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Deep Research

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A comprehensive agent team for rigorous academic research.

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What Deep Research does

Deep Research is a universal academic research tool designed to assist users in conducting thorough investigations across various topics. This skill utilizes a 13-agent pipeline that guides users through the entire research process, from formulating precise research questions to compiling comprehensive reports. Each agent specializes in a specific phase of research, ensuring that every aspect of the inquiry is handled with rigor and precision. Whether you need to conduct a systematic literature review, verify sources, or synthesize findings, this skill provides the necessary tools and guidance.

The skill operates through various modes tailored to different research needs. For instance, the Socratic mode is particularly useful for users who are uncertain about their research direction, allowing them to explore ideas and clarify their focus. Alternatively, the full research mode offers a complete pipeline for users with clear research questions, enabling them to receive detailed analyses and reports. The flexibility in modes ensures that both novice and experienced researchers can effectively utilize the skill to meet their specific requirements.

In addition to its core functionalities, Deep Research also incorporates features like a writing quality check and the application of style profiles to enhance the quality of the final report. This ensures that the output meets academic standards and is suitable for publication. The skill is particularly beneficial for researchers, academics, and students who require a structured approach to their research projects, making it an essential tool for anyone involved in academic inquiry.

When to use it

Use Deep Research when you need to conduct thorough academic inquiries, whether formulating questions, reviewing literature, or compiling reports.

When not to use it

This skill may not be suitable for casual research or when a simple search or quick fact-check is sufficient.

What you can build with it

Guided Research Exploration

A user uncertain about their research direction activates Socratic mode to clarify their interests and formulate a precise research question.

Systematic Literature Review

A researcher needs to compile a comprehensive literature review and utilizes the full research mode to gather, verify, and synthesize relevant sources.

Fact-Checking Claims

A user requires verification of specific claims made in a paper and employs the fact-checking agent to assess the credibility of the sources.

How to install Deep Research

View source

1. Install with the skills CLI

npx skills add imbad0202/academic-research-skills/deep-research --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by imbad0202

Deep Research — Universal Academic Research Agent Team

Universal deep research tool — a domain-agnostic 13-agent team for rigorous academic research on any topic.

v2.4 adds writing quality improvements to the report compiler:

  • Style Profile consumption (optional) — If a Style Profile is available from academic-paper intake, the report compiler applies it as a soft guide for the Executive Summary and Synthesis sections. Discipline conventions and report objectivity take priority.
  • Writing Quality Check — The report compiler runs a writing quality checklist before finalizing: flags AI-typical overused terms, checks sentence/paragraph length variation, removes throat-clearing openers. See academic-paper/references/writing_quality_check.md.

Routing discipline (v3.9.2): see .claude/CLAUDE.md "Routing Discipline (v3.9.2)" + shared/references/intent_clarification_protocol.md for cross-skill routing rules. This skill assumes routing has already settled — ambiguous cross-phase materials should have been clarified upstream.

Quick Start

Minimal command:

Research the impact of AI on higher education quality assurance

Socratic mode:

Guide my research on the impact of declining birth rates on private universities
引導我的研究:少子化對私立大學的影響
幫我釐清我的研究方向,我對高教品保有興趣但還不太確定

Execution:

  1. Scoping — Research question + methodology blueprint
  2. Investigation — Systematic literature search + source verification
  3. Analysis — Cross-source synthesis + bias check
  4. Composition — Full APA 7.0 report
  5. Review — Editorial + ethics + vulnerability scan
  6. Revision — Final polished report

Trigger Conditions

Trigger Keywords

English: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, methodology, APA report, academic analysis, policy analysis, WHY HOW WHAT papers, 3W literature scan, guide my research, help me think through, monitor this topic, set up alerts

繁體中文: 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 證據綜整, 事實查核, 三段式文獻掃描, WHY HOW WHAT 論文比較, 研究方法, 學術分析, 政策分析, 引導我的研究, 幫我釐清, 監測這個主題, 設定追蹤

한국어: 심층 연구, 문헌 조사, 문헌 고찰, 체계적 문헌고찰, 메타분석, 근거 종합, 사실 확인, 팩트체크, 연구 방법 설계, 학술 분석, 연구 방향을 잡아줘, 연구 주제 정하는 것을 도와줘, 무엇을 연구할지 모르겠어, 이 주제 계속 모니터링해줘

Socratic Mode Activation

Activate socratic mode when the user's intent matches any of the following patterns, regardless of language. Detect meaning, not exact keywords.

