Agent skill

Ppopp Artifact Evaluation

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when packaging a PPoPP artifact for the post-acceptance, CGO-shared artifact-evaluation track, covering PPoPP's specific badge policy (Functional or Reusable plus Results…

MITAuto-check passed

Install Ppopp Artifact Evaluation

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-artifact-evaluation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppopp-artifact-evaluation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/PPoPP-Skills/skills/ppopp-artifact-evaluation .claude/skills/ppopp-artifact-evaluation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ppopp-artifact-evaluation
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
469 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when packaging a PPoPP artifact for the post-acceptance, CGO-shared artifact-evaluation track, covering PPoPP's specific badge policy (Functional or Reusable plus Results…

  • Packaging a PPoPP artifact for the post-acceptance
  • SKILL.md covers PPoPP's badge policy (verify…, What makes a parallel artifact…, What evaluators open first and Packaging plan, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • CGO-shared artifact-evaluation track

What it does

Ppopp Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging a PPoPP artifact for the post-acceptance, CGO-shared artifact-evaluation track, covering PPoPP's specific badge policy (Functional or Reusable plus Results Reproduced, no "Results Replicated"; Available granted by the publisher from a deposit link), reproducible parallel measurements on evaluators' hardware, and the separate AE deadline.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Packaging a PPoPP artifact for the post-acceptance
  • CGO-shared artifact-evaluation track
  • Covering PPoPPs specific badge policy (Functional
  • Reusable plus Results Reproduced

Example prompts

  • “Results Replicated”
  • “/ppopp-artifact-evaluation”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ppopp Artifact Evaluation loads about 1.5k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 469 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 469 words, ~1,451 tokens.

Download SKILL.mdSave it as .claude/skills/ppopp-artifact-evaluation/SKILL.md (or your agent's skills folder).
name
ppopp-artifact-evaluation
description
Use when packaging a PPoPP artifact for the post-acceptance, CGO-shared artifact-evaluation track, covering PPoPP's specific badge policy (Functional or Reusable plus Results Reproduced, no "Results Replicated"; Available granted by the publisher from a deposit link), reproducible parallel measurements on evaluators' hardware, and the separate AE deadline.

PPoPP Artifact Evaluation

Use this for the artifact track. PPoPP runs a post-acceptance artifact evaluation with its own deadline (PPoPP 2026: artifact submission 17 November 2025, notification 5 January 2026), separate from the camera-ready and shared in culture with co-located CGO. Two things to internalize: PPoPP has a distinctive badge policy, and the hard part of a parallel artifact is that the results must reproduce on someone else's hardware, where core counts and topology differ from yours.

PPoPP's badge policy (verify the current set each cycle)

BadgeColourWhat it certifiesHow it is awarded
Artifacts AvailablegreenThe artifact is publicly, permanently retrievableBy the publisher, from a deposited-artifact link — no formal audit
Artifacts Evaluated — Functionallighter redThe artifact runs, is documented, consistent, complete, exercisableAE committee runs it
Artifacts Evaluated — Reusabledarker redFunctional plus quality that exceeds minimal functionality; carefully documented and structured for reuseAE committee runs it
Results Reproduceddarker blueThe paper's main results were obtained by the evaluators (within tolerance)AE committee re-runs and matches

Two PPoPP-specific facts to get right:

  • The committee awards one of Functional / Reusable (Reusable is the higher bar) plus possibly Results Reproduced.
  • PPoPP does not award the lighter-blue "Results Replicated" badge — do not target or claim it. Available is not evaluated; it is publisher-granted from a link, so it is the cheapest badge to secure and worth doing regardless.

What makes a parallel artifact hard

An evaluator does not have your machine. A speedup that depended on your 96-core dual-socket node will not reproduce on a reviewer's 16-core laptop, and "Results Reproduced" requires agreement within a stated tolerance. Design for portability of the conclusion, not the absolute numbers:

text
[Hardware doc]  state the exact machine you used (CPU/GPU model, sockets, cores, NUMA, memory,
                interconnect) and the minimum config on which the trend still holds
[Scaled runs]   provide a small/fast configuration whose *shape* (linear region, saturation)
                matches the paper, so an evaluator can reproduce the claim on modest hardware
[Tolerance]     state explicitly what "reproduced" means for your numbers (e.g. within 10%, or
                "monotone speedup to the machine's core count")
[Determinism]   fix seeds; pin threads; document warm-up; make runs repeatable
[GPU]           document driver/CUDA/ROCm versions and the GPU class needed; provide a CPU
                fallback path where possible
Show full SKILL.md (188 more words)Show less

What evaluators open first

Claim typeFirst thing inspectedCommon failure caught
A concurrent structureREADME + a one-command throughput runOnly builds on the authors' toolchain; hardcoded core count
A runtime/schedulerThe script that reproduces a scaling figureNumbers in the PDF that no script regenerates
A GPU techniqueBuild + a small kernel runRequires a specific GPU with no fallback; missing driver versions
A parallel algorithmBuild + a scaled input runData missing; topology assumptions undocumented

Assume a bounded time budget on a clean machine; make the first ten minutes succeed.

