Agent skill · AI & Agents

podc-artifact-evaluation

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.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-artifact-evaluation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: PODC-Skills/skills/podc-artifact-evaluation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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")

What's inside
Steps it walks through
  1. Why PODC has no artifact track
  2. The three real "evaluations" at PODC
  3. 1. Proof-appendix completeness (the analogue of "Functional")
  4. 2. Model/assumption rigor (the analogue of "Reusable")
  5. 3. Optional-simulation transparency (the analogue of "Available")
  6. Mapping artifact instincts to PODC actions
  7. What NOT to do
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the podc-artifact-evaluation skill do?

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.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-artifact-evaluation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going