A skill your agent uses when drafting the CoRL rebuttal — a single-page PDF due days after reviews are released, aimed at reviewers, the Area Chair, and the discussion window that follows.

MITAuto-check passedDocuments & Office

Install Corl Author Response

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-author-response -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-author-response --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/CoRL-Skills/skills/corl-author-response .claude/skills/corl-author-response && 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/

Facts

Skill name
corl-author-response
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
643 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when drafting the CoRL rebuttal — a single-page PDF due days after reviews are released, aimed at reviewers, the Area Chair, and the discussion window that follows.

  • Drafting the CoRL rebuttal — a single-page PDF due days after reviews are released
  • SKILL.md covers First: confirm the rebuttal is…, The one-page economy, Compact evidence patterns and Answer patterns by objection…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Aimed at reviewers

What it does

Corl Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting the CoRL rebuttal — a single-page PDF due days after reviews are released, aimed at reviewers, the Area Chair, and the discussion window that follows. Covers triage against the first-round gate, one-page layout economy, presenting new numbers compactly, and tone for an exchange that becomes public on acceptance.

Its SKILL.md is about 1.5k 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 Documents & Office. 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

  • Drafting the CoRL rebuttal — a single-page PDF due days after reviews are released
  • Aimed at reviewers
  • The discussion window that follows

Example prompts

  • “/corl-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 (its code samples are latex).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • corl.org

    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

Corl Author Response loads about 1.5k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 643 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 643 words, ~1,488 tokens.

Download SKILL.mdSave it as .claude/skills/corl-author-response/SKILL.md (or your agent's skills folder).
name
corl-author-response
description
Use when drafting the CoRL rebuttal — a single-page PDF due days after reviews are released, aimed at reviewers, the Area Chair, and the discussion window that follows. Covers triage against the first-round gate, one-page layout economy, presenting new numbers compactly, and tone for an exchange that becomes public on acceptance.

CoRL Author Response

CoRL's rebuttal is a one-page PDF, not a text box — a format that rewards preparation and layout discipline over volume. In the 2026 cycle it was due August 11, 11:59 PM AoE, with reviewer–AC discussion following August 12–19 (corl.org rebuttal instructions, read 2026-07-08). The window between reviews arriving and the deadline is measured in days; the winning move is to have experiments and a compiled skeleton ready before reviews exist (see corl-workflow).

First: confirm the rebuttal is live

CoRL 2026 applied a first-round rejection rule — no weak-accept-or-above score from any reviewer or the AC makes the paper a candidate for rejection without rebuttal. So the opening triage is not "what do I answer?" but "who is my advocate?": identify the most positive scorer, protect their reasons for optimism, and target the specific objections that keep others below threshold.

The one-page economy

A page holds roughly 700–900 words in the template's footprint, less once you add a results table. Spend it by expected score movement:

Budget sliceContentWhy it earns its space
~15%Header: thanks (one line) + a 2–3 line summary of what the rebuttal addsACs skim this first; make the additions enumerable
~50%The 2–3 concerns the AC flagged or multiple reviewers shareCore-concern focus is what the official instructions ask for
~25%One compact table/figure of new numbers (seeds, episodes, baseline)Evidence moves scores; prose reassurance does not
~10%Per-reviewer one-liners for smaller points, keyed as R1/R2/R3Shows nothing was ducked

What does not fit on the page: re-explaining the paper, quoting long review passages back, answering every minor point at equal depth, or promising future work as a substitute for a number you could have produced.

Compact evidence patterns

New robot-learning evidence compresses well if you design for it:

latex
% One-page rebuttal skeleton (compile with the venue-permitted format)
\section*{Response to Reviews — Paper \#XXXX}
We thank the reviewers. This response adds: (i) 5-seed results on all
tasks (R1, R3), (ii) a real-robot spot-check of the sim claim (R2),
(iii) the missing diffusion-policy baseline (R1).

