Agent skill

Sensys Author Response

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

A skill your agent uses when writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract, mapping each blocking concern to a specific change and…

MITAuto-check passed

Install Sensys Author Response

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sensys-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/SenSys-Skills/skills/sensys-author-response .claude/skills/sensys-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
sensys-author-response
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
466 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract, mapping each blocking concern to a specific change and…

  • Writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract
  • SKILL.md covers The response is a change-map, Stage the experiments before…, Sort every point before you… and Rules of the response, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Mapping each blocking concern to a specific change and the new measurement that closes it

What it does

Sensys Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract, mapping each blocking concern to a specific change and the new measurement that closes it, staging the energy and testbed experiments a systems revision demands, and keeping the response anonymous and in the CFP's form.

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.

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

  • Writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract
  • Mapping each blocking concern to a specific change and the new measurement that closes it
  • Staging the energy and testbed experiments a systems revision demands
  • Keeping the response anonymous and in the CFPs form

Example prompts

  • “/sensys-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

Sensys Author Response loads about 1.3k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 466 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
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). 466 words, ~1,271 tokens.

Download SKILL.mdSave it as .claude/skills/sensys-author-response/SKILL.md (or your agent's skills folder).
name
sensys-author-response
description
Use when writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract, mapping each blocking concern to a specific change and the new measurement that closes it, staging the energy and testbed experiments a systems revision demands, and keeping the response anonymous and in the CFP's form.

SenSys Author Response

The SenSys resubmission is a contract, not a rebuttal debate. Because the two-deadline model lets a rejected paper return at the next deadline only with a substantive revision and a Response to Reviewers, the response's job is to prove that each concern the reviewers raised has been closed in the revised paper — most often with a new measurement, not an argument. A response that argues instead of measures is the most common way a resubmission fails again.

The response is a change-map

For every reviewer point, produce a row: the concern, the change you made, and where in the revised paper it now lives. This is the artifact reviewers actually read.

text
R2-a  "Energy claim not measured; datasheet current used."
      → Change: measured average draw with a shunt at 10 kHz across a full duty cycle.
      → Where:  §4.2 rewritten; Fig. 4 new power trace; Table 2 updated with measured energy.
      → Status: CLOSED with new measurement.

R1-c  "Ground truth for accuracy is unclear."
      → Change: documented the reference-instrument protocol and its own error.
      → Where:  App. A new; §4.3 now cites it.
      → Status: CLOSED.

R3-b  "Suggest testing at 100 nodes."
      → Change: added a 40-node run (largest testbed available); discussed scaling limit.
      → Where:  §4.4; limitation stated in §6.
      → Status: PARTIALLY addressed — scope noted honestly.

Stage the experiments before you write

A systems revision usually needs new data, and energy/testbed measurements have lead time. As soon as the reviews land, sort the blocking points (sensys-review-process) and schedule the runs against the next deadline (sensys-workflow): a new deployment or harvesting campaign may need weeks of wall-clock time you cannot compress. Write the response around results you will actually have, not results you hope to have.

Sort every point before you answer it

Not every reviewer comment earns the same response. Triage first, then spend the revision budget where it changes the verdict.

Point typeWhat it needsResponse move
Blocking (disbelieved claim)New measurement on real hardwareRun it; row marked CLOSED with the figure/table
Fixable gapA bench run or clearer figureAddress and point to the location
Framing misreadRewriting, no new dataClarify in the paper; note the change
Wishlist (out of scope)A brief, honest scoping replyAcknowledge; do not spend the budget here
Show full SKILL.md (190 more words)Show less

Rules of the response

  • Close, do not argue. Prefer "we measured X and updated Table 2" over "we believe the reviewer is mistaken." When a reviewer is genuinely wrong, show the measurement that settles it rather than asserting.
  • Be honest about partial closes. A concern you cannot fully address (a 100-node ask you can only meet at 40) is closed honestly by doing what you can and stating the limit — not by silence or overclaiming.
  • Every promise appears in the paper. Reviewers read the response against the revised PDF; a change described but not present is worse than not promising it.
  • Stay anonymous and in-form. The response is part of a double-blind resubmission; do not de-anonymize, and keep to the length/format the CFP specifies (待核实 for the exact form).
  • Prioritize blocking over wishlist. Spend your revision budget on the points that made the reviewers not believe the paper, not on cosmetic wishlist items.

Tone

Professional and specific. Thank reviewers once, briefly, then get to the change-map. Avoid defensiveness and avoid flattery; a SenSys committee is persuaded by measurements and honest scoping, not by rhetoric.

Before submitting the resubmission

text
[ ] Every blocking concern has a row: concern → change → location → status.
[ ] Each "CLOSED" row's change is actually present in the revised PDF.
[ ] New measurements were run on real hardware, not asserted.
[ ] Partial closes are stated honestly with the scope limit named.
[ ] Response is anonymous and within the CFP's stated form/length.
[ ] The revised paper's abstract/intro reflect the strengthened evidence.
[ ] Blocking points prioritized over wishlist items in the revision budget.

Output format

text
[Map]      the change-map: each reviewer point → change → location → status
[New data] which blocking points required new measurement, and whether it exists yet
[Schedule] can the required runs finish before the next deadline? (link to workflow)
[Honesty]  partial closes named with their scope limits
[Open]     any concern still unclosed and the risk it carries into the next round

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

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Sensys 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.

Sensys Author Response compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sensys Author Response this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Review Hog AuthoringPostHog/posthog40k—~2kAutomated safety check: PassCustom licence
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 Sensys Author Response

What does Sensys Author Response do?

A skill your agent uses when writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract, mapping each blocking concern to a specific change and…. Sensys Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract, mapping each blocking concern to a specific change and the new measurement that closes it, staging the energy and testbed experiments a systems revision demands, and keeping the response anonymous and in the CFP's form.

When should I use Sensys Author Response?

Sensys Author Response fits situations like: writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract; mapping each blocking concern to a specific change and the new measurement that closes it; staging the energy and testbed experiments a systems revision demands; keeping the response anonymous and in the CFPs form.

How do I install Sensys Author Response in Claude Code?

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

How do I install Sensys Author Response in Codex?

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

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

What does Sensys Author Response need to run?

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

Does Sensys 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 Sensys 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 Sensys Author Response use?

Sensys 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 Sensys Author Response use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Sensys Author Response?

Skills that share tags, products or a category with Sensys 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 Sensys 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.