Intent signals (any one is sufficient):

  1. User has no clear research question and wants guided thinking
  2. User asks to be "led", "guided", or "mentored" through research
  3. User expresses uncertainty about what to research or where to start
  4. User wants to brainstorm, explore, or clarify a research direction
  5. User describes a vague interest without a specific, answerable question

Default rule: When intent is ambiguous between socratic and full, prefer socratic — it is safer to guide first than to produce an unwanted report. The user can always switch to full later.

Example triggers (illustrative, not exhaustive): "guide my research", "help me think through", 「引導我的研究」「幫我釐清」, or equivalent in any language

Does NOT Trigger

ScenarioUse Instead
Writing a paper (not researching)academic-paper
Reviewing a paper (structured review)academic-paper-reviewer
Full research-to-paper pipelineacademic-pipeline

Quick Mode Selection Guide

Your Situation 你的狀況Recommended ModeSpectrum
Vague idea, need guidance / 有模糊想法,需要引導socraticoriginality
Clear RQ, need comprehensive research / 有明確 RQ,需要完整研究fullbalanced
Need a quick brief (30 min) / 需要快速摘要quickfidelity
Have a paper to evaluate before citing / 有論文需要評估reviewbalanced
Need literature review for a topic / 需要文獻回顧lit-reviewfidelity
Need a fast paper-comparison scan / 需要快速比較多篇論文three-way-scanfidelity
Need to verify specific claims / 需要查核特定事實fact-checkfidelity
Need systematic review / meta-analysis / 系統性回顧或後設分析systematic-reviewfidelity

Spectrum (v3.2): fidelity = template-heavy, predictable output; balanced = default; originality = exploratory, template-light. See shared/mode_spectrum.md for the full cross-skill spectrum table.

Not sure? Start with socratic — it will help you figure out what you need. 不確定?先用 socratic 模式——它會幫你釐清你需要什麼。


Agent Team (13 Agents)

#AgentRolePhase
1research_question_agentTransforms vague topics into precise, FINER-scored research questions with scope boundariesPhase 1, Socratic Layer 1
2research_architect_agentDesigns methodology blueprint: paradigm, method, data strategy, analytical framework, validity criteriaPhase 1
3bibliography_agentSystematic literature search, source screening, annotated bibliography in APA 7.0Phase 2
4source_verification_agentFact-checking, source grading (evidence hierarchy), predatory journal detection, conflict-of-interest flaggingPhase 2
5synthesis_agentCross-source integration, contradiction resolution, thematic synthesis, gap analysisPhase 3
6report_compiler_agentDrafts complete APA 7.0 report (Title -> Abstract -> Intro -> Method -> Findings -> Discussion -> References)Phase 4, 6
7editor_in_chief_agentQ1 journal editorial review: originality, rigor, evidence sufficiency, verdict (Accept/Revise/Reject)Phase 5
8devils_advocate_agentChallenges assumptions, tests for logical fallacies, finds alternative explanations, confirmation bias checksPhase 1, 3, 5, Socratic Layer 2, 4
9ethics_review_agentAI-assisted research ethics, attribution integrity, dual-use screening, fair representationPhase 5
10socratic_mentor_agentQ1 journal editor persona; guides research thinking through Socratic questioning across 5 layersSocratic Mode (Layer 1-5)
11risk_of_bias_agentAssesses risk of bias using RoB 2 (RCTs) and ROBINS-I (non-randomized); traffic-light visualizationSystematic Review (Phase 2)
12meta_analysis_agentDesigns and executes meta-analysis or narrative synthesis; effect sizes, heterogeneity, GRADESystematic Review (Phase 3)
13monitoring_agentPost-research literature monitoring: digests, retraction alerts, contradictory findings detectionOptional (post-pipeline)

Mode Selection Guide

See references/mode_selection_guide.md for the detailed guide.

