Agent skill

Physical Review D

by franklee16 in franklee16/academic-research-skills

A skill your agent uses when targeting Physical Review D (PRD) or deciding whether a particles, fields, gravitation, or cosmology manuscript fits this APS archival venue.

No licenceAuto-check passedProduct & Project Management

Install Physical Review D

skills CLI
$ npx skills add franklee16/academic-research-skills --skill physical-review-d -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills physical-review-d --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/English-NaturalScience-Journal-Skills/skills/physical-review-d .claude/skills/physical-review-d && 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
physical-review-d
GitHub stars
223
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
889 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when targeting Physical Review D (PRD) or deciding whether a particles, fields, gravitation, or cosmology manuscript fits this APS archival venue.

  • Targeting Physical Review D (PRD)
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Deciding whether a particles

What it does

Physical Review D is an agent skill from franklee16/academic-research-skills. Use when targeting Physical Review D (PRD) or deciding whether a particles, fields, gravitation, or cosmology manuscript fits this APS archival venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 2k 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 Product & Project Management, covering PRD writing. 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

  • Targeting Physical Review D (PRD)
  • Deciding whether a particles
  • Cosmology manuscript fits this APS archival venue

Example prompts

  • “/physical-review-d”

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

Physical Review D loads about 2k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 889 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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 889 words (~1,986 tokens).

“Physical Review D is the APS archival journal of record for high-energy physics, particle astrophysics, gravitation, and cosmology. It covers the theoretical and experimental physics of particles and fields, general relativity, gravitational waves, dark matter and dark energy, early-universe cosmology…”

— opening of SKILL.md by franklee16
name
physical-review-d

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/physical-review-d 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

Physical Review D 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.

Physical Review D compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Physical Review D this skillfranklee16/academic-research-skills2231 repos~2kAutomated safety check: PassNone
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Trellis Brainstormanjiemo/SunnyBeach1787 repos~4kAutomated safety check: PassApache-2.0
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT
Ralph Tui Create JSONsubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT

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Questions about Physical Review D

What does Physical Review D do?

A skill your agent uses when targeting Physical Review D (PRD) or deciding whether a particles, fields, gravitation, or cosmology manuscript fits this APS archival venue. Physical Review D is an agent skill from franklee16/academic-research-skills. Use when targeting Physical Review D (PRD) or deciding whether a particles, fields, gravitation, or cosmology manuscript fits this APS archival venue.

When should I use Physical Review D?

Physical Review D fits situations like: targeting Physical Review D (PRD); deciding whether a particles; cosmology manuscript fits this APS archival venue.

How do I install Physical Review D in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill physical-review-d -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/physical-review-d in franklee16/academic-research-skills) into .claude/skills/physical-review-d in your project. Claude Code loads it when a task matches its description.

How do I install Physical Review D in Codex?

Run `npx skills add franklee16/academic-research-skills --skill physical-review-d -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/English-NaturalScience-Journal-Skills/skills/physical-review-d in franklee16/academic-research-skills) into .agents/skills/physical-review-d in your project. Codex loads it when a task matches its description.

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

What does Physical Review D need to run?

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

Does Physical Review D 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 Physical Review D 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 Physical Review D use?

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

How many tokens does Physical Review D use?

About 2k tokens (SKILL.md is roughly 7.9k 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 Physical Review D?

Skills that share tags, products or a category with Physical Review D: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Ralph Tui Create Beads Rust (subsy/ralph-tui, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Physical Review D?

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.