Individual skill
vis-reproducibility
Use when strengthening IEEE VIS reproducibility and open-practices evidence, covering the open-materials statement, anonymized-but-runnable code and stimuli, preregistration of perceptual and user studies, provenance for datasets and rendering pipelines, claim-to-figure mapping, honest degrees of reproducibility, and consistency between what the TVCG paper says and what the supplemental archive contains.
VIS-Skills/skills/vis-reproducibility/SKILL.md
Source commit 932eb23331721b16e967c59f093781be1928b498
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,405
- Repository last updated
- Sep 27, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- agent-skills Repository topic
- journal Repository topic
- academic-research Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- awesome-list Repository topic
- claude Repository topic
- claude-code Repository topic
- economics Repository topic
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# VIS Reproducibility
Use this before submission and again before camera-ready. IEEE VIS's Open Practices posture and the
**Graphics Replicability Stamp** make reproducibility a visible dimension, not a courtesy: reviewers
routinely open the supplemental code, data, and video, and the TVCG camera-ready collects
open-practices disclosures. The goal is that a competent reader could rebuild your figures, rerun
your study analysis, and reach your conclusions.
## Evidence map
- Map each **figure, quantitative result, and study finding** to a **verifiable location** — a
section, a figure generated from logged data, or a script in the supplemental archive.
- For **techniques and rendering**, give enough of the algorithm, parameters, and environment
(including GPU/driver assumptions and tolerances) that a reader could re-implement or re-run.