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Oopsla Artifact Evaluation

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oopsla-artifact-evaluation

Oopsla Artifact Evaluation is an Agent Skill for documents published in the brycewang-stanford/Awesome-Journal-Skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Use when packaging an artifact for an accepted OOPSLA paper under the SPLASH artifact-evaluation track — surviving the kick-the-tires phase, earning the Functional and Reusable badges, depositing a Zenodo snapshot with a DOI for Available, and aligning artifact claims with the paper's Data-Availability Statement.

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/OOPSLA-Skills/skills/oopsla-artifact-evaluation/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/oopsla-artifact-evaluation, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

OOPSLA Artifact Evaluation

SPLASH runs a unified artifact-evaluation track for its research papers; the 2026 edition used a two-phase process — an opening kick-the-tires pass where evaluators check the artifact builds and starts at all, then the full evaluation — awarding Functional (documented, complete enough to exercise), Reusable (Functional plus organization and documentation that support reuse by others), and Available (a snapshot deposited on Zenodo with a DOI), with Available strongly encouraged for every passing artifact absent licensing or privacy constraints. Per-cycle dates and submission mechanics live on the current track page (待核实 each cycle).

Design for the kick-the-tires failure mode

Most artifacts that miss a badge die in the first hour of a stranger's time: a build that assumes your machine. The discipline is to treat the evaluator as a hostile fresh VM.

Golden-path contract (put this at the top of README.md):
  1. Requirements: OS/arch, RAM, disk, expected wall-clock time
  2. One command to build (container image or pinned toolchain)
  3. One command for a 10-minute smoke result mapped to a named claim
  4. One command per paper table/figure, each with expected output range
  5. What may legitimately differ on other hardware, and by how much

Dry-run the contract yourself on a machine that has never seen the project — laptop-hosted paths, private registries, and license-gated dependencies are the classic silent breakers.

Badge strategy

BadgeWhat actually earns itCheap mistakes that forfeit it
FunctionalInventory + docs sufficient to exercise the artifact; results consistent with the paperMissing inputs; undocumented flags; claims that need hardware you didn't disclose
ReusableClear structure, extension points, explained internals — a stranger could build on itA working but opaque tarball; hard-coded paths; no guidance beyond replication
AvailableZenodo (or equivalent archival) deposit with DOIGitHub-only "archive" (mutable, not archival); DOI minted after the camera-ready statement was frozen

Reusable is where OOPSLA-style artifacts differentiate: language implementations, calculi mechanizations, and corpus studies are exactly the artifacts other groups extend, so structure the repository as a tool, not as a paper appendix.

Claim-to-artifact mapping

Evaluators read the paper's claims against what the artifact demonstrates. Build the mapping explicitly and reuse it in three places: the artifact README, the evaluation submission form, and the paper's Data-Availability Statement (oopsla-submission requires the statement; oopsla-camera-ready updates it with the final DOI).

  • Every quantitative table/figure → a script that regenerates it.
  • Every qualitative claim ("scales to", "handles all of") → a named test or corpus directory that witnesses it.
  • Every claim the artifact cannot support (proprietary benchmark, cluster scale) → an explicit exclusion with justification, declared up front rather than discovered by the evaluator.

Scope and timing notes

  • Artifact evaluation is tied to acceptance rounds; papers accepted in Round 1 and Round 2 flow through the process in different windows — read the track page for the round you were accepted in.
  • Zenodo deposits are versioned: mint the DOI early, then publish updated versions as evaluation feedback lands; the DOI in the published article should resolve to the final version.
  • Anonymity is over at this stage, but the paper's review-time supplement and the artifact must not contradict each other (oopsla-supplementary).

Output format

[Phase readiness] kick-the-tires dry-run: pass / failures listed
[Badge targets] Functional / +Reusable / +Available, with gaps per badge
[Claim map] <n claims mapped / m unmapped — list unmapped>
[Deposit] Zenodo DOI status + version plan
[Statement sync] Data-Availability Statement consistent: yes/no