Agent skill

Est Review Process

by franklee16 in franklee16/academic-research-skills

A skill your agent uses to understand how Environmental Science & Technology (ES&T) evaluates a manuscript — editor desk-screening that declines a significant fraction without external review…

No licenceAuto-check passed

Install Est Review Process

skills CLI
$ npx skills add franklee16/academic-research-skills --skill est-review-process -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills est-review-process --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/Environmental-Science-and-Technology-Skills/skills/est-review-process .claude/skills/est-review-process && 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
est-review-process
GitHub stars
223
Used in
1 other repo
Token cost
~846 tokens
SKILL.md length
331 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses to understand how Environmental Science & Technology (ES&T) evaluates a manuscript — editor desk-screening that declines a significant fraction without external review…

  • Works in 5 steps: Editorial screening first. The… → Expert external review. Manuscripts that… → Editor decision. Associate editors and… → …
  • Expert review by typically three reviewers
  • SKILL.md covers When to trigger, How ES&T review works, Shape the paper to pass and Anti-patterns, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Est Review Process is an agent skill from franklee16/academic-research-skills. Use to understand how Environmental Science & Technology (ES&T) evaluates a manuscript — editor desk-screening that declines a significant fraction without external review, expert review by typically three reviewers, and editor-led decisions. It sets expectations and shapes the paper to survive review; it does not contact editors.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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

  • Expert review by typically three reviewers
  • Editor-led decisions

Example prompts

  • “/est-review-process”

Workflow steps

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

  1. Editorial screening first. The Editor-in-Chief / executive editors screen submissions; a
  2. Expert external review. Manuscripts that pass are sent to expert reviewers — typically
  3. Editor decision. Associate editors and the editorial leadership make the call; typical outcomes
  4. Author input. Authors suggest ≥4 non-conflicted reviewers and may note non-preferred ones
  5. Integrity checks. Submissions are screened for plagiarism with iThenticate/CrossCheck and

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

Est Review Process loads about 846 tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 331 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
~846

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 331 words (~846 tokens).

“Knowing how ES&T screens and decides lets you pre-empt the failure modes before submitting. ES&T editors desk-decline a significant fraction of submissions before any external review, so the manuscript must clear the editorial bar on significance and fit first.”

— opening of SKILL.md by franklee16
name
est-review-process

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Environmental-Science-and-Technology-Skills/skills/est-review-process 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

Est Review Process 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.

Est Review Process compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Est Review Process this skillfranklee16/academic-research-skills2231 repos~846Automated safety check: PassNone
Arize Evaluatorgithub/awesome-copilot40k1 repos~8.1kAutomated safety check: NotesMIT
LLM Evaluationdavila7/claude-code-templates33k12 repos~3.5kAutomated safety check: PassMIT
Agent Evaluationsickn33/agentic-awesome-skills47k1 repos~2kAutomated safety check: PassMIT
EvaluatorsArize-ai/phoenix12k—~1.7kAutomated safety check: PassCustom licence
Agent Evaluation Reportingsickn33/agentic-awesome-skills47k1 repos~2.1kAutomated safety check: PassMIT

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Questions about Est Review Process

What does Est Review Process do?

A skill your agent uses to understand how Environmental Science & Technology (ES&T) evaluates a manuscript — editor desk-screening that declines a significant fraction without external review…. Est Review Process is an agent skill from franklee16/academic-research-skills. Use to understand how Environmental Science & Technology (ES&T) evaluates a manuscript — editor desk-screening that declines a significant fraction without external review, expert review by typically three reviewers, and editor-led decisions.

When should I use Est Review Process?

Est Review Process fits situations like: expert review by typically three reviewers; editor-led decisions.

How do I install Est Review Process in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill est-review-process -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Environmental-Science-and-Technology-Skills/skills/est-review-process in franklee16/academic-research-skills) into .claude/skills/est-review-process in your project. Claude Code loads it when a task matches its description.

How do I install Est Review Process in Codex?

Run `npx skills add franklee16/academic-research-skills --skill est-review-process -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Environmental-Science-and-Technology-Skills/skills/est-review-process in franklee16/academic-research-skills) into .agents/skills/est-review-process in your project. Codex loads it when a task matches its description.

Can I use Est Review Process 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 est-review-process -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/est-review-process, .gemini/skills/est-review-process, .github/skills/est-review-process and .opencode/skills/est-review-process in your project.

What does Est Review Process need to run?

SKILL.md names no scripts, command-line tools or credentials: Est Review Process is instructions for the agent only.

Does Est Review Process 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 Est Review Process 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 Est Review Process use?

No licence was found for Est Review Process or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Est Review Process use?

About 846 tokens (SKILL.md is roughly 3.4k 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 Est Review Process?

Skills that share tags, products or a category with Est Review Process: Arize Evaluator (github/awesome-copilot, 40k stars), LLM Evaluation (davila7/claude-code-templates, 33k stars), Agent Evaluation (sickn33/agentic-awesome-skills, 47k stars) and Evaluators (Arize-ai/phoenix, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Est Review Process?

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.