Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
A skill your agent uses when making a POPL paper's results independently checkable — deciding which theorems to mechanize versus hand-prove, maintaining a paper-to-proof correspondence table from…
Install Popl Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popl-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popl-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/POPL-Skills/skills/popl-reproducibility .claude/skills/popl-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 "popl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-reproducibility into .claude/skills/popl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-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/POPL-Skills/skills/popl-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 popl-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popl-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/POPL-Skills/skills/popl-reproducibility .agents/skills/popl-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 "popl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-reproducibility into .agents/skills/popl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-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 popl-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popl-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/POPL-Skills/skills/popl-reproducibility .cursor/skills/popl-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 "popl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-reproducibility into .cursor/skills/popl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-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 POPL-Skills/skills/popl-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 popl-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills popl-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/POPL-Skills/skills/popl-reproducibility .gemini/skills/popl-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 "popl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-reproducibility into .gemini/skills/popl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-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 popl-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 popl-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/POPL-Skills/skills/popl-reproducibility .github/skills/popl-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 "popl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-reproducibility into .github/skills/popl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-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 popl-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 popl-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/POPL-Skills/skills/popl-reproducibility .opencode/skills/popl-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 "popl-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/POPL-Skills/skills/popl-reproducibility into .opencode/skills/popl-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "popl-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
popl-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~945 tokens
- SKILL.md length
- 383 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when making a POPL paper's results independently checkable — deciding which theorems to mechanize versus hand-prove, maintaining a paper-to-proof correspondence table from…
- Making a POPL papers results independently checkable — deciding which theorems to mechanize versus hand-prove
- SKILL.md covers What each claim type owes the…, Mechanize deliberately, not…, The correspondence table and Assumption hygiene for…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Maintaining a paper-to-proof correspondence table from day one
What it does
Popl Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making a POPL paper's results independently checkable — deciding which theorems to mechanize versus hand-prove, maintaining a paper-to-proof correspondence table from day one, keeping on-paper proofs auditable with explicit assumption tracking, and making any accompanying prototype's numbers regenerable.
Its SKILL.md is about 950 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
- Making a POPL papers results independently checkable — deciding which theorems to mechanize versus hand-prove
- Maintaining a paper-to-proof correspondence table from day one
- Keeping on-paper proofs auditable with explicit assumption tracking
- Making any accompanying prototypes numbers regenerable
Example prompts
- “/popl-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 (its code samples are markdown).
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
Popl Reproducibility loads about 945 tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 383 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). 383 words, ~945 tokens.
Download SKILL.mdSave it as
.claude/skills/popl-reproducibility/SKILL.md (or your agent's skills folder).- name
- popl-reproducibility
- description
- Use when making a POPL paper's results independently checkable — deciding which theorems to mechanize versus hand-prove, maintaining a paper-to-proof correspondence table from day one, keeping on-paper proofs auditable with explicit assumption tracking, and making any accompanying prototype's numbers regenerable.
POPL Reproducibility
At a theory venue "reproducible" does not mean rerunnable seeds; it means an
independent reader can re-establish your claims. For POPL that decomposes by claim
type, and the discipline pays twice: once with reviewers under full double-blind, and
again with artifact evaluators after conditional acceptance, where reusable proof
claims must be complete — no admit, no sorry (AE criteria read 2026-07-08).
What each claim type owes the reader
| Claim type | Its reproducibility obligation |
|---|---|
| Mechanized theorem | Development compiles; theorem checkable; axioms printed and declared |
| On-paper theorem | Full proof in the appendix; every hypothesis stated where used, not discovered mid-proof |
| Definitional adequacy ("our semantics models X") | Examples or an adequacy theorem connecting formalism to the informal system |
| Prototype measurement | Scripted runs, versioned inputs, stated machine — see popl-experiments |
Mechanize deliberately, not maximally
Full mechanization is powerful but not free; partial mechanization is respectable at POPL when scoped honestly. Decide per theorem:
- Mechanize the theorems whose proofs are long, syntactic, and error-prone — subject reduction, soundness of a logical relation — where hand-proof mistakes hide.
