Agent skill · Code Review & Quality

socc-artifact-evaluation

Use when packaging an ACM SoCC artifact for the ACM Artifact Review and Badging scheme (Artifacts Available, Evaluated Functional and Reusable, Results Reproduced), covering what a cloud-systems evaluator checks first, reproducing tail-latency and cost results on a testbed, DOI-issuing archives, and the fact that whether SoCC runs a dedicated artifact-evaluation track for a given edition must be verified.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill socc-artifact-evaluation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: SoCC-Skills/skills/socc-artifact-evaluation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# SoCC Artifact Evaluation Use this for artifact preparation. SoCC — as an ACM venue — follows the **ACM Artifact Review and Badging** scheme where an edition offers evaluation. **First, verify whether the current SoCC edition runs a dedicated artifact-evaluation track, and which badges it offers** — unlike some sibling systems flagships that run a standing AE process, SoCC's artifact track and badge set are decided per edition and are **待核实** as of 2026-07-09. The advice below applies once the edition's call confirms evaluation. Two things to internalize: badges are earned by evaluators actually **reproducing** your cloud results, and the review artifact (anonymized, for the paper's reviewers) is not the same deliverable as the badge artifact (de-anonymized, permanently archived). ## The ACM badges (verify the current set and names) | Badge | What it certifies | What earns it for a cloud paper | |---|---|---| | Artifacts Available | The artifact is permanently, publicly retrievable | Deposit in a DOI-issuing archive (Zenodo, figshare, Software Heritage) | | Artifacts Evaluated - Functional | The artifact runs and does what the paper says | A documented testbed setup, a workload re

What's inside
Steps it walks through
  1. The ACM badges (verify the current set and names)
  2. What a cloud-systems evaluator opens first
  3. Packaging plan
  4. Anonymized review artifact vs. badge artifact
  5. Worked vignette: packaging an autoscaler + trace study
  6. Calibration
  7. Output format
More from Awesome-Journal-Skills
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About this skill
What does the socc-artifact-evaluation skill do?

Use when packaging an ACM SoCC artifact for the ACM Artifact Review and Badging scheme (Artifacts Available, Evaluated Functional and Reusable, Results Reproduced), covering what a cloud-systems evaluator checks first, reproducing tail-latency and cost results on a testbed, DOI-issuing archives, and the fact that whether SoCC runs a dedicated artifact-evaluation track for a given edition must be verified.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill socc-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.

Keep going