A skill your agent uses 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…

MITAuto-check passed

Install Cav Supplementary

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cav-supplementary -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cav-supplementary --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/CAV-Skills/skills/cav-supplementary .claude/skills/cav-supplementary && 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
cav-supplementary
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
481 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • Deciding what belongs in a CAV (Computer Aided Verification) paper body versus its optional appendix and artifact
  • SKILL.md covers What goes where, The page-limit discipline, Double-anonymous supplementary… and Appendix architecture, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering the LNCS page limits

What it does

Cav Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

Its SKILL.md is about 1.2k 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

  • 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

Example prompts

  • “/cav-supplementary”

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

Cav Supplementary loads about 1.2k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 481 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 481 words, ~1,199 tokens.

Download SKILL.mdSave it as .claude/skills/cav-supplementary/SKILL.md (or your agent's skills folder).
name
cav-supplementary
description
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.

CAV Supplementary

Use this when assembling CAV supplementary material. The governing rule is strict and specific to CAV's format: a clearly marked appendix is allowed, but reviewers are not obliged to read it. So the paper must be judgeable from the body alone — anything a reviewer must see to accept lives inside the page limit, and the appendix and artifact only support it.

What goes where

ContentBody (within the page limit)Appendix / artifact
The problem, the technique, the main theoremYes—
Proof idea / sketch of the main resultYesFull formal proof
Supporting lemmasStatement + roleFull proofs
Headline benchmark comparison + resource limitsYesFull per-instance tables
Soundness/differential-check resultThe result + methodThe raw logs and witnesses
Benchmark set + selectionSummary + revisionThe full instance list, fetch scripts
Tool build/run instructionsA pointerREADME + scripts (artifact)
Proof certificates / witnessesA pointerThe certificates + a checker (artifact)

If a reviewer would need to open the appendix or artifact to know whether the theorem holds or the comparison is fair, the paper is mis-partitioned — move that content into the body.

The page-limit discipline

CAV's LNCS limits (Regular 18 pages; Short Tool / Application / Industrial 10 pages) exclude references and appendices, but the appendix is optional-to-read. Consequences:

  • Keep the main theorem's proof idea and the headline benchmark result with its resource limits in the body — they are decision-critical.
  • Move full formal proofs, per-instance benchmark tables, and extra property classes to the appendix or artifact with explicit forward references.
  • Do not use the appendix to smuggle in a result that would not fit — an argument that only closes with unread material reads as unreviewable, and the stage-1 filter is unforgiving.
Show full SKILL.md (205 more words)Show less

Double-anonymous supplementary rules (Regular and Application papers)

text
[No identity]   no authors, affiliations, acknowledgements, grants, cluster paths, or repo owners in
                the appendix or the review-time artifact; anonymize the tool/solver name
[Anonymized links] the artifact link points at an anonymizing host, not a personal repo or tool site
[Clean archive]  no .git history, .DS_Store, credentials, caches, or large irrelevant files
[Opens clean]    verify the archive unpacks and the README orients a reviewer in minutes on a fresh
                machine (the AEC smoke test mirrors this)

Tool and Industrial papers are not anonymized, so their supplementary material may name the tool — but should still be clean and self-orienting.

Appendix architecture

  • Order appendix sections to mirror the paper: main-theorem proof first, then lemma proofs, then full benchmark tables, then extra experiments — reviewers navigate by the claim, not by page number.
  • Keep each appendix section referenced from the body at least once; orphaned material is invisible under discretionary reading.
  • Confirm on the current CFP that appendices are inside the same PDF (not a separate upload) and that they do not count against the limit — this is the CAV norm but re-verify.

Vignette: splitting a technique-plus-tool paper

A Regular Paper with one main soundness theorem, three lemmas, and a large benchmark study: the body keeps the problem, the technique, the main theorem with its proof idea, the lemma statements, and the headline cactus/scatter comparison with the resource limits and the soundness cross-check; the appendix holds the full proofs; the artifact holds the pinned benchmark set, the per-instance logs, the seeds, the proof witnesses with a checker, and the reproduction scripts. Nothing decision-critical lives only in unread material, because the stage-1 reviewers judge from the body.

Output format

text
[Supplement status] ready / needs fixes / not ready
[Partition check] anything decision-critical outside the body? <none / move: what>
[Page limit] body within the category limit? appendix marked and referenced? yes/no
[Anonymity] appendix + review artifact clean of identity (Regular/Application)? passed/issues
[Body dependency] <what a reviewer can decide without opening the appendix/artifact>

© 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 CAV-Skills/skills/cav-supplementary of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Senior Computer Visionalirezarezvani/claude-skills28k1 repos~3.2kAutomated safety check: PassMIT
GCP Computesickn33/agentic-awesome-skills47k2 repos~2.6kAutomated safety check: PassMIT
Computer UseQwenLM/qwen-code28k—~3.6kAutomated safety check: PassApache-2.0

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Questions about Cav Supplementary

What does Cav Supplementary do?

A skill your agent uses 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…. Cav Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Cav Supplementary?

Cav Supplementary fits situations like: 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.

How do I install Cav Supplementary in Claude Code?

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

How do I install Cav Supplementary in Codex?

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

Can I use Cav Supplementary 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 cav-supplementary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cav-supplementary, .gemini/skills/cav-supplementary, .github/skills/cav-supplementary and .opencode/skills/cav-supplementary in your project.

What does Cav Supplementary need to run?

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

Does Cav Supplementary 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 Cav Supplementary 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 Cav Supplementary use?

Cav Supplementary 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 Cav Supplementary use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Cav Supplementary?

Skills that share tags, products or a category with Cav Supplementary: Ito Compute (affaan-m/ECC, 276k stars), Senior Computer Vision (davila7/claude-code-templates, 33k stars), Senior Computer Vision (alirezarezvani/claude-skills, 28k stars) and GCP Compute (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cav Supplementary?

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.