submission-pack

submission-pack is a skill for Claude Code, Codex from matthewdigiuseppe/MStack. It costs 70 tokens per session (985 once invoked), scanned A, original, MIT.

A final preparation check for submitting an academic paper to a journal. It handles anonymous review requirements, length and formatting rules, separate title pages, and the submission checklist.

In plain words
What is it for?
Use it to prepare a manuscript for a specific journal, remove identifying details for double-blind review, verify word and abstract limits, and check files, references, figures, tables, and supplementary material.
Why use it?
Papers can be rejected by a journal before review if they break basic rules or reveal the authors' identities. This check catches those mechanical problems before submission.

Skill for Claude CodeCodex

Part of the mstack plugin — 38 skills, 1 hook shipped together

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.

agentmods
npx agentmods add skills/matthewdigiuseppe/mstack/submission-pack
Any agent
npx skills add matthewdigiuseppe/MStack --skill submission-pack
Clone the repo
git clone --depth 1 https://github.com/matthewdigiuseppe/MStack

Made for: Claude Code, Codex.

Or install mstack, the plugin that ships this one along with the rest of its 38 skills, 1 hook.

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 submission-pack

README.md
[![agentmods](https://agentmods.dev/badge/skills/matthewdigiuseppe/mstack/submission-pack.svg)](https://agentmods.dev/skills/matthewdigiuseppe/mstack/submission-pack)
Your own site
<a href="https://agentmods.dev/skills/matthewdigiuseppe/mstack/submission-pack"><img src="https://agentmods.dev/badge/skills/matthewdigiuseppe/mstack/submission-pack.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 985 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00070 $0.00985
Opus 5 $0.00035 $0.00492
Sonnet 5 $0.00014 $0.00197
Haiku 4.5 $0.00007 $0.00098

Measured 5d ago against content hash 9659c49d0b8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

submission-pack 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 5d 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/submission-pack/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/mstack:submission-pack

Stage: submit Voice: production-editor

When to invoke

After /mstack:journal-fit picks the journal and the manuscript is final. Everything else in MStack front-runs the reviewers; this skill front-runs the desk — the mechanical checks (anonymity, word count, formatting) that get papers bounced before anyone reads them.

Argument

$ARGUMENTS (optional) — the journal to pack for. Defaults to the tier-1 journal in .mstack/config.yaml.

Procedure

  1. Establish the journal's requirements. WebFetch the journal's author guidelines, or ask the user for them; never trust memory for word caps, anonymization policy, abstract limits, or reference style — they change. Record: word cap (and what counts toward it), abstract cap, double-blind y/n, figure/table placement rules, reference style, supplementary-material policy.

  2. Anonymization sweep (double-blind journals):

    • Grep paper/ for every author name and affiliation from .mstack/config.yaml.
    • Find self-identifying citations — "our previous work", "as we showed (Name YEAR)" — and recast in third person or as "Author (YEAR)" per the journal's convention. Never delete the citation itself; that breaks the argument.
    • Strip or fence acknowledgments, thanks, grant numbers, IRB protocol numbers tied to an institution, and \thanks{}/\author{} content into a separate paper/title-page.tex that is NOT part of the anonymized build.
    • Note PDF metadata: the compiled anonymized PDF must not carry author names in its document properties.
  3. Compliance checks:

    • Word count vs. the cap (texcount main.tex -inc -total if available; otherwise a documented approximation) — state the count and the margin.
    • Abstract length vs. the abstract cap.
    • Reference style vs. what the bibliography actually produces.
    • Figures/tables: count, placement (embedded vs. end-of-manuscript), and resolution requirements.
  4. Build the bundle. Compile the anonymized manuscript and the title page separately (latexmk/pdflatex, or quarto render; if no TeX toolchain is available, stage the sources and list the manual compile steps). Stage everything under submission/<journal-slug>/: anonymized PDF, title page, figures at spec, supplementary material, and the prereg URL if design.prereg is true.

Read the full file on GitHub · 67 lines

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. 5d ago First seen · 67 lines · 70 tokens per session scan A 9659c49d0b8c

Subscribe to this mod's changes

submission-pack is a skill published in the GitHub repository matthewdigiuseppe/MStack (14 stars, last pushed 8d ago), licensed MIT. It adds 70 tokens to every session and 985 once invoked, about $0.0003 per session on Opus 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.

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