Packaging plan

text
[Container]   a Dockerfile or pinned environment (spack/conda/lockfile); avoid manual 40-step builds
[README]      one-screen orientation: what it is, how to build, how to run the demo, how to
              reproduce each figure, expected runtime, and the hardware each run needs
[Mapping]     an explicit table: paper claim/figure -> script -> expected result (+ tolerance)
[Scaling kit] scripts that sweep thread/core count and emit the paper's curve on the eval machine
[Provenance]  exact hardware used, compiler/flags, driver versions, seeds, pinning policy
[License]     an OSI-approved license so the artifact can be badged Reusable
[Archive]     deposit in a DOI-issuing repository (Zenodo/figshare/Software Heritage) for Available

Anonymized review artifact vs. badge artifact

  • At paper submission: the artifact (if attached for reviewers) is anonymized — no owner strings, cluster/account paths, lab names, or identifying links.
  • At the AE track (post-acceptance): the de-anonymized, licensed, DOI-archived version is what evaluators badge and the camera-ready cites.

Calibration

  • The AE deadline is after acceptance and independent of the camera-ready; do not conflate them.
  • Confirm each cycle whether AE is run jointly with CGO, the exact badge set and colours, and whether Available is auto-granted by the publisher (as verified) or handled by the committee.

Output format

text
[Target badges] Available (publisher) / Functional or Reusable / Results Reproduced  (NOT Replicated)
[Artifact role] anonymized review artifact / public badge artifact
[Portability] scaled config whose trend matches the paper on modest hardware? tolerance stated?
[Ten-minute test] build + demo succeeds on a clean machine? yes/no
[Claim mapping] each figure -> script -> expected result (+ tolerance) present? yes/no
[Fixes before upload] <ordered list>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in PPoPP-Skills/skills/ppopp-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Ppopp Artifact Evaluation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ppopp Artifact Evaluation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ppopp Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
Artifacts Buildernexu-io/open-design100k—~347Automated safety check: PassApache-2.0
Ccs Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills1.2k—~969Automated safety check: PassMIT
Micro Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
Oopsla Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.1kAutomated safety check: PassMIT

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Questions about Ppopp Artifact Evaluation

What does Ppopp Artifact Evaluation do?

A skill your agent uses when packaging a PPoPP artifact for the post-acceptance, CGO-shared artifact-evaluation track, covering PPoPP's specific badge policy (Functional or Reusable plus Results…. Ppopp Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging a PPoPP artifact for the post-acceptance, CGO-shared artifact-evaluation track, covering PPoPP's specific badge policy (Functional or Reusable plus Results Reproduced, no "Results Replicated"; Available granted by the publisher from a deposit link), reproducible parallel measurements on evaluators' hardware, and the separate AE deadline.

When should I use Ppopp Artifact Evaluation?

Ppopp Artifact Evaluation fits situations like: packaging a PPoPP artifact for the post-acceptance; CGO-shared artifact-evaluation track; covering PPoPPs specific badge policy (Functional; reusable plus Results Reproduced.

How do I install Ppopp Artifact Evaluation in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-artifact-evaluation -a claude-code`. Or copy the skill folder (PPoPP-Skills/skills/ppopp-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ppopp-artifact-evaluation in your project. Claude Code loads it when a task matches its description.

How do I install Ppopp Artifact Evaluation in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-artifact-evaluation -a codex`. Or copy the skill folder (PPoPP-Skills/skills/ppopp-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ppopp-artifact-evaluation in your project. Codex loads it when a task matches its description.

Can I use Ppopp Artifact Evaluation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ppopp-artifact-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ppopp-artifact-evaluation, .gemini/skills/ppopp-artifact-evaluation, .github/skills/ppopp-artifact-evaluation and .opencode/skills/ppopp-artifact-evaluation in your project.

What does Ppopp Artifact Evaluation need to run?

SKILL.md names no scripts, command-line tools or credentials: Ppopp Artifact Evaluation is instructions for the agent only.

Does Ppopp Artifact Evaluation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ppopp Artifact Evaluation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ppopp Artifact Evaluation use?

Ppopp Artifact Evaluation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ppopp Artifact Evaluation use?

About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ppopp Artifact Evaluation?

Skills that share tags, products or a category with Ppopp Artifact Evaluation: Arize Evaluator (github/awesome-copilot, 40k stars), Artifacts Builder (nexu-io/open-design, 100k stars), Ccs Artifact Evaluation (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Micro Artifact Evaluation (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ppopp Artifact Evaluation?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.