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
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when preparing a EuroSys artifact for the sysartifacts-run evaluation — choosing among the Available, Functional, and Reproduced badges, timing the post-notification artifact…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eurosys-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eurosys-artifact-evaluation --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/EuroSys-Skills/skills/eurosys-artifact-evaluation .claude/skills/eurosys-artifact-evaluation && 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 "eurosys-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-artifact-evaluation into .claude/skills/eurosys-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-artifact-evaluation", 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/EuroSys-Skills/skills/eurosys-artifact-evaluationType 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 eurosys-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eurosys-artifact-evaluation --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/EuroSys-Skills/skills/eurosys-artifact-evaluation .agents/skills/eurosys-artifact-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "eurosys-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-artifact-evaluation into .agents/skills/eurosys-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-artifact-evaluation", 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 eurosys-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eurosys-artifact-evaluation --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/EuroSys-Skills/skills/eurosys-artifact-evaluation .cursor/skills/eurosys-artifact-evaluation && 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 "eurosys-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-artifact-evaluation into .cursor/skills/eurosys-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-artifact-evaluation", 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 EuroSys-Skills/skills/eurosys-artifact-evaluation--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 eurosys-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eurosys-artifact-evaluation --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/EuroSys-Skills/skills/eurosys-artifact-evaluation .gemini/skills/eurosys-artifact-evaluation && 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 "eurosys-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-artifact-evaluation into .gemini/skills/eurosys-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-artifact-evaluation", 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 eurosys-artifact-evaluationInstalls 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 eurosys-artifact-evaluation -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/EuroSys-Skills/skills/eurosys-artifact-evaluation .github/skills/eurosys-artifact-evaluation && 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 "eurosys-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-artifact-evaluation into .github/skills/eurosys-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-artifact-evaluation", 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 eurosys-artifact-evaluation -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 eurosys-artifact-evaluation --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/EuroSys-Skills/skills/eurosys-artifact-evaluation .opencode/skills/eurosys-artifact-evaluation && 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 "eurosys-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-artifact-evaluation into .opencode/skills/eurosys-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-artifact-evaluation", 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.
eurosys-artifact-evaluationA skill your agent uses when preparing a EuroSys artifact for the sysartifacts-run evaluation — choosing among the Available, Functional, and Reproduced badges, timing the post-notification artifact…
Eurosys Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing a EuroSys artifact for the sysartifacts-run evaluation — choosing among the Available, Functional, and Reproduced badges, timing the post-notification artifact submission, building for an evaluator on foreign hardware, and aiming at the Gilles Muller Best Artifact Award rather than a minimal pass.
Its SKILL.md is about 1.5k 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Eurosys Artifact Evaluation loads about 1.5k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 660 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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 660 words, ~1,482 tokens.
.claude/skills/eurosys-artifact-evaluation/SKILL.md (or your agent's skills folder).Use this when an accepted (or optimistically, submitted) EuroSys paper has code,
data, or hardware behind its claims. EuroSys artifact evaluation is organized
with the sysartifacts community (sysartifacts.github.io/eurosys2026/,
rendered 2026-07-08); it is optional, happens after acceptance notification,
and awards up to three badges that appear on the published paper. The EuroSys
2027 call for artifacts was not yet verifiable on 2026-07-08 — 待核实 before
committing to dates or badge criteria.
Authors declare which badges they want; the AEC grants zero to three.
| Badge | EuroSys 2026 criterion (rendered) | Typical blocker |
|---|---|---|
| Available | Artifact retrievable from a public, DOI-backed archive | "It's on our GitHub" — mutable, not archival |
| Functional | Complete, documented, exercisable as described | Undocumented cluster assumptions; missing inputs |
| Reproduced | Paper's main claims independently re-obtained | Experiments needing hardware the AEC cannot access |
Sensible combinations tracked by the process: all three for ordinary software artifacts; Available + Functional for datasets or custom-environment systems; Functional + Reproduced when the artifact itself cannot be published. Pick the target set before packaging — each badge changes what you build.
