Agent skill

Asplos Author Response

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when drafting an ASPLOS author response inside the short fixed window — triaging reviews into factual errors versus questions versus disagreements, budgeting for the ~800…

MITAuto-check passedBusiness, Finance & HR

Install Asplos Author Response

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills asplos-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/ASPLOS-Skills/skills/asplos-author-response .claude/skills/asplos-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
asplos-author-response
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
795 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when drafting an ASPLOS author response inside the short fixed window — triaging reviews into factual errors versus questions versus disagreements, budgeting for the ~800…

  • Works in 4 steps: Day 0 (reviews arrive): full-team read;… → Day 1: draft answers with pointers… → Day 2: cut to budget; adversarial read… → …
  • Budgeting for the ~800 words reviewers are expected to read
  • SKILL.md covers Hour one: triage before prose, The 800-word budget, Rules of evidence and Anticipating each decision…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Asplos Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting an ASPLOS author response inside the short fixed window — triaging reviews into factual errors versus questions versus disagreements, budgeting for the ~800 words reviewers are expected to read, arguing only from evidence already in the submission, and positioning the paper for the Accept / Major Revision / Reject decision.

Its SKILL.md is about 1.7k 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 Business, Finance & HR, covering Budgeting and forecasting. 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

  • Budgeting for the ~800 words reviewers are expected to read
  • Arguing only from evidence already in the submission
  • Positioning the paper for the Accept / Major Revision / Reject decision

Example prompts

  • “/asplos-author-response”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Day 0 (reviews arrive): full-team read; triage table filled; owner per item.
  2. Day 1: draft answers with pointers verified against the submitted PDF — not the
  3. Day 2: cut to budget; adversarial read by the author who wrote least of it.
  4. Final day: submit early; HotCRP forms have closing times, and AoE arithmetic

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

Asplos Author Response loads about 1.7k tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 795 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 795 words, ~1,691 tokens.

Download SKILL.mdSave it as .claude/skills/asplos-author-response/SKILL.md (or your agent's skills folder).
name
asplos-author-response
description
Use when drafting an ASPLOS author response inside the short fixed window — triaging reviews into factual errors versus questions versus disagreements, budgeting for the ~800 words reviewers are expected to read, arguing only from evidence already in the submission, and positioning the paper for the Accept / Major Revision / Reject decision.

ASPLOS Author Response

The 2027 CFP defines the rebuttal's job narrowly: (1) correct factual errors in the reviews, and (2) answer the questions reviewers posed. There is no hard length cap, but reviewers are not expected to read past 800 words (verified 2026-07-08). Both facts should shape every drafting decision below. The 2027 windows are fixed and short — July 6-9, 2026 for the April cycle (open on this pack's check date) and December 1-4, 2026 for the September cycle.

Hour one: triage before prose

Sort every review remark into exactly one bucket:

BucketDefinitionResponse posture
Factual errorThe review misstates what the paper says, measures, or assumesCorrect it, with a section/figure/table pointer — highest priority, CFP-sanctioned
Direct questionThe reviewer asked for a clarificationAnswer in ≤ 3 sentences, citing where the paper already contains the material
Evidence disputeThe reviewer doubts a result or baselinePoint to the existing run/ablation that addresses it; concede if none exists
Judgment call"Not novel enough", "fit is marginal"One calm paragraph max, or zero — rebuttals rarely move taste
Revision seedA fixable gap you agree withAcknowledge + state the concrete fix; this is you negotiating the Major Revision terms

The last bucket is ASPLOS-specific leverage: because the decision set includes Major Revision, a response that shows requested work is scoped and feasible in six weeks gives the committee a reason to choose revision over rejection.

The 800-word budget

Assume only the first 800 words are read; structure so truncation is harmless:

text
Words   1- 80   Global note: 1-2 sentences of thanks + the single most
                important correction, stated flatly with a pointer.
Words  80-560   Numbered items, worst objection first. Format per item:
                [R2-Q1] Claim/question -> answer -> evidence pointer (§, Fig, Tab).
Words 560-800   Revision seeds: "If given the opportunity, we will X, Y, Z" —
                each one concrete, bounded, and honest about what exists today.
Overflow        Optional detail annex, clearly marked; assume unread.

Write pointers, not paraphrases: "§6.4's ablation isolates the hint register (row 3 of Table 5)" outlasts three sentences of re-argument.

