A skill your agent uses when positioning a TACAS (ETAPS) submission against the verification literature across TACAS, CAV, VMCAI, FMCAD, SPIN, and journals (STTT, FMSD), writing delta-first contrast…

MITAuto-check passedResearch & Science

Install Tacas Related Work

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill tacas-related-work -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills tacas-related-work --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/TACAS-Skills/skills/tacas-related-work .claude/skills/tacas-related-work && 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
tacas-related-work
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
519 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when positioning a TACAS (ETAPS) submission against the verification literature across TACAS, CAV, VMCAI, FMCAD, SPIN, and journals (STTT, FMSD), writing delta-first contrast…

  • Positioning a TACAS (ETAPS) submission against the verification literature across TACAS
  • SKILL.md covers Positioning checks, Verification literature lanes, Delta-first positioning vignette and Concurrent and prior-version…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Writing delta-first contrast against the nearest tools and algorithms

What it does

Tacas Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a TACAS (ETAPS) submission against the verification literature across TACAS, CAV, VMCAI, FMCAD, SPIN, and journals (STTT, FMSD), writing delta-first contrast against the nearest tools and algorithms, crediting the benchmarks and solvers you build on, keeping self-citations anonymous for double-blind research papers, and handling competition-tool and prior-version overlap.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Literature review, Positioning and messaging and Citation management. 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

  • Positioning a TACAS (ETAPS) submission against the verification literature across TACAS
  • Writing delta-first contrast against the nearest tools and algorithms
  • Crediting the benchmarks and solvers you build on
  • Keeping self-citations anonymous for double-blind research papers

Example prompts

  • “/tacas-related-work”

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

Tacas Related Work loads about 1.3k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 519 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 519 words, ~1,344 tokens.

Download SKILL.mdSave it as .claude/skills/tacas-related-work/SKILL.md (or your agent's skills folder).
name
tacas-related-work
description
Use when positioning a TACAS (ETAPS) submission against the verification literature across TACAS, CAV, VMCAI, FMCAD, SPIN, and journals (STTT, FMSD), writing delta-first contrast against the nearest tools and algorithms, crediting the benchmarks and solvers you build on, keeping self-citations anonymous for double-blind research papers, and handling competition-tool and prior-version overlap.

Use this to audit novelty and eligibility. TACAS reviewers are close to the verification literature and to the tools it produces, so they expect to see where your algorithm or tool sits relative to the nearest prior work — as a delta, not a catalog. Reopen the current call for dual-submission, anonymity, and prior-publication rules before advising authors.

Positioning checks

  • Separate the algorithmic novelty from the engineering. What is new: a new decision procedure, a new encoding, a new abstraction, a tool that first makes a technique usable, or a case study that first applies it at scale? Name it precisely.
  • Cover the verification venues. TACAS reviewers expect the flagships and the journals, not just the papers nearest your method (see the table). Missing the obvious CAV/VMCAI/FMCAD predecessor reads as unaware.
  • Credit what you build on. If you use an SMT solver, a benchmark suite, or a model-checking backend, cite it — TACAS is a tool-and-algorithm community and reviewers notice uncredited infrastructure or benchmarks.
  • Write delta-first. Each closely related tool/algorithm gets one sentence on what it did and one on what you do differently (a stronger guarantee, a new class handled, an order-of-magnitude scaling, a first working tool) — not a summary.
  • Anonymity by category. For a double-blind research paper, cite your own prior work in the third person and never link reviewers to an identity-revealing preprint or repository. A tool / case-study paper is single-blind and cites itself normally.
  • Declare overlap with any prior workshop version, SV-COMP competition paper, or concurrent submission; do not re-submit archival work as new.
Show full SKILL.md (260 more words)Show less

Verification literature lanes

LaneTypical venuesWhat TACAS reviewers check
Tools & algorithms (home)TACASWhether the nearest tool/algorithm predecessor is compared or distinguished
Broad formal methodsCAVWhether the closest FM-flagship technique is credited and contrasted
Verification / abstract interpretation foundationsVMCAIWhether the foundational predecessor is engaged
Hardware / SAT-centric FMFMCADWhether the relevant hardware/SAT lineage is acknowledged
Explicit-state / software model checkingSPINWhether the model-checking predecessor is cited
JournalsSTTT, FMSDWhether deeper journal treatments on the topic are engaged
CompetitionsSV-COMP, VerifyThisWhether shared benchmarks / competing verifiers are credited

A bibliography that cites only your own subarea suggests the delta is smaller than claimed; one that reaches the flagships, journals, and competitions signals command of the field.

Delta-first positioning vignette

Suppose the paper presents a new tool for bounded refinement checking. Its nearest neighbors: a CAV algorithm that requires linearization-point annotations (yours is annotation-free), a TACAS tool that enumerates histories without reduction (yours uses an SMT reduction and scales further), and a journal study characterizing the problem (no tool). The novelty sentence should name all three contrasts — annotation-free where prior work needed annotations, an SMT reduction where prior work enumerated, and a working, benchmarked tool where the journal offered only characterization.

