Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
A skill your agent uses when building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials, robot-behavior specifications, de-identified data, and analysis…
Install Hri Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-reproducibility --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/HRI-Skills/skills/hri-reproducibility .claude/skills/hri-reproducibility && 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 "hri-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-reproducibility into .claude/skills/hri-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-reproducibility", 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/HRI-Skills/skills/hri-reproducibilityType 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 hri-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-reproducibility --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/HRI-Skills/skills/hri-reproducibility .agents/skills/hri-reproducibility && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hri-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-reproducibility into .agents/skills/hri-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-reproducibility", 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 hri-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-reproducibility --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/HRI-Skills/skills/hri-reproducibility .cursor/skills/hri-reproducibility && 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 "hri-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-reproducibility into .cursor/skills/hri-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-reproducibility", 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 HRI-Skills/skills/hri-reproducibility--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 hri-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-reproducibility --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/HRI-Skills/skills/hri-reproducibility .gemini/skills/hri-reproducibility && 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 "hri-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-reproducibility into .gemini/skills/hri-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-reproducibility", 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 hri-reproducibilityInstalls 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 hri-reproducibility -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/HRI-Skills/skills/hri-reproducibility .github/skills/hri-reproducibility && 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 "hri-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-reproducibility into .github/skills/hri-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-reproducibility", 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 hri-reproducibility -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 hri-reproducibility --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/HRI-Skills/skills/hri-reproducibility .opencode/skills/hri-reproducibility && 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 "hri-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-reproducibility into .opencode/skills/hri-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-reproducibility", 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-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 645 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials, robot-behavior specifications, de-identified data, and analysis…
- Building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials
- SKILL.md covers What "reproducible" can and…, The replication package for an…, Report the things that make a… and De-identification and the video, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Robot-behavior specifications
What it does
Hri Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials, robot-behavior specifications, de-identified data, and analysis code; reporting Wizard-of-Oz and pre-registration; and stating honestly what can and cannot be reproduced in an embodied human-subjects study.
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.
It sits in Research & Science, covering Reproducible research. 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
- Building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials
- Robot-behavior specifications
- De-identified data
- Reporting Wizard-of-Oz and pre-registration
Example prompts
- “/hri-reproducibility”
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 Reproducibility loads about 1.4k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 645 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). 645 words, ~1,441 tokens.
Download SKILL.mdSave it as
.claude/skills/hri-reproducibility/SKILL.md (or your agent's skills folder).- name
- hri-reproducibility
- description
- Use when building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials, robot-behavior specifications, de-identified data, and analysis code; reporting Wizard-of-Oz and pre-registration; and stating honestly what can and cannot be reproduced in an embodied human-subjects study.
HRI Reproducibility
Reproducibility means something specific — and harder — at HRI than at a benchmark-driven venue. You
cannot "re-run" a study of an embodied robot and real people the way you re-run a model on a test
set: the participants, the room, the exact robot, and the moment are gone. So HRI reproducibility is
about making the procedure, stimulus, and analysis transparent enough that another team could
replicate the method and readers can audit your inferences. This skill builds that story; it
pairs with the shared kit in ../../resources/code/README.md.
What "reproducible" can and cannot mean here
Be honest about the limits, and design the artifact around what is reproducible:
- Reproducible (aim for this): the study protocol, the robot behavior/stimulus, the measures, the analysis code, and the de-identified data — enough to re-analyze your results and to run the same study elsewhere.
- Not reproducible (say so): the exact human responses. A replication is a new sample; framing it otherwise overclaims. State this plainly rather than let a reviewer catch the overclaim.
The replication package for an HRI study
Assemble, and reference from the paper:
- Study materials — consent-form summary, instructions/scripts, questionnaires with exact items and scoring, interview guides, and coding schemes for qualitative work.
- Robot-behavior specification — the behaviors/conditions the robot exhibited, at enough
granularity to reproduce the stimulus: for autonomous behavior, the software version and
parameters; for Wizard-of-Oz, the wizard's action space, protocol/script, and error rates
(see
hri-experiments). - De-identified data — participant-level data with identifiers removed, plus a codebook. Scrub free-text and metadata that could re-identify participants.
- Analysis code — scripts that reproduce every reported statistic, figure, and table from the shared data, with fixed seeds and pinned dependencies.
- Pre-registration — a link/ID if you pre-registered the hypotheses and analysis, with any deviations documented.
