Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Agent skill
Lang Data And Transparency
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of…
Install Lang Data And Transparency
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-data-and-transparency -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-data-and-transparency --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/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency .claude/skills/lang-data-and-transparency && 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 "lang-data-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency into .claude/skills/lang-data-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-data-and-transparency", 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/Language-Linguistic-Society-Skills/skills/lang-data-and-transparencyType 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 lang-data-and-transparency -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-data-and-transparency --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/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency .agents/skills/lang-data-and-transparency && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lang-data-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency into .agents/skills/lang-data-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-data-and-transparency", 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 lang-data-and-transparency -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-data-and-transparency --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/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency .cursor/skills/lang-data-and-transparency && 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 "lang-data-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency into .cursor/skills/lang-data-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-data-and-transparency", 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 Language-Linguistic-Society-Skills/skills/lang-data-and-transparency--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 lang-data-and-transparency -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-data-and-transparency --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/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency .gemini/skills/lang-data-and-transparency && 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 "lang-data-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency into .gemini/skills/lang-data-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-data-and-transparency", 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 lang-data-and-transparencyInstalls 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 lang-data-and-transparency -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/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency .github/skills/lang-data-and-transparency && 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 "lang-data-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency into .github/skills/lang-data-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-data-and-transparency", 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 lang-data-and-transparency -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 lang-data-and-transparency --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/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency .opencode/skills/lang-data-and-transparency && 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 "lang-data-and-transparency" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-data-and-transparency into .opencode/skills/lang-data-and-transparency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-data-and-transparency", 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
lang-data-and-transparency- GitHub stars
- 1.2k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 824 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of…
- Preparing the data
- SKILL.md covers When to trigger, What "transparent" means at…, Ethics of linguistic data (do… and Calibration (do not over- or…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Reproducibility materials for a Language (LSA) manuscript — shared datasets and code
What it does
Lang Data And Transparency is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of working with language consultants and communities. Language values transparent, documented data; over-stating a mandated deposit is as wrong as hiding materials. Documents and shares; it does not run the analysis.
Its SKILL.md is about 1.8k 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 the data
- Reproducibility materials for a Language (LSA) manuscript — shared datasets and code
- Glossed corpora
- The ethics of working with language consultants and communities
Example prompts
- “/lang-data-and-transparency”
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
Lang Data And Transparency loads about 1.8k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 824 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). 824 words, ~1,751 tokens.
Download SKILL.mdSave it as
.claude/skills/lang-data-and-transparency/SKILL.md (or your agent's skills folder).- name
- lang-data-and-transparency
- description
- Use when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of working with language consultants and communities. Language values transparent, documented data; over-stating a mandated deposit is as wrong as hiding materials. Documents and shares; it does not run the analysis.
Data & Transparency (lang-data-and-transparency)
Language increasingly treats documented, checkable data and reproducible analysis as a mark of serious work: a reader should be able to see the pattern and, where quantitative, re-run the model. But the requirements differ by subfield and evolve, and linguistic data carry ethical obligations to consultants and communities that generic "open data" rhetoric ignores. This skill helps you document, share, and protect your materials appropriately — without over-stating a deposit mandate the journal may not impose.
When to trigger
- Assembling the data/code/annotation to accompany a submission
- Deciding what can and cannot be shared (consultant confidentiality, community agreements, licensed corpora)
- A reader asked for the dataset, the glossed corpus, the sound files, or the analysis script
- Writing a data-availability statement
What "transparent" means at Language (by data type)
Quantitative (experiment / corpus)
- Share the analysis-ready data and the script that reproduces the models, tables, and figures; pin package versions and set seeds. A repository (e.g., OSF) with a readme is the norm.
- If the raw corpus is licensed, share the derived counts + the extraction code so the pipeline is reproducible even when the source text cannot be redistributed.
Elicited / fieldwork
- Provide numbered, Leipzig-glossed examples with sources; where possible, archive recordings and annotations in a language archive (e.g., ELAR, PARADISEC, AILLA, TLA) under access terms the community agreed to.
- Document the elicitation and transcription workflow so another linguist could interpret the data.
Phonetic
- Share measurement scripts (e.g., Praat scripts) and, where consent allows, the sound files or acoustic measurements; state the alignment/measurement settings.
Ethics of linguistic data (do not skip)
- Consent and community agreements govern what may be archived and how; open sharing is not always ethical, and "restricted access" is a legitimate, respectful choice.
- Anonymize speakers where required; do not expose identities via metadata or audio.
- Credit consultants and communities per current best practice and any community protocol.
Calibration (do not over- or under-state, hedged)
Language rewards transparency as craft, but the pack does not assert a specific editor-verified replication mandate — verify the current data-availability policy on the CUP/LSA author pages before claiming any gate. The honest posture: share what you ethically can, document what you cannot, and never present restricted community data as if it were freely open. Illustrative: a variationist study shares the coded token file, the R script, and a codebook on OSF, but keeps the raw interview audio restricted under the community agreement and says so in the data statement — transparent and ethical at once.
