Agent skill

Prl Referee Strategy

by franklee16 in franklee16/academic-research-skills

A skill your agent uses when choosing suggested and opposed referees for a Physical Review Letters submission and pre-empting the objections APS referees are likely to raise.

No licenceAuto-check passed

Install Prl Referee Strategy

skills CLI
$ npx skills add franklee16/academic-research-skills --skill prl-referee-strategy -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills prl-referee-strategy --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/Physical-Review-Letters-Skills/skills/prl-referee-strategy .claude/skills/prl-referee-strategy && 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
prl-referee-strategy
GitHub stars
223
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
452 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when choosing suggested and opposed referees for a Physical Review Letters submission and pre-empting the objections APS referees are likely to raise.

  • SKILL.md covers When to trigger, How PRL review works (durable…, Choosing suggested referees and Choosing opposed referees, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prl Referee Strategy is an agent skill from franklee16/academic-research-skills. Use when choosing suggested and opposed referees for a Physical Review Letters submission and pre-empting the objections APS referees are likely to raise. Plans referee handling; does not write the manuscript or the rebuttal.

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.

The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.

Example prompts

  • “/prl-referee-strategy”

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

Prl Referee Strategy loads about 1.1k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 452 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
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 452 words (~1,082 tokens).

“PRL is selective. APS editors triage on importance + breadth, then send promising Letters to referees (commonly two or more). A referee can recommend rejection on importance/breadth grounds even when the work is correct — so your strategy must defend…”

— opening of SKILL.md by franklee16
name
prl-referee-strategy

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Physical-Review-Letters-Skills/skills/prl-referee-strategy 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

Prl Referee Strategy 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.

Prl Referee Strategy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prl Referee Strategy this skillfranklee16/academic-research-skills2231 repos~1.1kAutomated safety check: PassNone
Suggest Automationsn8n-io/n8n207k—~2kAutomated safety check: PassCustom licence
Suggestion Boxpaperclipai/paperclip99k—~1.3kAutomated safety check: PassMIT
Physical Addressthedaviddias/Front-End-Checklist74k—~574Automated safety check: PassMIT
Referee Responsebrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~647Automated safety check: NotesCustom licence
Ngeo Referee Strategybrycewang-stanford/Awesome-Journal-Skills1.2k—~1.6kAutomated safety check: PassMIT

Similar skills

  • Official

    Offer the three most common automations for a user as a single-choice card, from your own knowledge of their team and their apps, then build the one they choose once they confirm, or offer more.

    207k GitHub stars~2k tokensUpdated today
    Productivity & AutomationAuto-check passed
  • Suggestion Box

    paperclipai/paperclip

    Quietly suggest a concrete improvement after observing material, generalizable friction in agent work.

    99k GitHub stars~1.3k tokensUpdated today
    Auto-check passed
  • Physical Address

    thedaviddias/Front-End-Checklist

    A skill your agent uses when auditing local business websites, e-commerce sites, or any site where a physical presence affects trust or local search visibility.

    74k GitHub stars~574 tokensUpdated 3 days ago
    Marketing & SEOAuto-check passed
  • Referee Response

    brycewang-stanford/Auto-Empirical-Research-Skills

    Drafts a point-by-point response letter to referee comments with suggested edits.

    4.5k GitHub stars~647 tokensUpdated 4 days ago
    Research & ScienceAuto-check: notes
  • Ngeo Referee Strategy

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when choosing suggested and excluded referees for a Nature Geoscience submission and pre-empting the objections Earth-science referees are likely to raise.

    1.2k GitHub stars~1.6k tokensUpdated 12 days ago
    Research & ScienceAuto-check passed
  • Employee Suggestion Hub

    sickn33/agentic-awesome-skills

    Suggestion register: submitter or anonymous flag, category, votes, reviewer, decision and response status.

    47k GitHub starsUsed in 1 repo~3.4k tokens
    Business, Finance & HRAuto-check passed

More from franklee16/academic-research-skills

All 1,617 skills in this repo
  • Econometric Research Writing

    franklee16/academic-research-skills

    End-to-end econometric analysis and economics/management paper-writing workflow.

    223 GitHub stars~2.4k tokensUpdated 21 days ago
    Auto-check passed
  • Paper Revision

    franklee16/academic-research-skills

    Comprehensive workflow for handling journal Revise and Resubmit (R&R) decisions.

    223 GitHub stars~3.4k tokensUpdated 21 days ago
    Auto-check passed
  • Sci Ssci Polishing

    franklee16/academic-research-skills

    A skill your agent uses when researchers need Chinese academic prose translated into publication-oriented English or English manuscript paragraphs and complete sections polished for SCI, SSCI, or…

    223 GitHub starsUsed in 1 repo~1.5k tokens
    Auto-check passed
  • Research Defense Radar

    franklee16/academic-research-skills

    Assess and monitor an ongoing research project's competitor landscape, novelty risk, and method/data opportunities from a proposal, paper, research question, data or method notes, or a suspected…

    223 GitHub stars~4k tokensUpdated 21 days ago
    Auto-check passed
  • Academic Grant

    franklee16/academic-research-skills

    Generate or fill in academic grant application forms (project statement, education plan, pathway to impact, references) using draft research material.

    223 GitHub stars~2.8k tokensUpdated 21 days ago
    Auto-check: notes
  • Chinese Reference Formatter Skill

    franklee16/academic-research-skills

    A skill your agent uses when a user needs通用中文参考文献、GB/T 7714-style bibliography entries, Chinese academic reference formatting, or BibTeX completion from Chinese or English literature titles…

    223 GitHub stars~1.1k tokensUpdated 21 days ago
    Auto-check passed

Questions about Prl Referee Strategy

What does Prl Referee Strategy do?

A skill your agent uses when choosing suggested and opposed referees for a Physical Review Letters submission and pre-empting the objections APS referees are likely to raise. Prl Referee Strategy is an agent skill from franklee16/academic-research-skills. Use when choosing suggested and opposed referees for a Physical Review Letters submission and pre-empting the objections APS referees are likely to raise.

How do I install Prl Referee Strategy in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill prl-referee-strategy -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Physical-Review-Letters-Skills/skills/prl-referee-strategy in franklee16/academic-research-skills) into .claude/skills/prl-referee-strategy in your project. Claude Code loads it when a task matches its description.

How do I install Prl Referee Strategy in Codex?

Run `npx skills add franklee16/academic-research-skills --skill prl-referee-strategy -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Physical-Review-Letters-Skills/skills/prl-referee-strategy in franklee16/academic-research-skills) into .agents/skills/prl-referee-strategy in your project. Codex loads it when a task matches its description.

Can I use Prl Referee Strategy 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 prl-referee-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prl-referee-strategy, .gemini/skills/prl-referee-strategy, .github/skills/prl-referee-strategy and .opencode/skills/prl-referee-strategy in your project.

What does Prl Referee Strategy need to run?

SKILL.md names no scripts, command-line tools or credentials: Prl Referee Strategy is instructions for the agent only.

Does Prl Referee Strategy 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 Prl Referee Strategy 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 Prl Referee Strategy use?

No licence was found for Prl Referee Strategy or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Prl Referee Strategy use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Prl Referee Strategy?

Skills that share tags, products or a category with Prl Referee Strategy: Suggest Automations (n8n-io/n8n, 207k stars), Suggestion Box (paperclipai/paperclip, 99k stars), Physical Address (thedaviddias/Front-End-Checklist, 74k stars) and Referee Response (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prl Referee Strategy?

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.