A skill your agent uses when targeting JAMA Oncology or deciding whether a clinical-oncology study fits this venue.

MITAuto-check passedResearch & Science

Install Jama Oncology

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jama-oncology -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jama-oncology --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/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Clinical-Medicine-Journal-Skills/skills/jama-oncology .claude/skills/jama-oncology && 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
jama-oncology
GitHub stars
1.2k
Token cost
~2k tokens
SKILL.md length
803 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting JAMA Oncology or deciding whether a clinical-oncology study fits this venue.

  • Targeting JAMA Oncology
  • 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 clinical-oncology study fits this venue

What it does

Jama Oncology is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting JAMA Oncology or deciding whether a clinical-oncology study fits this venue. Encodes the journal's fit, the cancer-trial and outcomes-research evidence bar, reporting-guideline and trial-registration requirements, JAMA Network house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

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 Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Targeting JAMA Oncology
  • Deciding whether a clinical-oncology study fits this venue

Example prompts

  • “/jama-oncology”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. 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

Jama Oncology loads about 2k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 803 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
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

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 803 words, ~1,954 tokens.

Download SKILL.mdSave it as .claude/skills/jama-oncology/SKILL.md (or your agent's skills folder).
name
jama-oncology
description
Use when targeting JAMA Oncology or deciding whether a clinical-oncology study fits this venue. Encodes the journal's fit, the cancer-trial and outcomes-research evidence bar, reporting-guideline and trial-registration requirements, JAMA Network house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.

JAMA Oncology (jama-oncology)

Journal positioning

JAMA Oncology is a JAMA Network specialty journal for clinical and translational oncology research aimed at a broad cancer-care readership — medical, surgical, and radiation oncologists, as well as cancer-epidemiology and outcomes researchers. It favors practice-relevant work: randomized cancer trials, comparative-effectiveness and real-world outcomes analyses, screening and prevention studies, and biomarker work tied to a clinically meaningful endpoint. It is positioned as a general oncology venue with JAMA's emphasis on absolute benefit, toxicity, and patient-centered outcomes, distinct from a society flagship such as Annals of Oncology (ESMO). Single-arm early-phase reports with no comparator, descriptive molecular series, and surrogate-only signals with weak clinical translation are a weak fit. This skill is a fit / venue-selection / re-framing aid; it is not clinical or regulatory advice and does not replace the journal's current instructions for authors. Before submitting, re-check the live JAMA Oncology author instructions.

When to trigger

  • The author names JAMA Oncology for a clinical, epidemiologic, or outcomes oncology study and wants a fit/framing check.
  • A cancer study must be re-framed around a clinically meaningful survival, toxicity, or quality-of-life endpoint for a broad oncology audience.
  • The author is choosing between JAMA Oncology, JAMA, and a society or subspecialty oncology journal (e.g., Annals of Oncology).
  • The author needs the journal's reporting-guideline, registration, and desk-reject expectations for oncology work.

Scope & topic fit

  • Randomized oncology trials (phase 2/3) reporting survival, response, toxicity, or patient-reported outcomes, including practice-de-escalation trials.
  • Comparative-effectiveness and real-world-evidence studies using cancer registries, claims, or institutional cohorts with rigorous confounding control.
  • Cancer screening, early-detection, and prevention studies with clinically meaningful endpoints and harms accounting.
  • Prognostic and predictive biomarker studies validated against an outcome, not just associated with a molecular feature.
  • Health-services, disparities, financial-toxicity, and survivorship research in oncology.
  • Pooled analyses and meta-analyses answering a focused, decision-relevant cancer question.

Method & evidence bar

  • Trials must be adequately powered with a prespecified primary endpoint; overall survival and validated surrogates are preferred, and surrogate-only endpoints need explicit justification of clinical relevance.
  • The applicable reporting guideline and checklist are required: CONSORT for trials, STROBE for observational/registry studies, PRISMA for systematic reviews, REMARK-style rigor for tumor-marker work.
  • Trials require prospective registration; registration number, protocol, and statistical-analysis plan are expected, including amendments.
  • Survival analyses must report absolute differences, hazard ratios with confidence intervals, and adequate follow-up; toxicity (graded per a standard scheme) must be reported alongside efficacy.
  • Real-world/registry claims must address immortal-time, selection, and indication bias; causal language must match the design.
  • Biomarker claims need a prespecified cut-point, an independent validation set, and reporting of analytic performance.

