A skill your agent uses when answering NSDI reviewers through the channel the venue actually provides — executing a one-shot revision against the required-issues list, writing the change memo and…

MITAuto-check passed

Install Nsdi Author Response

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

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

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

At a glance

A skill your agent uses when answering NSDI reviewers through the channel the venue actually provides — executing a one-shot revision against the required-issues list, writing the change memo and…

  • Works in 3 steps: Address every listed issue, visibly.… → Do not renovate beyond the list. The… → **If an experiment's result contradicts…
  • Answering NSDI reviewers through the channel the venue actually provides — executing a one-shot revision against the required-issues list
  • SKILL.md covers Moment one: the response you…, Moment two: the one-shot…, The packet: memo + highlighted… and Timeline for a typical…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Nsdi Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when answering NSDI reviewers through the channel the venue actually provides — executing a one-shot revision against the required-issues list, writing the change memo and highlighted diff for the same reviewers, and pre-empting objections inside the submission when no response phase exists.

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

  • Answering NSDI reviewers through the channel the venue actually provides — executing a one-shot revision against the required-issues list
  • Writing the change memo and highlighted diff for the same reviewers
  • Pre-empting objections inside the submission when no response phase exists

Example prompts

  • “/nsdi-author-response”

Workflow steps

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

  1. Address every listed issue, visibly. Coverage is binary at NSDI: revisions
  2. Do not renovate beyond the list. The same reviewers approved everything they
  3. **If an experiment's result contradicts the reviewer's expectation, report it

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

Nsdi Author Response loads about 1.5k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 672 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
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). 672 words, ~1,500 tokens.

Download SKILL.mdSave it as .claude/skills/nsdi-author-response/SKILL.md (or your agent's skills folder).
name
nsdi-author-response
description
Use when answering NSDI reviewers through the channel the venue actually provides — executing a one-shot revision against the required-issues list, writing the change memo and highlighted diff for the same reviewers, and pre-empting objections inside the submission when no response phase exists.

NSDI Author Response

At NSDI the author's voice reaches reviewers at two moments only: inside the original submission, and — if granted — inside a one-shot revision packet read by the same people who wrote the demands. There is no rendered rebuttal phase in the '27 CFP (absence 待核实; verify each cycle). This skill covers both moments; the second is the venue's signature mechanism and the reason this skill is not a rebuttal-writing guide.

Moment one: the response you embed in advance

Without a mid-review channel, anticipated objections must be answered in the PDF:

  • Run the objection drill: each coauthor writes the three most likely reviewer complaints; any complaint appearing twice gets a paragraph in the paper — typically a "why not X?" design-alternatives note or a limits paragraph (nsdi-writing-style).
  • Pre-empt the baseline attack by documenting baseline tuning in-body (nsdi-experiments).
  • Pre-empt the scope attack with an explicit sentence locating the contribution in the networking stack or distributed design (nsdi-topic-selection).

Moment two: the one-shot revision, treated as a contract

The decision letter's required-issues list is an offer with exact terms: fix these, same reviewers check, one attempt. Respond like a contractor, not a debater.

Triage the issues within days of notification:

Issue typeTypical costResponse posture
New experiment / baselinemachine-weeks + testbed accessreserve infrastructure immediately (nsdi-workflow)
Analysis or claritydaysdo fully; these are free credibility
Claim recalibrationhours, plus egoalmost always concede — narrow the claim to the evidence
Genuinely infeasible demand—contact the program co-chairs early; silence then surprise is the worst path

Execution rules:

  1. Address every listed issue, visibly. Coverage is binary at NSDI: revisions that fail to address the required issues are rejected with no further revision option. Partial credit does not exist.
  2. Do not renovate beyond the list. The same reviewers approved everything they did not flag; gratuitous rewrites reopen settled sections and can introduce new objections that the one-shot format gives you no chance to answer.
  3. If an experiment's result contradicts the reviewer's expectation, report it straight. The issue said "evaluate under churn," not "show churn is fine." An honest unfavorable result plus a scoped claim is a fulfilled requirement; a massaged favorable one is a rejection when the reviewer probes.
Show full SKILL.md (305 more words)Show less

The packet: memo + highlighted diff

Both components are mandatory auxiliary material (nsdi-supplementary). Their shared purpose: let a reviewer verify their own issue in under a minute.

text
Change memo skeleton (one block per required issue, in the letter's order):

R-1  Compare against <deployed system>.
     DONE — §6.2 now includes tuned <system> (config: App. C).
     Result: our gains drop from 3.4x to 2.6x at p99.9; text and
     abstract recalibrated. [diff pages 8-9, 1]

R-2  Clarify lease-expiry semantics.
     DONE — new §4.3 (state machine, Fig. 5); two corner cases we
     had not specified are now explicit. [diff pages 5-6]

Also changed (minimal): fixed two typos flagged in reviews; updated
citation [31] to its published version. No other content changes.

