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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.

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

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examplesclinical_citation_verification_checklist.md

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Clinical Citation Verification Checklist

This example shows how to apply citation verification discipline to a health or clinical research draft. It is intentionally a checklist and example, not a new agent behavior contract.

Use this when a draft cites clinical outcomes, diagnostic accuracy, treatment effects, safety claims, screening performance, or health-policy conclusions.


Scenario

A draft contains the following claim:

AI-assisted retinal image screening achieved 99% sensitivity and 98% specificity for diabetic retinopathy detection and should be deployed broadly in primary care.

The claim cites one paper, but the draft does not include a DOI, PubMed ID, trial registry ID, page number, table number, or quoted source passage.


Verification Checklist

Check Required evidence Pass condition Fail condition
Reference existence DOI, PMID, arXiv ID, trial registry ID, or resolvable title-author-year lookup The cited work resolves in an external index or publisher page Citation cannot be resolved or metadata conflicts
Claim anchor Page, section, table, figure, or short quoted passage The cited source contains the specific number or statement Source exists but does not contain the claimed evidence
Population match Study population and setting Draft claim matches the source population and setting Draft generalizes from a narrow or different population
Outcome match Sensitivity, specificity, effect size, endpoint, or qualitative finding Draft uses the same endpoint and metric definition Draft swaps endpoint, timeframe, comparator, or metric
Strength of conclusion Source conclusion and limitations Draft preserves uncertainty and limitations Draft turns "may", "in this dataset", or "needs validation" into broad deployment advice
Clinical boundary Human review and intended use Draft frames output as research, evidence synthesis, or tool evaluation Draft becomes patient-specific diagnosis, treatment, triage, or deployment instruction

Example Audit Result

Field Result
Claim AI-assisted retinal image screening achieved 99% sensitivity and 98% specificity and should be deployed broadly in primary care.
Citation status existence_unverified
Anchor status anchor_missing
Support status unsupported_until_verified
Clinical safety status overclaim_risk
Required next step Resolve the citation externally, then locate the exact source passage or table supporting both metrics.

Safer Rewrite Pattern

If the citation cannot yet be verified:

Evidence status: unverified. The draft claims diagnostic performance for AI-assisted diabetic retinopathy screening, but the cited source has not been resolved and no source-text anchor is available. Do not report the sensitivity, specificity, or deployment recommendation until the reference is externally resolved and the exact supporting passage is located.

If the citation exists but only supports a narrow setting:

In the cited validation dataset, the AI-assisted retinal image system reported [metric] for [population/setting]. This does not by itself establish broad primary-care deployment readiness; additional external validation, workflow evaluation, and qualified clinical review are required.


Output Template

## Clinical Citation Verification

### Claim Under Review
- Claim:
- Citation key:
- Paper section:

### Deterministic Lookup
- DOI / PMID / registry ID:
- External lookup result:
- Metadata match:

### Source Anchor
- Page / section / table / figure:
- Supporting passage:
- Anchor status:

### Claim-to-Source Match
- Population:
- Outcome:
- Metric:
- Limitation preserved:

### Verdict
- VERIFIED / MINOR_DISTORTION / MAJOR_DISTORTION / UNVERIFIABLE / UNVERIFIABLE_ACCESS:
- Rationale:

### Clinical Safety Note
- This is research, evidence synthesis, or documentation support only. It is not patient-specific diagnosis, treatment, triage, or clinical decision support.

Relation to Citation Verification Work

This example is related to the deterministic citation verification gate proposed in issue #182. It demonstrates the manual clinical checklist that such a gate should preserve: reference existence is necessary, but not sufficient. The cited source must also anchor the exact clinical claim, population, metric, and conclusion strength.

Source: SKILL.md on GitHub

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    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.

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Signed by skilld at c5c1b45. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 33 minutes ago.

Activeupdated 2 days ago
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"
  ]
}

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