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preflight-check

preflight-check is a skill for Claude Code from ShaishavMaisuria/research-paper-lifecycle-skills. It costs 212 tokens per session (2,460 once invoked), scanned B, original, Apache-2.0.

A pre-submission checker for LaTeX research papers. It checks whether a conference submission follows rules such as page limits, anonymous review requirements, required sections, and the venue’s template.

In plain words
What is it for?
Use it before submitting to conferences such as NeurIPS, ICML, or CHI. It checks the main .tex file, included files, and optionally a compiled log or PDF against a venue profile.
Why use it?
It helps catch problems that could cause a paper to be rejected before reviewers read it. This gives authors time to fix formatting, anonymity, or missing-content issues.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the paper-submission plugin — 12 skills shipped together

not rated 55repo 3d ago B scan 212 tokens original Apache-2.0

Good fit Use it before submitting to conferences such as NeurIPS, ICML, or CHI. It checks the main .tex file, included files, and optionally a compiled log or PDF against a venue profile.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shaishavmaisuria/research-paper-lifecycle-skills/preflight-check
View source ↗ ShaishavMaisuria/research-paper-lifecycle-skills shaishavmaisuria.github.io
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 ShaishavMaisuria/research-paper-lifecycle-skills --skill preflight-check
Clone the repo
git clone --depth 1 https://github.com/ShaishavMaisuria/research-paper-lifecycle-skills

Made for: Claude Code.

Or install paper-submission, the plugin that ships this one along with the rest of its 12 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 preflight-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/preflight-check/github.svg)](https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/preflight-check)
Your own site
<a href="https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/preflight-check"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/preflight-check/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 preflight-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/preflight-check"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/preflight-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 212 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,460 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00212 $0.02460
Opus 5.5 $0.00085 $0.00984
Sonnet 5.5 $0.00042 $0.00492
Haiku 4.5 $0.00021 $0.00246

Measured 1mo ago against content hash 12d16fa677a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

preflight-check scanned grade B with 1 finding 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 1mo ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/check_abstract.py, scripts/check_anonymization.py, scripts/check_sections.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Subtle steeringmediumPrompt injection

Instructions that bias recommendations or shape behaviour without the user noticing.

- A clean preflight is necessary, not sufficient — never tell the user the
skills/preflight-check/SKILL.md · 177 lines

How it starts

The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preflight Check

Run a deterministic desk-reject lint over a LaTeX submission before the authors hit "submit". Venues explicitly desk-reject — without review — for page-limit violations, template tampering, anonymization leaks, and missing mandatory sections. Every one of those is machine-checkable from the source. This skill catches them while there is still time to fix them.

When to use

  • "Is my paper ready to submit to NeurIPS / SIGSPATIAL / CHI / ...?"
  • "Check my paper for desk-reject risks" / "run a preflight"
  • "Did I anonymize this properly?" / "double-blind check"
  • "Am I over the page limit?" / "is my template compliant?"
  • Right after tailor-to-venue, and always before any actual submission.

Inputs

  1. The main .tex file of the submission (the one with \documentclass). \input/\include files are followed automatically.
  2. A venue profile: venues/conferences/<venue>-<year>.yml (schema in venues/schema.yml). If the venue has no profile yet, create one first with parse-cfp (or copy the nearest family file and fill it in).
  3. Optional but strongly recommended: a compiled .log or .pdf next to the .tex (same basename) so the page-count risk check can run.

Process

  1. Resolve the venue profile. Find the matching file under venues/conferences/. Confirm the year matches the target deadline cycle. Ask the user which track they are submitting to — page limits differ per track (e.g. SIGSPATIAL Research = 10 pages excl. references, Demo = 4 incl.). Sanity-check the merged profile with: python3 scripts/venue_profile.py venues/conferences/<venue>.yml --track <name>

  2. Re-verify critical facts against the live CFP — mandatory. Profiles are a starting point, never ground truth; a stale page limit causes the exact desk reject this skill exists to prevent. Fetch the profile's cfp_url and confirm: page limit + what it excludes, blind level, template invocation, required sections, and the deadline. If anything differs, update the profile YAML first and say so in the report.

Read the full file on GitHub · 177 lines

Files

What ships with it

9 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. 1mo ago First seen · 177 lines · 212 tokens per session scan B 12d16fa677a8

Subscribe to this mod's changes

preflight-check is a skill published in the GitHub repository ShaishavMaisuria/research-paper-lifecycle-skills (55 stars, last pushed 3d ago), licensed Apache-2.0. It adds 212 tokens to every session and 2,460 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

DocumentsLaTeXScientificacademic-writingagent-skillsai-agentscitation-verificationliterature-review
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