Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when drafting a COLT (Conference on Learning Theory) rebuttal after initial reviews, handling proof-correctness objections, tightness and novelty-of-technique challenges, the…
Install Colt Author Response
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-author-response -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-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/COLT-Skills/skills/colt-author-response .claude/skills/colt-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 "colt-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-author-response into .claude/skills/colt-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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/COLT-Skills/skills/colt-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 colt-author-response -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-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/COLT-Skills/skills/colt-author-response .agents/skills/colt-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 "colt-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-author-response into .agents/skills/colt-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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 colt-author-response -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-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/COLT-Skills/skills/colt-author-response .cursor/skills/colt-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 "colt-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-author-response into .cursor/skills/colt-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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 COLT-Skills/skills/colt-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 colt-author-response -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills colt-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/COLT-Skills/skills/colt-author-response .gemini/skills/colt-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 "colt-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-author-response into .gemini/skills/colt-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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 colt-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 colt-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/COLT-Skills/skills/colt-author-response .github/skills/colt-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 "colt-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-author-response into .github/skills/colt-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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 colt-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 colt-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/COLT-Skills/skills/colt-author-response .opencode/skills/colt-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 "colt-author-response" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/COLT-Skills/skills/colt-author-response into .opencode/skills/colt-author-response/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "colt-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
colt-author-response- GitHub stars
- 1.2k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 893 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when drafting a COLT (Conference on Learning Theory) rebuttal after initial reviews, handling proof-correctness objections, tightness and novelty-of-technique challenges, the…
- Works in 4 steps: One-line verdict per major objection:… → Quote the exact display or lemma number;… → Keep arithmetic in the rebuttal… → …
- Drafting a COLT (Conference on Learning Theory) rebuttal after initial reviews
- SKILL.md covers What a COLT rebuttal is for, The identity-reveal rule…, Objection playbook for… and Drafting pattern, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Colt Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting a COLT (Conference on Learning Theory) rebuttal after initial reviews, handling proof-correctness objections, tightness and novelty-of-technique challenges, the area-chair identity-reveal rule, and concession strategy for theorem-first papers where one unrepaired gap outweighs every polished answer.
Its SKILL.md is about 1.8k 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. 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 a COLT (Conference on Learning Theory) rebuttal after initial reviews
- Handling proof-correctness objections
- Tightness and novelty-of-technique challenges
- The area-chair identity-reveal rule
Example prompts
- “/colt-author-response”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- One-line verdict per major objection: correct as stated, misreading, or
- Quote the exact display or lemma number; theory reviewers verify pointers, and a
- Keep arithmetic in the rebuttal self-contained: if the fix is three inequalities,
- End each thread with what the final version will say, phrased as revision of
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
Colt Author Response loads about 1.8k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 893 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). 893 words, ~1,756 tokens.
Download SKILL.mdSave it as
.claude/skills/colt-author-response/SKILL.md (or your agent's skills folder).- name
- colt-author-response
- description
- Use when drafting a COLT (Conference on Learning Theory) rebuttal after initial reviews, handling proof-correctness objections, tightness and novelty-of-technique challenges, the area-chair identity-reveal rule, and concession strategy for theorem-first papers where one unrepaired gap outweighs every polished answer.
COLT Author Response
Use this after COLT reviews arrive. The COLT 2026 CFP (checked 2026-07-08) stated that initial reviews are sent to authors before final decisions and that authors get an opportunity to address issues raised — a rebuttal phase, run through CMT in that cycle. Exact window length, character limits, and attachment rules are announced with the reviews; read that announcement before writing a word.
What a COLT rebuttal is for
A COLT review stands or falls on correctness first, then on the significance of the result and the novelty of the technique. The rebuttal is your one chance to:
- repair a perceived gap by pointing at the exact appendix line that closes it;
- concede a real gap and show the damage is contained (a weaker constant, an extra log factor, a mildly stronger assumption) with a sketch of the fix;
- correct a factual misreading of the model, the adversary, or the oracle access;
- defuse "this follows easily from known results" by naming precisely which step known techniques cannot deliver.
It is not a place to announce new theorems. A brand-new result in a rebuttal box is unverifiable in the time reviewers have, and theory reviewers discount it accordingly; promise it for the final version only when the argument is a routine extension.
The identity-reveal rule (distinctively COLT)
Under the 2026 policy, submissions are anonymized and names are withheld from reviewers, but the area chair knows author identities and may reveal them to a reviewer during the rebuttal period upon the reviewer's request, when the AC judges it necessary for a proper review — typically to check adjacency to the authors' own prior work. Consequences for drafting:
- Never write anything inconsistent with your identity becoming known mid-discussion.
- Do not play games with "the authors of [7]" phrasing that collapses if unmasked.
- You still must not de-anonymize yourself proactively; the reveal is the AC's call.
Objection playbook for theorist reviewers
| Objection | What it usually means | COLT-ready move |
|---|---|---|
| "The proof of Lemma 3 has a gap at (12)" | The reviewer traced the chain and stopped | Give the missing two-line argument verbatim, or concede and show the repaired constant |
| "The bound is not tight; the lower bound is missing" | Result may be a partial story | Point to the matching lower bound if it exists; otherwise scope the claim and cite the open gap honestly |
| "This follows from [X] by a standard reduction" | Novelty-of-technique attack | Exhibit the concrete step where the reduction fails — the exact quantity [X] cannot control |
| "The assumption of bounded losses is restrictive" | Generality probe | Say whether the proof survives sub-Gaussian relaxation, and where it breaks if not |
| "The model is non-standard" | Fit and significance doubt | Anchor the model to a named line of prior COLT/ALT work and state what changes and why |
Drafting pattern
- One-line verdict per major objection: correct as stated, misreading, or conceded with contained damage — reviewers scan for whether you dodged.