User Input
    |
    +-- Already have a clear research question?
    |   +-- Yes --> Need PRISMA-compliant systematic review / meta-analysis?
    |   |           +-- Yes --> systematic-review mode
    |   |           +-- No --> Need a full report?
    |   |                      +-- Yes --> full mode
    |   |                      +-- No --> Only need literature?
    |   |                                 +-- Yes --> Need rapid paper comparison?
    |   |                                            +-- Yes --> three-way-scan mode
    |   |                                            +-- No --> lit-review mode
    |   |                                 +-- No --> quick mode
    |   +-- No --> Want to be guided through thinking?
    |              +-- Yes --> socratic mode
    |              +-- No --> full mode (Phase 1 will be interactive)
    |
    +-- Already have text to review? --> review mode
    +-- Only need fact-checking? --> fact-check mode

Orchestration Workflow (6 Phases)

User: "Research [topic]"
     |
=== Phase 1: SCOPING (Interactive) ===
     |
     |-> [research_question_agent] -> RQ Brief
     |   - FINER criteria scoring (Feasible, Interesting, Novel, Ethical, Relevant)
     |   - Scope boundaries (in-scope / out-of-scope)
     |   - 2-3 sub-questions
     |
     |-> [research_architect_agent] -> Methodology Blueprint
     |   - Research paradigm (positivist / interpretivist / pragmatist)
     |   - Method selection (qualitative / quantitative / mixed)
     |   - Data strategy (primary / secondary / both)
     |   - Analytical framework
     |   - Validity & reliability criteria
     |
     +-> [devils_advocate_agent] -- CHECKPOINT 1
         - RQ clarity and answerable?
         - Method appropriate for question?
         - Scope too broad or too narrow?
         - Verdict: PASS / REVISE (with specific feedback)
     |
     ** User confirmation before Phase 2 **
     |
=== Phase 2: INVESTIGATION ===
     |
     |-> [bibliography_agent] -> Source Corpus + Annotated Bibliography
     |   - Systematic search strategy (databases, keywords, Boolean)
     |   - Inclusion/exclusion criteria
     |   - PRISMA-style flow (if applicable)
     |   - Annotated bibliography (APA 7.0)
     |
     +-> [source_verification_agent] -> Verified & Graded Sources
         - Evidence hierarchy grading (Level I-VII)
         - Predatory journal screening
         - Conflict-of-interest flagging
         - Currency assessment (publication date relevance)
         - Source quality matrix
     |
=== Phase 3: ANALYSIS ===
     |
     |-> [synthesis_agent] -> Synthesis Narrative + Gap Analysis
     |   - Thematic synthesis across sources
     |   - Contradiction identification & resolution
     |   - Evidence convergence/divergence mapping
     |   - Knowledge gap analysis
     |   - Theoretical framework integration
     |
     +-> [devils_advocate_agent] -- CHECKPOINT 2
         - Cherry-picking check
         - Confirmation bias detection
         - Logic chain validation
         - Alternative explanations explored?
         - Verdict: PASS / REVISE
     |
=== Phase 4: COMPOSITION ===
     |
     +-> [report_compiler_agent] -> Full APA 7.0 Draft
         - Title Page
         - Abstract (150-250 words)
         - Introduction (context, problem, purpose, RQ)
         - Literature Review / Theoretical Framework
         - Methodology
         - Findings / Results
         - Discussion (interpretation, implications, limitations)
         - Conclusion & Recommendations
         - References (APA 7.0)
         - Appendices (if applicable)
     |
=== Phase 5: REVIEW (Parallel) ===
     |
     |-> [editor_in_chief_agent] -> Editorial Verdict + Line Feedback
     |   - Originality assessment
     |   - Methodological rigor
     |   - Evidence sufficiency
     |   - Argument coherence
     |   - Writing quality (clarity, conciseness, flow)
     |   - Verdict: ACCEPT / MINOR REVISION / MAJOR REVISION / REJECT
     |
     |-> [ethics_review_agent] -> Research-Integrity Review + Human-Subjects Administrative Status
     |   - AI disclosure compliance
     |   - Attribution integrity
     |   - Dual-use screening
     |   - Fair representation check
     |   - Integrity verdict only: CLEARED / CONDITIONAL / BLOCKED
     |   - Human subjects: readiness and authorization reported separately; institutional determination required
     |   - Authority-bound planning: exact requirement IDs + actor/consumer scope only after the #666 replay-validated resolved-context gate
     |   - Packet structure: consume only a replay-validated #667 manifest; deterministic status never becomes authorization or content adequacy
     |   - Content coverage: consume only a replay-validated #681 `LLM-ADVISORY`; preserve deterministic status and report efficacy as `UNMEASURED`
     |
     +-> [devils_advocate_agent] -- CHECKPOINT 3
         - Final vulnerability scan
         - Strongest counter-argument test
         - "So what?" significance check
         - Verdict: PASS / REVISE
     |
=== Phase 6: REVISION ===
     |
     +-> [report_compiler_agent] -> Final Report
         - Address editorial feedback
         - Resolve ethics conditions
         - Incorporate devil's advocate insights
         - Max 2 revision loops
         - Remaining issues -> "Acknowledged Limitations" section

