Autom Automation
ComposioHQ/awesome-claude-skills
Automate Autom tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
Agent skill
Ase Artifact Evaluation
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when preparing an accepted ASE (IEEE/ACM Automated Software Engineering) paper's tool and data for the Artifact Evaluation track, targeting the ACM Artifacts Available and…
MITAuto-check passed
Install Ase Artifact Evaluation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ase-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/ASE-Skills/skills/ase-artifact-evaluation .claude/skills/ase-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 "ase-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ASE-Skills/skills/ase-artifact-evaluation into .claude/skills/ase-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ase-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/ASE-Skills/skills/ase-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 ase-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ase-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/ASE-Skills/skills/ase-artifact-evaluation .agents/skills/ase-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 "ase-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ASE-Skills/skills/ase-artifact-evaluation into .agents/skills/ase-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ase-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 ase-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ase-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/ASE-Skills/skills/ase-artifact-evaluation .cursor/skills/ase-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 "ase-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ASE-Skills/skills/ase-artifact-evaluation into .cursor/skills/ase-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ase-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 ASE-Skills/skills/ase-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 ase-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ase-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/ASE-Skills/skills/ase-artifact-evaluation .gemini/skills/ase-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 "ase-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ASE-Skills/skills/ase-artifact-evaluation into .gemini/skills/ase-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ase-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 ase-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 ase-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/ASE-Skills/skills/ase-artifact-evaluation .github/skills/ase-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 "ase-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ASE-Skills/skills/ase-artifact-evaluation into .github/skills/ase-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ase-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 ase-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 ase-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/ASE-Skills/skills/ase-artifact-evaluation .opencode/skills/ase-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 "ase-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ASE-Skills/skills/ase-artifact-evaluation into .opencode/skills/ase-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ase-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
ase-artifact-evaluation- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 358 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when preparing an accepted ASE (IEEE/ACM Automated Software Engineering) paper's tool and data for the Artifact Evaluation track, targeting the ACM Artifacts Available and…
- Preparing an accepted ASE (IEEE/ACM Automated Software Engineering) papers tool and data for the Artifact Evaluation track
- SKILL.md covers The two badges (verify the…, From the submission artifact…, Reusable is about strangers,… and Evaluator-proofing checklist, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Targeting the ACM Artifacts Available and Artifacts Reusable badges on the tracks own deadline
What it does
Ase Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ASE (IEEE/ACM Automated Software Engineering) paper's tool and data for the Artifact Evaluation track, targeting the ACM Artifacts Available and Artifacts Reusable badges on the track's own deadline, with the badge shown on the paper's front page in both IEEE Xplore and the ACM Digital Library.
Its SKILL.md is about 1.1k 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
- Preparing an accepted ASE (IEEE/ACM Automated Software Engineering) papers tool and data for the Artifact Evaluation track
- Targeting the ACM Artifacts Available and Artifacts Reusable badges on the tracks own deadline
- With the badge shown on the papers front page in both IEEE Xplore and the ACM Digital Library
Example prompts
- “s own deadline, with the badge shown on the paper”
- “/ase-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
Ase Artifact Evaluation loads about 1.1k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 358 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). 358 words, ~1,072 tokens.
Download SKILL.mdSave it as
.claude/skills/ase-artifact-evaluation/SKILL.md (or your agent's skills folder).- name
- ase-artifact-evaluation
- description
- Use when preparing an accepted ASE (IEEE/ACM Automated Software Engineering) paper's tool and data for the Artifact Evaluation track, targeting the ACM Artifacts Available and Artifacts Reusable badges on the track's own deadline, with the badge shown on the paper's front page in both IEEE Xplore and the ACM Digital Library.
ASE Artifact Evaluation
Convert the accepted paper's package into badges. ASE runs an Artifact Evaluation track offering the Artifacts Available and Artifacts Reusable badges (ACM scheme). Because ASE proceedings are indexed in both IEEE Xplore and the ACM Digital Library, an earned badge appears on the paper's front page in both. Evaluation happens on the track's own deadline, separate from the research-track notification — stage the package before then.
The two badges (verify the current call)
- Artifacts Available — the artifact is placed in a publicly accessible archival repository with a DOI (Zenodo, figshare, Software Heritage, or an institutional/ACM repository). A personal GitHub link alone is not archival; mint a DOI.
- Artifacts Reusable — the artifact significantly exceeds minimal functionality: it is carefully documented and well-structured so a third party can reuse the tool, not merely reproduce your tables. This is the higher bar and where automated-SE tools usually need the most work.
- Whether Functional and Results Reproduced badges are also offered at a given edition is 待核实 — confirm on the current Artifact Evaluation call.
From the submission artifact to the badge artifact
The review-time (anonymized) artifact and the badge artifact are the same package matured. After
acceptance you can de-anonymize it, but the substance should already be there if you followed
ase-reproducibility.