Report the things that make a study re-runnable
- Sample and procedure in reproducible detail: recruitment, inclusion criteria, N and how it was determined, session flow, timing, compensation.
- Apparatus: the robot platform and version, sensors, environment, and anything that would change the interaction if swapped.
- Wizard-of-Oz disclosure and constraints, so the stimulus is not an unlogged human performance.
- Analysis decisions: exclusions and why, transformations, the exact tests, and the confirmatory/exploratory split.
Show full SKILL.md (288 more words)Show less
De-identification and the video
HRI artifacts contain people, which raises obligations a code-only artifact does not:
- De-identify data before sharing; get consent for data sharing at study time — retrofitting it is usually impossible.
- The video figure and any recordings need consent for the use you are making (review-time
sharing, public archival, or conference presentation are different permissions). For review, blur
faces and mute identifying audio if consent for public use was not obtained (see
hri-supplementary). - Vulnerable populations (children, older adults, clinical) demand extra care in what is shared at all.
Openness at HRI (calibrated to the venue)
HRI's open-science and artifact-badge culture is less formalized than SIGSOFT's — there is not a long-standing, uniformly enforced ACM badge track for every edition (待核实 per cycle). So treat openness as a credibility and community-norm move, not a checkbox:
- Share what ethics allows via a DOI-issuing archive (e.g., OSF, Zenodo, figshare); avoid a personal homepage link that both rots and de-anonymizes.
- Where confidentiality or human-subjects constraints prevent full sharing, say what and why — an honest limitation reads far better than silence or "available on request."
- If the edition does run an artifact/reproducibility evaluation, follow it and see
hri-artifact-evaluation.
Anonymization for double-blind
Everything above must be anonymized at review time: strip author/institution names from
materials and code, host the archive behind an anonymizing view, and scrub the video and data of
identity leaks. See hri-submission for the mechanical sweep.
Anti-patterns HRI reviewers flag
- Overclaiming reproducibility — implying a human study can be exactly re-run.
- Unlogged Wizard-of-Oz — no way to reproduce the stimulus.
- "Data available on request" — treated as not available.
- Identifiable data or video shared without consent for that use.
- Analysis not reproducible from the shared data — figures that no script regenerates.
Output format
[Repro scope] procedure/stimulus/analysis reproducible? human responses correctly framed as not?
[Package] materials · robot-behavior spec (incl. WoZ) · de-identified data + codebook · analysis code
[Pre-registration] link/ID · deviations documented?
[De-identification] data scrubbed · video/audio consent for the use made?
[Openness] DOI archive · honest statement of what cannot be shared and why
[Anonymization] materials/code/archive/video anonymized for review?
[Fix queue] <ordered>© 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 HRI-Skills/skills/hri-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Hri Reproducibility 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 |
|---|---|---|---|---|---|---|
| Hri Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
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Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
bactopia/bactopia
Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
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Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.
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Categories
Questions about Hri Reproducibility
What does Hri Reproducibility do?
A skill your agent uses when building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials, robot-behavior specifications, de-identified data, and analysis…. Hri Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials, robot-behavior specifications, de-identified data, and analysis code; reporting Wizard-of-Oz and pre-registration; and stating honestly what can and cannot be reproduced in an embodied human-subjects study.
When should I use Hri Reproducibility?
Hri Reproducibility fits situations like: building the openness and replicability story for an ACM/IEEE HRI full paper — sharing study materials; robot-behavior specifications; de-identified data; reporting Wizard-of-Oz and pre-registration.
How do I install Hri Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-reproducibility -a claude-code`. Or copy the skill folder (HRI-Skills/skills/hri-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/hri-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Hri Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-reproducibility -a codex`. Or copy the skill folder (HRI-Skills/skills/hri-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/hri-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Hri Reproducibility 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-reproducibility -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-reproducibility, .gemini/skills/hri-reproducibility, .github/skills/hri-reproducibility and .opencode/skills/hri-reproducibility in your project.
What does Hri Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Hri Reproducibility is instructions for the agent only.
Does Hri Reproducibility 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 Reproducibility 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 Reproducibility use?
Hri Reproducibility 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 Reproducibility use?
About 1.4k tokens (SKILL.md is roughly 5.8k 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 Reproducibility?
Skills that share tags, products or a category with Hri Reproducibility: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hri Reproducibility?
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.