- Hand-prove what is short and conceptual, and write the proof in full; "routine induction" is a claim reviewers test by attempting the induction.
- Never let paper and mechanization silently diverge: if the mechanized calculus drops polymorphism, the paper's theorem statement must say so.
- Statement drift is the classic failure — the
.vfile proves a lemma about a judgment the paper revised two drafts ago.
Show full SKILL.md (149 more words)Show less
The correspondence table
Start this file the week the first lemma lands, not the week AE starts:
| Paper stmt | Formal name | File:line | Status | Axioms |
|---|---|---|---|---|
| Thm 3.1 (soundness) | `soundness` | theories/Sound.v:212 | Qed | none |
| Lem 3.2 (subst) | `subst_pres` | theories/Subst.v:88 | Qed | funext (declared) |
| Thm 5.4 (full abstraction) | — | on-paper only, App. D | complete proof | classical logic |Regenerate the status column mechanically (grep -c "Admitted" theories/*.v should
be zero or explained) and cite the table in the paper's contributions paragraph — it
is the sentence "all results are mechanized except Thm 5.4" made auditable.
Assumption hygiene for on-paper proofs
- Number global assumptions once (Assumption 1, 2, ...) and cite them by number in every theorem; unnumbered ambient hypotheses are where soundness doubts breed.
- Keep one notation table; a symbol that changes meaning between Section 3 and Appendix B costs a review cycle.
- When a proof cites "standard techniques," name the technique and the source theorem — the reader must be able to find the exact statement being invoked.
- Archive the appendix, proofs, and development in the same repository so a revision to one forces a visible diff in the others.
Output format
[Claim inventory] mechanized:<n> on-paper:<n> empirical:<n>
[Correspondence table] exists / stale / missing
[Divergences] <paper statement vs formalization deltas, each disclosed?>
[Assumption hygiene] <numbered? notation table? invoked-theorem citations?>
[Weakest link] <the one claim an independent reader cannot currently re-establish>© 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 POPL-Skills/skills/popl-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Popl 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 |
|---|---|---|---|---|---|---|
| Popl Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~945 | 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 |
Similar skills
CHARLS Paper Reproduction Guide
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
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
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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.
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Related
Categories
Questions about Popl Reproducibility
What does Popl Reproducibility do?
A skill your agent uses when making a POPL paper's results independently checkable — deciding which theorems to mechanize versus hand-prove, maintaining a paper-to-proof correspondence table from…. Popl Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making a POPL paper's results independently checkable — deciding which theorems to mechanize versus hand-prove, maintaining a paper-to-proof correspondence table from day one, keeping on-paper proofs auditable with explicit assumption tracking, and making any accompanying prototype's numbers regenerable.
When should I use Popl Reproducibility?
Popl Reproducibility fits situations like: making a POPL papers results independently checkable — deciding which theorems to mechanize versus hand-prove; maintaining a paper-to-proof correspondence table from day one; keeping on-paper proofs auditable with explicit assumption tracking; making any accompanying prototypes numbers regenerable.
How do I install Popl Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popl-reproducibility -a claude-code`. Or copy the skill folder (POPL-Skills/skills/popl-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/popl-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Popl Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill popl-reproducibility -a codex`. Or copy the skill folder (POPL-Skills/skills/popl-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/popl-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Popl 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 popl-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/popl-reproducibility, .gemini/skills/popl-reproducibility, .github/skills/popl-reproducibility and .opencode/skills/popl-reproducibility in your project.
What does Popl Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Popl Reproducibility is instructions for the agent only.
Does Popl 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 Popl 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 Popl Reproducibility use?
Popl 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 Popl Reproducibility use?
About 945 tokens (SKILL.md is roughly 3.8k 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 Popl Reproducibility?
Skills that share tags, products or a category with Popl Reproducibility: 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 Popl 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.