Skip to content
Back to skills

Mobisys Artifact Evaluation

ASecurity

Use when packaging a MobiSys artifact for the Artifact Evaluation Committee — choosing among the three independent ACM badges (Available, Evaluated–Functional, Results Reproduced), building the workflow scripts the single-blind AEC runs on its own machines, and providing a hardware-optional path for evaluators who lack the exact phone, wearable, or board.

  • 3 stars
  • 0 votes
  • 0 copies
  • 3 views
  • Added September 12, 2026
ai-agentsgogit

Security analysis

A100/100

Scanned September 12, 2026

npx -y skills add thedixitjain/the-mega-skill-library --skill mobisys-artifact-evaluation --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Mobisys Artifact Evaluation?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Mobisys Artifact Evaluation
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/thedixitjain-mobisys-artifact-evaluation/badge)](https://www.skillsdirectory.com/skills/thedixitjain-mobisys-artifact-evaluation)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: mobisys-artifact-evaluation
description: "Use when packaging a MobiSys artifact for the Artifact Evaluation Committee — choosing among the three independent ACM badges (Available, Evaluated–Functional, Results Reproduced), building the workflow scripts the single-blind AEC runs on its own machines, and providing a hardware-optional path for evaluators who lack the exact phone, wearable, or board."
category: data-science-and-ml
source_repo: brycewang-stanford/Awesome-Journal-Skills
source_path: "MobiSys-Skills/skills/mobisys-artifact-evaluation/SKILL.md"
source_url: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/MobiSys-Skills/skills/mobisys-artifact-evaluation/SKILL.md
---


# MobiSys Artifact Evaluation

Use this for the MobiSys artifact submission. MobiSys has a strong, **script-first** artifact
culture: the single-blind AEC runs the authors' workflow scripts on the reviewers' own
systems, so an artifact that only works on your bench is not an artifact.

## The three ACM badges

Authors may seek one, two, or all three independent badges; passing badges are printed on the
paper and recorded in the ACM DL:

| Badge | What it certifies | What the AEC does |
|---|---|---|
| Artifacts Available | The artifact is publicly archived at a stable location | Checks the archival link and license |
| Artifacts Evaluated — Functional | The artifact runs and does what the paper says | Runs your workflow scripts on the AEC's machines |
| Results Reproduced | Key paper results are reproduced independently | Regenerates headline numbers/figures from your package |

Choose badges as **claim calibration**: *Available* is a release commitment; *Functional*
needs a runnable package; *Results Reproduced* needs the headline device results to come back
on machines you do not control — the hardest badge for on-device work.

## Artifact plan

- Decide what evidence supports each badge: source, build scripts, model files, workload
  traces, and the measurement/plotting pipeline.
- Provide a **top-level workflow script** and a README that orients an evaluator in one minute:
  environment, dependencies, one command to smoke-test, one to reproduce a headline figure,
  expected outputs, and runtime.
- Anonymize repository history, paths, screenshots, notebook metadata, license headers, and
  device serial numbers for the review round; de-anonymize only at camera-ready.
- Pin framework, runtime, and model checkpoint hashes; on-device results drift across
  framework minor versions.

## The hardware-optional path (the MobiSys-specific move)

On-device artifacts fail *Functional* most often because the evaluator lacks the exact phone,
wearable, or board. Design for that from the start:

```text
Hardware-optional package layout:
  /device      full pipeline for the exact hardware (Results Reproduced target)
  /emulated    downscaled or emulator path an evaluator can run without the device
  /logs        recorded runs so plots regenerate even if nothing executes
  /README      states which claims each path can and cannot reproduce
```

State plainly which headline numbers the emulated path *cannot* reproduce (typically absolute
energy and thermal behavior) so the AEC grades the right badge instead of failing the whole
package.

## What AEC reviewers open first

- The README and the top-level workflow script — if these do not run cleanly, the badge stalls
  regardless of how good the system is.
- The one-command smoke test — make it fast and hermetic.
- The plotting pipeline for a headline figure — emit figures directly from logged results so
  the paper numbers and artifact numbers cannot drift.

## Calibration anchors

- Artifact evaluation is single-blind and separate from paper review; the badge names and the
  artifact deadline are cycle-specific — verify against the current Artifact Evaluation page
  rather than past years.
- Absolute on-device energy and latency are the least portable results; scope
  *Results Reproduced* claims to what survives on another evaluator's hardware.

## Output format

```text
[Badges sought] Available / Functional / Results Reproduced
[Package contents] <source/scripts/models/traces/plotting>
[Hardware-optional path] present? which claims it cannot reproduce
[Anonymity risks] <paths/screenshots/serials/repo owners>
[Reproduction level] turnkey / scripted / descriptive / weak
[Fixes before upload] <ordered list>
```

---

**Source:** [`brycewang-stanford/Awesome-Journal-Skills`](https://github.com/brycewang-stanford/Awesome-Journal-Skills) → `MobiSys-Skills/skills/mobisys-artifact-evaluation/SKILL.md`

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.