cav-reproducibility
Use when strengthening CAV (Computer Aided Verification) reproducibility, covering benchmark provenance (SV-COMP/SMT-COMP/HWMCC/VNN-COMP set revisions), pinned tool and baseline versions, resource limits and hardware, seeds for randomized/portfolio solvers, checkable proof witnesses/certificates for soundness claims, and consistency between the paper's tables and the artifact.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cav-reproducibility --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CAV Reproducibility Use this before submission and again before camera-ready. In computer-aided verification, reproducibility is not a courtesy — a benchmark result is only meaningful relative to a **fixed benchmark set, pinned tool versions, and a stated resource budget**, and a soundness claim is only credible if it ships a **checkable witness**. The goal is that a competent reader could rerun your evaluation and re-check your correctness claims and reach your conclusions. ## Evidence map - Map each theorem, technique claim, and reported benchmark number to a **verifiable location** — a proof (body or appendix), a script in the artifact, or a table regenerated from logged runs. - For techniques, give enough of the algorithm, parameters, and encoding that a reader could re-implement or rerun it. - For benchmark evaluations, report the exact **benchmark set and revision**, the **baseline tools and versions**, the **resource limits** (per-instance time and memory), the **hardware and core count**, and the **number of runs**. - For soundness claims, emit a **certificate/witness** (unsat proof, DRAT, an SV-COMP-style witness, an Isabelle/Coq script) and an independent checker — a ba
- Evidence map
- The reproducibility failure modes CAV reviewers know
- Provenance and configuration pinning
- Degrees of reproducibility (state the one you achieved)
- Vignette: a portfolio-solver evaluation
- Consistency and camera-ready pass
- Output format
What does the cav-reproducibility skill do?
Use when strengthening CAV (Computer Aided Verification) reproducibility, covering benchmark provenance (SV-COMP/SMT-COMP/HWMCC/VNN-COMP set revisions), pinned tool and baseline versions, resource limits and hardware, seeds for randomized/portfolio solvers, checkable proof witnesses/certificates for soundness claims, and consistency between the paper's tables and the artifact.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cav-reproducibility --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.