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 an ACM PODC paper's result independently checkable — reproducibility for a proofs venue, not an artifact venue.
Install Podc Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills podc-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/PODC-Skills/skills/podc-reproducibility .claude/skills/podc-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 "podc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-reproducibility into .claude/skills/podc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-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/PODC-Skills/skills/podc-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 podc-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills podc-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/PODC-Skills/skills/podc-reproducibility .agents/skills/podc-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 "podc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-reproducibility into .agents/skills/podc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-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 podc-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills podc-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/PODC-Skills/skills/podc-reproducibility .cursor/skills/podc-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 "podc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-reproducibility into .cursor/skills/podc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-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 PODC-Skills/skills/podc-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 podc-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills podc-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/PODC-Skills/skills/podc-reproducibility .gemini/skills/podc-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 "podc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-reproducibility into .gemini/skills/podc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-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 podc-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 podc-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/PODC-Skills/skills/podc-reproducibility .github/skills/podc-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 "podc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-reproducibility into .github/skills/podc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-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 podc-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 podc-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/PODC-Skills/skills/podc-reproducibility .opencode/skills/podc-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 "podc-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-reproducibility into .opencode/skills/podc-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-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
podc-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 568 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when making an ACM PODC paper's result independently checkable — reproducibility for a proofs venue, not an artifact venue.
- Works in 3 steps: Read the model box and know exactly what… → Follow every proof to its base cases and… → Confirm that each theorem holds in the…
- Making an ACM PODC papers result independently checkable — reproducibility for a proofs venue
- SKILL.md covers What "checkable" means here, The self-contained proof…, The model/assumption box is… and Optional simulations:…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Podc Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making an ACM PODC paper's result independently checkable — reproducibility for a proofs venue, not an artifact venue. Covers a self-contained proof appendix, an explicit and checkable model/assumption box, honest handling of any optional simulation, and keeping the full version (with proofs) in sync with the 10-page camera-ready.
Its SKILL.md is about 1.3k 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 an ACM PODC papers result independently checkable — reproducibility for a proofs venue
- Not an artifact venue
Example prompts
- “/podc-reproducibility”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Read the model box and know exactly what network, timing, fault, adversary, randomness, and
- Follow every proof to its base cases and cited lemmas **without needing an external file, a
- Confirm that each theorem holds in the stated model and nowhere relies on a stronger assumption.
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
Podc Reproducibility loads about 1.3k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 568 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). 568 words, ~1,338 tokens.
Download SKILL.mdSave it as
.claude/skills/podc-reproducibility/SKILL.md (or your agent's skills folder).- name
- podc-reproducibility
- description
- Use when making an ACM PODC paper's result independently checkable — reproducibility for a proofs venue, not an artifact venue. Covers a self-contained proof appendix, an explicit and checkable model/assumption box, honest handling of any optional simulation, and keeping the full version (with proofs) in sync with the 10-page camera-ready.
PODC Reproducibility
"Reproducibility" at a proofs venue means a reader can independently verify the theorem. PODC has no artifact track and no ACM badge program, so there is nothing to package for evaluators — the deliverable that makes your result checkable is a self-contained proof and an honest model box. This skill translates the open-science instinct into what actually matters at PODC.
What "checkable" means here
A PODC result is reproducible when a competent reader, given only your submission and its full version, can:
- Read the model box and know exactly what network, timing, fault, adversary, randomness, and cost-measure assumptions are in force.
- Follow every proof to its base cases and cited lemmas without needing an external file, a private note, or a "details omitted".
- Confirm that each theorem holds in the stated model and nowhere relies on a stronger assumption.
The self-contained proof appendix
Because the 10-page merits budget cannot hold full proofs, the full version (submitted as the paper, and later posted to arXiv) carries them. Make it self-contained:
[Every lemma stated] each lemma the main theorem uses appears with a full proof, or a precise
citation to an external theorem (statement quoted, not just referenced)
[No "it is easy to see"] for any nontrivial step; either prove it or mark it explicitly routine
[Base cases present] inductions and recursions have their base cases proved
[Invariants proved] each named invariant is shown to hold initially and be preserved
[Notation defined once] a single notation table the appendix and body share
[Cross-references exact] "by Lemma 3.2" points to the right statement in both body and full versionA proof that says "the remaining case is symmetric" is fine only if it truly is; reviewers check the "symmetric" cases that turn out not to be.
