Agent skill

Commres Transparency And Data

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when preparing the transparency, open-science, and reproducibility materials for a Communication Research (CR) manuscript — data-availability statement, deposited…

MITAuto-check passedResearch & Science

Install Commres Transparency And Data

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill commres-transparency-and-data -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills commres-transparency-and-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Communication-Research-Skills/skills/commres-transparency-and-data .claude/skills/commres-transparency-and-data && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
commres-transparency-and-data
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
636 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 transparency, open-science, and reproducibility materials for a Communication Research (CR) manuscript — data-availability statement, deposited…

  • Works in 4 steps: Data-availability statement. State where… → Open practices (where pursued). → Quantitative materials. Data, code,… → …
  • Preparing the transparency
  • SKILL.md covers When to trigger, What CR / SAGE expects (verify…, When data cannot be shared… and Build-as-you-go checklist, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Commres Transparency And Data is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the transparency, open-science, and reproducibility materials for a Communication Research (CR) manuscript — data-availability statement, deposited data/code/materials, preregistration, and the restricted-data path. Prepares the materials; it does not waive requirements.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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 transparency
  • Reproducibility materials for a Communication Research (CR) manuscript — data-availability statement
  • Deposited data/code/materials
  • Preregistration

Example prompts

  • “/commres-transparency-and-data”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Data-availability statement. State where the data are (repository + identifier), under what
  2. Open practices (where pursued).
  3. Quantitative materials. Data, code, codebook, scale items, and documentation sufficient to
  4. ORCID and ethics. Provide ORCID where requested; state IRB/ethics approval and informed consent;

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

Commres Transparency And Data loads about 1.6k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 636 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 636 words, ~1,557 tokens.

Download SKILL.mdSave it as .claude/skills/commres-transparency-and-data/SKILL.md (or your agent's skills folder).
name
commres-transparency-and-data
description
Use when preparing the transparency, open-science, and reproducibility materials for a Communication Research (CR) manuscript — data-availability statement, deposited data/code/materials, preregistration, and the restricted-data path. Prepares the materials; it does not waive requirements.

Transparency & Data (commres-transparency-and-data)

CR is a quantitative, social-scientific journal, and its reviewers increasingly expect the materials that let others scrutinize how the numbers were produced. SAGE supports a data-availability statement and open-practices options; build the statement and supporting materials as you write so submission and any open-practice claim go smoothly. Confirm the journal's current wording on the SAGE author page (待核实 on exact policy).

When to trigger

  • Drafting the data-availability statement
  • Deciding whether to share data, code, and materials, or to preregister
  • Preparing a preregistration / pre-analysis plan for a prospective design (note it in the cover letter)
  • Data cannot be fully shared (privacy, ethics, platform/legal restrictions) and you need the path forward

What CR / SAGE expects (verify current wording on the policy page)

  1. Data-availability statement. State where the data are (repository + identifier), under what conditions they can be accessed, and — if they cannot be shared — why, with instructions for how others might obtain them.
  2. Open practices (where pursued).
    • Open data — data and a codebook deposited in a trusted repository with a persistent identifier.
    • Open materials — stimuli, instruments, scales, and code deposited so the study can be reproduced.
    • Preregistration — a time-stamped, registered design/analysis plan; note it in the cover letter.
  3. Quantitative materials. Data, code, codebook, scale items, and documentation sufficient to regenerate every reported result; master script + README + pinned versions + seeds.
  4. ORCID and ethics. Provide ORCID where requested; state IRB/ethics approval and informed consent; for content analysis, deposit the codebook and intercoder-reliability report.

When data cannot be shared (restricted-data path)

  • Explain why in the data-availability statement (ethical/privacy concerns, platform terms of service, or legal restrictions by the provider).
  • Provide instructions on how others can obtain the data (access process, application, provider contact).
  • Where possible, provide synthetic or de-identified data so the code can be run.