[De-anonymize] restore the real tool name, authors, repository, license.
[Archive] deposit in a DOI-issuing archive; the DOI is what "Available" certifies.
[Document] README with exact run path, expected outputs, and a small worked example.
[Environment] container/lockfile pinning deps + the exact tool commit; note hardware needs.
[Reuse story] show how to run the tool on a NEW input, not just replay your experiments.Show full SKILL.md (148 more words)Show less
Reusable is about strangers, not your tables
Evaluators judge reusability, so write for someone who wants to use your automation on their own code:
- A clear entry point and documented inputs/outputs.
- Instructions to run on a new subject, with a template config.
- Sensible structure (source vs. data vs. scripts), an open license, and dependency pinning.
- Removal of dead scripts, secrets, and machine-specific paths.
Evaluator-proofing checklist
[Runs clean] fresh environment (container) -> documented command -> expected output, no manual patching
[DOI] archival deposit with a DOI + open license (for Available)
[Docs] README covers install, run, expected results, and reuse on a new input (for Reusable)
[Provenance] subject SHAs, dataset version, seeds, model IDs/dates + cached outputs included
[Scope honesty] hardware/time requirements and known limitations stated up front
[No secrets] API keys, tokens, private paths removedTiming and scope
- The Artifact Evaluation deadline follows research-track acceptance; treat it as a real milestone, not an afterthought — a strong tool with a weak package earns no badge.
- Evaluators are often students and junior researchers on a schedule: an artifact that needs a live API key, unpinned dependencies, or your specific cluster will fail on setup regardless of the underlying quality.
- Badges are recognition, not re-review of the science; the paper is already accepted. The goal is durable, reusable automation.
Output format
[Target badges] Available / Reusable (Functional/Reproduced 待核实 for this edition)
[Archive] DOI minted? open license?
[Runs clean] fresh-env command -> expected output, no manual fixes?
[Reusable] docs + run-on-new-input path present?
[Provenance] SHAs / dataset version / seeds / model IDs / cached outputs bundled?
[Blockers] <ordered fixes before the AE deadline>© 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 ASE-Skills/skills/ase-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Ase 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 |
|---|---|---|---|---|---|---|
| Ase Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Autom AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~723 | Automated safety check: Pass | None | |
| Doppler Marketing Automation AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~809 | Automated safety check: Pass | None | |
| LLM Evaluationdavila7/claude-code-templates | 33k | 12 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Suggest Automationsn8n-io/n8n | 207k | — | ~2k | Automated safety check: Pass | Custom licence | |
| Aero Workflow AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~753 | Automated safety check: Pass | None |
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Questions about Ase Artifact Evaluation
What does Ase Artifact Evaluation do?
A skill your agent uses when preparing an accepted ASE (IEEE/ACM Automated Software Engineering) paper's tool and data for the Artifact Evaluation track, targeting the ACM Artifacts Available and…. Ase Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ASE (IEEE/ACM Automated Software Engineering) paper's tool and data for the Artifact Evaluation track, targeting the ACM Artifacts Available and Artifacts Reusable badges on the track's own deadline, with the badge shown on the paper's front page in both IEEE Xplore and the ACM Digital Library.
When should I use Ase Artifact Evaluation?
Ase Artifact Evaluation fits situations like: preparing an accepted ASE (IEEE/ACM Automated Software Engineering) papers tool and data for the Artifact Evaluation track; targeting the ACM Artifacts Available and Artifacts Reusable badges on the tracks own deadline; with the badge shown on the papers front page in both IEEE Xplore and the ACM Digital Library.
How do I install Ase Artifact Evaluation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-artifact-evaluation -a claude-code`. Or copy the skill folder (ASE-Skills/skills/ase-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ase-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Ase Artifact Evaluation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-artifact-evaluation -a codex`. Or copy the skill folder (ASE-Skills/skills/ase-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ase-artifact-evaluation in your project. Codex loads it when a task matches its description.
Can I use Ase 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 ase-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/ase-artifact-evaluation, .gemini/skills/ase-artifact-evaluation, .github/skills/ase-artifact-evaluation and .opencode/skills/ase-artifact-evaluation in your project.
What does Ase Artifact Evaluation need to run?
SKILL.md names no scripts, command-line tools or credentials: Ase Artifact Evaluation is instructions for the agent only.
Does Ase 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 Ase 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 Ase Artifact Evaluation use?
Ase 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 Ase Artifact Evaluation use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Ase Artifact Evaluation?
Skills that share tags, products or a category with Ase Artifact Evaluation: Autom Automation (ComposioHQ/awesome-claude-skills, 77k stars), Doppler Marketing Automation Automation (ComposioHQ/awesome-claude-skills, 77k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars) and Suggest Automations (n8n-io/n8n, 207k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ase 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.