The "Also changed" section builds the trust the format depends on — it certifies the diff is complete. Generate the highlighted version mechanically (latexdiff or equivalent) from the true submitted baseline, not from a reconstructed one.

Tone: the readers already invested in this paper — a one-shot revision means they voted to see it again. Write as a colleague closing out a punch list: no re-argument of the original decision, no flattery, no hedging about what was and wasn't done.

Timeline for a typical revision window

A spring '27 one-shot revision (notified July 23, 2026) targeting the fall gate (September 17, 2026) has roughly eight weeks:

  1. Week 1: issue ledger built; infeasibility flags raised with co-chairs if any; testbed time reserved.
  2. Weeks 2-5: demanded experiments run with full provenance (nsdi-reproducibility); text changes drafted in parallel.
  3. Week 6: memo and diff assembled from the running drafts; internal reviewer plays the original R2 against the packet.
  4. Week 7: freeze; verify the resubmission enters the correct HotCRP site with the packet attached (nsdi-submission).
  5. Week 8: buffer — the revision that arrives calm beats the one that arrives complete-but-chaotic at 11:58 pm.

A fall-issued revision aiming at the next edition's spring gate has more calendar but the same structure; do not let the longer runway defer the testbed reservation.

When the letter says plain reject

There is no response channel and no appeal-by-email; the ban clock runs (nsdi-review-process). The productive move is extraction: convert each review point into either a fix, a re-route signal, or a documented disagreement to handle in the next version's pre-emption layer. The reviews were written by this community; the next PC will resemble them.

Output format

text
[Channel] pre-emption (drafting) / one-shot revision (letter in hand)
[Issue ledger] R-# -> action -> cost -> owner -> status
[Feasibility] any issue needing co-chair contact? deadline realistic?
[Packet status] memo issue-complete? diff from true baseline? extras declared?
[Risk] unfavorable-result handling; renovation creep check
[Ship date] resubmission gate targeted, freeze date set

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

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Nsdi 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.

Nsdi Author Response compared with similar skills
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Nsdi Author Response this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
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Review ResponseGalaxy-Dawn/claude-scholar5.7k2 repos~1.4kAutomated safety check: PassMIT
Nature Reviewer ResponseYuan1z0825/nature-skills47k—~1.5kAutomated safety check: PassApache-2.0
Review Pending PR Reviewsnrwl/nx29k—~3.9kAutomated safety check: PassMIT
Responsive Unitsthedaviddias/Front-End-Checklist74k—~472Automated safety check: PassMIT

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Questions about Nsdi Author Response

What does Nsdi Author Response do?

A skill your agent uses when answering NSDI reviewers through the channel the venue actually provides — executing a one-shot revision against the required-issues list, writing the change memo and…. Nsdi Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when answering NSDI reviewers through the channel the venue actually provides — executing a one-shot revision against the required-issues list, writing the change memo and highlighted diff for the same reviewers, and pre-empting objections inside the submission when no response phase exists.

When should I use Nsdi Author Response?

Nsdi Author Response fits situations like: answering NSDI reviewers through the channel the venue actually provides — executing a one-shot revision against the required-issues list; writing the change memo and highlighted diff for the same reviewers; pre-empting objections inside the submission when no response phase exists.

How do I install Nsdi Author Response in Claude Code?

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

How do I install Nsdi Author Response in Codex?

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

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

What does Nsdi Author Response need to run?

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

Does Nsdi 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 Nsdi 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 Nsdi Author Response use?

Nsdi 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 Nsdi Author Response use?

About 1.5k tokens (SKILL.md is roughly 6k 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 Nsdi Author Response?

Skills that share tags, products or a category with Nsdi Author Response: Review Hog Authoring (PostHog/posthog, 40k stars), Review Response (Galaxy-Dawn/claude-scholar, 5.7k stars), Nature Reviewer Response (Yuan1z0825/nature-skills, 47k stars) and Review Pending PR Reviews (nrwl/nx, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nsdi 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.