Concurrent and prior-version judgment calls

text
[SV-COMP competition paper]  your tool's competition entry is often citable but archival-limited;
                             state what the TACAS paper adds beyond the competition contribution
[Concurrent arXiv work]      cite neutrally, state the technical difference, avoid priority claims;
                             keep the citation anonymous for a double-blind research paper
[Prior workshop version]     usually citable; declare the overlap and state what the full paper adds
[Prior tool release]         crediting your own earlier tool version is fine (single-blind tool paper);
                             for a research paper, keep it third-person

Eligibility red flags

  • Substantial text overlap with a published paper by the same authors (self-plagiarism risk).
  • A "new" tool paper that re-reports a prior release's benchmarks without a new capability.
  • Citations only to non-verification venues, signaling the paper may be a visitor better suited to another community and not reframed.

Output format

text
[Eligibility] clear / needs declaration / risky
[Lanes covered] <TACAS / CAV / VMCAI / FMCAD / SPIN / journals / competitions>
[Nearest 3 works] <work -> one-line delta>
[Infrastructure credited] <solvers / benchmarks / backends cited? yes/no>
[Archival-overlap risk] <none / declare: what (incl. SV-COMP entry)>
[Novelty sentence] <TACAS-ready contribution contrast against the nearest tools/algorithms>

© 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 TACAS-Skills/skills/tacas-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Tacas Related Work next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tacas Related Work compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tacas Related Work this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Ieee Paper ReaderCloudWave818/ieee-skills359—~591Automated safety check: PassMIT
Gec Literature Positioningfranklee16/academic-research-skills2231 repos~855Automated safety check: PassNone
Jpe Literature Positioningfranklee16/academic-research-skills2231 repos~1.1kAutomated safety check: PassNone
Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT

Similar skills

  • Ieee Paper Reader

    CloudWave818/ieee-skills

    Read, decompose, and analyze IEEE-style papers using routed technical-reading workflows.

    359 GitHub stars~591 tokensUpdated 2 mo ago
    Research & ScienceAuto-check passed
  • Gec Literature Positioning

    franklee16/academic-research-skills

    A skill your agent uses when positioning a Global Environmental Change (GEC) manuscript against the relevant literatures.

    223 GitHub starsUsed in 1 repo~855 tokens
    Research & ScienceAuto-check passed
  • Jpe Literature Positioning

    franklee16/academic-research-skills

    A skill your agent uses when writing or repairing the introduction and related-work framing for a Journal of Political Economy (JPE) manuscript — situating the contribution in the economics…

    223 GitHub starsUsed in 1 repo~1.1k tokens
    Marketing & SEOAuto-check passed
  • Systematic Review Screener

    Imbad0202/academic-research-skills

    Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.

    51k GitHub stars~8.4k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Literature Review

    neflibata-feng/MyArxiv-Agent

    Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).

    126 GitHub starsUsed in 20 repos~5.9k tokens
    Research & ScienceAuto-check: notes
  • Preprint Search on bioRxiv

    LigphiDonk/Oh-my--paper

    Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.

    739 GitHub starsUsed in 12 repos~3.7k tokens
    Research & ScienceAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 14 days ago
    Auto-check passed

Questions about Tacas Related Work

What does Tacas Related Work do?

A skill your agent uses when positioning a TACAS (ETAPS) submission against the verification literature across TACAS, CAV, VMCAI, FMCAD, SPIN, and journals (STTT, FMSD), writing delta-first contrast…. Tacas Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a TACAS (ETAPS) submission against the verification literature across TACAS, CAV, VMCAI, FMCAD, SPIN, and journals (STTT, FMSD), writing delta-first contrast against the nearest tools and algorithms, crediting the benchmarks and solvers you build on, keeping self-citations anonymous for double-blind research papers, and handling competition-tool and prior-version overlap.

When should I use Tacas Related Work?

Tacas Related Work fits situations like: positioning a TACAS (ETAPS) submission against the verification literature across TACAS; writing delta-first contrast against the nearest tools and algorithms; crediting the benchmarks and solvers you build on; keeping self-citations anonymous for double-blind research papers.

How do I install Tacas Related Work in Claude Code?

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

How do I install Tacas Related Work in Codex?

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

Can I use Tacas Related Work 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 tacas-related-work -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tacas-related-work, .gemini/skills/tacas-related-work, .github/skills/tacas-related-work and .opencode/skills/tacas-related-work in your project.

What does Tacas Related Work need to run?

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

Does Tacas Related Work 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 Tacas Related Work 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 Tacas Related Work use?

Tacas Related Work 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 Tacas Related Work use?

About 1.3k tokens (SKILL.md is roughly 5.4k 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 Tacas Related Work?

Skills that share tags, products or a category with Tacas Related Work: Ieee Paper Reader (CloudWave818/ieee-skills, 359 stars), Gec Literature Positioning (franklee16/academic-research-skills, 223 stars), Jpe Literature Positioning (franklee16/academic-research-skills, 223 stars) and Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tacas Related Work?

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.