A skill your agent uses when deciding what goes in a SenSys paper's body versus its unlimited references and appendices versus HotCRP fields — keeping the double-column body carrying the argument…

MITAuto-check passed

Install Sensys Supplementary

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

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

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

At a glance

A skill your agent uses when deciding what goes in a SenSys paper's body versus its unlimited references and appendices versus HotCRP fields — keeping the double-column body carrying the argument…

  • Moving full protocols
  • SKILL.md covers The placement decision, The body earns its space, Blind the artifact links and Keep the resubmission packet…, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Derivations to the appendix

What it does

Sensys Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what goes in a SenSys paper's body versus its unlimited references and appendices versus HotCRP fields — keeping the double-column body carrying the argument, moving full protocols, extra plots, and derivations to the appendix, blinding anonymous artifact links, and keeping the Response to Reviewers out of the body.

Its SKILL.md is about 1k 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

  • Moving full protocols
  • Derivations to the appendix
  • Blinding anonymous artifact links
  • Keeping the Response to Reviewers out of the body

Example prompts

  • “/sensys-supplementary”

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 Supplementary loads about 1k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 417 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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). 417 words, ~1,000 tokens.

Download SKILL.mdSave it as .claude/skills/sensys-supplementary/SKILL.md (or your agent's skills folder).
name
sensys-supplementary
description
Use when deciding what goes in a SenSys paper's body versus its unlimited references and appendices versus HotCRP fields — keeping the double-column body carrying the argument, moving full protocols, extra plots, and derivations to the appendix, blinding anonymous artifact links, and keeping the Response to Reviewers out of the body.

SenSys Supplementary Material

SenSys gives you an unusual amount of room outside the page cap: references and appendices are unlimited. That freedom is a trap if it becomes a dumping ground. The discipline is to keep the ≤ 12-page (full) or ≤ 6-page (short) body carrying the argument, and to place everything a reviewer might want but does not need to judge the claim in the appendix — reachable, but not in the way of the story.

The placement decision

For each piece of content, ask: must a reviewer read this to believe the headline claim?

ContentBody (in the cap)Appendix (unlimited)HotCRP field
The mechanism and its constraint modelYes——
The headline energy/latency/accuracy resultsYes——
Full measurement protocol (instrument settings, calibration steps)Summary onlyFull detail—
Extra ablations and secondary plotsThe load-bearing onesThe rest—
Derivations / proofs of a boundStatement + intuitionFull proof—
Complete hardware BOM and wiring—Yes—
Deployment logs, per-node uptime tablesSummaryFull tables—
Title, abstract, topics, conflicts——Yes (verbatim-match PDF)
Anonymous artifact linkCited in text (blinded)—If the form asks

The body earns its space

Because appendices are free, the body must be ruthless: every paragraph either advances the sensing-pain → mechanism → measured-behavior arc (sensys-writing-style) or moves to the appendix. A body padded with protocol detail reads as unfocused; a body that states results and points to App. B for the protocol reads as confident. Reviewers are not obligated to read appendices, so nothing load-bearing may hide there — if the claim depends on it, summarize it in the body and expand in the appendix.

Show full SKILL.md (158 more words)Show less

Supplementary artifact links are the classic anonymity leak. During double-blind review:

text
[ ] Repo link is an anonymized mirror (no username, no lab/org in the URL).
[ ] Zenodo/OSF deposit has authors anonymized.
[ ] No link resolves to a personal, lab, department, or company domain.
[ ] Trace/data archives carry no author metadata or identifying paths.

A single un-blinded GitHub URL in the supplement can de-anonymize the whole submission — sweep the appendix with the same rigor as the body (sensys-submission).

Keep the resubmission packet out of the body

If you are resubmitting at the next deadline, the Response to Reviewers is a separate document (sensys-author-response), not appended to the paper's body — it must not consume page budget and must follow the CFP's stated form (待核实 for the exact mechanism). The revised paper stands on its own; the response explains how it changed.

Structure the appendix so it is navigable

An unlimited appendix that no one can navigate is wasted. Give it the same structure your body promises: if §4.2 says "full protocol in App. B," App. B exists, is labeled, and contains exactly that. Cross-reference precisely — a reviewer checking one number should reach it in one hop.

