Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Agent skill
Podc Artifact Evaluation
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when an author expects an artifact-evaluation or badge track at ACM PODC and needs redirecting — PODC has NO artifact track and no ACM badges.
Install Podc Artifact Evaluation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills podc-artifact-evaluation --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-artifact-evaluation .claude/skills/podc-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-artifact-evaluation into .claude/skills/podc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-artifact-evaluation", 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-artifact-evaluationType 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-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills podc-artifact-evaluation --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-artifact-evaluation .agents/skills/podc-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-artifact-evaluation into .agents/skills/podc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-artifact-evaluation", 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-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills podc-artifact-evaluation --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-artifact-evaluation .cursor/skills/podc-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-artifact-evaluation into .cursor/skills/podc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-artifact-evaluation", 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-artifact-evaluation--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-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills podc-artifact-evaluation --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-artifact-evaluation .gemini/skills/podc-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-artifact-evaluation into .gemini/skills/podc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-artifact-evaluation", 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-artifact-evaluationInstalls 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-artifact-evaluation -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-artifact-evaluation .github/skills/podc-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-artifact-evaluation into .github/skills/podc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-artifact-evaluation", 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-artifact-evaluation -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-artifact-evaluation --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-artifact-evaluation .opencode/skills/podc-artifact-evaluation && 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-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/PODC-Skills/skills/podc-artifact-evaluation into .opencode/skills/podc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "podc-artifact-evaluation", 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-artifact-evaluation- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 446 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when an author expects an artifact-evaluation or badge track at ACM PODC and needs redirecting — PODC has NO artifact track and no ACM badges.
- Works in 3 steps: Proof-appendix completeness (the… → Model/assumption rigor (the analogue of… → Optional-simulation transparency (the…
- An author expects an artifact-evaluation
- SKILL.md covers Why PODC has no artifact track, The three real "evaluations"…, Mapping artifact instincts to… and What NOT to do, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Podc Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an author expects an artifact-evaluation or badge track at ACM PODC and needs redirecting — PODC has NO artifact track and no ACM badges. This skill converts artifact-culture instincts into what PODC actually evaluates: proof-appendix completeness, model/assumption rigor, and the honest, optional role of any simulation.
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. 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
- An author expects an artifact-evaluation
- Badge track at ACM PODC and needs redirecting — PODC has NO artifact track and no ACM badges
Example prompts
- “/podc-artifact-evaluation”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
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 Artifact Evaluation loads about 1.3k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 446 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). 446 words, ~1,270 tokens.
Download SKILL.mdSave it as
.claude/skills/podc-artifact-evaluation/SKILL.md (or your agent's skills folder).- name
- podc-artifact-evaluation
- description
- Use when an author expects an artifact-evaluation or badge track at ACM PODC and needs redirecting — PODC has NO artifact track and no ACM badges. This skill converts artifact-culture instincts into what PODC actually evaluates: proof-appendix completeness, model/assumption rigor, and the honest, optional role of any simulation.
PODC Artifact Evaluation (there isn't one — read this)
If you arrived here expecting an Artifacts-Available / Functional / Reusable / Reproduced badge process, stop: PODC has no artifact-evaluation track and no ACM badge program. It is a proofs venue. The object that is "evaluated" is your theorem and its proof, and the honesty of your model and assumptions. This skill redirects artifact energy into the three things that actually decide a PODC paper's technical standing.
Why PODC has no artifact track
A PODC contribution is a model, a theorem, and a proof, not a running system or a dataset. There
is nothing for evaluators to install and run to confirm the claim — the claim is confirmed by
reading the proof. Importing a badge workflow here is a category error: it would evaluate an
artifact that is, at most, an optional illustration. (Contrast this with software-engineering or
systems venues, where the artifact is part of the evidence.) Any simulation you ship is a
figure-generator, not proof of correctness (podc-experiments, podc-reproducibility).