Checkpoint Rules

  1. ⚠️ IRON RULE: Devil's Advocate has 3 mandatory checkpoints; Critical-severity issues block progression
  2. Revision loops capped at 2 iterations; remaining issues become "acknowledged limitations"
  3. ⚠️ IRON RULE: Ethics Review stops the user once to confirm a Critical integrity concern (fabrication / plagiarism / missing AI disclosure / source misrepresentation / concrete harm-enabling specifics). Overridable with recorded reasoning — it confirms, it does not veto. Subject matter alone never blocks; dual-use is advisory (Responsible Use Statement), not a block.
  4. User confirmation required after Phase 1 before proceeding

Phase-by-phase Invocation Contract (v3.9.2)

ARS pipeline runs in 6 phases. Two invocation modes:

Mode A — orchestrator-driven (default): pipeline_orchestrator_agent (in academic-pipeline skill) runs all phases end-to-end with state tracking via Material Passport.

Mode B — phase-by-phase (cross-session resume): User invokes one agent per phase across sessions for long-running projects. Common pattern via ARS_PASSPORT_RESET=1 + resume_from_passport=<hash> (see academic-pipeline/references/passport_as_reset_boundary.md).

In Mode B, single-phase agents (Bucket A per docs/design/2026-05-18-ars-v3.9.2-agent-phase-classification.md) stay strictly within their assigned phase for writes. Reads from upstream phases are allowed. Multi-phase agents (Bucket B: devils_advocate_agent, report_compiler_agent) do exactly the work specified by the caller's invocation for that phase — no extension to other phases in the same call.

Routing into Mode B requires explicit user signal — /ars-<mode> slash command or [direct-mode] prefix. Ambiguous cross-phase input defaults to clarification per .claude/CLAUDE.md Routing Discipline + shared/references/intent_clarification_protocol.md.

Enforcement (v3.9.2): Phase Boundary blocks on Bucket A agents + advisory verifier (scripts/check_pipeline_integrity.py) + a deterministic PreToolUse write-scope guard in hook-enabled runtimes (#134 rescope, PR #294). Multi-phase envelope remains forward-scope (#134 Slices 3-5).


Socratic Mode: Guided Research Dialogue

5-layer dialogue guiding users from vague ideas to concrete research questions. Core principle: ⚠️ IRON RULE: Never give direct answers.

Layers: Clarification -> Assumption Probing -> Evidence/Reasoning -> Viewpoint/Perspective -> Implication/Consequence

See references/socratic_mode_protocol.md for the full 5-layer dialogue flow, management rules, and auto-end conditions.

Opt-in Reading Probe (v3.5.1)

Setting ARS_SOCRATIC_READING_PROBE=1 enables a one-time honesty probe during goal-oriented Socratic sessions. When the user cites a specific paper, the Mentor asks them to paraphrase one passage. Decline is logged without penalty. Default OFF. See agents/socratic_mentor_agent.md §"Optional Reading Probe Layer".


Systematic Review Mode

PRISMA 2020-compliant systematic review with optional meta-analysis. Follows 5-phase protocol: Protocol Registration -> Systematic Search -> Screening & Selection -> Data Extraction & RoB -> Synthesis & Reporting.

v3.4.0 compliance: systematic-review mode triggers compliance_agent at Stage 2.5 (Methods items) and Stage 4.5 (remaining items + RAISE 8-role matrix). PRISMA-trAIce Mandatory failures block the pipeline. See shared/compliance_checkpoint_protocol.md.

See references/systematic_review_protocol.md for full PRISMA pipeline, checkpoint rules, and meta-analysis procedures.


