A skill your agent uses when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and — distinctively — the one-shot-revision change…

MITAuto-check passed

Install Fast Author Response

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-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/FAST-Skills/skills/fast-author-response .claude/skills/fast-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
fast-author-response
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
599 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and — distinctively — the one-shot-revision change…

  • Drafting USENIX FAST author responses
  • SKILL.md covers Triage (both turns), Turn 1 — the author-response…, Turn 2 — the one-shot-revision… and Reviewer pushback patterns, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Resubmitted at the next deadline for a terminal accept/reject

What it does

Fast Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and — distinctively — the one-shot-revision change ledger that maps every required change (including any newly required storage experiments) to a concrete result, resubmitted at the next deadline for a terminal accept/reject.

Its SKILL.md is about 1.5k 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

  • Drafting USENIX FAST author responses
  • Resubmitted at the next deadline for a terminal accept/reject

Example prompts

  • “/fast-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

Fast Author Response loads about 1.5k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 599 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 599 words, ~1,470 tokens.

Download SKILL.mdSave it as .claude/skills/fast-author-response/SKILL.md (or your agent's skills folder).
name
fast-author-response
description
Use when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and — distinctively — the one-shot-revision change ledger that maps every required change (including any newly required storage experiments) to a concrete result, resubmitted at the next deadline for a terminal accept/reject.

FAST Author Response

Use this after FAST reviews arrive. FAST has two distinct speaking turns, and conflating them is a common mistake: a short author-response (rebuttal) during the pre-notification window, and — if you receive a one-shot revision — a full change ledger accompanying a revised paper that is re-read for a terminal accept/reject. Both keep double-blind: the response and any revision material must not reveal authors, institutions, systems by name, or a private repository.

Triage (both turns)

  • Answer what affects the decision: the storage contribution's significance, soundness of the measurement, device/state credibility, baseline fairness, tail-latency and endurance evidence, crash-consistency, and clarity.
  • Use evidence that already exists or that the revision will concretely add — never a vague promise.
  • Correct factual misreadings first; a reviewer who misread a device table or a steady-state caveat is often persuadable.
  • Keep every word double-blind. Do not name your system's real name, institution, funder, datacenter, or a private trace URL, even to strengthen a point.

Turn 1 — the author-response rebuttal

Short and decision-focused, written to fit the response form. One decision-critical point per reviewer beats an exhaustive reply. Concede what is true, correct what is misread, and point to exactly where the answer already lives in the submitted paper or artifact. Typical high-value moves for a storage paper:

  • Point to the testbed table / firmware / preconditioning detail a reviewer thought was missing.
  • Clarify that a number is a device-counter measurement, not an estimate, with the section reference.
  • If asked for a baseline or a crash test you cannot run in the window, say what you can commit to and how you would bound the gap — do not paste unverifiable new results.

Turn 2 — the one-shot-revision change ledger (the distinctive FAST move)

A one-shot revision is a bounded, terminal revise-and-resubmit: the revised paper, submitted at the next deadline, can only be accepted or rejected. The response is a change ledger: for every required item, either do it and show it, or (rarely) explain precisely why it is infeasible and what you did instead.

text
[R1.1] Required: "Compare against the tuned stock compactor at steady state"
       -> Action: DONE  | added §5.3 + Table 4: bytes-written on <SSD, firmware> at steady state,
          tuned baseline with equal budget; 2.1x reduction (95% CI ...)
       -> Where: §5.3, Table 4; artifact/reproduce/rq2/
[R2.1] Required: "Show crash consistency is preserved"
       -> Action: DONE  | added §6: block-level record-and-replay at 500 injected crash points,
          all recover a consistent state
       -> Where: §6, artifact/crashtest/
[R2.2] Required: "Report tail latency, not mean"
       -> Action: DONE  | Fig. 7 now shows p50/p99/p99.9 under load
[R3.1] Requested: "Add a second datacenter trace"
       -> Action: PARTIAL | added one archived production trace; a second is under NDA and cannot be
          shared, so external validity is bounded explicitly in §7

The rule that turns a one-shot revision into an acceptance: every required item is visibly done. Because the second read is terminal, a required change that is neither done nor squarely addressed is what causes the reject — there is no third round to fix it.

Show full SKILL.md (220 more words)Show less

Reviewer pushback patterns

PushbackWhat it signalsFAST-ready response
"Was the SSD preconditioned?"Steady-state / device-state doubtShow the preconditioning protocol and re-report at steady state
"You report mean, not tail, latency"Latency-distribution objectionAdd p99/p99.9 distributions under load
"Baseline isn't tuned / is old hardware"Comparison-fairness doubtRe-run tuned, same hardware and state; report new numbers
"You never crash-test the durability claim"Consistency-verification gapAdd fault-injection / record-and-replay recovery results
"WA is estimated, not measured"Measurement-soundness doubtRead bytes-written from device counters; show the script
"Does this hold beyond one drive/datacenter?"External-validity limitAdd devices/traces or bound the claim explicitly

Anonymity in the response (easy to slip)

  • Refer to your own prior work in the third person, as in the paper.
  • Describe artifact/trace additions without linking an identity-revealing repository or host; use the anonymized location.
  • Do not thank a named collaborator, funder, or hardware donor inside the response.
  • Do not name your system, product, or datacenter even when a new result would read better with it.

Calibration

  • Respond to the criterion the reviewer actually raised, not the one you would rather defend.
  • Length and format norms for the response, and the exact one-shot-revision instructions, vary by cycle; follow the current instructions precisely.
  • The revised paper — not the ledger — must carry the argument; the ledger is a map to the changes.

Output format

text
[Turn] author-response rebuttal / one-shot-revision change ledger
[Priority issue] <reviewer concern>
[Decision dimension] significance / measurement soundness / device state / baseline / consistency / clarity
[Change ledger] <required item -> DONE/PARTIAL/infeasible-with-reason + where in paper/artifact>
[Anonymity check] <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 FAST-Skills/skills/fast-author-response of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Fast 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.

Fast Author Response compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fast Author Response this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
Shortsickn33/agentic-awesome-skills47k1 repos~281Automated safety check: PassMIT
Responsive Unitsthedaviddias/Front-End-Checklist74k—~472Automated safety check: PassMIT
Hermes Agent Skill AuthoringNousResearch/hermes-agent252k—~3.6kAutomated safety check: PassMIT
Icassp Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Aaai Author Responsebrycewang-stanford/Awesome-Journal-Skills1.2k—~924Automated safety check: PassMIT

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Questions about Fast Author Response

What does Fast Author Response do?

A skill your agent uses when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and — distinctively — the one-shot-revision change…. Fast Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and — distinctively — the one-shot-revision change ledger that maps every required change (including any newly required storage experiments) to a concrete result, resubmitted at the next deadline for a terminal accept/reject.

When should I use Fast Author Response?

Fast Author Response fits situations like: drafting USENIX FAST author responses; resubmitted at the next deadline for a terminal accept/reject.

How do I install Fast Author Response in Claude Code?

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

How do I install Fast Author Response in Codex?

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

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

What does Fast Author Response need to run?

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

Does Fast 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 Fast 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 Fast Author Response use?

Fast 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 Fast Author Response use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 Fast Author Response?

Skills that share tags, products or a category with Fast Author Response: Short (sickn33/agentic-awesome-skills, 47k stars), Responsive Units (thedaviddias/Front-End-Checklist, 74k stars), Hermes Agent Skill Authoring (NousResearch/hermes-agent, 252k stars) and Icassp Author Response (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fast 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.