imc-artifact-evaluation
Use when preparing an ACM IMC artifact for release, covering the artifact-availability declaration, post-acceptance availability shepherding, DOI-issuing dataset archives, documenting measurement provenance and vantage points, Community Contribution Award eligibility, and the difference between the anonymized review artifact and the public release.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-artifact-evaluation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# IMC Artifact Evaluation Use this for IMC's artifact and dataset story. Unlike venues with a separate badge-granting committee, IMC's mechanism is centered on an **availability declaration** at submission plus **shepherding after acceptance** to ensure the promised data, code, or platform actually becomes available. The venue-defining incentive is the **Community Contribution Award**, which exists to honor a released dataset, tool, or open platform. Whether IMC also awards formal ACM reproducibility badges in a given edition is **待核实** — confirm on the current call. ## Two artifacts, two audiences - **Review artifact (at submission):** anonymized for the reviewers — no owner strings, testbed or AS identifiers, probe-account IDs, cluster paths, or lab-domain links. It backs the paper's claims during double-blind review. - **Public release (after acceptance):** de-anonymized, licensed, permanently archived. This is what the shepherd checks, what the camera-ready cites, and what the Community Contribution Award evaluates. ## The availability declaration, delivered At submission you declared **full / partial / none**. After acceptance, the shepherd holds you to it: | Declared | What t
- Two artifacts, two audiences
- The availability declaration, delivered
- What a strong measurement dataset release contains
- Reproducibility for a moving Internet
- Community Contribution Award eligibility
- Worked vignette: releasing a longitudinal scan dataset
- Calibration
- Output format
What does the imc-artifact-evaluation skill do?
Use when preparing an ACM IMC artifact for release, covering the artifact-availability declaration, post-acceptance availability shepherding, DOI-issuing dataset archives, documenting measurement provenance and vantage points, Community Contribution Award eligibility, and the difference between the anonymized review artifact and the public release.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-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.