Arize Evaluator
github/awesome-copilot
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and…
Agent skill
Sigmetrics Review Process
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when reasoning about how an ACM SIGMETRICS submission is evaluated, covering the hybrid conference-journal model, double-anonymous review, the three first-round outcomes…
MITAuto-check passed
Install Sigmetrics Review Process
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-review-process -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-review-process --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-review-process .claude/skills/sigmetrics-review-process && rm -rf skills-srcUse ~/.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/
Install the "sigmetrics-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-review-process into .claude/skills/sigmetrics-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-review-process", 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 install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-review-processType 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.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-review-process -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-review-process --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-review-process .agents/skills/sigmetrics-review-process && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sigmetrics-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-review-process into .agents/skills/sigmetrics-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-review-process", 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.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-review-process -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-review-process --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-review-process .cursor/skills/sigmetrics-review-process && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sigmetrics-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-review-process into .cursor/skills/sigmetrics-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-review-process", 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 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path SIGMETRICS-Skills/skills/sigmetrics-review-process--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-review-process -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-review-process --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-review-process .gemini/skills/sigmetrics-review-process && rm -rf skills-srcUse ~/.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/
Install the "sigmetrics-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-review-process into .gemini/skills/sigmetrics-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-review-process", 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.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-review-processInstalls 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).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-review-process -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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-review-process .github/skills/sigmetrics-review-process && rm -rf skills-srcUse ~/.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/
Install the "sigmetrics-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-review-process into .github/skills/sigmetrics-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-review-process", 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.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-review-process -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-review-process --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-review-process .opencode/skills/sigmetrics-review-process && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sigmetrics-review-process" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-review-process into .opencode/skills/sigmetrics-review-process/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-review-process", 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-review-process- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 661 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when reasoning about how an ACM SIGMETRICS submission is evaluated, covering the hybrid conference-journal model, double-anonymous review, the three first-round outcomes…
- Reasoning about how an ACM SIGMETRICS submission is evaluated
- SKILL.md covers Process model, Reading a decision against the…, The one-shot-revision… and How SIGMETRICS differs from…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering the hybrid conference-journal model
What it does
Sigmetrics Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how an ACM SIGMETRICS submission is evaluated, covering the hybrid conference-journal model, double-anonymous review, the three first-round outcomes (Accept-with-shepherding / One-Shot Revision / Reject), the one-shot revision resubmitted to a subsequent rolling deadline, the 12-month resubmission bar, and how SIGMETRICS differs from IMC, SIGCOMM, and NSDI.
Its SKILL.md is about 1.6k 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
- Reasoning about how an ACM SIGMETRICS submission is evaluated
- Covering the hybrid conference-journal model
- Double-anonymous review
- The three first-round outcomes (Accept-with-shepherding / One-Shot Revision / Reject)
Example prompts
- “/sigmetrics-review-process”
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 Review Process loads about 1.6k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 661 words of instructions outside code blocks.
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). 661 words, ~1,593 tokens.
Download SKILL.mdSave it as
.claude/skills/sigmetrics-review-process/SKILL.md (or your agent's skills folder).- name
- sigmetrics-review-process
- description
- Use when reasoning about how an ACM SIGMETRICS submission is evaluated, covering the hybrid conference-journal model, double-anonymous review, the three first-round outcomes (Accept-with-shepherding / One-Shot Revision / Reject), the one-shot revision resubmitted to a subsequent rolling deadline, the 12-month resubmission bar, and how SIGMETRICS differs from IMC, SIGCOMM, and NSDI.
SIGMETRICS Review Process
Model the pipeline before interpreting any single review. SIGMETRICS's process is a hybrid of the conference and journal models: papers are POMACS articles, and the first-round decision is one of three outcomes, not a binary accept/reject. The most consequential mental shift for authors arriving from a plain conference is that One-Shot Revision is a real revise-and-resubmit round — but, unlike an open-ended journal R&R, it is single-shot and re-reviewed against an explicit list of required changes.
Process model
- Submission and review run on HotCRP, one site per rolling deadline, with double-anonymous review (the Operational Systems Track may reveal the deploying org/system).
- Reviewers weigh the rigor of the model or measurement, the correctness of proofs, the validity of assumptions, the fairness and soundness of any empirical/simulation evidence, novelty, and reproducibility. SIGMETRICS reviewers check theorems, not just plots.
- Three first-round outcomes:
- Accept — every accepted paper is shepherded, so reviewer-required changes are incorporated into the final POMACS version.
- One-Shot Revision — a major-revision decision: the authors receive a summary of merits and a list of necessary changes, and may resubmit a revised version to one of the two subsequent SIGMETRICS/Performance deadlines, where it is re-reviewed (generally by the original reviewers).
- Reject — may not be resubmitted to any SIGMETRICS deadline within 12 months of the initial submission.
- Accepted papers publish in POMACS; summer/fall acceptances appear before the conference.
Reading a decision against the categories
| Decision | What it means | Author move |
|---|---|---|
| Accept (shepherded) | Rigor and evidence hold; shepherd will enforce specific fixes | Execute the shepherd's list precisely; do not reopen scope |
| One-Shot Revision | Repairable gaps: a missing proof case, an unvalidated assumption, a needed experiment | Treat as a single-shot R&R: close every listed change, resubmit to a subsequent deadline |
| Reject | Structural: flawed model, wrong metric, unfixable evidence | Reframe or reroute; you cannot resubmit to SIGMETRICS for 12 months |
The strategic reading: write the initial submission so that whatever is weakest is fixable in one revision round (a proof case you can add, a simulation you can run) rather than structural (a model that does not capture the system). The process rewards repairable papers, but the revision is one shot — a second revision is not offered.
