Agent skill

Hri Artifact Evaluation

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

MITAuto-check passed

Install Hri Artifact Evaluation

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-artifact-evaluation -a claude-code

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-artifact-evaluation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/HRI-Skills/skills/hri-artifact-evaluation .claude/skills/hri-artifact-evaluation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "hri-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-artifact-evaluation into .claude/skills/hri-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-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

$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-artifact-evaluation

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

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-artifact-evaluation -a codex

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-artifact-evaluation --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/HRI-Skills/skills/hri-artifact-evaluation .agents/skills/hri-artifact-evaluation && rm -rf skills-src

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

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

Paste into Codex

Install the "hri-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-artifact-evaluation into .agents/skills/hri-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-artifact-evaluation -a cursor

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-artifact-evaluation --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/HRI-Skills/skills/hri-artifact-evaluation .cursor/skills/hri-artifact-evaluation && rm -rf skills-src

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

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

Paste into Cursor

Install the "hri-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-artifact-evaluation into .cursor/skills/hri-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-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

$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path HRI-Skills/skills/hri-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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-artifact-evaluation -a gemini-cli

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-artifact-evaluation --agent gemini-cli

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

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/HRI-Skills/skills/hri-artifact-evaluation .gemini/skills/hri-artifact-evaluation && rm -rf skills-src

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

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

Paste into Gemini CLI

Install the "hri-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-artifact-evaluation into .gemini/skills/hri-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-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.

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-artifact-evaluation

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

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-artifact-evaluation -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/HRI-Skills/skills/hri-artifact-evaluation .github/skills/hri-artifact-evaluation && rm -rf skills-src

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

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

Paste into GitHub Copilot

Install the "hri-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-artifact-evaluation into .github/skills/hri-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-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.

skills CLI

$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-artifact-evaluation -a opencode

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

GitHub CLI

$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-artifact-evaluation --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/HRI-Skills/skills/hri-artifact-evaluation .opencode/skills/hri-artifact-evaluation && rm -rf skills-src

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

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

Paste into OpenCode

Install the "hri-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-artifact-evaluation into .opencode/skills/hri-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-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: hri-artifact-evaluation
GitHub stars: 1.2k
Token cost: ~1.3k tokens
SKILL.md length: 589 words
Files: 1
Skills in repo: 2,387
Repo updated: Sep 27, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Packaging the artifacts of an accepted ACM/IEEE HRI paper — code
SKILL.md covers First: does this edition run a…, What an HRI artifact actually…, Make it reusable, within… and Human-subjects constraints on…, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Robot behaviors

What it does

Hri Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging the artifacts of an accepted ACM/IEEE HRI paper — code, robot behaviors, de-identified data, and study materials — for openness and any ACM badges the edition offers, while being honest about the limits of reproducing an embodied human-subjects study.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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 the artifacts of an accepted ACM/IEEE HRI paper — code
Robot behaviors
De-identified data
Study materials — for openness and any ACM badges the edition offers

Example prompts

“/hri-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

Hri Artifact Evaluation loads about 1.3k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 589 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~74
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 589 words, ~1,312 tokens.

Download SKILL.mdSave it as .claude/skills/hri-artifact-evaluation/SKILL.md (or your agent's skills folder).

name: hri-artifact-evaluation
description: Use when packaging the artifacts of an accepted ACM/IEEE HRI paper — code, robot behaviors, de-identified data, and study materials — for openness and any ACM badges the edition offers, while being honest about the limits of reproducing an embodied human-subjects study.

HRI Artifact Evaluation

HRI's artifact and reproducibility culture is less formalized than software-engineering venues': there is not a long-standing, uniformly enforced ACM artifact-badge track at every HRI edition, and whether a given year runs a formal reproducibility/artifact evaluation is 待核实 per cycle. So treat artifact work at HRI as a credibility and openness move first, and follow a formal badge process only if this edition offers one. Either way, the artifact of an HRI paper is unusual: it is the study, not a runnable system that reproduces a number. This skill packages it honestly. It builds on hri-reproducibility and the shared kit in ../../resources/code/README.md.

First: does this edition run a formal evaluation?

Check the current call for a reproducibility/artifact track, its badges, and its own deadline (待核实). If it exists, follow its instructions exactly.
If ACM badges are offered, they follow the ACM scheme (Artifacts Available / Evaluated - Functional / Reusable / Results Reproduced). Map your package to whichever the edition supports.
If no formal track runs, still release an open, well-documented artifact — reviewers and readers reward it, and it is the community norm even without a badge.

What an HRI artifact actually contains

Because the core evidence is a human study of an embodied robot, the artifact is rarely a one-command reproduction. Assemble:

Study materials — questionnaires (items + scoring), interview guides, task scripts, consent-form summary, and coding schemes.
Robot-behavior specification — the conditions/behaviors the robot exhibited: for autonomous behavior, the software version and parameters; for Wizard-of-Oz, the wizard's action space, protocol, and error rates (see hri-experiments).
De-identified data — participant-level data with identifiers removed, plus a codebook.
Analysis code — scripts that regenerate every reported statistic, figure, and table from the shared data, with pinned dependencies and fixed seeds.
Pre-registration pointer and any deviation notes.

