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
Atc Artifact Evaluation
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available…
MITAuto-check passed
Install Atc Artifact Evaluation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill atc-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-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/ATC-Skills/skills/atc-artifact-evaluation .claude/skills/atc-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 "atc-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-artifact-evaluation into .claude/skills/atc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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/ATC-Skills/skills/atc-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 atc-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-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/ATC-Skills/skills/atc-artifact-evaluation .agents/skills/atc-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 "atc-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-artifact-evaluation into .agents/skills/atc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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 atc-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-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/ATC-Skills/skills/atc-artifact-evaluation .cursor/skills/atc-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 "atc-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-artifact-evaluation into .cursor/skills/atc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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 ATC-Skills/skills/atc-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 atc-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills atc-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/ATC-Skills/skills/atc-artifact-evaluation .gemini/skills/atc-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 "atc-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-artifact-evaluation into .gemini/skills/atc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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 atc-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 atc-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/ATC-Skills/skills/atc-artifact-evaluation .github/skills/atc-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 "atc-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-artifact-evaluation into .github/skills/atc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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 atc-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 atc-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/ATC-Skills/skills/atc-artifact-evaluation .opencode/skills/atc-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 "atc-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ATC-Skills/skills/atc-artifact-evaluation into .opencode/skills/atc-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "atc-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.
Facts
- Skill name
atc-artifact-evaluation- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 532 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when packaging an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available…
- Packaging an ATC (ACM SIGOPS Annual Technical Conference
- SKILL.md covers The three badges (verify the…, What AEC evaluators open first, Packaging plan and Anonymized review artifact vs.…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available
What it does
Atc Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available, Artifacts Functional, and Results Reproduced badges from the Artifact Evaluation Committee on its separate post-acceptance deadline, with evaluator-proof documentation and a turnkey path to the paper's numbers.
Its SKILL.md is about 1.4k 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
- Packaging an ATC (ACM SIGOPS Annual Technical Conference
- Formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available
- Artifacts Functional
- Results Reproduced badges from the Artifact Evaluation Committee on its separate post-acceptance deadline
Example prompts
- “/atc-artifact-evaluation”
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
Atc Artifact Evaluation loads about 1.4k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 532 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). 532 words, ~1,389 tokens.
Download SKILL.mdSave it as
.claude/skills/atc-artifact-evaluation/SKILL.md (or your agent's skills folder).- name
- atc-artifact-evaluation
- description
- Use when packaging an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available, Artifacts Functional, and Results Reproduced badges from the Artifact Evaluation Committee on its separate post-acceptance deadline, with evaluator-proof documentation and a turnkey path to the paper's numbers.
ATC Artifact Evaluation
Use this for the artifact track. ATC follows the shared USENIX/SIGOPS artifact-evaluation scheme: an Artifact Evaluation Committee (AEC) runs a separate, post-acceptance process through HotCRP and awards up to three badges — Artifacts Available, Artifacts Functional, and Results Reproduced. Two things to internalize: badges are earned by evaluators actually using your package, and the review artifact (anonymized, for the paper's reviewers) is not the same deliverable as the badge artifact (de-anonymized, permanently archived). ATC's artifact culture is strong and high-participation — for USENIX ATC '25, most evaluated artifacts earned Functional and a large majority earned Reproduced.
The three badges (verify the current set and names)
| Badge | What it certifies | What earns it |
|---|---|---|
| Artifacts Available | The artifact is permanently, publicly retrievable | Deposit in a DOI-issuing archive (Zenodo, figshare, Software Heritage) |
| Artifacts Functional | It is documented, complete, and exercisable — it runs and does what the paper says | Clean-machine install, a demo, scripts + data to run the experiments |
| Results Reproduced | An evaluator reproduced the paper's main results | A turnkey path from the artifact to the headline figures/tables |
Available is low-cost, high-value (archive the package). Functional and Reproduced require the evaluator's own run to succeed, so the failure mode is always "did not run on their machine," never "the idea was weak."
What AEC evaluators open first
| Claim type | First thing inspected | Common failure caught |
|---|---|---|
| A built system / mechanism | The README and one install/run command | Undocumented deps; only-works-on-authors'-hardware |
| A performance result | The scripts that turn a run into the paper's figures | Numbers in the PDF no script reproduces |
| A result needing specific hardware (RDMA/NVMe/NIC) | The documented host requirements + a small-scale mode | Requires unavailable hardware; no fallback |
| A trace-driven study | The traces + the processing scripts | Query shipped, data missing; provenance unpinned |
Assume the evaluator has a bounded time budget on a clean machine and may lack your exact hardware. Design the first ten minutes to succeed and provide a reduced-scale path.
Packaging plan
[Container] a Dockerfile or pinned environment; document any host/hardware the container cannot abstract
[README] one-screen orientation: what it is, install, run the demo, reproduce each claim, expected runtime/outputs
[Mapping] an explicit table: paper claim -> script -> expected figure/table -> tolerance
[Scale] a full-scale path AND a small-scale mode for evaluators without the hardware
[Data] the traces/datasets themselves (or durable documented access), not just the query
[Provenance] kernel/OS versions, hardware models, commit SHAs, workload seeds, run counts
[License] an OSI-approved license so the artifact can be shared and reused
[Archive] deposit in a DOI-issuing repository for the Available badgeShow full SKILL.md (213 more words)Show less
Anonymized review artifact vs. badge artifact
- At submission (review): anonymized for the paper's double-blind reviewers — no owner strings,
cluster hostnames, lab/product names, or identity-revealing links, and no live repo that discloses
authors (see
atc-reproducibility). - After acceptance (badge): replace anonymized placeholders with the public, licensed, DOI-issuing archive; this is the version the AEC badges and the camera-ready cites.
