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E2ER

External pipelines · RISE project catalogue

Academic Research Skills (ARS)

A comprehensive Claude Code plugin suite (v3.9.0 at scoring date) for the academic research pipeline: literature → write → review → revise → finalize. Three sub-suites — Deep Research (13 agents), Academic Paper (12 agents), Academic Paper Reviewer (7 agents) — with Style Calibration, anti-leakage protocols, Semantic Scholar API verification, VLM figure verification, and explicit human-in- the-loop gates throughout.

Indexed in RISE · activeConformance with the standard plannedProject site

What it does

Most-adopted Claude Code-native research plugin (9k+ stars) with an explicit "AI as copilot, not pilot" design stance. v3.8 introduces a *claim-faithfulness audit pass* (`ARS_CLAIM_AUDIT=1`) that fetches each cited source against three-layer citation anchors and gate-blocks output on five hallucination classes (claim-not-supported, negative-constraint-violation, fabricated-reference, anchorless, constraint-violation-uncited). This is the most operationally serious anti-hallucination apparatus in the catalog.

Focus
end-to-end
Inputs
research-topic, paper-draft, reviewer-comments
Outputs
paper-pdf, paper-docx, literature-review, reviewer-report, revision-plan
Architecture
multi-agent, debate-consensus, human-in-loop, tool-use, rag-knowledge-base, artifact-versioning
Maintained by
Edward Cheng-I Wu
Started
2026

Description

Data model
Discipline
General
Method family
not specified
Design
not specified
Research stage
Literature discoveryLiterature synthesisDraftingRevision and editingReview
Contributors
Edward Cheng-I Wu
Usage
not used in published research yet
Source
RISE project catalogue · projects/landscape · @4c17bae
Record
pipeline:academic-research-skills · JSON

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Bring it into the standard

A pipeline built outside E2ER can meet the standard by describing its steps as a template, attaching the floor of checks and publishing evaluation records. Its authors keep ownership and credit.