Operational Modes

ModeAgents ActiveOutputWord Count
full (default)All 9 core (excluding socratic_mentor, RoB, meta-analysis)Full APA 7.0 report3,000-8,000
quickRQ + Biblio + Verification + ReportResearch brief500-1,500
reviewEditor + Devil's Advocate + EthicsReviewer report on provided textN/A
lit-reviewBiblio + Verification + SynthesisAnnotated bibliography + synthesis1,500-4,000
three-way-scanBiblio + Verification (retrieval + WHY/HOW/WHAT extract)Paper shortlist compared by WHY/HOW/WHAT + cross-paper synthesis800-2,000
fact-checkSource Verification onlyVerification report300-800
socraticSocratic Mentor + RQ + Devil's AdvocateResearch Plan Summary (INSIGHT collection)N/A (iterative)
systematic-reviewRQ + Architect + Biblio + Verification + RoB + Meta-Analysis + Synthesis + Report + Editor + Ethics + DAFull PRISMA 2020 report + forest plot data + GRADE table5,000-15,000

Three-Way Scan Mode (WHY / HOW / WHAT)

Use three-way-scan when the user needs a disciplined shortlist of papers compared in a stable frame, but does not yet need a full literature review report.

  • WHY: what problem or bottleneck the paper addresses and why it matters
  • HOW: what strategy, method, or technical route the paper uses
  • WHAT: what the paper found, built, or still leaves unresolved

This mode is intentionally lighter than lit-review. It prioritizes:

  1. candidate retrieval
  2. deduplication
  3. compact per-paper extraction
  4. cross-paper synthesis of shared WHY, divergent HOW, and remaining gaps

Recommended per-paper output:

## <paper title>
Source: <provider> | Year: <year> | Link: <url>

- WHY: ...
- HOW: ...
- WHAT: ...

Then add:

  • common WHY
  • divergent HOW
  • strongest WHAT
  • unresolved global gap

If the user later wants a broader evidence matrix, thematic synthesis, or PRISMA-like coverage, escalate from three-way-scan to lit-review or systematic-review.


Failure Paths

See references/failure_paths.md for all failure scenarios, trigger conditions, and recovery strategies across all modes.

Key failure path summary:

Failure ScenarioTrigger ConditionRecovery Strategy
RQ cannot convergePhase 1 / Layer 1 exceeds multiple rounds while still vagueProvide 3 candidate RQs or suggest lit-review
Insufficient literaturebibliography_agent finds < 5 sourcesExpand search strategy, alternative keywords
Methodology mismatchRQ type misaligned with method capabilityReturn to Phase 1, suggest 3 alternative methods
Devil's Advocate CRITICALFatal logical flaw discoveredSTOP, explain the issue, require correction
Ethics BLOCKEDCritical integrity issue (not subject matter)Stop the user once to confirm; list issues + remediation path; overridable with recorded reasoning
Socratic non-convergence> 10 rounds without convergenceSuggest switching to full mode
User abandons mid-processExplicitly states they don't want to continueSave progress, provide re-entry path
Only Chinese-language literatureEnglish search returns emptySwitch to Chinese academic databases

Literature Monitoring (Optional Post-Pipeline)

Optional post-research monitoring for new publications in the research area.

See references/literature_monitoring_strategies.md for setup instructions across academic databases.


Handoff Protocol: deep-research → academic-paper

After research is complete, the following materials can be handed off to academic-paper:

  1. Research Question Brief (from research_question_agent)
  2. Methodology Blueprint (from research_architect_agent)
  3. Annotated Bibliography (from bibliography_agent)
  4. Synthesis Report (from synthesis_agent)
  5. [If socratic mode] INSIGHT Collection and Research Plan Summary
  6. Preregistration handoff — exactly one builder-produced preregistration-artifact/1.0 sidecar (including an unavailable receipt) and, when status=provided, its explicitly named companion bytes

Trigger: User says "now help me write a paper" or "write a paper based on this"

academic-paper's intake_agent will automatically detect available materials and skip redundant steps:

  • Has RQ Brief -> skip topic scoping
  • Has Bibliography -> skip literature search
  • Has Synthesis -> accelerate findings / discussion writing
  • Has preregistration sidecar -> strict-validate it and its named companion, then carry both byte-for-byte; never rebuild it from prose or a template

The non-shell research_architect_agent supplies only the explicit caller declaration and companion handle. Before handoff, a shell-capable dispatcher must run the named deterministic build-preregistration-artifact subcommand in scripts/build_cross_document_consistency_advisory.py, with caller-held RFC3339 declared_at. Only that builder may create or update the sidecar. A later explicit user supply creates a new builder-produced sidecar; omission or silent substitution is invalid.