The model/assumption box is the reproducibility contract
The single most common reason a PODC result fails to reproduce is an assumption used but not
declared. Treat the model box (see podc-writing-style) as a contract:
- Every assumption the proofs use must be in the box. If a proof needs a shared coin, the box must grant one. If it needs FIFO channels, the box must say so.
- Nothing in the box may be silently strengthened mid-proof (asynchrony becoming "eventually synchronous" without invoking GST; an oblivious adversary becoming "non-adaptive within a phase").
- If a result holds only in a parameter regime, the box or the theorem states the regime.
Run the assumption audit from podc-experiments and confirm the box covers everything the proofs
consume.
Show full SKILL.md (246 more words)Show less
Optional simulations: transparent, not load-bearing
If the paper includes a simulation (many do not), make it reproducible as an illustration:
- State the parameters, ranges, number of trials, and random seeds; pin the environment (language/version) in the full version or a linked bundle.
- One-command reproduction is a nice-to-have, not a requirement — the result stands on the proof.
- Keep any simulation repository/author-page link out of the anonymized submission (lightweight double-blind), and add it only in the camera-ready / arXiv version.
- Never present simulation output as if it verified the theorem; label it "illustrative."
Keeping the full version in sync
- The camera-ready (≤10 proceedings pages) and the arXiv full version must state identical theorems; only the proof detail differs. A theorem tightened in one and not the other is a correctness-record bug.
- When you fix a proof after acceptance, propagate the fix to the arXiv version and note the revision — the community reads arXiv for the proofs.
- Cross-reference the full version from the proceedings paper ("full proofs in the full version [arXiv:...]") so a reader can always reach the complete argument.
Common failures
- "Proof omitted" with no full version — the result is then unverifiable; unacceptable at a proofs venue.
- Assumption used but not in the model box — the reproducibility contract is broken.
- Body and full version disagree on a theorem statement or constant.
- Simulation dressed as verification — a plot presented as if it proved correctness.
- De-anonymizing link in the submission — a simulation repo that reveals authorship under double-blind.
Output format
[Proof appendix] self-contained? every lemma proved/precisely cited? base cases + invariants present?
[Model box contract] every assumption the proofs use is declared and never silently strengthened?
[Body <-> full version] theorem statements identical; full proofs reachable from the proceedings paper?
[Simulation] absent / illustrative-with-seeds-and-ranges; no de-anonymizing links at review time?
[Fix queue] <omitted proofs to supply; undeclared assumptions; sync mismatches>© 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 PODC-Skills/skills/podc-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Podc 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 |
|---|---|---|---|---|---|---|
| Podc Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | 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
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 Podc Reproducibility
What does Podc Reproducibility do?
A skill your agent uses when making an ACM PODC paper's result independently checkable — reproducibility for a proofs venue, not an artifact venue. Podc Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making an ACM PODC paper's result independently checkable — reproducibility for a proofs venue, not an artifact venue.
When should I use Podc Reproducibility?
Podc Reproducibility fits situations like: making an ACM PODC papers result independently checkable — reproducibility for a proofs venue; not an artifact venue.
How do I install Podc Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-reproducibility -a claude-code`. Or copy the skill folder (PODC-Skills/skills/podc-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/podc-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Podc Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-reproducibility -a codex`. Or copy the skill folder (PODC-Skills/skills/podc-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/podc-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Podc 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 podc-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/podc-reproducibility, .gemini/skills/podc-reproducibility, .github/skills/podc-reproducibility and .opencode/skills/podc-reproducibility in your project.
What does Podc Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Podc Reproducibility is instructions for the agent only.
Does Podc 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 Podc 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 Podc Reproducibility use?
Podc 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 Podc Reproducibility use?
About 1.3k tokens (SKILL.md is roughly 5.4k 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 Podc Reproducibility?
Skills that share tags, products or a category with Podc 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 Podc 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.