Rules of evidence

  • Argue only from the submitted PDF and its appendices. New numbers produced during a four-day window read as unreviewable and can poison trust in the reviewed ones.
  • If a reviewer misread because the paper was unclear, say both halves: the correct reading, and that the text will be clarified — the misreading is data about your writing.
  • Never restate a weakness in stronger words than the reviewer used; answer the version they wrote.
  • Preserve anonymity: no identifying links, no "as we showed in our earlier paper" in the first person.

Anticipating each decision from the response

  • Toward Accept: every factual error corrected with pointers; questions answered; no new promises needed.
  • Toward Major Revision: disputes conceded where real, each paired with a bounded fix — you are drafting the revision contract's terms in your own language before the committee writes them in theirs.
  • Away from Reject: the response's tone matters most on the margin; a defensive or evasive rebuttal confirms a skeptical reviewer's prior. Flat, specific, checkable sentences are the house style.
Show full SKILL.md (354 more words)Show less

Team protocol for a 3-4 day window

  1. Day 0 (reviews arrive): full-team read; triage table filled; owner per item.
  2. Day 1: draft answers with pointers verified against the submitted PDF — not the current working draft, which has diverged.
  3. Day 2: cut to budget; adversarial read by the author who wrote least of it.
  4. Final day: submit early; HotCRP forms have closing times, and AoE arithmetic under deadline stress is how windows get missed.

Sentence patterns, graded

Systems reviewers reward flatness and pointers; they punish advocacy verbs.

  • Works: "R2 states the baseline ran untuned; §6.1 documents the three tunables we set and their values, matching the vendor guide." — correction, pointer, checkable.
  • Works: "Yes — the design targets sub-VM granularity; §3.4's interface section defines the virtualization behavior R1 asks about." — direct answer first, location second.
  • Fails: "We respectfully disagree with the reviewer's assessment of novelty." — spends words restating the objection, adds no evidence.
  • Fails: "As is well known in the community..." — condescension detector; if it were well known, the reviewer would know it.
  • Fails: "We will completely rewrite Section 5." — unbounded promise; the Major Revision channel rewards bounded, verifiable commitments only.

When reviews contradict each other

Reviewer A wants the simulator sweep expanded; reviewer B calls simulation the paper's weakness. Do not privately pick a side: name the tension in one neutral sentence and resolve it with the claim-instrument logic ("the sweep tests generality; the silicon runs carry the headline claim — §6.2 vs §6.5"), so the committee discussion inherits your framing instead of improvising one. A response that surfaces and resolves a contradiction reads as authors who understand their own evidence architecture.

Arming your champion

A response is read most attentively by the reviewer already inclined to argue for the paper. Give that reviewer portable ammunition: one-sentence answers they can paste into the discussion, exact figure references, and a crisp statement of what the paper does not claim (scope concessions defuse the skeptic's strongest line). If no review shows champion potential, the realistic response goal shifts to securing the Major Revision outcome rather than outright acceptance — write the revision-seed section accordingly.

Output format

text
[Triage] errors: N · questions: N · disputes: N · judgment: N · revision seeds: N
[Budget] main-body words: N/800 · items ordered worst-first: Y/N
[Pointer audit] every answer carries §/Fig/Tab: Y/N
[New-data check] zero unreviewable numbers introduced: Y/N
[Revision terms offered] <the bounded fixes promised, one line each>
[Submission] uploaded with ≥12h margin: Y/N

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

Open the folder on GitHubat commit 932eb23

Compare with similar skills

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Questions about Asplos Author Response

What does Asplos Author Response do?

A skill your agent uses when drafting an ASPLOS author response inside the short fixed window — triaging reviews into factual errors versus questions versus disagreements, budgeting for the ~800…. Asplos Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting an ASPLOS author response inside the short fixed window — triaging reviews into factual errors versus questions versus disagreements, budgeting for the ~800 words reviewers are expected to read, arguing only from evidence already in the submission, and positioning the paper for the Accept / Major Revision / Reject decision.

When should I use Asplos Author Response?

Asplos Author Response fits situations like: budgeting for the ~800 words reviewers are expected to read; arguing only from evidence already in the submission; positioning the paper for the Accept / Major Revision / Reject decision.

How do I install Asplos Author Response in Claude Code?

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

How do I install Asplos Author Response in Codex?

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

Can I use Asplos 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 asplos-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/asplos-author-response, .gemini/skills/asplos-author-response, .github/skills/asplos-author-response and .opencode/skills/asplos-author-response in your project.

What does Asplos Author Response need to run?

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

Does Asplos 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 Asplos 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 Asplos Author Response use?

Asplos 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 Asplos Author Response use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 Asplos Author Response?

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Who maintains Asplos 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.