibility and .opencode/skills/eacl-reproducibility in your project.
What does Eacl Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Eacl Reproducibility is instructions for the agent only.
Does Eacl 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 Eacl 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 Eacl Reproducibility use?
Eacl 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 Eacl Reproducibility use?
About 917 tokens (SKILL.md is roughly 3.7k 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 Eacl Reproducibility?
Skills that share tags, products or a category with Eacl Reproducibility: HypoGeniC Hypothesis Generation (K-Dense-AI/scientific-agent-skills, 48k stars), Ablation Study Planner (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars), Radiology Annotation (huang-sir1/radiology-skills, 1.9k stars) and Scholar Open (joshzyj/open-scholar-skill, 168 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Eacl 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.