academic-pipeline

academic-pipeline is a skill for Claude Code from Imbad0202/academic-research-skills. It costs 137 tokens per session (12,074 once invoked), scanned A, original, no licence file.

A skill that coordinates a ten-stage academic research process, from research and writing through checks, reviews, revisions, and finalization. It connects the deep-research, academic-paper, and academic-paper-reviewer skills.

In plain words
What is it for?
Use it to run a complete academic paper workflow with research, drafting, integrity checks, review, revision, and finalization.
Why use it?
It provides one workflow for moving a paper through repeated checking and revision instead of managing each stage separately.

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 run a complete academic paper workflow with research, drafting, integrity checks, review, revision, and finalization.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/imbad0202/academic-research-skills/academic-pipeline
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-pipeline
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-pipeline

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/imbad0202/academic-research-skills/academic-pipeline"><img src="https://agentmods.dev/badge/skills/imbad0202/academic-research-skills/academic-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 137 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,074 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 22 May 2026
  • Snyk warn 22 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 $0.00137 $0.12074
Opus 5 $0.00068 $0.06037
Sonnet 5 $0.00027 $0.02415
Haiku 4.5 $0.00014 $0.01207

Measured 5d ago against content hash dcb91d5b73ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

academic-pipeline 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-pipeline/SKILL.md · 737 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

29 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 dcb91d5b73ea
  2. 13d ago First seen · 737 lines · 137 tokens per session scan A 5b9b92ad1df7

Subscribe to this mod's changes

academic-pipeline is a skill published in the GitHub repository Imbad0202/academic-research-skills (47,673 stars, last pushed yesterday), with no licence file. It adds 137 tokens to every session and 12,074 once invoked, about $0.0007 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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