academic-paper

academic-paper is a skill for Claude Code from Imbad0202/academic-research-skills. It costs 184 tokens per session (11,313 once invoked), scanned A, original, no licence file.

A Claude Code skill that guides academic paper work through 12 specialized agents and several modes, including planning, literature reviews, revisions, citation checks, and rebuttal audits.

In plain words
What is it for?
Use it to plan or revise papers, write abstracts and literature reviews, check citations, prepare rebuttals, and convert output to formats such as LaTeX, DOCX, or PDF.
Why use it?
It gives common paper-writing tasks a defined workflow instead of leaving every stage to ad-hoc editing.

Skill for Claude Code

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

Part of the academic-research-skills plugin — 4 skills, 16 commands, 38 agents, 2 hooks shipped together

Good fit Use it to plan or revise papers, write abstracts and literature reviews, check citations, prepare rebuttals, and convert output to formats such as LaTeX, DOCX, or PDF.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/imbad0202/academic-research-skills/academic-paper
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 Imbad0202/academic-research-skills --skill academic-paper
Clone the repo
git clone --depth 1 https://github.com/Imbad0202/academic-research-skills

Made for: Claude Code.

Or install academic-research-skills, the plugin that ships this one along with the rest of its 4 skills, 16 commands, 38 agents, 2 hooks.

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 academic-paper

README.md
[![agentmods](https://agentmods.dev/badge/skills/imbad0202/academic-research-skills/academic-paper/github.svg)](https://agentmods.dev/skills/imbad0202/academic-research-skills/academic-paper)
Your own site
<a href="https://agentmods.dev/skills/imbad0202/academic-research-skills/academic-paper"><img src="https://agentmods.dev/badge/skills/imbad0202/academic-research-skills/academic-paper/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 academic-paper

Your own site · 80×15
<a href="https://agentmods.dev/skills/imbad0202/academic-research-skills/academic-paper"><img src="https://agentmods.dev/badge/skills/imbad0202/academic-research-skills/academic-paper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,313 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
  • Socket pass 20 May 2026
  • Snyk warn 20 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin unknown 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 $0.00184 $0.11313
Opus 5 $0.00092 $0.05657
Sonnet 5 $0.00037 $0.02263
Haiku 4.5 $0.00018 $0.01131

Measured 5d ago against content hash ec4a10ef0a1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

academic-paper 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.

academic-paper/SKILL.md · 543 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 5d ago Changed ec4a10ef0a1f
  2. 13d ago First seen · 543 lines · 184 tokens per session scan A 1b92fdab5294

Subscribe to this mod's changes

academic-paper is a skill published in the GitHub repository Imbad0202/academic-research-skills (47,673 stars, last pushed yesterday), with no licence file. It adds 184 tokens to every session and 11,313 once invoked, about $0.0009 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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