Individual skill

icdm-artifact-evaluation

Use when packaging code, data, and logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized, history-scrubbed repository that the PDF must cite for a triple-blind Research Track submission, how the single-blind Applied Track changes what may be revealed, and the smoke checks that make an ICDM artifact reviewer-usable.

ICDM-Skills/skills/icdm-artifact-evaluation/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
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.

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

# ICDM Artifact Evaluation

Package the artifact so a reviewer can actually use it, under ICDM's anonymity rules. ICDM does
not run a separate stamped artifact-badging track the way some venues do (verify per edition);
instead, the artifact's job is to be the **cited, anonymized evidence** that supports the paper.
Because the Research Track is triple-blind and traditionally offers no rebuttal, the repository
must be complete and anonymous *at submission time* — there is no later chance to reveal it.

## The repository the PDF must cite

- Reference the code/data repository **inside the submitted PDF**. A repository not cited at
  submission is invisible to reviewers for the entire cycle (no rebuttal to add it later).
- For the Research Track, the link must resolve to an **anonymized** location, not a named
  account, and the contents must reveal no identity.
Back to top