Agent skill · Code Review & Quality

uist-artifact-evaluation

Use when packaging the artifacts behind a UIST paper — code, toolkits, hardware design files, and datasets — first as anonymous review-time evidence that the system is real, then as a public release engineered for reuse, in a venue with no formal badge committee doing the checking for you.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill uist-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: 6 KB
Bundled scripts: none
Path: UIST-Skills/skills/uist-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

# UIST Artifact Evaluation UIST has no artifact-evaluation committee or badge track (none was found for the 2026 cycle — 待核实 each year); the CFP-level instrument of proof is the video figure. That absence raises rather than lowers the packaging bar: your artifacts are judged twice, informally — at review time as *evidence the system exists as claimed*, and after publication as *infrastructure other builders adopt*. Nobody will certify either; both simply succeed or fail. ## What counts as the artifact, by paper type | Paper type | Review-time artifact | Reuse-time artifact | |---|---|---| | Interaction technique | Reference implementation + demo scene | Portable library with the technique isolated | | Toolkit / authoring system | Runnable toolkit + the example apps from the paper | Documented API, tutorials, package registry entry | | Hardware / fabrication | Design files, firmware, BOM, assembly photos | Fab-ready files + sourcing notes + calibration guide | | Sensing / recognition pipeline | Trained models + capture data + eval harness | Dataset with collection protocol + retraining scripts | | Human-AI / LLM system | Prompts, orchestration code, pinned model IDs, logged transcri

What's inside
Steps it walks through
  1. What counts as the artifact, by paper type
  2. Review-time packaging: the five-minute skeptic
  3. Release-time packaging: engineering for strangers
  4. What the informal evaluators open first
  5. Toolkit papers: adoption is the long evaluation
  6. Hardware honesty
  7. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the uist-artifact-evaluation skill do?

Use when packaging the artifacts behind a UIST paper — code, toolkits, hardware design files, and datasets — first as anonymous review-time evidence that the system is real, then as a public release engineered for reuse, in a venue with no formal badge committee doing the checking for you.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill uist-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