Data Scientist
magnus919/hermes-profiles
PhD-level expertise in data science, statistics, and machine learning.
A skill your agent uses when writing the single ACM/IEEE HRI full-paper rebuttal that responds to three external reviewers and two area chairs — triaging study-design and statistics critiques…
Install Hri Author Response
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-author-response -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-author-response --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-author-response .claude/skills/hri-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-author-response into .claude/skills/hri-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-author-response", 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-author-responseType 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-author-response -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-author-response --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-author-response .agents/skills/hri-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-author-response into .agents/skills/hri-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-author-response", 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-author-response -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-author-response --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-author-response .cursor/skills/hri-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-author-response into .cursor/skills/hri-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-author-response", 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-author-response--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-author-response -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills hri-author-response --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-author-response .gemini/skills/hri-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-author-response into .gemini/skills/hri-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-author-response", 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-author-responseInstalls 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-author-response -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-author-response .github/skills/hri-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-author-response into .github/skills/hri-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-author-response", 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-author-response -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-author-response --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-author-response .opencode/skills/hri-author-response && 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-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/HRI-Skills/skills/hri-author-response into .opencode/skills/hri-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hri-author-response", 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-author-response- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 696 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when writing the single ACM/IEEE HRI full-paper rebuttal that responds to three external reviewers and two area chairs — triaging study-design and statistics critiques…
- Correcting misreadings
- SKILL.md covers Before writing: triage every…, Answer the HRI-typical critiques, Promise only what the… and Structure and constraints, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Promising only what a camera-ready can deliver
What it does
Hri Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing the single ACM/IEEE HRI full-paper rebuttal that responds to three external reviewers and two area chairs — triaging study-design and statistics critiques, correcting misreadings, promising only what a camera-ready can deliver, staying anonymous and within the length limit, and giving the online reviewer discussion reasons to raise scores.
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 Experimental design and Statistics. 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
- Correcting misreadings
- Promising only what a camera-ready can deliver
- Staying anonymous and within the length limit
- Giving the online reviewer discussion reasons to raise scores
Example prompts
- “/hri-author-response”
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 Author Response loads about 1.4k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 696 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). 696 words, ~1,416 tokens.
Download SKILL.mdSave it as
.claude/skills/hri-author-response/SKILL.md (or your agent's skills folder).- name
- hri-author-response
- description
- Use when writing the single ACM/IEEE HRI full-paper rebuttal that responds to three external reviewers and two area chairs — triaging study-design and statistics critiques, correcting misreadings, promising only what a camera-ready can deliver, staying anonymous and within the length limit, and giving the online reviewer discussion reasons to raise scores.
HRI Author Response (Rebuttal)
HRI gives you one rebuttal, and it matters: because reviewers discuss and can revise scores
after it, a focused rebuttal routinely changes decisions. But it is a conference rebuttal, not a
journal revise-and-resubmit — you cannot run a new study before the deadline, and there is no
in-cycle major-revision round. The job is to make the reviewers who read your paper feel their
concerns were heard and, where they are genuinely wrong, corrected. Timing for the HRI 2026 cycle:
rebuttal due ~12 Nov 2025 (see resources/official-source-map.md); confirm the length/format limit
in the current instructions (待核实).
Before writing: triage every point
For each concern across the three externals and two ACs, sort into:
- Misreading — the reviewer misunderstood something already in the paper. Correct it crisply, quoting where it is (section/figure), without blaming the reviewer.
- Fixable in camera-ready — a clarification, an added analysis you already have, a missing citation, a reframed claim. Promise the specific change and, where possible, give the result now.
- Real limitation you cannot fix now — a design choice, a sample bound, a construct-validity concern. Acknowledge it honestly, argue why it does not sink the contribution, and scope the claim accordingly. Do not pretend it away.
Then rank by decisiveness: which concern, if resolved, actually flips a reviewer or wins the discussion. Spend your limited space there, not on the easy points.
Answer the HRI-typical critiques
HRI reviews cluster on study and interaction issues; have crisp answers ready:
- "Underpowered / N too small." Report your power basis, effect sizes with CIs already in the paper, and — if applicable — that the observed effect is large enough to matter. Do not promise "we will collect more data" (you cannot before camera-ready); argue the evidence you have.
- "Confound / demand characteristics." Point to the manipulation check, counterbalancing, or controls already present; if a real confound exists, bound its plausible effect honestly.
- "Wizard-of-Oz not convincing / undisclosed." Clarify what was autonomous vs. wizard-controlled and the wizard constraints/error logging; if you buried it, promise to foreground it.
- "Just a liking score, not behavior." Point to any behavioral/task outcome you measured; if the claim overreached the measure, narrow the claim rather than defend the overreach.