See examples/handoff_to_paper.md for a detailed handoff example.


Full Academic Pipeline

See academic-pipeline/SKILL.md for the complete workflow.


Agent File References

AgentDefinition File
research_question_agentagents/research_question_agent.md
research_architect_agentagents/research_architect_agent.md
bibliography_agentagents/bibliography_agent.md
source_verification_agentagents/source_verification_agent.md
synthesis_agentagents/synthesis_agent.md
report_compiler_agentagents/report_compiler_agent.md
editor_in_chief_agentagents/editor_in_chief_agent.md
devils_advocate_agentagents/devils_advocate_agent.md
ethics_review_agentagents/ethics_review_agent.md
socratic_mentor_agentagents/socratic_mentor_agent.md
risk_of_bias_agentagents/risk_of_bias_agent.md
meta_analysis_agentagents/meta_analysis_agent.md
monitoring_agentagents/monitoring_agent.md

Reference Files

ReferencePurposeUsed By
references/apa7_style_guide.mdAPA 7th edition quick referencereport_compiler, editor_in_chief
references/source_quality_hierarchy.mdEvidence pyramid + grading rubricsource_verification, bibliography
references/methodology_patterns.mdResearch design templatesresearch_architect
references/logical_fallacies.md30+ fallacies catalogdevils_advocate
references/ethics_checklist.mdAI disclosure, attribution, dual-useethics_review
references/interdisciplinary_bridges.mdCross-discipline connection patternssynthesis, research_architect
references/socratic_questioning_framework.md6 types of Socratic questions + 30+ prompt patternssocratic_mentor
references/failure_paths.md12 failure scenarios with triggers and recovery pathsall agents
references/mode_selection_guide.mdMode selection flowchart and comparison tableorchestrator
references/irb_decision_tree.mdPortable human-subjects navigation aid; not an authority, universal taxonomy, or pathway determinationethics_review, research_architect
shared/references/human_subjects_authority_protocol.mdExact authority selection, replay validation, actor/consumer filtering, and fail-closed resolved-context gateethics_review, research_architect
shared/human_subjects_authority_registry.jsonBounded jurisdiction profiles with exact requirement IDs, authority anchors, obligated actors, and consumer scopesethics_review, research_architect
shared/contracts/human_subjects/resolved_authority_context.schema.jsonPointer-only resolved-context shape; consumers still require deterministic replay validationethics_review, research_architect
shared/references/submission_packet_manifest_protocol.mdDeterministic packet inventory, authority replay, status, and non-authorization boundary (#667)ethics_review, research_architect
shared/contracts/human_subjects/submission_packet_manifest.schema.jsonPointer-only deterministic packet-manifest shape; consumers still require exact replay validationethics_review, research_architect
shared/references/authority_content_coverage_advisory_protocol.mdReplay-bound authority-profile content observations, evidence-row/1.1 provenance, and noninterference boundary (#681)ethics_review, research_architect
shared/contracts/human_subjects/content_coverage_advisory.schema.jsonClosed LLM-ADVISORY carrier; consumers still require finalizer replay validationethics_review, research_architect
shared/contracts/evidence/evidence_row_v1_1.schema.jsonRequirement/expectation/artifact-bound bounded excerpt rows for the #681 advisory surfaceethics_review
references/equator_reporting_guidelines.mdEQUATOR reporting guideline mappingresearch_architect, report_compiler
references/preregistration_guide.mdPreregistration decision tree + platforms + checklistresearch_architect
shared/references/cross_document_consistency_advisory_protocol.mdExact preregistration sidecar ownership/replay plus #672 advisory and #660 coexistence boundariesresearch_architect, academic-paper intake, pipeline orchestrator
shared/contracts/passport/preregistration_artifact.schema.jsonClosed persistent preregistration handoff receipt; companion bytes remain separately nameddispatching layer, intake, pipeline orchestrator
references/systematic_review_toolkit.mdCochrane v6.4, PRISMA 2020, RoB 2, ROBINS-I, I² guide, GRADE, protocol registrationrisk_of_bias, meta_analysis, bibliography, report_compiler
references/literature_monitoring_strategies.mdGoogle Scholar alerts, PubMed alerts, RSS feeds, Retraction Watch, citation tracking, monitoring cadencemonitoring_agent
references/argumentation_reasoning_framework.mdCognitive framework for evaluating argument strength: Toulmin model, causal reasoning (Bradford Hill), inference to best explanation, epistemic status classificationsynthesis, devils_advocate, source_verification, socratic_mentor, research_architect
references/socratic_mode_protocol.mdFull 5-layer Socratic dialogue flow, management rules, auto-end conditionssocratic_mentor, research_question
references/systematic_review_protocol.mdFull PRISMA pipeline, checkpoint rules, meta-analysis proceduresrisk_of_bias, meta_analysis, bibliography, report_compiler
references/cross_agent_quality_definitions.mdPeer-reviewed source tiers, currency standards, severity definitionsall agents
references/changelog.mdFull version history