Referee/editor conformance check
| Slip reviewers catch | The Language-appropriate fix |
|---|---|
| "Results not reproducible from what's shared." | post analysis data + script; pin versions, set seeds |
| "Glosses can't be checked." | numbered Leipzig-glossed examples with per-token sources |
| "Licensed corpus can't be shared." | share derived counts + extraction code + a pointer to the source |
| "Speaker identities exposed." | anonymize; restrict audio per consent |
| "Claims a deposit rule that isn't stated." | describe your sharing; verify the live policy, don't invent one |
Show full SKILL.md (342 more words)Show less
Execution bridge (StatsPAI / Stata MCP)
Transparency is a property of the path from data to number, and the cheapest way to keep
that path honest is not to have retyped anything along it. Full map:
execution-with-mcp.
- Run it, then cite it. A number that was computed by a tool call can be recomputed by
a reader with the same script; a number that was remembered cannot. If no server is
connected, adapt
../../resources/code/and say in the paper that you did. - Deposit what reproduces the table, not a spreadsheet of the finished table: script, seed, pinned package versions, and the derived dataset where the licence and the speakers' consent allow it.
- Where consent or endangerment limits deposit (see the ethics section above), archive the analysis code anyway — the code is not the speakers' data, and withholding it is the part reviewers most often read as evasion.
Anti-patterns
- Quantitative results with no shared data or script (reviewers cannot reproduce the model)
- Treating community/consultant data as "open" without consent or agreement
- Exposing speaker identities through metadata, audio, or examples
- Glossed data with no source, so a reader cannot verify the token
- Over-stating a journal replication mandate the live policy does not impose (verify first)
Transparency pass for Language
Treat this skill as an executable review pass, not a prose hint. First lock what evidence underlies each claim; then judge whether the manuscript answers the venue's real reader: linguists who value checkable evidence and who also respect the ethics of working with speakers and communities.
- Do the pass: for each claim, name where the supporting data and code live, the access terms, and any ethical constraint on sharing.
- Return a ledger: give
claim / evidence / where-it-lives / sharing-constraintrows so the next agent can act. - Sibling guard: documentation-heavy work may fit Language Documentation & Conservation; if a sibling owns the contribution, recommend re-routing before polishing.
- Stop condition: do not give submission-ready advice until
resources/official-source-map.mdhas been checked for the current data-availability policy.
Output format
【Data types】experiment / corpus / elicited / phonetic / archival
【Shared】analysis data + script posted (repo/OSF)? [Y/N/NA]
【Glossed examples】numbered, Leipzig, sourced? [Y/N]
【Ethics】consent / community agreement / anonymization handled? [Y/N]
【Data statement】accurate, no over-stated mandate? [Y/N]
【Next】lang-tables-figuresSupplementary resources
../../resources/external_tools.md— archives, OSF, glossing and reproducibility tooling../../resources/official-source-map.md— Language data-availability policy live-check
© 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 Language-Linguistic-Society-Skills/skills/lang-data-and-transparency of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Lang Data And Transparency 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 |
|---|---|---|---|---|---|---|
| Lang Data And Transparency this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.8k | 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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Figure Style
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Categories
Questions about Lang Data And Transparency
What does Lang Data And Transparency do?
A skill your agent uses when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of…. Lang Data And Transparency is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of working with language consultants and communities.
When should I use Lang Data And Transparency?
Lang Data And Transparency fits situations like: preparing the data; reproducibility materials for a Language (LSA) manuscript — shared datasets and code; glossed corpora; the ethics of working with language consultants and communities.
How do I install Lang Data And Transparency in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-data-and-transparency -a claude-code`. Or copy the skill folder (Language-Linguistic-Society-Skills/skills/lang-data-and-transparency in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/lang-data-and-transparency in your project. Claude Code loads it when a task matches its description.
How do I install Lang Data And Transparency in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-data-and-transparency -a codex`. Or copy the skill folder (Language-Linguistic-Society-Skills/skills/lang-data-and-transparency in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/lang-data-and-transparency in your project. Codex loads it when a task matches its description.
Can I use Lang Data And Transparency 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 lang-data-and-transparency -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lang-data-and-transparency, .gemini/skills/lang-data-and-transparency, .github/skills/lang-data-and-transparency and .opencode/skills/lang-data-and-transparency in your project.
What does Lang Data And Transparency need to run?
SKILL.md names no scripts, command-line tools or credentials: Lang Data And Transparency is instructions for the agent only.
Does Lang Data And Transparency 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 Lang Data And Transparency 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 Lang Data And Transparency use?
Lang Data And Transparency 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 Lang Data And Transparency use?
About 1.8k tokens (SKILL.md is roughly 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 Lang Data And Transparency?
Skills that share tags, products or a category with Lang Data And Transparency: 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 Lang Data And Transparency?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.