Output format

text
[Body]     is every body paragraph load-bearing? list what should move to appendix
[Appendix] is anything load-bearing hiding in the (optional-to-read) appendix?
[Blind]    artifact/data links swept for anonymity — pass/gap
[Resub]    response-to-reviewers kept out of the body? (if applicable)
[Nav]      body cross-references resolve to labeled appendix sections? pass/gap
[Open]     the one placement decision most affecting how the paper reads

© 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-supplementary of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Sensys Supplementary 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 Supplementary compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sensys Supplementary this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1kAutomated safety check: PassMIT
Aria Hidden Bodythedaviddias/Front-End-Checklist74k—~444Automated safety check: PassMIT
Meta In Bodythedaviddias/Front-End-Checklist74k—~541Automated safety check: PassMIT
Pull Request Title and Body Writeropeninterpreter/openinterpreter69k2 repos~1.1kAutomated safety check: PassApache-2.0
Add Function Bodyonnx/onnx22k—~1.1kAutomated safety check: PassApache-2.0
Aer Paper Bodybrycewang-stanford/Auto-Empirical-Research-Skills4.6k1 repos~3.3kAutomated safety check: PassCustom licence

Similar skills

  • Aria Hidden Body

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Do not use aria-hidden on the document body.

    74k GitHub stars~444 tokensUpdated 5 days ago
    Frontend & DesignAuto-check passed
  • Meta In Body

    thedaviddias/Front-End-Checklist

    A skill your agent uses when auditing HTML document structure.

    74k GitHub stars~541 tokensUpdated 5 days ago
    Marketing & SEOAuto-check passed
  • Pull Request Title and Body Writer

    openinterpreter/openinterpreter

    Rewrites the title and body of one or more pull requests with gh, leading with why the change was made, then what changed, and describing only the net result.

    69k GitHub starsUsed in 2 repos~1.1k tokens
    DevelopmentAuto-check passed
  • Add a function body definition to an ONNX operator, defining how it decomposes into simpler ops.

    22k GitHub stars~1.1k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Aer Paper Body

    brycewang-stanford/Auto-Empirical-Research-Skills

    A skill your agent uses when drafting or revising the body sections of an AER, AER:Insights, or AEJ manuscript — institutional background, data, empirical strategy, results, mechanisms, and…

    4.6k GitHub starsUsed in 1 repo~3.3k tokens
    Media & CreativeAuto-check passed
  • Multi-stage workflow for producing videos set in the Three-Body universe, from lore research and storyboards to voice, sound and music generation and final compositing.

    7.8k GitHub stars~1.6k tokensUpdated yesterday
    Media & CreativeAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 14 days ago
    Auto-check passed

Questions about Sensys Supplementary

What does Sensys Supplementary do?

A skill your agent uses when deciding what goes in a SenSys paper's body versus its unlimited references and appendices versus HotCRP fields — keeping the double-column body carrying the argument…. Sensys Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what goes in a SenSys paper's body versus its unlimited references and appendices versus HotCRP fields — keeping the double-column body carrying the argument, moving full protocols, extra plots, and derivations to the appendix, blinding anonymous artifact links, and keeping the Response to Reviewers out of the body.

When should I use Sensys Supplementary?

Sensys Supplementary fits situations like: moving full protocols; derivations to the appendix; blinding anonymous artifact links; keeping the Response to Reviewers out of the body.

How do I install Sensys Supplementary in Claude Code?

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

How do I install Sensys Supplementary in Codex?

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

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

What does Sensys Supplementary need to run?

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

Does Sensys Supplementary 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 Supplementary 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 Supplementary use?

Sensys Supplementary 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 Supplementary use?

About 1k tokens (SKILL.md is roughly 4k 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 Supplementary?

Skills that share tags, products or a category with Sensys Supplementary: Aria Hidden Body (thedaviddias/Front-End-Checklist, 74k stars), Meta In Body (thedaviddias/Front-End-Checklist, 74k stars), Pull Request Title and Body Writer (openinterpreter/openinterpreter, 69k stars) and Add Function Body (onnx/onnx, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sensys Supplementary?

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.