A skill your agent uses when drafting a TACAS (ETAPS) author response for the rebuttal window, covering the short single-round rebuttal, answering soundness and benchmark-fairness objections with…

MITAuto-check passedResearch & Science

Install Tacas Author Response

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

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

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

At a glance

A skill your agent uses when drafting a TACAS (ETAPS) author response for the rebuttal window, covering the short single-round rebuttal, answering soundness and benchmark-fairness objections with…

  • Drafting a TACAS (ETAPS) author response for the rebuttal window
  • SKILL.md covers Triage, The rebuttal shape, Reviewer pushback patterns and What a rebuttal can and cannot…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering the short single-round rebuttal

What it does

Tacas Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting a TACAS (ETAPS) author response for the rebuttal window, covering the short single-round rebuttal, answering soundness and benchmark-fairness objections with checkable evidence, addressing artifact concerns for tool papers, respecting the per-category blind model when it applies, and reading which objections a rebuttal can and cannot move.

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.

It sits in Research & Science, covering Peer review. 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

  • Drafting a TACAS (ETAPS) author response for the rebuttal window
  • Covering the short single-round rebuttal
  • Answering soundness and benchmark-fairness objections with checkable evidence
  • Addressing artifact concerns for tool papers

Example prompts

  • “/tacas-author-response”

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 Author Response loads about 1.2k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 518 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
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). 518 words, ~1,243 tokens.

Download SKILL.mdSave it as .claude/skills/tacas-author-response/SKILL.md (or your agent's skills folder).
name
tacas-author-response
description
Use when drafting a TACAS (ETAPS) author response for the rebuttal window, covering the short single-round rebuttal, answering soundness and benchmark-fairness objections with checkable evidence, addressing artifact concerns for tool papers, respecting the per-category blind model when it applies, and reading which objections a rebuttal can and cannot move.

TACAS Author Response

Use this after TACAS reviews are released in the rebuttal window. TACAS has one speaking turn: a short, targeted author response before the PC finalizes decisions — not a journal-style revise-and-resubmit. The job is to correct misreadings and supply the one or two checkable facts that move a borderline paper, not to rewrite the paper.

Triage

  • Answer what affects the decision: soundness of the algorithm, fairness and reproducibility of the evaluation, artifact function (for tool papers), correctness of a proof step, and genuine misreadings.
  • Use evidence that already exists in the submitted paper or artifact, or a number you can state now — never a vague promise of future work.
  • Correct factual misreadings first; a reviewer who misread a theorem or a benchmark table is often persuadable.
  • Respect anonymity where it applies: for a double-blind research paper the rebuttal must not reveal authors, institutions, tool identity, or a repository owner; for a single-blind tool / case-study paper this constraint does not apply.

The rebuttal shape

Short and decision-focused. One or two decision-critical points per reviewer beats an exhaustive reply. Concede what is true, correct what is misread, and point to exactly where the answer lives in the submitted paper or artifact. Do not paste large new results the reviewers cannot verify in the window.

text
[R1.1] Reviewer concern (quoted briefly)
       -> Response: the soundness objection assumes X; Theorem 1 handles it via Y (see §3.2)
       -> Evidence: already in the submitted proof / artifact script reproduce/rq1.sh
[R2.1] Reviewer concern
       -> Response: the baseline was configured with an equal 900s timeout on the same machine
          (§4.1); the per-category table shows the comparison is fair, not cherry-picked
[R3.1] Reviewer concern (artifact)
       -> Response: the artifact builds offline on the VM; the smoke run is `smoke.sh`; we will
          clarify the one missing dependency note in the README

Reviewer pushback patterns

PushbackWhat it signalsTACAS-ready response
"Is this actually sound?"Correctness doubtPoint to the theorem/argument; note any validation (witness/cross-tool) already done
"The baseline is not fair / not the latest"Comparison doubtState the version, timeout, and hardware; if truly unfair, concede and scope the claim
"Results are not reproducible"Verifiability gapPoint to the artifact scripts and the clean-VM smoke run; fix a doc gap you can name
"The artifact did not build" (tool paper)Mandatory-artifact failureIdentify the concrete cause; if fixable in the window per the rules, say exactly how
"Overlaps prior tool/algorithm X"Novelty doubtSharpen the one-sentence delta; name the capability/guarantee X lacks
"Only one benchmark family"External-validity limitPoint to other categories evaluated, or scope the claim and name the limit
Show full SKILL.md (174 more words)Show less

What a rebuttal can and cannot move

  • Can move: a misread proof, a baseline the reviewer thought was untuned but was not, a "not reproducible" that a pointer to the right script resolves, a novelty doubt a crisp delta answers.
  • Cannot move: a genuinely broken artifact for a tool paper, an unsound core, an evaluation that really is cherry-picked. Do not argue taste; the PC discussion decides, and your response is evidence for an advocate, not a closing argument.

Anonymity check (research papers only)

  • Refer to your own prior work in the third person, as in the paper.
  • Do not name your tool's identifying name, institution, grant, or a private repository in the response.
  • For a single-blind tool/case-study paper, none of this applies — answer plainly.

Calibration

  • The rebuttal is short and single-round; do not treat it as a revision.
  • Length and format norms vary by cycle; confirm the current ETAPS instructions before sending.
  • Answer the criterion the reviewer actually raised (soundness vs fairness vs artifact), not the one you would rather defend.

Output format

text
[Rebuttal focus] soundness / benchmark-fairness / reproducibility / artifact / novelty
[Category + blind mode] research (anonymous rebuttal) / tool|case-study (named)
[Point ledger] <reviewer concern -> response -> where the evidence already lives>
[Concessions] <what you concede + how you scope the claim>
[Anonymity check] (research only) <no identity leak in the response: passed/issues>

© 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-author-response of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Tacas Author Response 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 Author Response compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tacas Author Response this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
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Scholar Evaluationspacering-net/codeg3.9k11 repos~3.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Academic Paper ReviewerImbad0202/academic-research-skills51k—~11kAutomated safety check: PassCustom licence
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT

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Questions about Tacas Author Response

What does Tacas Author Response do?

A skill your agent uses when drafting a TACAS (ETAPS) author response for the rebuttal window, covering the short single-round rebuttal, answering soundness and benchmark-fairness objections with…. Tacas Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting a TACAS (ETAPS) author response for the rebuttal window, covering the short single-round rebuttal, answering soundness and benchmark-fairness objections with checkable evidence, addressing artifact concerns for tool papers, respecting the per-category blind model when it applies, and reading which objections a rebuttal can and cannot move.

When should I use Tacas Author Response?

Tacas Author Response fits situations like: drafting a TACAS (ETAPS) author response for the rebuttal window; covering the short single-round rebuttal; answering soundness and benchmark-fairness objections with checkable evidence; addressing artifact concerns for tool papers.

How do I install Tacas Author Response in Claude Code?

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

How do I install Tacas Author Response in Codex?

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

Can I use Tacas Author Response 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-author-response -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-author-response, .gemini/skills/tacas-author-response, .github/skills/tacas-author-response and .opencode/skills/tacas-author-response in your project.

What does Tacas Author Response need to run?

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

Does Tacas Author Response 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 Author Response 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 Author Response use?

Tacas Author Response 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 Author Response use?

About 1.2k tokens (SKILL.md is roughly 5k 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 Author Response?

Skills that share tags, products or a category with Tacas Author Response: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (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 Author Response?

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.