The three real "evaluations" at PODC
1. Proof-appendix completeness (the analogue of "Functional")
Just as an SE evaluator checks that an artifact runs, a PODC reviewer checks that the proof closes. Make it pass:
[ ] Every lemma the main theorem uses is stated and fully proved (or cited with the statement quoted)
[ ] No "it is easy to see" or "the remaining case is symmetric" hides a nontrivial step
[ ] Base cases of inductions/recursions are present
[ ] Named invariants are shown to hold initially and be preserved
[ ] The full version is self-contained: no proof depends on an external private note2. Model/assumption rigor (the analogue of "Reusable")
An artifact is "Reusable" when others can build on it; a model is reusable when it is stated precisely enough that others can prove new results in it and trust yours:
[ ] The model box fixes network, timing, faults, adversary, randomness, and cost measure before any theorem
[ ] Every assumption the proofs consume is declared in the box (no assumption creep)
[ ] No proof silently strengthens synchrony or weakens the adversary mid-argument
[ ] Parameter regimes (ranges of n, t, diameter) are stated where results are conditional
[ ] Definitions match standard usage, or deviations are flagged explicitlyRun the assumption audit from podc-experiments; this is the single most common source of a PODC
soundness rejection.
Show full SKILL.md (190 more words)Show less
3. Optional-simulation transparency (the analogue of "Available")
If — and only if — your paper includes a simulation, make it transparent, while remembering it establishes nothing:
[ ] Labeled as illustrative (a constant, a convergence rate, average-case behavior), not as verification
[ ] Parameters, ranges, number of trials, and random seeds reported
[ ] Environment pinned (language/version) in the full version or a linked bundle
[ ] Any repo/author-page link kept OUT of the anonymized submission (lightweight double-blind)
[ ] Added openly only in the camera-ready / arXiv full versionMapping artifact instincts to PODC actions
| Artifact-venue instinct | PODC equivalent |
|---|---|
| "Package the code so it runs on a clean machine" | Make the proof close for a reader with only the submission |
| "Document dependencies" | Declare every assumption in the model box |
| "Provide a claim -> script -> result mapping" | Provide a theorem -> lemma -> proof map with exact cross-refs |
| "Deposit in a DOI archive for Available" | Post the full version with all proofs to arXiv |
| "Reproduce the headline numbers" | Let a reader re-derive the bound from the stated model |
What NOT to do
- Do not build a Dockerfile, a badge application, or an evaluator README expecting a PODC artifact track — there is none.
- Do not present a simulation as if it earned a "Reproduced" badge; PODC has no such badge and the proof is the evidence.
- Do not de-anonymize the submission by linking a simulation repository during review.
- Do not confuse PODC with software-engineering or systems venues (or with DISC's practice); the proofs-only evaluation model is the point.
Output format
[Reality check] confirmed: PODC has no artifact/badge track; the proof is what is evaluated
[Proof completeness] every lemma proved; no hidden steps; self-contained full version?
[Model rigor] model box complete; no assumption creep; regimes stated?
[Simulation] absent / illustrative-and-transparent (seeds/ranges), no de-anonymizing links?
[Fix queue] <proof gaps to close; assumptions to declare; simulation framing to correct>© 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-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Podc Artifact Evaluation 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 Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
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 Artifact Evaluation
What does Podc Artifact Evaluation do?
A skill your agent uses when an author expects an artifact-evaluation or badge track at ACM PODC and needs redirecting — PODC has NO artifact track and no ACM badges. Podc Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an author expects an artifact-evaluation or badge track at ACM PODC and needs redirecting — PODC has NO artifact track and no ACM badges.
When should I use Podc Artifact Evaluation?
Podc Artifact Evaluation fits situations like: an author expects an artifact-evaluation; badge track at ACM PODC and needs redirecting — PODC has NO artifact track and no ACM badges.
How do I install Podc Artifact Evaluation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-artifact-evaluation -a claude-code`. Or copy the skill folder (PODC-Skills/skills/podc-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/podc-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Podc Artifact Evaluation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-artifact-evaluation -a codex`. Or copy the skill folder (PODC-Skills/skills/podc-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/podc-artifact-evaluation in your project. Codex loads it when a task matches its description.
Can I use Podc Artifact Evaluation 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-artifact-evaluation -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-artifact-evaluation, .gemini/skills/podc-artifact-evaluation, .github/skills/podc-artifact-evaluation and .opencode/skills/podc-artifact-evaluation in your project.
What does Podc Artifact Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Podc Artifact Evaluation is instructions for the agent only.
Does Podc Artifact Evaluation 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 Artifact Evaluation 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 Artifact Evaluation use?
Podc Artifact Evaluation 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 Artifact Evaluation use?
About 1.3k tokens (SKILL.md is roughly 5.1k 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 Artifact Evaluation?
Skills that share tags, products or a category with Podc Artifact Evaluation: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Podc Artifact Evaluation?
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.