The AEC member is a systems student on hardware you did not choose, with a fixed time budget and no context beyond your paper. EuroSys evaluations have run a kick-the-tires phase with author interaction in past cycles (待核实 for the current one), but the artifact should survive with zero interaction:
artifact/
├── README.md # claim -> experiment -> command -> expected result
├── Dockerfile # or environment.lock + install script
├── run_functional.sh # ~15 min, exercises every component
├── run_full.sh # regenerates Figs 5-9, prints runtime estimate
├── data/ # inputs or fetch script with checksums
└── expected/ # reference outputs + tolerance notesPush the evaluated snapshot — not a later fix — to a DOI-minting archive (Zenodo is the norm in this community), record the DOI in the camera-ready availability section, and keep the GitHub repository as the living mirror. A tag on a mutable host does not satisfy the badge's permanence requirement.
EuroSys names an artifact prize — the Gilles Muller Best Artifact Award (EuroSys 2023 awards page; the award honors the late Gilles Muller, whose EuroSys '08 Coccinelle work won a Test-of-Time award). Committees remember artifacts that reproduce headline numbers unattended; that reputation follows the system into follow-up papers and adoption.
Write three layers, in this order of effort:
An artifact with only layer 3 — however thorough — evaluates as undocumented, because the evaluator's clock runs out before the claims map they needed emerges from the prose.
[Badge target] Available / +Functional / +Reproduced (with rationale)
[Evaluator path] <first command an AEC member runs, and its runtime>
[Claim coverage] <paper claim -> script -> expected output>
[Hardware honesty] <what the AEC cannot reproduce, and the declared fallback>
[Archival plan] <DOI host, snapshot timing relative to camera-ready>
[待核实] <current call-for-artifacts dates, badge wording, kick-the-tires>© 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
Just SKILL.md in EuroSys-Skills/skills/eurosys-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Eurosys Artifact Evaluation 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 |
|---|---|---|---|---|---|---|
| Eurosys Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| Artifacts Buildernexu-io/open-design | 100k | — | ~347 | Automated safety check: Pass | Apache-2.0 | |
| LLM Evaluationdavila7/claude-code-templates | 33k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Web Artifacts Builderanthropics/skills | 180k | 40 repos | ~769 | Automated safety check: Pass | Apache-2.0 | |
| Agent Evaluationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2k | Automated safety check: Pass | MIT |
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…
nexu-io/open-design
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui).
davila7/claude-code-templates
Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.
anthropics/skills
Builds multi-component claude.ai HTML artifacts as a small React, TypeScript and Tailwind project, then bundles it into one shareable HTML file.
sickn33/agentic-awesome-skills
Evaluate agent behavior with versioned cases and explicit verifiers.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when preparing an OSDI artifact for sysartifacts-run evaluation — the post-acceptance timeline, the 2026 narrowing to a single Artifacts Available badge, Zenodo-grade…
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…
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…
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…
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…
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…
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…
A skill your agent uses when preparing a EuroSys artifact for the sysartifacts-run evaluation — choosing among the Available, Functional, and Reproduced badges, timing the post-notification artifact…. Eurosys Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing a EuroSys artifact for the sysartifacts-run evaluation — choosing among the Available, Functional, and Reproduced badges, timing the post-notification artifact submission, building for an evaluator on foreign hardware, and aiming at the Gilles Muller Best Artifact Award rather than a minimal pass.
Eurosys Artifact Evaluation fits situations like: preparing a EuroSys artifact for the sysartifacts-run evaluation — choosing among the Available; reproduced badges; timing the post-notification artifact submission; building for an evaluator on foreign hardware.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eurosys-artifact-evaluation -a claude-code`. Or copy the skill folder (EuroSys-Skills/skills/eurosys-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/eurosys-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eurosys-artifact-evaluation -a codex`. Or copy the skill folder (EuroSys-Skills/skills/eurosys-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/eurosys-artifact-evaluation in your project. Codex loads it when a task matches its description.
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 eurosys-artifact-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eurosys-artifact-evaluation, .gemini/skills/eurosys-artifact-evaluation, .github/skills/eurosys-artifact-evaluation and .opencode/skills/eurosys-artifact-evaluation in your project.
SKILL.md names no scripts, command-line tools or credentials: Eurosys Artifact Evaluation is instructions for the agent only.
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.
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.
Eurosys Artifact Evaluation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Eurosys Artifact Evaluation: Arize Evaluator (github/awesome-copilot, 40k stars), Artifacts Builder (nexu-io/open-design, 100k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars) and Web Artifacts Builder (anthropics/skills, 180k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.