Individual skill

fse-reproducibility

Use when strengthening ESEC/FSE reproducibility and open-science evidence, covering the Data Availability statement, anonymized-but-runnable artifacts, provenance pinning for mining and LLM studies, claim-to-evidence mapping, honest degrees of reproducibility, and consistency between what the paper says and what the artifact contains.

FSE-Skills/skills/fse-reproducibility/SKILL.md

Read pinned source

Source commit 932eb23331721b16e967c59f093781be1928b498

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
Yes
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)
1,403
Repository last updated
Sep 27, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# FSE Reproducibility

Use this before submission and again before camera-ready. FSE's open-science posture makes
reproducibility a scored dimension, not a courtesy: the double-anonymous review already expects an
inspectable artifact, and the PACMSE camera-ready expects a permanent one. The goal is that a
competent reader could rebuild your evidence and reach your conclusions.

## Evidence map

- Map each research-question answer, technique claim, and reported number to a **verifiable
  location** — a paper section, a table generated from logged data, or a script in the artifact.
- For techniques, give enough of the algorithm, parameters, and environment that a reader could
  re-implement or re-run it.
- For empirical studies, report subjects and their selection, data collection, preprocessing,
Back to top