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find-journal

find-journal is a skill for Claude Code from Aperivue/medsci-skills. It costs 54 tokens per session (3,147 once invoked), scanned A, original, MIT.

A recommendation tool that matches a medical manuscript with suitable academic journals. It uses journal profiles and returns ranked suggestions with reasons, artificial-intelligence disclosure policies, and website links.

In plain words
What is it for?
Recommending journals for a medical paper from its abstract, main findings, and study type, with additional publication details when available.
Why use it?
Choosing a journal requires comparing a paper's subject and study type with many journals' scopes and policies. This narrows that search to a short, explained list.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_SKILL_DIR} variable.

Part of the medsci-submission plugin — 6 skills shipped together

not rated 353repo +4 changed 26d ago A scan SkillSpector: warn 54 tokens original MIT

Good fit Recommending journals for a medical paper from its abstract, main findings, and study type, with additional publication details when available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aperivue/medsci-skills/find-journal
View source ↗ Aperivue/medsci-skills aperivue.com
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Aperivue/medsci-skills --skill find-journal
Clone the repo
git clone --depth 1 https://github.com/Aperivue/medsci-skills

Made for: Claude Code.

Or install medsci-submission, the plugin that ships this one along with the rest of its 6 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for find-journal

README.md
[![agentmods](https://agentmods.dev/badge/skills/aperivue/medsci-skills/find-journal/github.svg)](https://agentmods.dev/skills/aperivue/medsci-skills/find-journal)
Your own site
<a href="https://agentmods.dev/skills/aperivue/medsci-skills/find-journal"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/find-journal/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for find-journal

Your own site · 80×15
<a href="https://agentmods.dev/skills/aperivue/medsci-skills/find-journal"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/find-journal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,147 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 403
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.03147
Opus 5.5 $0.00022 $0.01259
Sonnet 5.5 $0.00011 $0.00629
Haiku 4.5 $0.00005 $0.00315

Measured 26d ago against content hash f4b4e02ee78b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

find-journal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 26d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/find-journal/SKILL.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Find Journal Skill

Phase 1: Input Collection

Required Inputs

  1. Abstract text or key findings summary
  2. Study type: original research, meta-analysis, case report, technical note, review, letter, AI validation, diagnostic accuracy, etc.

Optional Inputs

  1. Preferred tier: Q1 / Q1-Q2 / any (default: any)
  2. OA preference: Full OA / Hybrid OK / No preference (default: no preference)
  3. Field focus: radiology, medical AI, clinical specialty, methodology, education, general medicine
  4. Journals to exclude: journals that have already rejected this manuscript

If only an abstract is given, infer the study type from it. When called from /write-paper or another skill, take the abstract and study type from the calling context and skip these questions.

Phase 2: Theme Extraction

From the abstract or key findings, extract: disease/condition; modality/technique; methodology (e.g., retrospective cohort, diagnostic accuracy, systematic review, RCT); population; and innovation type (new algorithm, clinical validation, workflow improvement, educational tool).

Phase 2.5: Acceptance-Readiness & Design-Ceiling Pre-flight

Editors screen importance/novelty and the design ceiling before scope fit (lack of novelty/importance is the top desk-rejection cause). This phase estimates that first filter, so the skill does not recommend a venue whose bar the design cannot clear. It is advisory, and its flags are not auto-fixable: the author decides.

2.5.1 Run the deterministic pre-flight (preferred)

If a manuscript or abstract file is available, run:

python3 ${CLAUDE_SKILL_DIR}/scripts/assess_acceptance_readiness.py <manuscript_or_abstract.md>
# add --json for a machine-readable report

It returns flags in four categories — DESIGN_CEILING, UNFIXABLE_DEFECT, IMPORTANCE_RISK, CLAIM_MISMATCH — and a ceiling verdict (NO LISTED SIGNAL MATCHED - NOT A DESIGN CLEARANCE … / IMPORTANCE-FRAMING REVIEW … / SPECIALTY / TOLERANT-VENUE OR DESIGN FIX … / HIGH-IMPACT VENUE UNLIKELY …).

Read the full file on GitHub · 303 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 26d ago Changed · +11 lines f4b4e02ee78b
  2. 28d ago Changed · -113 lines · -76 tokens per session 336174d2dd2c
  3. 1mo ago First seen · 405 lines · 130 tokens per session scan A 7cfe761e0cb7

Subscribe to this mod's changes

find-journal is a skill published in the GitHub repository Aperivue/medsci-skills (353 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 3,147 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Claude CodeResearchScientificbiostatisticsclaude-skillsclinical-researchdiagnostic-accuracyliterature-review
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