Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Agent skill
Popdevr Transparency And Data
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when preparing the data-availability statement and reproducibility materials for a Population and Development Review (PDR, Wiley / Population Council) manuscript.
Install Popdevr Transparency And Data
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popdevr-transparency-and-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popdevr-transparency-and-data --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/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data .claude/skills/popdevr-transparency-and-data && 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 "popdevr-transparency-and-data" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data into .claude/skills/popdevr-transparency-and-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popdevr-transparency-and-data", 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/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-dataType 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 popdevr-transparency-and-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popdevr-transparency-and-data --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/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data .agents/skills/popdevr-transparency-and-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "popdevr-transparency-and-data" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data into .agents/skills/popdevr-transparency-and-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popdevr-transparency-and-data", 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 popdevr-transparency-and-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popdevr-transparency-and-data --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/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data .cursor/skills/popdevr-transparency-and-data && 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 "popdevr-transparency-and-data" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data into .cursor/skills/popdevr-transparency-and-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popdevr-transparency-and-data", 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 Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data--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 popdevr-transparency-and-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popdevr-transparency-and-data --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/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data .gemini/skills/popdevr-transparency-and-data && 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 "popdevr-transparency-and-data" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data into .gemini/skills/popdevr-transparency-and-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popdevr-transparency-and-data", 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 popdevr-transparency-and-dataInstalls 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 popdevr-transparency-and-data -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/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data .github/skills/popdevr-transparency-and-data && 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 "popdevr-transparency-and-data" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data into .github/skills/popdevr-transparency-and-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popdevr-transparency-and-data", 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 popdevr-transparency-and-data -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 popdevr-transparency-and-data --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/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data .opencode/skills/popdevr-transparency-and-data && 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 "popdevr-transparency-and-data" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data into .opencode/skills/popdevr-transparency-and-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popdevr-transparency-and-data", 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
popdevr-transparency-and-data- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 706 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-availability statement and reproducibility materials for a Population and Development Review (PDR, Wiley / Population Council) manuscript.
- Works in 5 steps: Data availability statement. Include a… → FAIR repository + persistent… → Reproducible, documented code. Provide… → …
- Preparing the data-availability statement and reproducibility materials for a Population and Development Review (PDR
- SKILL.md covers When to trigger, What PDR / Wiley expect…, Build-as-you-go checklist and Anti-patterns, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Popdevr Transparency And Data is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the data-availability statement and reproducibility materials for a Population and Development Review (PDR, Wiley / Population Council) manuscript. PDR follows Wiley's data-sharing and research-integrity expectations — a data availability statement, ORCID, and reproducible, well-documented materials deposited in a FAIR repository (verify current policy). Covers restricted-data exemptions. Prepares the materials; it does not waive requirements.
Its SKILL.md is about 1.7k 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-availability statement and reproducibility materials for a Population and Development Review (PDR
- Wiley / Population Council) manuscript
Example prompts
- “/popdevr-transparency-and-data”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Data availability statement. Include a statement describing whether and how the data underlying
- FAIR repository + persistent identifiers. Because PDR hosts no repository, deposit data and
- Reproducible, documented code. Provide code that regenerates the results, with **software versions
- Restricted data (common in this field). DHS, census microdata, and linked administrative records
- ORCID and integrity. Provide ORCID for the submitting author; declare funding, conflicts, and
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
Popdevr Transparency And Data loads about 1.7k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 706 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). 706 words, ~1,666 tokens.
Download SKILL.mdSave it as
.claude/skills/popdevr-transparency-and-data/SKILL.md (or your agent's skills folder).- name
- popdevr-transparency-and-data
- description
- Use when preparing the data-availability statement and reproducibility materials for a Population and Development Review (PDR, Wiley / Population Council) manuscript. PDR follows Wiley's data-sharing and research-integrity expectations — a data availability statement, ORCID, and reproducible, well-documented materials deposited in a FAIR repository (verify current policy). Covers restricted-data exemptions. Prepares the materials; it does not waive requirements.
Transparency & Data (popdevr-transparency-and-data)
PDR sits within Wiley's author and research-integrity framework: a data availability statement is expected, ORCID is encouraged/required for submitting authors, and authors are expected to make data and materials available where ethics and licensing permit. PDR hosts no repository of its own — you choose a FAIR repository and provide persistent identifiers. Build the materials as you go so revision and acceptance do not stall. Verify current wording on the Wiley author page and the data-policy page. 待核实.
When to trigger
- Building the reproducibility materials and the data availability statement
- A manuscript reached revision/acceptance and you must finalize the statement and deposit
- Data cannot be fully shared (privacy, confidentiality, DHS/census licensing, provider restrictions) and you need the exemption language
- Choosing a repository and persistent identifier; setting up ORCID
What PDR / Wiley expect (verify current policy on the author page)
- Data availability statement. Include a statement describing whether and how the data underlying the results can be accessed. For public data, give the access method with a persistent identifier (DOI or accession number); for restricted data, state the access conditions.
- FAIR repository + persistent identifiers. Because PDR hosts no repository, deposit data and materials in a FAIR-aligned repository (ICPSR/openICPSR, Harvard Dataverse, Zenodo, OSF) and cite it with a permanent link — not a personal website or generic cloud folder. Find one via FAIRsharing.org or re3data.org.
- Reproducible, documented code. Provide code that regenerates the results, with software versions recorded and informative comments. For a quantitative population-and-development paper, treat this as expected, not optional.
- Restricted data (common in this field). DHS, census microdata, and linked administrative records are frequently licensed or confidential — describe the conditions limiting access and how others may obtain the data, provide the extract specification and code rather than the raw microdata, and align with FAIR principles as far as possible.