\paragraph{Seeds and episodes (R1.W1, R3.W2).}
\begin{tabular}{lccc}
Task suite & Ours & Ours (5 seeds) & DP baseline \\
Kitchen-6  & 78\% & 76.4 $\pm$ 2.1\% & 61.2 $\pm$ 3.0\% \\
...
\end{tabular}
% cite episode counts inline: "each cell = 5 seeds x 50 eval episodes"

\paragraph{Sim-to-real scope (R2.W1).} We ran task A on hardware:
64\% over 25 trials (video frames in Fig.~1); we will scope the claim
to tasks A--B in revision and state the transfer gap explicitly.

Rules of thumb: every number states its seeds × episodes provenance inline; every promised revision names the section it will change; anything that cannot be shown in one table is summarized with its single headline number.

Show full SKILL.md (312 more words)Show less

Answer patterns by objection type

  • "Only N seeds / episodes" — run more before reviews arrive; report mean ± dispersion and whether conclusions changed. This is the cheapest score-mover at this venue.
  • "Missing baseline X" — run X under the same evaluation protocol if at all feasible; if genuinely infeasible in the window, explain the concrete blocker (hardware access, closed weights) and give the nearest fair proxy.
  • "Claim exceeds evidence (sim vs real)" — concede scope precisely and show the smallest real-robot result that preserves the paper's core; a scoped-down true claim beats a defended overclaim in the discussion window.
  • "Limitations section too thin" — treat as a gift: list the 2–3 items you will add; this section is mandatory at CoRL and reviewers audit it.
  • Factual misreading — quote the paper's line number, correct once, stay flat in tone; flag persistently wrong low-confidence reviews to the AC via a confidential comment, not in the shared page.

During the discussion window (Aug 12–19 pattern)

  • Reviewers are asked to remain responsive and to update scores when the rebuttal warrants it — so check OpenReview daily; a reviewer follow-up unanswered for three days reads as concession.
  • Keep any follow-up replies to a few sentences anchored to the rebuttal PDF ("see Table 1 of our response, row 2").
  • The AC and SAC will carry your case into decision meetings you cannot attend; a final short summary comment ("changes we commit to in revision: …") gives them a clean artifact to quote.

Tone: you are writing for the public record

Reviews and rebuttals of accepted CoRL papers are made publicly available. Write the page so you would be comfortable with it linked from the paper forever: no sarcasm, no reviewer-blaming, no overpromising. Concessions phrased as improvements ("we agree, and the revision will…") age well in public.

Final checklist

text
[ ] At least one gate-passing score exists (else: resubmission branch)
[ ] Page compiles to exactly 1 page, venue-permitted format
[ ] AC-flagged / shared concerns get the majority of the space
[ ] Every new number carries seeds x episodes provenance
[ ] Every commitment names its revision location
[ ] Anonymity preserved (no identity, no identifying links)
[ ] Submitted well before Aug 11 23:59 AoE; calendar alert for the
    Aug 12-19 discussion window

Rebuttal format, deadlines, and the gate rule are re-set annually — reconfirm at https://www.corl.org/contributions/instruction-for-rebuttal for the live cycle.

© 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 CoRL-Skills/skills/corl-author-response of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Corl Author Response

What does Corl Author Response do?

A skill your agent uses when drafting the CoRL rebuttal — a single-page PDF due days after reviews are released, aimed at reviewers, the Area Chair, and the discussion window that follows. Corl Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting the CoRL rebuttal — a single-page PDF due days after reviews are released, aimed at reviewers, the Area Chair, and the discussion window that follows.

When should I use Corl Author Response?

Corl Author Response fits situations like: drafting the CoRL rebuttal — a single-page PDF due days after reviews are released; aimed at reviewers; the discussion window that follows.

How do I install Corl Author Response in Claude Code?

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

How do I install Corl Author Response in Codex?

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

Can I use Corl 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 corl-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/corl-author-response, .gemini/skills/corl-author-response, .github/skills/corl-author-response and .opencode/skills/corl-author-response in your project.

What does Corl Author Response need to run?

SKILL.md names no scripts, command-line tools or credentials: Corl Author Response is instructions for the agent only.

Does Corl Author Response access the network?

SKILL.md names 1 domain. As links in the text: corl.org. This is read from the text; nothing was executed.

Is Corl 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 Corl Author Response use?

Corl 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 Corl Author Response use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

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Who maintains Corl 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.