- "Statistics questionable." Address multiple-comparison correction, the confirmatory/exploratory split, and assumption checks; commit to a re-analysis in camera-ready if warranted.
- "Novelty / positioning." State the delta against the specific prior work cited, without breaking anonymity (third person).
- "Ethics unclear." Confirm IRB/consent and (anonymized) deception/debriefing details.
Show full SKILL.md (293 more words)Show less
Promise only what the camera-ready can deliver
The rebuttal's currency is credibility. Every promise should be something you can actually do in the final version within the 8-page budget: rephrase a claim, add an already-computed analysis or effect size, foreground a disclosure, add a citation, clarify a figure. Never promise a new study, new data collection, or a result you have not computed — reviewers discount vague promises and remember broken ones.
Structure and constraints
- Group by concern, not by reviewer, when multiple reviewers raise the same issue — answer it once, well, and note it addresses R1/R3.
- Lead with the most decisive points; a tight limit means the last third may be skimmed.
- Be concrete and quantitative: quote the section, give the number, name the exact change.
- Stay within the length limit and any format rules; over-length rebuttals can be truncated.
- Stay anonymous — no author/institution names, no identifying links, no "as we showed in [our other paper]" in first person.
- Professional tone. Thank reviewers briefly, never argue with their competence or tone; give the sympathetic reviewer material to defend you in the discussion.
What not to do
- Do not concede your central contribution to sound agreeable — if the core claim is sound, defend it.
- Do not sprawl across every minor point and run out of room for the decisive one.
- Do not introduce a brand-new claim or result the reviewers had no chance to vet.
- Do not break anonymity to prove a point.
After the rebuttal
The 1AC opens an online discussion; you will not see it. Your rebuttal is the last input you
control before the PC meeting, so make it self-sufficient. If accepted (possibly with shepherding),
carry every promise into hri-camera-ready; if rejected, mine the reviews and re-route with
hri-topic-selection.
Output format
[Triage] concerns sorted: misreading / camera-ready-fixable / real-limitation
[Decisive points] the 2-3 objections the rebuttal must win, per reviewer
[Responses] each: correction or promised change, concrete + quantitative
[Promises] all deliverable in camera-ready within 8 pages? no new-study promises?
[Anonymity + length] third-person, within limit?
[Draft] <the rebuttal, grouped by concern, decisive-first>© 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-author-response of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Hri Author Response 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 Author Response this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Data Scientistmagnus919/hermes-profiles | 289 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Data Scientistmagnus919/agent-skills | 119 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical PowerK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.4k | Automated safety check: Notes | MIT | |
| Algo Rank Wilsonasgard-ai-platform/skills | 242 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Analyze StatsAperivue/medsci-skills | 333 | — | ~7k | Automated safety check: Pass | MIT |
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Categories
Questions about Hri Author Response
What does Hri Author Response do?
A skill your agent uses when writing the single ACM/IEEE HRI full-paper rebuttal that responds to three external reviewers and two area chairs — triaging study-design and statistics critiques…. Hri Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when writing the single ACM/IEEE HRI full-paper rebuttal that responds to three external reviewers and two area chairs — triaging study-design and statistics critiques, correcting misreadings, promising only what a camera-ready can deliver, staying anonymous and within the length limit, and giving the online reviewer discussion reasons to raise scores.
When should I use Hri Author Response?
Hri Author Response fits situations like: correcting misreadings; promising only what a camera-ready can deliver; staying anonymous and within the length limit; giving the online reviewer discussion reasons to raise scores.
How do I install Hri Author Response in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-author-response -a claude-code`. Or copy the skill folder (HRI-Skills/skills/hri-author-response in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/hri-author-response in your project. Claude Code loads it when a task matches its description.
How do I install Hri Author Response in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill hri-author-response -a codex`. Or copy the skill folder (HRI-Skills/skills/hri-author-response in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/hri-author-response in your project. Codex loads it when a task matches its description.
Can I use Hri Author Response 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-author-response -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-author-response, .gemini/skills/hri-author-response, .github/skills/hri-author-response and .opencode/skills/hri-author-response in your project.
What does Hri Author Response need to run?
SKILL.md names no scripts, command-line tools or credentials: Hri Author Response is instructions for the agent only.
Does Hri Author Response 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 Author Response 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 Author Response use?
Hri Author Response 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 Author Response use?
About 1.4k tokens (SKILL.md is roughly 5.7k 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 Author Response?
Skills that share tags, products or a category with Hri Author Response: Data Scientist (magnus919/hermes-profiles, 289 stars), Data Scientist (magnus919/agent-skills, 119 stars), Statistical Power (K-Dense-AI/scientific-agent-skills, 48k stars) and Algo Rank Wilson (asgard-ai-platform/skills, 242 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Hri Author Response?
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.