Agent skill

Sigmetrics Supplementary

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

A skill your agent uses when deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact, covering the 20-page single-column acmsmall budget, the rule that…

MITAuto-check passedResearch & Science

Install Sigmetrics Supplementary

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-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/SIGMETRICS-Skills/skills/sigmetrics-supplementary .claude/skills/sigmetrics-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
sigmetrics-supplementary
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
427 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 belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact, covering the 20-page single-column acmsmall budget, the rule that…

  • Deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact
  • SKILL.md covers What goes where, The page-budget discipline, Double-anonymous supplementary… and Appendix architecture, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering the 20-page single-column acmsmall budget

What it does

Sigmetrics Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact, covering the 20-page single-column acmsmall budget, the rule that decision-critical claims (theorem statements, assumptions, headline validation) stay inside the reviewed pages, full proofs in appendices, double-anonymous supplementary material, and how to split a proof-plus-measurement paper.

Its SKILL.md is about 1.2k 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 Research & Science. 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

  • Deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact
  • Covering the 20-page single-column acmsmall budget
  • The rule that decision-critical claims (theorem statements
  • Headline validation) stay inside the reviewed pages

Example prompts

  • “/sigmetrics-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

Sigmetrics Supplementary loads about 1.2k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 427 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 427 words, ~1,183 tokens.

Download SKILL.mdSave it as .claude/skills/sigmetrics-supplementary/SKILL.md (or your agent's skills folder).
name
sigmetrics-supplementary
description
Use when deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact, covering the 20-page single-column acmsmall budget, the rule that decision-critical claims (theorem statements, assumptions, headline validation) stay inside the reviewed pages, full proofs in appendices, double-anonymous supplementary material, and how to split a proof-plus-measurement paper.

SIGMETRICS Supplementary

Use this when assembling SIGMETRICS supplementary material. The governing rule is simple and strict: the paper must be judgeable from the reviewed pages alone. Appendices and the artifact support the paper; they do not hold the argument. Reviewers read the artifact at their discretion, so anything the decision depends on — the theorem statements, their assumptions, and the headline validation — lives in the body.

What goes where

ContentBody (within the 20-page budget)Appendix / artifact
Theorem/bound statements and their assumptionsYes—
Full proofsThe statement + key ideaFull derivations (appendix)
The model and why its assumptions are plausibleYesExtended sensitivity analysis
The headline analysis-vs-measurement validationYesFull simulation sweeps, extra distributions
Baselines and the main comparisonYesFull parameter grids, per-workload tables
Simulator, trace-processing scripts, seeds—Yes (anonymized)
Trace/dataset itselfSummary + provenanceThe processed dataset (or documented access)

If a reviewer would need to open the artifact (or dig into an appendix) to know whether the central claim holds, the paper is mis-partitioned — move that evidence into the body.

The page-budget discipline

SIGMETRICS's acmsmall budget (2026: 20 pages of technical content including tables and figures; plus unlimited references) is single-column and finite for everything except references. Consequences:

  • Keep every theorem statement, its assumptions, and the one figure showing analysis-vs-simulation agreement in the body — they are decision-critical.
  • Full proofs typically go to an appendix; confirm on the current call whether appendices count against the 20 pages or attach separately, because that changes the split.
  • Do not use the appendix or artifact to smuggle in a result that would not fit — a bound whose proof only closes in supplementary material the reviewer may not read reads as unreviewable.
Show full SKILL.md (149 more words)Show less

Double-anonymous supplementary rules

text
[No identity]   no authors, affiliations, acknowledgements, grants, cluster paths, group/system
                names, or trace provenance revealing the institution -- except in the Operational
                Systems Track, which may name the system/org
[Anonymized links] any code/data link points at an anonymizing host, not a personal repo
[Clean archive]  no .git history, .DS_Store, credentials, caches, or large irrelevant files
[Opens clean]    verify the archive unzips and a README orients a reader in one minute on a fresh
                machine (what the model is, how to regenerate a figure, how to check a proof)

Appendix architecture

  • Order appendix sections to mirror the paper: proofs in theorem order, then extended validation.
  • Keep each appendix section referenced from the body at least once — orphaned proofs and sweeps are invisible under discretionary review.
  • A proof appendix should restate the theorem and its assumptions at the top, so it is checkable without flipping back to the body.

Vignette: splitting a proof-plus-measurement paper

A paper with a scheduling theorem and a trace-driven evaluation: the body keeps the model, the theorem statements with assumptions, the proof ideas, the headline analysis-vs-simulation figure, and the main trace-driven comparison with effect sizes; the appendix holds the full proofs and an assumption-sensitivity sweep; the artifact holds the seeded simulator, the trace-processing scripts with pinned provenance, and the analysis notebooks. Nothing decision-critical lives only in the artifact, because artifact inspection is discretionary and the reviewers judge from the pages.

Output format

text
[Supplement status] ready / needs fixes / not ready
[Partition check] anything decision-critical (theorem/assumption/headline validation) outside the body? <none / move: what>
[Page budget] body within 20 pages? appendices counted correctly per the call? yes/no
[Anonymity] archive + appendix clean of identity + metadata? passed/issues (note Operational-track exception)
[Body dependency] <what a reviewer can decide without opening the artifact>

© 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 SIGMETRICS-Skills/skills/sigmetrics-supplementary of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Sigmetrics Supplementary

What does Sigmetrics Supplementary do?

A skill your agent uses when deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact, covering the 20-page single-column acmsmall budget, the rule that…. Sigmetrics Supplementary is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact, covering the 20-page single-column acmsmall budget, the rule that decision-critical claims (theorem statements, assumptions, headline validation) stay inside the reviewed pages, full proofs in appendices, double-anonymous supplementary material, and how to split a proof-plus-measurement paper.

When should I use Sigmetrics Supplementary?

Sigmetrics Supplementary fits situations like: deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact; covering the 20-page single-column acmsmall budget; the rule that decision-critical claims (theorem statements; headline validation) stay inside the reviewed pages.

How do I install Sigmetrics Supplementary in Claude Code?

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

How do I install Sigmetrics Supplementary in Codex?

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

Can I use Sigmetrics 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 sigmetrics-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/sigmetrics-supplementary, .gemini/skills/sigmetrics-supplementary, .github/skills/sigmetrics-supplementary and .opencode/skills/sigmetrics-supplementary in your project.

What does Sigmetrics Supplementary need to run?

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

Does Sigmetrics 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 Sigmetrics 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 Sigmetrics Supplementary use?

Sigmetrics 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 Sigmetrics Supplementary use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Sigmetrics Supplementary?

Skills that share tags, products or a category with Sigmetrics Supplementary: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sigmetrics 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.