Use when revising a CAV (Computer Aided Verification) paper for a precise verification contribution on the first page, an explicit soundness/completeness statement, theorem-and-proof discipline in the LNCS page budget, fair benchmark claims, honest scope and limits, and double-blind wording for the anonymized categories.
SkillScore86Maintained
Automatic
◆Writing & Editing pack
Last verified 8/15/2026
What it changes
Passed 19 of 22 test cases with the skill, and 11 of 22 without it.
Without skill50%
With skill86%
Checks it passed that the model alone missed
Includes the bracketed section header [Claim audit].
Uses the [Scope fix] block to state explicit bounds.
Presents the analysis within the [Claim audit] section.
and 15 more in the full report
10 fixed9 passed either way1 still failing2 broke
Pass-rate lift
+36 pp
Tokens
+7%
Agent turns
0%
Response time
-41%
Model gemini-3.6-flashMeasured 8/15/2026v119 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 10
Prompt
What four elements belong in the correctness and scope discipline checklist when presenting a formal property in CAV?
What was checked, without and with the skill
Checked
Without skill
With skill
Includes explicit items for Guarantee, Proof, Checkability, and Scope.
Missed
Passed
Mentions checkability through reviewer-verifiable witnesses or certificates where possible.
Missed
Passed
case-18 · gemini-3.6-flash · 8/15/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md78 linessingle file
CAV Writing Style
Use this when revising the main paper. CAV papers are Springer LNCS chapters read by verification
researchers, so they need a precise verification contribution stated on the first page and a
formal guarantee a reviewer can check. The failure this skill prevents is a technically fine
paper that reads like a systems demo or a heuristic with a benchmark table but no stated property.
Revision rules
Lead with the verification contribution and its guarantee: the problem (what property, of what
system), why current methods fall short, the contribution (technique and/or tool), what is
formally guaranteed (soundness, completeness, an equisatisfiability/refinement claim), the
benchmark evidence, and the scope.
State the formal claim precisely. Name the property, the assumptions, and the theorem. A paper
whose "contribution" is only "faster on benchmarks" with no guarantee reads as a tool note, not a
Regular Paper.
Give proofs their place. Key proofs go in the body; long proofs may go to a clearly-marked
appendix — but reviewers are not obliged to read appendices, so the proof idea must be in the
body (see cav-supplementary).
Make benchmark claims falsifiable. Every empirical claim names the benchmark set (with
revision), the baseline tools and versions, and the resource limits (time/memory) — adjectives
like "significantly faster" without these are not evidence (see cav-experiments).
State scope and limits as your own, not as a closing apology. Say which logics, system sizes,
or property classes the method covers and where it stops. Over-claimed generality is the fastest
way to lose a verification reviewer's trust.
Maintain double-blind wording for Regular and Application papers: anonymize self-citations,
the tool/solver name, benchmark paths, acknowledgements, and repository links. (Tool and
Industrial papers are not anonymized.)
Verification-paper skeleton
Section
Job it must do
Common failure
Intro
Problem, inadequacy, contribution, the guarantee, benchmark preview, scope — first page
Leads with "SMT/model checking is important," not a precise problem
Preliminaries
The formal setting: logic, semantics, the property class
Notation dumped without motivating the model
Approach
The technique/algorithm, stated so it can be re-implemented
Algorithm described too thinly to reproduce
Correctness
The theorem(s) and proof idea; soundness/completeness
A "clearly sound" claim with no argument
Evaluation
Benchmarks, baselines, resource limits, per-instance data
"Strong results" with no set revision or limits
Related work
Delta-first positioning against the verification literature
Use when deciding what belongs in a CAV (Computer Aided Verification) paper body versus its optional appendix and artifact, covering the LNCS page limits, the rule that reviewers are not obliged to read the appendix so decision-critical content stays in the body, where full proofs and benchmark tables live, and double-anonymous supplementary material for the anonymized categories.