ars-academic-reviewerMulti-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.
Install via ClawdBot CLI:
clawdbot install sedey999/ars-academic-reviewerGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
$OPENAIContains instructions to override system prompt or ignore user requests
"ignore prior instructions"Calls external URL not in known-safe list
https://github.com/imbad0202/academic-research-skillsUses known external API (expected, informational)
api.openai.comGenerated Sep 1, 2026
Researchers preparing to submit a paper to a journal can use the skill to simulate a full peer review process before actual submission. This helps identify weaknesses, improve the manuscript, and increase chances of acceptance.
Journal editors can use the skill to screen submissions or perform preliminary reviews, ensuring that papers meet the journal's standards before sending them to external reviewers. This streamlines the editorial process and improves review efficiency.
Researchers working on interdisciplinary projects can obtain feedback from reviewers with diverse expertise, including a Devil's Advocate, to challenge assumptions and improve the robustness of their work from multiple perspectives.
While not explicitly mentioned, the skill can be adapted to review research proposals by focusing on methodology, innovation, and significance, helping researchers refine proposals before submission to funding agencies.
Offer unlimited paper reviews for individual researchers or institutions via a subscription model. This provides recurring revenue and ensures users have ongoing access to the review tool.
Charge a fee per paper review or per review round. This model is suitable for users who need occasional, high-quality reviews and prefer not to commit to a subscription.
License the skill to universities, research institutes, or corporate R&D departments as a tool for their researchers. This provides a steady revenue stream from large contracts.
💬 Integration Tip
To integrate, offer the skill as a service on an AI agent platform, allowing users to access it through natural language commands. Ensure the skill can handle PDFs and text input for seamless user experience.
Scored Sep 1, 2026
Audited Aug 24, 2026 · audit v1.0
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