Make it reusable, within honest limits

Reproducible = re-analyzable + re-runnable-as-a-method. An evaluator should be able to regenerate your results from the shared data and to understand the procedure well enough to run the study again — not to recreate your exact human responses. State this scope plainly.
Document the environment. For analysis code, a README with dependency versions and a single entry point; a container helps if the toolchain is heavy.
License it (an OSI-approved code license; a documented data-use/consent basis for the data).
Archive with a DOI (OSF, Zenodo, figshare, or Software Heritage) rather than a personal homepage, so the link is permanent and citable.

Show full SKILL.md (196 more words)Show less

Human-subjects constraints on the artifact

An HRI artifact contains people, which limits what can be shared:

Share only data/media the participants consented to share for that use; if consent for public data or video was not obtained, share what you can and explain the gap honestly.
De-identify thoroughly — free-text responses and video are the usual re-identification risks.
Vulnerable-population studies (children, older adults, clinical) may permit little sharing; say so rather than force an unethical release.
A partial, honest artifact with a clear rationale beats an over-shared one that breaches consent.

Camera-ready badge mechanics (if applicable)

Badges, when a paper earns them, are displayed on the published version — coordinate with hri-camera-ready so any badge and the archive DOI appear correctly.
Keep the anonymized review-time archive and the de-anonymized public archive separate; the public one carries author names, the review one must not.

Anti-patterns

Overclaiming a "reproducible" human study as if it re-runs like a benchmark.
"Data available on request" — treated as unavailable.
Unlogged Wizard-of-Oz — the stimulus cannot be reproduced.
Identifiable data or video released without consent for that use.
Chasing a badge that does not exist this cycle instead of simply releasing a good artifact.

Output format

text

[Formal track?] does this edition run artifact/reproducibility evaluation + badges? (verify)
[Artifact contents] materials · robot-behavior spec (incl. WoZ) · de-identified data + codebook · analysis code
[Reproducibility scope] re-analysis + method replication; human responses framed as not re-runnable
[Openness] DOI archive · license · honest statement of consent-limited gaps
[Human-subjects] de-identified · shared only what consent allows
[Badge readiness] (if offered) which ACM badge(s) targeted · public vs review archive separated
[Fix queue] <ordered>

Files

Just SKILL.md in HRI-Skills/skills/hri-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Hri 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.

Hri Artifact Evaluation compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Hri Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~1.3k	Automated safety check: Pass	MIT	14 days ago
Ccs Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~969	Automated safety check: Pass	MIT	14 days ago
Ase Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~1.1k	Automated safety check: Pass	MIT	14 days ago
Sigcomm Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~1.1k	Automated safety check: Pass	MIT	14 days ago
Sigmetrics Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~1.4k	Automated safety check: Pass	MIT	14 days ago
Socc Artifact Evaluationbrycewang-stanford/Awesome-Journal-Skills	1.2k	—	~1.5k	Automated safety check: Pass	MIT	14 days ago

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Questions about Hri Artifact Evaluation

What does Hri Artifact Evaluation do?

A skill your agent uses when packaging the artifacts of an accepted ACM/IEEE HRI paper — code, robot behaviors, de-identified data, and study materials — for openness and any ACM badges the edition…. Hri Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging the artifacts of an accepted ACM/IEEE HRI paper — code, robot behaviors, de-identified data, and study materials — for openness and any ACM badges the edition offers, while being honest about the limits of reproducing an embodied human-subjects study.

When should I use Hri Artifact Evaluation?

Hri Artifact Evaluation fits situations like: packaging the artifacts of an accepted ACM/IEEE HRI paper — code; robot behaviors; de-identified data; study materials — for openness and any ACM badges the edition offers.

How do I install Hri Artifact Evaluation in Claude Code?

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

How do I install Hri Artifact Evaluation in Codex?

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

Can I use Hri 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 hri-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/hri-artifact-evaluation, .gemini/skills/hri-artifact-evaluation, .github/skills/hri-artifact-evaluation and .opencode/skills/hri-artifact-evaluation in your project.

What does Hri Artifact Evaluation need to run?

SKILL.md names no scripts, command-line tools or credentials: Hri Artifact Evaluation is instructions for the agent only.

Does Hri 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 Hri 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 Hri Artifact Evaluation use?

Hri 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 Hri Artifact Evaluation use?

About 1.3k tokens (SKILL.md is roughly 5.2k 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 Hri Artifact Evaluation?

Skills that share tags, products or a category with Hri Artifact Evaluation: Ccs Artifact Evaluation (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Ase 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 Hri 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.

Install Hri Artifact Evaluation

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

HRI Artifact Evaluation

First: does this edition run a formal evaluation?

What an HRI artifact actually contains

Make it reusable, within honest limits

Human-subjects constraints on the artifact

Camera-ready badge mechanics (if applicable)

Anti-patterns

Output format

Files

Compare with similar skills

Similar skills

More from brycewang-stanford/Awesome-Journal-Skills

Questions about Hri Artifact Evaluation