Show full SKILL.md (300 more words)Show less
The one-shot-revision mechanics (the distinctive SIGMETRICS move)
- You get one resubmission, targeting one of the next two deadlines — pick the one that gives you enough time to close the list without rushing.
- The revision is judged against the explicit list of required changes, not re-opened for new objections in principle; unaddressed items are what turn the single shot into a reject.
- Simultaneous-submission caution: a paper under one-shot revision is considered under submission to SIGMETRICS. Submitting it elsewhere before withdrawing is a dual-submission violation.
How SIGMETRICS differs from its siblings
- vs. IMC (Internet Measurement Conference): IMC is a single-annual-deadline, measurement-only venue; SIGMETRICS runs three rolling deadlines, publishes in POMACS, and welcomes theory and learning alongside measurement. Do not assume IMC's calendar, scope, or accept/reject binary.
- vs. SIGCOMM / NSDI: those are networking-systems conferences with rebuttal-then-decision cycles; SIGMETRICS's identity is the rigorous performance-evaluation framing (proofs of bounds) and the one-shot-revision journal hybrid. A systems-building paper often fits NSDI/OSDI better than SIGMETRICS.
- vs. an open-ended journal (TON, Performance Evaluation): those allow multiple revision rounds; SIGMETRICS gives exactly one and ties publication to a conference presentation.
Who reads you
Expect reviewers who are performance-evaluation specialists: they will read a proof for a missing case, ask whether the M/G/1 (or other) assumptions match the measured workload, check whether a baseline is fairly tuned, and open the simulator to see whether the analytic curve really matches. Vague assumptions and hand-waved proofs get caught, not skimmed.
Where author leverage actually exists
[Before submission] track + abstract -> reviewer pool (largest lever)
[Initial reviews] factual corrections, a missing proof case, an added assumption-validity check
[One-Shot Revision] the strongest lever: close every listed change, resubmit to a later deadline,
re-read by the same reviewers -- but only once
[After reject] no appeal; 12-month bar on SIGMETRICS resubmission -> reroute meanwhileMisreadings to avoid
- Treating One-Shot Revision as a guaranteed accept — the re-review is real and single-shot.
- Assuming you can revise twice — you cannot; budget the one revision to close everything.
- Forgetting the 12-month bar after a reject when planning the calendar.
- Ignoring the shepherd on an accept — unincorporated shepherd requests can hold the final version.
Output format
[Process stage] pre-submission / awaiting reviews / one-shot revision / shepherding / accepted
[Decision category] accept / one-shot revision / reject, with the criterion driving it
[Criterion map] each review point -> rigor | proof correctness | assumption validity | evidence | novelty | reproducibility
[Revision plan] which subsequent deadline, and the closed-list of required changes
[Forbidden moves] identity leak / dual-submission while under one-shot revision / unaddressed listed change© 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-review-process of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Sigmetrics Review Process 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sigmetrics Review Process this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| LLM Evaluationdavila7/claude-code-templates | 33k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| Deepseek Reasonruvnet/ruflo | 74k | — | ~626 | Automated safety check: Notes | MIT | |
| EvaluatorsArize-ai/phoenix | 12k | — | ~1.7k | Automated safety check: Pass | Custom licence |
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Deepseek Reason
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Reasoning-mode completion against DeepSeek's deepseek-reasoner model (R1) via /v1/chat/completions.
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Questions about Sigmetrics Review Process
What does Sigmetrics Review Process do?
A skill your agent uses when reasoning about how an ACM SIGMETRICS submission is evaluated, covering the hybrid conference-journal model, double-anonymous review, the three first-round outcomes…. Sigmetrics Review Process is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when reasoning about how an ACM SIGMETRICS submission is evaluated, covering the hybrid conference-journal model, double-anonymous review, the three first-round outcomes (Accept-with-shepherding / One-Shot Revision / Reject), the one-shot revision resubmitted to a subsequent rolling deadline, the 12-month resubmission bar, and how SIGMETRICS differs from IMC, SIGCOMM, and NSDI.
When should I use Sigmetrics Review Process?
Sigmetrics Review Process fits situations like: reasoning about how an ACM SIGMETRICS submission is evaluated; covering the hybrid conference-journal model; double-anonymous review; the three first-round outcomes (Accept-with-shepherding / One-Shot Revision / Reject).
How do I install Sigmetrics Review Process in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-review-process -a claude-code`. Or copy the skill folder (SIGMETRICS-Skills/skills/sigmetrics-review-process in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/sigmetrics-review-process in your project. Claude Code loads it when a task matches its description.
How do I install Sigmetrics Review Process in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-review-process -a codex`. Or copy the skill folder (SIGMETRICS-Skills/skills/sigmetrics-review-process in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/sigmetrics-review-process in your project. Codex loads it when a task matches its description.
Can I use Sigmetrics Review Process 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-review-process -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-review-process, .gemini/skills/sigmetrics-review-process, .github/skills/sigmetrics-review-process and .opencode/skills/sigmetrics-review-process in your project.
What does Sigmetrics Review Process need to run?
SKILL.md names no scripts, command-line tools or credentials: Sigmetrics Review Process is instructions for the agent only.
Does Sigmetrics Review Process 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 Review Process 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 Review Process use?
Sigmetrics Review Process 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 Review Process use?
About 1.6k tokens (SKILL.md is roughly 6.4k 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 Sigmetrics Review Process?
Skills that share tags, products or a category with Sigmetrics Review Process: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Deepseek Reason (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sigmetrics Review Process?
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.