Structure & house style

  • JAMA Network format with a structured abstract and a Key Points box; re-check current article types (Original Investigation, Brief Report, Research Letter, etc.) and limits on the live guide.
  • The introduction frames a focused, decision-relevant cancer question; the discussion states the practice implication and net clinical benefit plainly.
  • Tables/figures follow JAMA Network statistical-reporting standards; CONSORT/STROBE flow diagrams, Kaplan-Meier curves with numbers at risk, and toxicity tables are expected where applicable.
  • Supplements carry the protocol, SAP, full toxicity and subgroup analyses, and consort/biomarker checklists.
Show full SKILL.md (297 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the ICMJE and JAMA Network anchors, then cite the current JAMA Oncology page you checked.
  • Search the live site for "JAMA Oncology instructions for authors" and follow the current version.
  • Re-check article types and word/reference/table limits, structured-abstract and Key Points format, and the JAMA Network statistical-reporting requirements.
  • Confirm trial registration, the reporting checklist (CONSORT/STROBE/PRISMA), the data-sharing statement, and protocol/SAP submission.
  • Re-check IRB/ethics and consent statements, ICMJE authorship and conflict-of-interest disclosure (industry ties are scrutinized in oncology), funding, and AI-use disclosure.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • The study answers a decision-relevant cancer question with a clinically meaningful endpoint and net-benefit framing.
  • The primary endpoint is prespecified; survival/toxicity are reported with absolute and relative measures and adequate follow-up.
  • The correct reporting checklist (CONSORT/STROBE/PRISMA) is completed and attached.
  • Trials are prospectively registered with the number in the manuscript; protocol/SAP provided.
  • Registry/real-world analyses address immortal-time, selection, and indication bias; biomarkers are independently validated.
  • IRB/consent, ICMJE disclosures (including industry funding), and a data-sharing statement are prepared.

Common desk-reject triggers

  • Single-arm early-phase reports with no comparator presented as practice-relevant.
  • Surrogate-only endpoints (e.g., response rate, PFS) framed as definitive clinical benefit without justification.
  • Registry/real-world analyses with immortal-time or indication bias and overstated causal claims.
  • Biomarker associations with no prespecified cut-point or independent validation.
  • Missing trial registration, protocol, or toxicity reporting alongside efficacy.
  • Narrow molecular or subspecialty interest better served by a society or basic-science cancer journal.

Re-routing decision

  • ESMO-society readership or European practice framing → annals-of-oncology.
  • Broadly practice-changing, top-tier cancer trial → general medicine (jama / NEJM / The Lancet in the natural-science bundle).
  • General internal-medicine relevance over oncology specialty → jama-internal-medicine.
  • Cancer imaging with an imaging-method core → radiology.
  • Surgical-oncology technique or perioperative focus → jama-surgery.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] JAMA Oncology
[Specialty tags] <2–3 closest oncology topics>
[Study design / reporting guideline] <RCT-CONSORT / registry-STROBE / review-PRISMA / biomarker-REMARK>
[Method/evidence] <does power, endpoint, registration, and validation clear the bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / registration / checklist / toxicity / ethics / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Clinical-Medicine-Journal-Skills/skills/jama-oncology of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Jama Oncology

What does Jama Oncology do?

A skill your agent uses when targeting JAMA Oncology or deciding whether a clinical-oncology study fits this venue. Jama Oncology is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting JAMA Oncology or deciding whether a clinical-oncology study fits this venue.

When should I use Jama Oncology?

Jama Oncology fits situations like: targeting JAMA Oncology; deciding whether a clinical-oncology study fits this venue.

How do I install Jama Oncology in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jama-oncology -a claude-code`. Or copy the skill folder (Clinical-Medicine-Journal-Skills/skills/jama-oncology in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jama-oncology in your project. Claude Code loads it when a task matches its description.

How do I install Jama Oncology in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jama-oncology -a codex`. Or copy the skill folder (Clinical-Medicine-Journal-Skills/skills/jama-oncology in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jama-oncology in your project. Codex loads it when a task matches its description.

Can I use Jama Oncology 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 brycewang-stanford/Awesome-Journal-Skills --skill jama-oncology -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jama-oncology, .gemini/skills/jama-oncology, .github/skills/jama-oncology and .opencode/skills/jama-oncology in your project.

What does Jama Oncology need to run?

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

Does Jama Oncology 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 Jama Oncology 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 Jama Oncology use?

Jama Oncology is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jama Oncology use?

About 2k tokens (SKILL.md is roughly 7.8k 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 Jama Oncology?

Skills that share tags, products or a category with Jama Oncology: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jama Oncology?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.