Individual skill
imc-reproducibility
Use when strengthening ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool versions), dataset release with schema, honest reproducibility for a moving Internet, the Replicability Track, and consistency between what the paper claims and what the released data contains.
IMC-Skills/skills/imc-reproducibility/SKILL.md
Source commit 932eb23331721b16e967c59f093781be1928b498
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- 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)
- 1,410
- 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.
Browse files
SKILL.mdcore · 5,568 bytes
Read excerpt
# IMC Reproducibility
Use this before submission and again before camera-ready. IMC treats availability and
reproducibility as scored dimensions, not courtesies: the submission carries an
**artifact-availability declaration**, accepted papers are shepherded to deliver it, and IMC runs a
dedicated **Replicability Track**. The goal is that a competent reader could rebuild your analysis
from the released data — and re-run your *method* to gather comparable new data — and reach your
conclusions.
## The moving-Internet reality
Measurement differs from lab science: **you cannot re-collect the same data**, because the network
changes between runs. So reproducibility at IMC splits in two:
