skilld
All skills
imbad0202 avatar

/academic-paper

@825afa9
by Edward Cheng-I Wuimbad0202/academic-research-skills50k stars
3,856

12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, I got reviewer comments, revision roadmap, should we push back, conference rebuttal, grant panel response, audit my rebuttal, check my response draft, AI disclosure, check citations, citation check, check my references, verify references, look over the refs, 寫論文, 學術論文, 引導我寫論文, 審查意見, 我收到審查意見, 修訂路線圖, 評估回覆, 檢查引用, 引用檢查, 檢查參考文獻, 核對文獻, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견을 받았어, 심사 의견 반영, 답변서 점검, AI 사용 고지, 인용 확인, 인용 형식 검사, enmendar mi artículo, redactar artículo, guía mi artículo, analizar reseñas, auditar mi respuesta, verificar borrador de respuesta, verificar citas, divulgación de IA.

Ask your Agent

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

This session only. Nothing lands on disk.

referencesworkflow_phase_details.md

≈1.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Orchestration Workflow — Phase Details

Detailed per-phase agent behavior and output descriptions for the 8-phase orchestration workflow.

Phase 0: CONFIG (Interactive)

Agent: intake_agent Output: Paper Configuration Record

  • Paper type (IMRaD / Lit Review / Theoretical / Case Study / Policy Brief / Conference)
  • Discipline and sub-field
  • Target journal (optional)
  • Citation format (APA 7 / Chicago / MLA / IEEE / Vancouver)
  • Output format (LaTeX / DOCX / PDF / Markdown / Combined)
  • Language (EN / zh-TW / bilingual sections)
  • Bilingual abstract (Yes / EN-only / zh-TW-only) — cardinality only; it does not select which languages
  • Output language pair (output_language_pair) — the two abstract languages, from the registry in shared/output_language_pair.md; default zh-tw-en, per-run override; the PCR row is omitted when the run declares none
  • Word count target
  • Existing materials (RQ, data, drafts, lit)

Checkpoint: User confirms configuration.

Phase 1: RESEARCH

Agent: literature_strategist_agent Output: Search Strategy + Source Corpus

  • Database selection + search strings
  • Inclusion/exclusion criteria
  • Source screening + annotated bibliography
  • Literature matrix (Source x Theme)
  • Research gap mapping

Checkpoint: User reviews sources (optional add/remove).

Phase 2: ARCHITECTURE

Agent: structure_architect_agent Output: Paper Outline + Evidence Map

  • Structure pattern selection (from paper_structure_patterns.md)
  • Section-by-section outline with word count allocation
  • Evidence-to-section assignment
  • Transition logic between sections

Checkpoint: User approves outline.

Phase 3: ARGUMENTATION

Agent: argument_builder_agent Output: Argument Blueprint

  • Central thesis + sub-arguments
  • Claim-Evidence-Reasoning chains per section
  • Counter-argument identification + rebuttal strategy
  • Logical flow diagram

Phase 4: DRAFTING

Agent: draft_writer_agent Output: Complete Draft

  • Section-by-section writing following outline
  • Register adjustment for discipline
  • In-text citations integrated
  • Word count tracking per section
  • Transition paragraphs between sections
  • Acronym check on the saved draft (#849; writing_quality_check.md § F)

Phase 5a & 5b: CITATIONS + ABSTRACT (Parallel)

Phase 5a: Citations

Agent: citation_compliance_agent Output: Citation Audit Report

  • In-text <-> reference list cross-check (zero orphans)
  • Format compliance (per selected style)
  • DOI/URL verification
  • Self-citation ratio check
  • Auto-correction of detected errors

Phase 5b: Abstract

Agent: abstract_bilingual_agent Output: Bilingual Abstract + Keywords (both languages of the run's declared output language pair)

  • L2 abstract (default: English), structured — length from the regime table (abstract_writing_guide.md, run's paper type)
  • L1 abstract (default: Traditional Chinese), structured — length from the same regime table
  • L2 keywords, count from the same regime table
  • L1 keywords, same declared count
  • Headings and report columns are pair-derived; for the default pair zh-tw-en they render exactly as ### English Abstract / ### Chinese Abstract
  • Independent writing (not mechanical translation)
  • Field absent → default pair; the heading literals are unchanged from the pre-#862 surface (no rendered-output equivalence is claimed)
  • Acronym check on the saved abstracts (#849; writing_quality_check.md § F)

Phase 6: PEER REVIEW

Agent: peer_reviewer_agent Output: Review Report + Revision Instructions

  • 5-dimension criterion-bound judgement: Originality | Methodological Rigor | Evidence Sufficiency | Argument Coherence | Writing Quality
  • Every live Phase 6 report and downstream review package emits calibration_status: NOT_CALIBRATED unconditionally in the current release. Candidate empirical target profiles declare application_status: NOT_WIRED_TO_LIVE_REVIEW; attaching one or observing an apparent metadata match cannot upgrade the live status. No weighted total or fixed verdict mapping is available.
  • Verdict: Accept / Minor Revision / Major Revision / Reject
  • Line-level feedback with suggested fixes
  • Max 2 revision loops -> back to Phase 4 [draft_writer_agent] (limited to 1 round in academic-pipeline)

Phase 7: FORMAT

Agent: formatter_agent Output: Final Output Package

  • Target format conversion (LaTeX + .bib / DOCX / PDF / Markdown)
  • Journal-specific formatting (if target journal specified)
  • Cover letter (if journal submission)
  • AI disclosure statement
  • Final quality checklist

Source: SKILL.md on GitHub

Third-party checks

1 alert1d5 checks · Risk SAFE
  • Gen Agent Trust Hub1d

    This skill provides a highly structured 12-agent academic paper writing pipeline. It contains robust internal defenses, including explicit 'instruction-data' boundaries and sanitization of user-provided content. However, the skill's complexity, its reliance on shell command execution for document processing and utility scripts, and its heavy ingestion of untrusted third-party materials (such as reviewer comments and external research content) present a surface for potential misuse and indirect prompt injection.

  • Socket1d

    No alerts

  • Snyk1d

    Risk: LOW · No issues

  • Runlayer6mo

    7/44 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Provenance

Signed by skilld at 825afa9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Activeupdated last week

Capability

Other metadata
metadata
{
  "version": "3.3.1",
  "last_updated": "2026-08-15",
  "status": "active",
  "data_access_level": "raw",
  "task_type": "open-ended",
  "related_skills": [
    "deep-research",
    "academic-paper-reviewer",
    "academic-pipeline"
  ]
}

README badge

README badge for imbad0202/academic-research-skills/academic-paper