Is Academic Pipeline safe and trustworthy?

tashan scores Academic Pipeline on public evidence — tashan score 53.0/100, it is currently active. Audit scope: OSV advisories, install-time scripts, build provenance and declared permission surface. We do not review source code or execute the capability.

How do I install Academic Pipeline?

Drop the skill folder into ~/.claude/skills/ (user scope) or .claude/skills/ (project scope).

Who maintains Academic Pipeline?

17 GitHub contributors, source: Imbad0202/academic-research-skills.

‹ The Index

Academic Pipeline

skill

Orchestrator for the full academic research pipeline: research - write - integrity check - review - revise - re-review - re-revise - final integrity check - finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded integrity checks, two-stage peer review, and auditable quality-assurance artifacts. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow, 연구부터 논문까지, 연구 주제 설정부터 논문 완성까지, 논문 전체 워크플로.

Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Category: Search — see all ranked ›

Install (Claude Code):

cp -r academic-pipeline ~/.claude/skills/

tashan score: 53.0
Adoption: 3 repos
Upkeep: 98.0
Freshness: 96.0
Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
Health: active
Contributors: 17
License: NOASSERTION

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md shows worked examples, covers setup and states a limitation.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

You searched for one. Check the rest of your stack:

npx tashan-cli doctor

Reads the config already on your machine and names what is dead, deprecated or running code at install time. No account, nothing uploaded.

tashan Pro$6/mo

Academic Pipeline scores 53 today. Pro keeps the series, so you can see whether that is a project getting better or one on its way down.

Every score since we started measuring, for any capability
The named replacement when something you run is dying — not just that it is
tashan doctor over the config you already have, on your machine

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[![tashan](https://tashan.sh/badge/skill-imbad0202-academic-pipeline.svg)](https://tashan.sh/capability/skill-imbad0202-academic-pipeline.html)

source ↗ · skill:Imbad0202/academic-pipeline

Everything on this page is public evidence and free. What it cannot know is whether you run this — check your whole config, free, in the browser. tashan Pro adds the series behind each row and names a replacement for anything dying.

Already running this? Check your whole config — free, in your browser, nothing installed. Or npx tashan-cli doctor locally, which sends nothing at all.

Measured 2026-09-12 · scorer s5 · how · something wrong here?