Agent skill

Sigmetrics Related Work

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

A skill your agent uses when positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS, Performance Evaluation, QUESTA, TON, and the…

MITAuto-check passedResearch & Science

Install Sigmetrics Related Work

skills CLI

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

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-related-work --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-related-work .claude/skills/sigmetrics-related-work && 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/

Paste into Claude Code

Install the "sigmetrics-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-related-work into .claude/skills/sigmetrics-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-related-work", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-related-work

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-related-work -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-related-work --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SIGMETRICS-Skills/skills/sigmetrics-related-work .agents/skills/sigmetrics-related-work && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "sigmetrics-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-related-work into .agents/skills/sigmetrics-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-related-work", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-related-work -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-related-work --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SIGMETRICS-Skills/skills/sigmetrics-related-work .cursor/skills/sigmetrics-related-work && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "sigmetrics-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-related-work into .cursor/skills/sigmetrics-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-related-work", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path SIGMETRICS-Skills/skills/sigmetrics-related-work

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-related-work -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-related-work --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SIGMETRICS-Skills/skills/sigmetrics-related-work .gemini/skills/sigmetrics-related-work && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "sigmetrics-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-related-work into .gemini/skills/sigmetrics-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-related-work", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-related-work

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-related-work -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/SIGMETRICS-Skills/skills/sigmetrics-related-work .github/skills/sigmetrics-related-work && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "sigmetrics-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-related-work into .github/skills/sigmetrics-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-related-work", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-related-work -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-related-work --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SIGMETRICS-Skills/skills/sigmetrics-related-work .opencode/skills/sigmetrics-related-work && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "sigmetrics-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-related-work into .opencode/skills/sigmetrics-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-related-work", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: sigmetrics-related-work
GitHub stars: 1.2k
Token cost: ~1.3k tokens
SKILL.md length: 491 words
Files: 1
Skills in repo: 2,387
Repo updated: Sep 27, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS, Performance Evaluation, QUESTA, TON, and the…

Positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS
SKILL.md covers Positioning checks, Performance-evaluation…, Delta-first positioning vignette and Concurrent and prior-version…, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Performance Evaluation

What it does

Sigmetrics Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS, Performance Evaluation, QUESTA, TON, and the systems/learning/measurement neighbors (NSDI/OSDI, IMC, NeurIPS/ICML), writing delta-first contrast rather than a citation catalog, keeping self-citations double-anonymous, and handling concurrent and prior-version overlap.

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.

It sits in Research & Science, covering Literature review, Citation management and Positioning and messaging. 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

Positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS
Performance Evaluation
The systems/learning/measurement neighbors (NSDI/OSDI
Writing delta-first contrast rather than a citation catalog

Example prompts

“/sigmetrics-related-work”

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 Related Work loads about 1.3k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 491 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~104
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). 491 words, ~1,284 tokens.

Download SKILL.mdSave it as .claude/skills/sigmetrics-related-work/SKILL.md (or your agent's skills folder).

name: sigmetrics-related-work
description: Use when positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS, Performance Evaluation, QUESTA, TON, and the systems/learning/measurement neighbors (NSDI/OSDI, IMC, NeurIPS/ICML), writing delta-first contrast rather than a citation catalog, keeping self-citations double-anonymous, and handling concurrent and prior-version overlap.

Use this to audit novelty and eligibility. SIGMETRICS reviewers are close to the performance-evaluation literature and expect to see where your paper sits relative to the nearest prior model, bound, or measurement — stated as a delta, not a list. Reopen the current call for the simultaneous-submission and prior-publication rules (a paper under one-shot revision counts as under submission) before advising authors.

Positioning checks

Separate the analytic/measurement novelty from the engineering effort. What is new: a tighter bound, a more general model, a policy that provably beats a known one, a measurement of a system nobody had characterized, or a learning algorithm with a new guarantee?
Cover the performance-evaluation lanes (see the table), not just the papers nearest your method. A bibliography missing the obvious queueing-theory predecessor or the prior measurement of the same system reads as unaware.
Write delta-first. Each closely related paper gets one sentence naming what it did and one naming what you do differently — a tighter bound, a weaker assumption, a broader policy class, a larger/newer measurement — not a summary.
Preserve double-anonymity. Cite your own prior work in the third person and never link reviewers to an identity-revealing preprint, system page, or repository (Operational Systems Track excepted).
Declare overlap with any prior conference/workshop version or concurrent submission; do not re-submit archival work as new.