Build-as-you-go checklist

  • Data-availability statement drafted (repository, identifier, access conditions, or exemption)
  • One master script regenerates every table and figure from raw/constructed data
  • README documents data provenance, construction, and how to reproduce each exhibit
  • Seeds set and reported for every stochastic step; software/package versions pinned
  • Scales/stimuli/codebook deposited (open materials) where claimed
  • Content analysis: codebook + intercoder-reliability report included
  • Materials anonymized (no author-identifying paths/links) for double-anonymized review
Show full SKILL.md (274 more words)Show less

Transparency expectations by study type (decision table)

Match the deposit to the design rather than forcing one template:

Study typeWhat a CR referee wants depositedOpen practice most relevant
Experimentdata + codebook + stimuli + analysis scriptopen data + materials + preregistration
Survey / paneldata + scale items + analysis script + measurement modelopen data + materials
Content analysiscodebook + coder instructions + reliability subsample + textsopen materials (+ open data)
Computational / text-as-datacorpus or query, model/version, seeds, human-validation setopen materials + open data

For computational measures, the human-validation set is itself the evidence that the automated label means what the paper claims — depositing the classifier without it leaves the construct unverified.

Worked micro-example: a DAS for a copyrighted-news corpus (illustrative)

A computational content analysis of 40,000 news articles (illustrative) hits a familiar wall: the texts are copyrighted and the feed bars redistribution. The path: (1) deposit the codebook, article IDs/URLs, query parameters, and analysis code so a same-license reader reproduces the pipeline; (2) deposit the human-validation sample and shareable derived data; (3) write a data-availability statement naming the restriction, provider, and access route, and offering de-identified derived features (frame proportions per article) so modeling re-runs without raw text.

Anti-patterns

  • Treating the data-availability statement as an afterthought rather than a submission element
  • Claiming an open-practice credit whose materials are not actually deposited or do not reproduce results
  • A personal URL instead of a trusted repository with a persistent identifier
  • Claiming data are restricted without giving an access path or synthetic substitute
  • De-anonymizing the manuscript via an open-materials link during review

Output format

【Data-availability statement】drafted? repository + identifier or exemption? [Y/N]
【Reproduces tables/figures?】master script verified locally? [Y/N]
【Open practices sought】open data / open materials / preregistration (materials staged?)
【Documentation】README + provenance + seeds + pinned versions? [Y/N]
【Restricted data?】exemption note + access path + synthetic data?
【Ethics/ORCID】IRB + consent stated; ORCID provided? [Y/N]
【Next】commres-review-process

Supplementary resources

© 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 Communication-Research-Skills/skills/commres-transparency-and-data of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Compute Environment Setupaipoch/open-science5.5k—~2.6kAutomated safety check: PassApache-2.0
Figure Styleaipoch/open-science5.5k—~5.1kAutomated safety check: PassApache-2.0
Add Bactopia Toolbactopia/bactopia522—~4.1kAutomated safety check: PassMIT

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Questions about Commres Transparency And Data

What does Commres Transparency And Data do?

A skill your agent uses when preparing the transparency, open-science, and reproducibility materials for a Communication Research (CR) manuscript — data-availability statement, deposited…. Commres Transparency And Data is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the transparency, open-science, and reproducibility materials for a Communication Research (CR) manuscript — data-availability statement, deposited data/code/materials, preregistration, and the restricted-data path.

When should I use Commres Transparency And Data?

Commres Transparency And Data fits situations like: preparing the transparency; reproducibility materials for a Communication Research (CR) manuscript — data-availability statement; deposited data/code/materials; preregistration.

How do I install Commres Transparency And Data in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill commres-transparency-and-data -a claude-code`. Or copy the skill folder (Communication-Research-Skills/skills/commres-transparency-and-data in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/commres-transparency-and-data in your project. Claude Code loads it when a task matches its description.

How do I install Commres Transparency And Data in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill commres-transparency-and-data -a codex`. Or copy the skill folder (Communication-Research-Skills/skills/commres-transparency-and-data in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/commres-transparency-and-data in your project. Codex loads it when a task matches its description.

Can I use Commres Transparency And Data 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 commres-transparency-and-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/commres-transparency-and-data, .gemini/skills/commres-transparency-and-data, .github/skills/commres-transparency-and-data and .opencode/skills/commres-transparency-and-data in your project.

What does Commres Transparency And Data need to run?

SKILL.md names no scripts, command-line tools or credentials: Commres Transparency And Data is instructions for the agent only.

Does Commres Transparency And Data 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 Commres Transparency And Data 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 Commres Transparency And Data use?

Commres Transparency And Data 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 Commres Transparency And Data use?

About 1.6k tokens (SKILL.md is roughly 6.2k 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 Commres Transparency And Data?

Skills that share tags, products or a category with Commres Transparency And Data: 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 Commres Transparency And Data?

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.