Agent skill

ieeesp-artifact-evaluation

Use when preparing an IEEE S&P (Oakland) artifact-evaluation submission after acceptance, including choosing among the Available, Functional, and Results Reproduced badges, DOI-backed deposits, packaging exploits and malware-adjacent code responsibly, and scoping what evaluators can actually re-run.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieeesp-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: 5 KB
Bundled scripts: none
Path: IEEE-SP-Skills/skills/ieeesp-artifact-evaluation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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

# IEEE S&P Artifact Evaluation Use this once a paper is accepted and the team is deciding whether and how to enter artifact evaluation. At S&P, AE is a **post-acceptance opt-in** run by a separate committee against three badges (sp2026.ieee-security.org /cfartifacts.html, checked 2026-07-08); the 2027 schedule and any badge changes were unpublished at check time — 待核实 on the current AE pages. ## The three badges are three different projects | Badge | What it certifies | The actual work | |---|---|---| | **Available** | Artifact permanently deposited with a DOI (Zenodo, FigShare, Dryad — not a lab webpage or GitHub alone) | Deposit hygiene: license, README, versioned snapshot | | **Functional** | Evaluators exercised the artifact per your instructions | Environment capture + scripted entry points that run elsewhere | | **Results Reproduced** | Evaluators regenerated the paper's key results | Claim-to-command map with tolerances and runtimes | Pick badges by what an outsider can genuinely re-run. A measurement study of live infrastructure can honestly target Available (data + analysis code) even when Reproduced is impossible; overclaiming a badge wastes the committee's goodwill and y

What's inside
Steps it walks through
  1. The three badges are three different projects
  2. Security artifacts have handling constraints others do not
  3. Packaging for a stranger with a deadline
  4. Process notes
  5. Failure modes specific to this venue
  6. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the ieeesp-artifact-evaluation skill do?

Use when preparing an IEEE S&P (Oakland) artifact-evaluation submission after acceptance, including choosing among the Available, Functional, and Results Reproduced badges, DOI-backed deposits, packaging exploits and malware-adjacent code responsibly, and scoping what evaluators can actually re-run.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieeesp-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 984 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