- ORCID and integrity. Provide ORCID for the submitting author; declare funding, conflicts, and ethics/consent where human subjects are involved.
Build-as-you-go checklist
- Data availability statement drafted (public / restricted / on request) with persistent IDs
- Data + materials deposited in a FAIR repository with a DOI/accession number
- One master script regenerates every table, figure, life table, decomposition, and projection
- README documents data provenance/vintage, construction of rates/exposure, and how to reproduce each exhibit
- Code commented and software/package versions recorded (
renv.lock/requirements.txt/ installs) - Seeds set and reported for bootstrap and simulation
- Exhibit numbers in the manuscript match the deposited output exactly
- Restricted data: exemption note + access conditions + extract spec + synthetic data where feasible
- ORCID registered for the submitting author; funding/conflicts/ethics declared
Show full SKILL.md (285 more words)Show less
Anti-patterns
- Treating the data statement as a last-minute formality at acceptance
- A personal URL or generic cloud link instead of a persistent identifier in a FAIR repository
- Posting licensed DHS/census microdata you are not permitted to redistribute (share the extract code instead)
- Undocumented, un-seeded, uncommented code that "works on my machine"
- Claiming data are restricted without describing the access conditions
What a reproducibility reviewer expects at PDR
PDR draws referees who re-derive a denominator or re-run a decomposition, and who care that licensed data were handled correctly. Calibrate the package against the data class you actually used.
| Data class | Typical source | Deposit obligation |
|---|---|---|
| Fully public | HMD, HFD, WPP, published vital statistics, World Bank/WDI | Extract code + constructed analytic file (where license permits) + persistent ID |
| Public-but-licensed | IPUMS, DHS, redistribution-restricted census | Extract specification + code, not raw microdata; cite the provider's persistent access path |
| Restricted/confidential | Linked administrative records, RDC-only census, linked registers | Code + synthetic stand-in file + exact access-conditions note |
Referee-pushback patterns and the PDR-specific fix
- "I cannot tell which WPP/HMD vintage or DHS round produced these numbers." -> Record the release label and download date in the README and a code comment; vintages and rounds revise the figures.
- "You posted DHS microdata — that violates the license." -> Remove raw microdata; ship the DHS extract request specification and the cleaning code, and cite DHS as the persistent access path.
- "Your bootstrap/projection intervals are not reproducible." -> Set and report a seed for every resampling and simulation step.
- "You say data are restricted but give no way to obtain them." -> Name the data enclave or application pathway and the access conditions; a bare "restricted" reads as evasion.
Output format
【Data statement】public / restricted / on request — drafted with persistent ID? [Y/N]
【Repository】FAIR repo + DOI/accession (not personal URL)? [Y/N]
【Licensed data handled】extract code, not raw microdata, for DHS/census? [Y/N/NA]
【Reproducible code】master script + comments + recorded versions + seeds? [Y/N]
【Exhibits match deposit?】[Y/N]
【ORCID + declarations】submitting-author ORCID + funding/conflicts/ethics? [Y/N]
【Next】popdevr-review-processSupplementary resources
../../resources/external_tools.md— FAIR repositories and reproducibility tooling../../resources/official-source-map.md— PDR / Wiley data-availability and integrity policy
© 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 Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Popdevr Transparency And Data 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 |
|---|---|---|---|---|---|---|
| Popdevr Transparency And Data this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| Compute Environment Setupaipoch/open-science | 5.5k | 1 repos | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| 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 |
Similar skills
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.
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.
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
yushui2022/MathModel-Skill
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.
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag Data Analysis
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
Aaag Literature Positioning
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
Aaag Rebuttal
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
Aaag Research Design
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
Aaag Review Process
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
Aaag Submission
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Related
Categories
Questions about Popdevr Transparency And Data
What does Popdevr Transparency And Data do?
A skill your agent uses when preparing the data-availability statement and reproducibility materials for a Population and Development Review (PDR, Wiley / Population Council) manuscript. Popdevr Transparency And Data is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the data-availability statement and reproducibility materials for a Population and Development Review (PDR, Wiley / Population Council) manuscript.
When should I use Popdevr Transparency And Data?
Popdevr Transparency And Data fits situations like: preparing the data-availability statement and reproducibility materials for a Population and Development Review (PDR; wiley / Population Council) manuscript.
How do I install Popdevr Transparency And Data in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popdevr-transparency-and-data -a claude-code`. Or copy the skill folder (Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/popdevr-transparency-and-data in your project. Claude Code loads it when a task matches its description.
How do I install Popdevr Transparency And Data in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popdevr-transparency-and-data -a codex`. Or copy the skill folder (Population-and-Development-Review-Skills/skills/popdevr-transparency-and-data in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/popdevr-transparency-and-data in your project. Codex loads it when a task matches its description.
Can I use Popdevr 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 popdevr-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/popdevr-transparency-and-data, .gemini/skills/popdevr-transparency-and-data, .github/skills/popdevr-transparency-and-data and .opencode/skills/popdevr-transparency-and-data in your project.
What does Popdevr Transparency And Data need to run?
SKILL.md names no scripts, command-line tools or credentials: Popdevr Transparency And Data is instructions for the agent only.
Does Popdevr 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 Popdevr 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 Popdevr Transparency And Data use?
Popdevr 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 Popdevr Transparency And Data use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Popdevr Transparency And Data?
Skills that share tags, products or a category with Popdevr Transparency And Data: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), Compute Environment Setup (aipoch/open-science, 5.5k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 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 Popdevr Transparency And Data?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.