academic-pipeline

academic-pipeline is a skill for Claude Code from Masqiller/ARG-RESEARCHER-V4.1. It costs 106 tokens per session (7,771 once invoked), scanned A, a copy of academic-pipeline, MIT.

A workflow coordinator for academic research and paper writing. It moves a project through research, writing, integrity checks, peer review, revisions, and final checks.

In plain words
What is it for?
Use it to manage a complete academic paper project from early research to a final manuscript. It coordinates research, paper-writing, and review tools while tracking progress.
Why use it?
It helps prevent important research, citation, and data checks from being skipped. It also keeps each stage and required user approval in order.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the ARG-Researcher plugin — 4 skills, 11 commands, 34 agents, 1 hook shipped together

Good fit Use it to manage a complete academic paper project from early research to a final manuscript. It coordinates research, paper-writing, and review tools while tracking progress.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/masqiller/arg-researcher-v4.1/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 Masqiller/ARG-RESEARCHER-V4.1 --skill academic-pipeline
Clone the repo
git clone --depth 1 https://github.com/Masqiller/ARG-RESEARCHER-V4.1

Made for: Claude Code.

Or install ARG-Researcher, the plugin that ships this one along with the rest of its 4 skills, 11 commands, 34 agents, 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 academic-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/masqiller/arg-researcher-v4.1/academic-pipeline/github.svg)](https://agentmods.dev/skills/masqiller/arg-researcher-v4.1/academic-pipeline)
Your own site
<a href="https://agentmods.dev/skills/masqiller/arg-researcher-v4.1/academic-pipeline"><img src="https://agentmods.dev/badge/skills/masqiller/arg-researcher-v4.1/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/masqiller/arg-researcher-v4.1/academic-pipeline"><img src="https://agentmods.dev/badge/skills/masqiller/arg-researcher-v4.1/academic-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,771 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.
Origin 95% copy Near-identical to another mod 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 $0.00106 $0.07771
Opus 5 $0.00053 $0.03886
Sonnet 5 $0.00021 $0.01554
Haiku 4.5 $0.00011 $0.00777

Measured 12d ago against content hash 642fe939ad83, 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 12d 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.

Origin

This is a copy

95% identical to academic-pipeline — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

academic-pipeline/SKILL.md · 595 lines

How it starts

The opening of the file, as written. The whole thing — 595 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Academic Pipeline v3.7.0 — Full Academic Research Workflow Orchestrator

A lightweight orchestrator that manages the complete academic pipeline from research exploration to final manuscript. It does not perform substantive work — it only detects stages, recommends modes, dispatches skills, manages transitions, and tracks state.

v3.6.3 (opt-in): Set ARS_PASSPORT_RESET=1 to promote FULL checkpoints to context-reset boundaries. Use resume_from_passport=<hash> in a fresh session to continue from the recorded stage. See references/passport_as_reset_boundary.md.

v2.0 Core Improvements:

  1. Mandatory user confirmation checkpoints — Each stage completion requires user confirmation before proceeding to the next step
  2. Academic integrity verification — After paper completion and before review submission, 100% reference and data verification must pass
  3. Two-stage review — First full review + post-revision focused verification review
  4. Final integrity check — After revision completion, re-verify all citations and data are 100% correct
  5. Reproducible — Standardized workflow producing consistent quality assurance each time
  6. Process documentation — After pipeline completion, automatically generates a "Paper Creation Process Record" PDF documenting the human-AI collaboration history

Quick Start

Full workflow (from scratch):

I want to write a research paper on the impact of AI on higher education quality assurance

--> academic-pipeline launches, starting from Stage 1 (RESEARCH)

Mid-entry (existing paper):

I already have a paper, help me review it

--> academic-pipeline detects mid-entry, starting from Stage 2.5 (INTEGRITY)

Revision mode (received reviewer feedback):

I received reviewer comments, help me revise

--> academic-pipeline detects, starting from Stage 4 (REVISE)

Resume from passport (cross-session context reset, opt-in):

resume_from_passport=<hash> [stage=<n>] [mode=<m>]

--> Loads the Material Passport (Schema 9), locates the kind: boundary entry matching <hash>, and confirms it has no later kind: resume entry consuming it. If pending_decision is set, the decision prompt fires first to capture the user's branch choice for the audit ledger; the prompt is never skipped, even when the user supplies stage=. After the prompt (or immediately if no pending_decision), the next stage is determined by: (a) stage=<n> CLI override if provided, else (b) the matched option's next_stage, else (c) the next field recorded in the boundary entry. CLI stage=/mode= overrides win over option routing.

  • Gate (emit): ARS_PASSPORT_RESET=1 must be set in the emitting session. Without the flag, no kind: boundary entries are written and there is nothing to resume from.
  • Gate (resume): No flag required. Any session can invoke resume_from_passport=<hash> against a passport that carries a valid boundary entry matching the hash.
  • Intent: Invoke in a fresh Claude Code session. Resuming within the same session that emitted the boundary provides no token savings and may drop still-live in-session context.
  • Stage: Any. Resumes at whatever stage the routing rules above determine.
  • Reference: references/passport_as_reset_boundary.md — see §"resume_from_passport mode contract".

Read the full file on GitHub · 595 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. 12d ago First seen · 595 lines · 106 tokens per session scan A 642fe939ad83

Subscribe to this mod's changes

academic-pipeline is a skill published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 106 tokens to every session and 7,771 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to academic-pipeline, differing in 4 lines, and is treated as a copy.

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