Agent skill

Agsy Revision And Rebuttal

by franklee16 in franklee16/academic-research-skills

A skill your agent uses when writing the response to an Agricultural Systems (AgSy) revision decision.

No licenceAuto-check passedData & Analytics

Install Agsy Revision And Rebuttal

skills CLI
$ npx skills add franklee16/academic-research-skills --skill agsy-revision-and-rebuttal -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills agsy-revision-and-rebuttal --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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-revision-and-rebuttal .claude/skills/agsy-revision-and-rebuttal && 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
agsy-revision-and-rebuttal
GitHub stars
223
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
441 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when writing the response to an Agricultural Systems (AgSy) revision decision.

  • Works in 7 steps: Read the editor's letter as the rubric.… → One point-by-point response, every… → Concede or rebut explicitly, with… → …
  • Writing the response to an Agricultural Systems (AgSy) revision decision
  • SKILL.md covers When to trigger, Strategy, Response-letter format and Anti-patterns, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agsy Revision And Rebuttal is an agent skill from franklee16/academic-research-skills. Use when writing the response to an Agricultural Systems (AgSy) revision decision. AgSy review is single anonymized with at least two expert systems reviewers and an editor decision, and revisions often turn on model evaluation, sensitivity/uncertainty, and trade-off framing. The response must convert each reviewer without alienating the editor. Structures the response letter; it does not fabricate new results.

Its SKILL.md is about 1.1k 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 Data & Analytics, covering Machine learning. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.

When your agent uses it

  • Writing the response to an Agricultural Systems (AgSy) revision decision
  • Tasks that involve Machine learning

Example prompts

  • “/agsy-revision-and-rebuttal”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Read the editor's letter as the rubric. The editor signals which points are decisive — often
  2. One point-by-point response, every comment addressed. Quote each comment, then respond. Never
  3. Concede or rebut explicitly, with evidence. For each: did what was asked (say where, with the new
  4. Strengthen the model, don't just defend it. Most AgSy revisions improve with an added
  5. Reconcile conflicting reviewers openly. When R1 wants more complexity and R2 wants parsimony, say
  6. Protect the systems contribution. Resist changes that turn the paper back into a single-factor
  7. Keep the package in sync. Update the deposited data, code, and model so new tables/figures

What it can do on your machine

Read from SKILL.md and the folder at commit 9a4b2db. 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

Agsy Revision And Rebuttal loads about 1.1k tokens when it runs. Until then it costs about 110 tokens; SKILL.md has 441 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 441 words (~1,119 tokens).

“A revise decision at AgSy is a real chance — but systems reviewers tend to press on the model (calibration, evaluation, sensitivity, uncertainty) and the trade-off / decision framing. The response letter must move every reviewer toward yes while keeping…”

— opening of SKILL.md by franklee16
name
agsy-revision-and-rebuttal

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-revision-and-rebuttal of franklee16/academic-research-skills.

Open the folder on GitHubat commit 9a4b2db

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agsy Revision And Rebuttal 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.

Agsy Revision And Rebuttal compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agsy Revision And Rebuttal this skillfranklee16/academic-research-skills2231 repos~1.1kAutomated safety check: PassNone
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Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill188—~4kAutomated safety check: PassMIT
Senior Data ScientistRaidriar7170/hermes-skilleval1255 repos~1.4kAutomated safety check: PassMIT
Geomlitalo-goncalves/geoML109—~4.9kAutomated safety check: PassGPL-3.0
QuantMind Training Config Generatorqusong0627/QuantMind1.7k—~1.5kAutomated safety check: PassAGPL-3.0

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Questions about Agsy Revision And Rebuttal

What does Agsy Revision And Rebuttal do?

A skill your agent uses when writing the response to an Agricultural Systems (AgSy) revision decision. Agsy Revision And Rebuttal is an agent skill from franklee16/academic-research-skills. Use when writing the response to an Agricultural Systems (AgSy) revision decision.

When should I use Agsy Revision And Rebuttal?

Agsy Revision And Rebuttal fits situations like: writing the response to an Agricultural Systems (AgSy) revision decision; tasks that involve Machine learning.

How do I install Agsy Revision And Rebuttal in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill agsy-revision-and-rebuttal -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-revision-and-rebuttal in franklee16/academic-research-skills) into .claude/skills/agsy-revision-and-rebuttal in your project. Claude Code loads it when a task matches its description.

How do I install Agsy Revision And Rebuttal in Codex?

Run `npx skills add franklee16/academic-research-skills --skill agsy-revision-and-rebuttal -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Agricultural-Systems-Skills/skills/agsy-revision-and-rebuttal in franklee16/academic-research-skills) into .agents/skills/agsy-revision-and-rebuttal in your project. Codex loads it when a task matches its description.

Can I use Agsy Revision And Rebuttal 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 franklee16/academic-research-skills --skill agsy-revision-and-rebuttal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agsy-revision-and-rebuttal, .gemini/skills/agsy-revision-and-rebuttal, .github/skills/agsy-revision-and-rebuttal and .opencode/skills/agsy-revision-and-rebuttal in your project.

What does Agsy Revision And Rebuttal need to run?

SKILL.md names no scripts, command-line tools or credentials: Agsy Revision And Rebuttal is instructions for the agent only.

Does Agsy Revision And Rebuttal 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 Agsy Revision And Rebuttal 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 Agsy Revision And Rebuttal use?

No licence was found for Agsy Revision And Rebuttal or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Agsy Revision And Rebuttal use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 Agsy Revision And Rebuttal?

Skills that share tags, products or a category with Agsy Revision And Rebuttal: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars) and Geoml (italo-goncalves/geoML, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agsy Revision And Rebuttal?

franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.

Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.