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msom-submission

100 / 100 · Low risk

Fine to try.

By brycewang-stanford/Awesome-Journal-Skills (GitHub) · research · 1,416 stars · scanned at commit 932eb23

Use when running the final pre-submission preflight for a Manufacturing & Service Operations Management (M&SOM) manuscript — the ScholarOne portal, double-anonymous anonymization, the 32-page typeset cap on the official template, the structured abstract, author-chosen Department routing with two preferred Department Editors, and data/code disclosure. Checks readiness to submit; it does not handle the post-decision response (msom-rebuttal).

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'msom-submission' ] || [ -L ~/.agents/skills/'msom-submission' ]; then echo 'A skill folder named msom-submission already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/brycewang-stanford/Awesome-Journal-Skills' "$d" && git -C "$d" checkout --quiet '932eb23331721b16e967c59f093781be1928b498' -- 'Manufacturing-and-Service-Operations-Management-Skills/skills/msom-submission' && mkdir -p ~/.agents/skills && cp -R "$d"/'Manufacturing-and-Service-Operations-Management-Skills/skills/msom-submission' ~/.agents/skills/'msom-submission' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'msom-submission' ~/.claude/skills/'msom-submission' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-08932eb23100
2026-11-07932eb23100