Performance-evaluation literature lanes

Lane	Typical venues	What SIGMETRICS reviewers check
Core performance evaluation	SIGMETRICS/POMACS, Performance Evaluation, QUESTA	Whether the nearest model/bound/measurement is compared or distinguished
Systems (when you claim a systems payoff)	NSDI, OSDI, SIGCOMM, ATC	Whether the system you improve/measure is credited and fairly baselined
Measurement	IMC, PAM, INFOCOM	Whether prior measurements of the same system/workload are engaged
Learning (Learning track)	NeurIPS, ICML, COLT	Whether the learning-theoretic predecessor (regret bounds, algorithms) is cited to its origin
Networking/queueing journals	IEEE/ACM TON, QUESTA, Stochastic Models	Whether deeper journal-length analyses of the model are engaged

A bibliography that cites only your own subarea tells a reviewer the delta may be smaller than claimed; one that reaches the neighboring theory, systems, and measurement venues signals command of the field.

Show full SKILL.md (145 more words)Show less

Delta-first positioning vignette

Suppose the paper proves a tail-latency bound for a rank-based scheduler. Its nearest neighbors: a prior analysis of a single age-based policy (one policy, mean latency), a general scheduling framework (broad class, but no tail bound), and a measurement study of the target system (data, no policy analysis). The novelty sentence should name all three contrasts — a tail bound where the single-policy analysis gave only mean, a provable tail guarantee where the framework gave none, and a policy with analysis where the measurement gave only characterization.

Concurrent and prior-version judgment calls

text

[Concurrent arXiv work]   cite neutrally, state the technical difference (tighter bound? weaker
                          assumption? newer measurement?), avoid unverifiable priority claims;
                          keep the citation double-anonymous
[Your workshop version]   usually non-archival and citable, but confirm against the current call
                          wording and phrase so anonymity survives
[Prior short version]     declare the overlap and state what the full paper adds (proofs, validation)
[Paper under one-shot revision] it is under submission to SIGMETRICS -- do not submit it elsewhere
                          before withdrawing

Eligibility red flags

Substantial text/result overlap with a published paper by the same authors (self-plagiarism risk).
A "new" analysis that re-derives a known bound without a tighter result or weaker assumption.
Citations exclusively to non-performance-evaluation venues, signaling the paper may be a systems or learning paper rerouted without reframing.

Output format

text

[Eligibility] clear / needs declaration / risky
[Lanes covered] <performance-eval / systems / measurement / learning / journals>
[Nearest 3 works] <work -> one-line delta (tighter bound / weaker assumption / broader class / newer data)>
[Archival-overlap risk] <none / declare: what>
[Novelty sentence] <SIGMETRICS-ready contribution contrast against the nearest prior work>

Files

Just SKILL.md in SIGMETRICS-Skills/skills/sigmetrics-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Sigmetrics Related Work 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.

Sigmetrics Related Work compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Sigmetrics Related Work this skillbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~1.3k	Automated safety check: Pass	MIT	14 days ago
Ieee Paper ReaderCloudWave818/ieee-skills	359	—	~591	Automated safety check: Pass	MIT	2 mo ago
Gec Literature Positioningfranklee16/academic-research-skills	223	1 repos	~855	Automated safety check: Pass	None	22 days ago
Jpe Literature Positioningfranklee16/academic-research-skills	223	1 repos	~1.1k	Automated safety check: Pass	None	22 days ago
Systematic Review ScreenerImbad0202/academic-research-skills	51k	—	~8.4k	Automated safety check: Pass	Custom licence	yesterday
Literature Reviewneflibata-feng/MyArxiv-Agent	126	20 repos	~5.9k	Automated safety check: Notes	MIT	today

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Questions about Sigmetrics Related Work

What does Sigmetrics Related Work do?

A skill your agent uses when positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS, Performance Evaluation, QUESTA, TON, and the…. Sigmetrics Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS, Performance Evaluation, QUESTA, TON, and the systems/learning/measurement neighbors (NSDI/OSDI, IMC, NeurIPS/ICML), writing delta-first contrast rather than a citation catalog, keeping self-citations double-anonymous, and handling concurrent and prior-version overlap.

When should I use Sigmetrics Related Work?

Sigmetrics Related Work fits situations like: positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS; performance Evaluation; the systems/learning/measurement neighbors (NSDI/OSDI; writing delta-first contrast rather than a citation catalog.

How do I install Sigmetrics Related Work in Claude Code?

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

How do I install Sigmetrics Related Work in Codex?

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

Can I use Sigmetrics Related Work 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-related-work -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-related-work, .gemini/skills/sigmetrics-related-work, .github/skills/sigmetrics-related-work and .opencode/skills/sigmetrics-related-work in your project.

What does Sigmetrics Related Work need to run?

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

Does Sigmetrics Related Work 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 Related Work 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 Related Work use?

Sigmetrics Related Work 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 Related Work 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 Sigmetrics Related Work?

Skills that share tags, products or a category with Sigmetrics Related Work: Ieee Paper Reader (CloudWave818/ieee-skills, 359 stars), Gec Literature Positioning (franklee16/academic-research-skills, 223 stars), Jpe Literature Positioning (franklee16/academic-research-skills, 223 stars) and Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sigmetrics Related Work?

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.

Install Sigmetrics Related Work

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md