- Quote the exact display or lemma number; theory reviewers verify pointers, and a wrong pointer costs more credibility than a concession.
- Keep arithmetic in the rebuttal self-contained: if the fix is three inequalities, write the three inequalities rather than "this is easy to fix."
- End each thread with what the final version will say, phrased as revision of existing material, not as new claims.
Show full SKILL.md (342 more words)Show less
Worked micro-example
Reviewer: "Theorem 2's regret bound hides the dependence on the action-set diameter D; for unbounded D the claim is vacuous."
Verdict: misreading, with a wording fix we will make.
The D-dependence is present but implicit: the radius enters through the
self-bounding term in Eq. (9), and Lemma 5 (App. B.2) gives
R_T <= 4 D sqrt(T log K) + D log T.
D is assumed finite in Section 2 (line 3 of the setup). We agree the theorem
statement should carry D explicitly; the final version will state
R_T = O(D sqrt(T log K)) in Theorem 2 itself rather than in the proof.Four sentences, one display, an exact pointer, one concrete promised edit — the whole anatomy of a COLT rebuttal thread.
Rebuttal anti-patterns theorists punish
- The pointer dodge: "see Appendix C" with no line number and no restatement of the resolving argument. If the referee misread C once, a bare pointer re-serves the same meal.
- The generality retreat: answering a tightness question by claiming the result "still holds in more general settings" — orthogonal to the objection and visibly so.
- The authority appeal: "this technique is standard in the literature" without a citation containing the actual step; worse if the identity-reveal rule later shows you were citing yourself.
- The scope creep: using the rebuttal to advertise results proved after submission; at best ignored, at worst it signals the submitted version was premature.
- The wounded tone: any sentence about the review's fairness rather than its mathematics. The AC reads tone as information about how camera-ready fixes would go.
- The uniform-length trap: giving every objection equal space, which tells the AC you could not identify the decision-critical one.
Prioritization under a short window
- Rank objections by decision weight: correctness gap > tightness/lower-bound gap > novelty-of-technique > model fit > exposition. Answer in that order and cut from the bottom when space runs out.
- If two reviewers disagree (one says the technique is standard, the other says the model is exotic), answer both in one paragraph that names the technique's new step — the AC reads the rebuttal for exactly this synthesis.
- A calm, complete concession of a minor error buys credibility for your defense of the main theorem; theorists reward authors who behave like referees of their own work.
Cycle-volatility warnings
- Rebuttal length limits, whether PDF responses are allowed, and per-reviewer versus global response structure change by cycle — read the current instructions (待核实 each year).
- The identity-reveal mechanism described above is the 2026 wording; verify it in the cycle you are in before relying on its exact scope.
Output format
[Priority objection] <the one that decides the paper>
[Verdict] correct as stated / misreading / conceded, damage contained
[Pointer] <lemma, display, or appendix line>
[Self-contained fix] <inequalities or sketch given in-box>
[Promised final-version edit] <existing-material revision only>© 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 COLT-Skills/skills/colt-author-response of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Colt 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 |
|---|---|---|---|---|---|---|
| Colt Author Response this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
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Nature Paper Card
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Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Last30days
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Research what people actually say about any topic in the last 30 days.
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Structured manuscript/grant review with checklist-based evaluation.
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Categories
Questions about Colt Author Response
What does Colt Author Response do?
A skill your agent uses when drafting a COLT (Conference on Learning Theory) rebuttal after initial reviews, handling proof-correctness objections, tightness and novelty-of-technique challenges, the…. Colt Author Response is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when drafting a COLT (Conference on Learning Theory) rebuttal after initial reviews, handling proof-correctness objections, tightness and novelty-of-technique challenges, the area-chair identity-reveal rule, and concession strategy for theorem-first papers where one unrepaired gap outweighs every polished answer.
When should I use Colt Author Response?
Colt Author Response fits situations like: drafting a COLT (Conference on Learning Theory) rebuttal after initial reviews; handling proof-correctness objections; tightness and novelty-of-technique challenges; the area-chair identity-reveal rule.
How do I install Colt Author Response in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-author-response -a claude-code`. Or copy the skill folder (COLT-Skills/skills/colt-author-response in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/colt-author-response in your project. Claude Code loads it when a task matches its description.
How do I install Colt Author Response in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill colt-author-response -a codex`. Or copy the skill folder (COLT-Skills/skills/colt-author-response in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/colt-author-response in your project. Codex loads it when a task matches its description.
Can I use Colt 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 colt-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/colt-author-response, .gemini/skills/colt-author-response, .github/skills/colt-author-response and .opencode/skills/colt-author-response in your project.
What does Colt Author Response need to run?
SKILL.md names no scripts, command-line tools or credentials: Colt Author Response is instructions for the agent only.
Does Colt 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 Colt 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 Colt Author Response use?
Colt 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 Colt Author Response use?
About 1.8k tokens (SKILL.md is roughly 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 Colt Author Response?
Skills that share tags, products or a category with Colt Author Response: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Colt 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.