Worked vignette: a storage-cache policy + measurement
A paper contributes a flash-cache admission policy and a testbed evaluation. To target Functional and
Reproduced: ship a container with the modified server pre-built; a run_demo.sh that exercises the
policy on a bundled trace sample in a minute; a reproduce/ directory whose scripts regenerate each
figure from logged runs; a claim-to-script mapping with tolerances in the README; the
production-derived trace sample (with pinned provenance) plus documentation of the full trace's
access; a documented note that the full-scale p99 result needs the 12-node testbed, with a
single-node small-scale mode; and an MIT/Apache license. State honestly which results are
full-scale-only.
Calibration
- The AEC deadline is after acceptance and independent of the camera-ready — do not conflate
them (plan both in
atc-workflow). - Badge names, the exact set offered, and whether evaluation is single- or double-anonymous can vary by cycle and moved in the SIGOPS transition — confirm on the current call for artifacts.
Output format
[Target badges] Available / Functional / Reproduced
[Artifact role] anonymized review artifact / public badge artifact
[Contents] <system/data/scripts/provenance/license/archive>
[Ten-minute test] install + demo succeed on a clean machine? yes/no
[Reproduce] claim -> script -> expected figure present? small-scale mode for missing hardware? yes/no
[Fixes before upload] <ordered list>© 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 ATC-Skills/skills/atc-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Atc 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 |
|---|---|---|---|---|---|---|
| Atc Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Arize Evaluatorgithub/awesome-copilot | 40k | 1 repos | ~8.1k | Automated safety check: Notes | MIT | |
| Ccs Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~969 | Automated safety check: Pass | MIT | |
| Sigcomm Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Sigmetrics Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Socc Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT |
Similar skills
- Official
Ccs Artifact Evaluation
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging ACM CCS artifacts for the artifact-evaluation committee and the ACM badges — Artifacts Available, Artifacts Evaluated Functional, Artifacts Evaluated Reusable…
Sigcomm Artifact Evaluation
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging an ACM SIGCOMM paper's code, traces, topologies, and configuration for the artifact-evaluation committee — choosing ACM badges (Artifacts Available, Evaluated…
Sigmetrics Artifact Evaluation
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging an ACM SIGMETRICS artifact for the ACM Artifact Review and Badging scheme (Artifacts Available, Evaluated Functional and Reusable, Results Reproduced)…
Socc Artifact Evaluation
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging an ACM SoCC artifact for the ACM Artifact Review and Badging scheme (Artifacts Available, Evaluated Functional and Reusable, Results Reproduced), covering what…
Mobisys Artifact Evaluation
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging a MobiSys artifact for the Artifact Evaluation Committee — choosing among the three independent ACM badges (Available, Evaluated–Functional, Results…
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag 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…
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…
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…
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…
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…
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…
Questions about Atc Artifact Evaluation
What does Atc Artifact Evaluation do?
A skill your agent uses when packaging an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available…. Atc Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available, Artifacts Functional, and Results Reproduced badges from the Artifact Evaluation Committee on its separate post-acceptance deadline, with evaluator-proof documentation and a turnkey path to the paper's numbers.
When should I use Atc Artifact Evaluation?
Atc Artifact Evaluation fits situations like: packaging an ATC (ACM SIGOPS Annual Technical Conference; formerly USENIX ATC) artifact for the USENIX-lineage evaluation scheme — earning the Artifacts Available; artifacts Functional; results Reproduced badges from the Artifact Evaluation Committee on its separate post-acceptance deadline.
How do I install Atc Artifact Evaluation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill atc-artifact-evaluation -a claude-code`. Or copy the skill folder (ATC-Skills/skills/atc-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/atc-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Atc Artifact Evaluation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill atc-artifact-evaluation -a codex`. Or copy the skill folder (ATC-Skills/skills/atc-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/atc-artifact-evaluation in your project. Codex loads it when a task matches its description.
Can I use Atc Artifact Evaluation 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 atc-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/atc-artifact-evaluation, .gemini/skills/atc-artifact-evaluation, .github/skills/atc-artifact-evaluation and .opencode/skills/atc-artifact-evaluation in your project.
What does Atc Artifact Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Atc Artifact Evaluation is instructions for the agent only.
Does Atc Artifact Evaluation 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 Atc Artifact Evaluation 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 Atc Artifact Evaluation use?
Atc 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.
How many tokens does Atc Artifact Evaluation use?
About 1.4k tokens (SKILL.md is roughly 5.6k 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 Atc Artifact Evaluation?
Skills that share tags, products or a category with Atc Artifact Evaluation: Arize Evaluator (github/awesome-copilot, 40k stars), Ccs Artifact Evaluation (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Sigcomm Artifact Evaluation (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Sigmetrics Artifact Evaluation (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Atc Artifact Evaluation?
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.