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/academic-paper-reviewer

@a3f6569

Multi-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, revisar artículo, revisión entre pares, revisión de manuscrito, informe de árbitro, revisa mi artículo, criticar artículo, simular revisión, revisión editorial, calibrar revisor.

Use this Skill: https://skilld.dev/gh/imbad0202/academic-research-skills/academic-paper-reviewer

This session only. Nothing lands on disk.

referencesintegration_guide.md

≈170 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Pipeline Usage Example

User: I want to write a paper about AI in higher education quality assurance, from research to submission

Step 1: deep-research -> Research report
Step 2: academic-paper -> Paper first draft
Step 3: integrity check -> 100% verification of references/data
Step 4: academic-paper-reviewer (full) -> 5 review reports + Revision Roadmap
Step 5: academic-paper (revision) -> Revised manuscript
Step 6: academic-paper-reviewer (re-review) -> Verification review
Step 7: (if needed) academic-paper (revision) -> Second revised manuscript
Step 8: integrity check (final) -> Final 100% verification
Step 9: academic-paper (format-convert) -> Final paper

Source: SKILL.md on GitHub

1 warning6d5 checks · Risk SAFE
  • Gen Agent Trust Hub6d

    The skill is a multi-agent framework for academic paper review. It is well-architected with significant security defenses against prompt injection from the manuscripts it processes. The primary risk is the large attack surface provided by untrusted input data, though this is mitigated by explicit boundary instructions.

  • Socket6d

    No alerts

  • Snyk6d

    Risk: MEDIUM · 1 issue

  • Runlayer6mo

    18 files scanned · No issues

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at a3f6569. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 32 minutes ago.

Activeupdated last week
Other metadata
metadata
{
  "version": "1.11.1",
  "last_updated": "2026-08-15",
  "status": "active",
  "data_access_level": "raw",
  "task_type": "open-ended",
  "related_skills": [
    "academic-paper",
    "academic-pipeline"
  ]
}

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