A skill your agent uses to choose the PNAS submission track — Direct Submission (standard, editor-assigned, peer reviewed) vs Contributed Submission (an NAS member communicates their own paper).

No licenceAuto-check passed

Install Pnas Track

skills CLI
$ npx skills add franklee16/academic-research-skills --skill pnas-track -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills pnas-track --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/PNAS-Skills/skills/pnas-track .claude/skills/pnas-track && 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
pnas-track
GitHub stars
223
Used in
1 other repo
Token cost
~1.5k tokens
SKILL.md length
773 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses to choose the PNAS submission track — Direct Submission (standard, editor-assigned, peer reviewed) vs Contributed Submission (an NAS member communicates their own paper).

  • Choose the PNAS submission track — Direct Submission (standard
  • SKILL.md covers Why this skill exists, When to trigger, The tracks and How to pick, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Editor-assigned

What it does

Pnas Track is an agent skill from franklee16/academic-research-skills. Use to choose the PNAS submission track — Direct Submission (standard, editor-assigned, peer reviewed) vs Contributed Submission (an NAS member communicates their own paper). Covers eligibility, the editor/member role, the discontinued and legacy tracks, and how to pick. Unique to PNAS.

Its SKILL.md is about 1.5k 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

  • Choose the PNAS submission track — Direct Submission (standard
  • Editor-assigned
  • Peer reviewed) vs Contributed Submission (an NAS member communicates their own paper)

Example prompts

  • “/pnas-track”

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

Pnas Track loads about 1.5k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 773 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
~1.5k

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 773 words (~1,511 tokens).

“The submission track is PNAS's signature feature and has no equivalent at Science or Nature. The track determines who handles the paper, who picks reviewers, and how the published article is labeled. Pick it early — it shapes the entire…”

— opening of SKILL.md by franklee16
name
pnas-track

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/PNAS-Skills/skills/pnas-track 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

Pnas Track 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.

Pnas Track compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pnas Track this skillfranklee16/academic-research-skills2231 repos~1.5kAutomated safety check: PassNone
Telemetry Standardssupabase/supabase111k—~2kAutomated safety check: PassApache-2.0
Direction Pickernexu-io/open-design100k—~472Automated safety check: WarnApache-2.0
Frontend Design Directionaffaan-m/ECC277k1 repos~2.2kAutomated safety check: PassMIT
Cpp Coding Standardsaffaan-m/ECC277k4 repos~5.6kAutomated safety check: PassMIT
Java Coding Standardsaffaan-m/ECC277k1 repos~2.9kAutomated safety check: PassMIT

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Questions about Pnas Track

What does Pnas Track do?

A skill your agent uses to choose the PNAS submission track — Direct Submission (standard, editor-assigned, peer reviewed) vs Contributed Submission (an NAS member communicates their own paper). Pnas Track is an agent skill from franklee16/academic-research-skills. Use to choose the PNAS submission track — Direct Submission (standard, editor-assigned, peer reviewed) vs Contributed Submission (an NAS member communicates their own paper).

When should I use Pnas Track?

Pnas Track fits situations like: choose the PNAS submission track — Direct Submission (standard; editor-assigned; peer reviewed) vs Contributed Submission (an NAS member communicates their own paper).

How do I install Pnas Track in Claude Code?

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

How do I install Pnas Track in Codex?

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

Can I use Pnas Track 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 pnas-track -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pnas-track, .gemini/skills/pnas-track, .github/skills/pnas-track and .opencode/skills/pnas-track in your project.

What does Pnas Track need to run?

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

Does Pnas Track 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 Pnas Track 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 Pnas Track use?

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

How many tokens does Pnas Track use?

About 1.5k tokens (SKILL.md is roughly 6k 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 Pnas Track?

Skills that share tags, products or a category with Pnas Track: Telemetry Standards (supabase/supabase, 111k stars), Direction Picker (nexu-io/open-design, 100k stars), Frontend Design Direction (affaan-m/ECC, 277k stars) and Cpp Coding Standards (affaan-m/ECC, 277k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pnas Track?

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.