Templates

TemplatePurpose
templates/research_brief_template.mdQuick mode output format
templates/literature_matrix_template.mdSource x Theme analysis matrix
templates/evidence_assessment_template.mdPer-source quality assessment card
templates/preregistration_template.mdOSF standard 21-item preregistration template
templates/prisma_protocol_template.mdPRISMA-P 2015 systematic review protocol template
templates/prisma_report_template.mdPRISMA 2020 systematic review report template (27 items)

Examples

ExampleDemonstrates
examples/exploratory_research.mdFull 6-phase pipeline walkthrough
examples/systematic_review.mdPRISMA-style literature review
examples/policy_analysis.mdApplied comparative policy research
examples/socratic_guided_research.mdComplete Socratic mode multi-turn dialogue (12 rounds)
examples/handoff_to_paper.mddeep-research full mode handoff to academic-paper
examples/review_mode.mdReview mode: 3-agent review pipeline for policy recommendation text
examples/fact_check_mode.mdFact-check mode: source verification of HEI claims with per-claim verdicts
examples/idea_diversity_coverage_gap_advisory.md#257 Socratic wording-pattern + lit-review distributional-skew advisories

Output Language

Follows the user's language. Academic terminology kept in English. Socratic mode uses natural conversational style.


Anti-Patterns

Explicit prohibitions to prevent common failure modes:

#Anti-PatternWhy It FailsCorrect Behavior
1Confirmation bias in source selectionOnly finding sources that support the hypothesisDevil's Advocate checkpoint must include counter-evidence search
2Cherry-picking evidenceCiting one supportive study while ignoring three contradicting onesReport the full evidence landscape including conflicting findings
3Vibe citingMixing elements from 2-3 real papers into a fabricated referenceEvery reference must be verified independently; mashup fabrication is the hardest to detect
4⚠️ IRON RULE: Treating "difficult to verify" as acceptableMarking a reference as "uncertain" instead of FAILGray zone = FAIL. If you cannot confirm it exists, it does not go in the report
5Skipping phasesJumping to synthesis before completing source verificationComplete each phase fully; Phase N output is Phase N+1 input
6Shallow Socratic modeGiving answers disguised as questions ("Wouldn't you say X is true?")Ask genuine questions that expose assumptions; never lead to predetermined conclusions
7Source tier inflationTreating a blog post as equivalent to a peer-reviewed journalApply evidence hierarchy strictly: Tier 1 (peer-reviewed) > Tier 2 (preprint) > Tier 3 (gray lit)

Quality Standards

  1. ⚠️ IRON RULE: Every claim must have a citation — no unsupported assertions
  2. Evidence hierarchy — meta-analyses > RCTs > cohort studies > case reports > expert opinion (field-neutral baseline; grading is discipline-relative — a source meeting its own field's gold standard can reach Grade A even at a low design level. See references/source_quality_hierarchy.md §Grading Rubric + §Field-Specific Adjustments)
  3. Contradiction disclosure — if sources disagree, report both sides with evidence quality comparison
  4. Limitation transparency — every report must have an explicit limitations section
  5. AI disclosure — all reports include a statement that AI-assisted research tools were used
  6. Reproducibility — search strategies, inclusion criteria, and analytical methods must be documented for replication
  7. Socratic integrity — in socratic mode, never give direct answers; always guide through questions

Cross-Agent Quality Alignment

Unified definitions across all agents. ⚠️ IRON RULE: CRITICAL severity = issue that would invalidate a core conclusion or constitute academic misconduct. Requires immediate resolution.

See references/cross_agent_quality_definitions.md for full peer-reviewed source tiers, currency standards, and severity definitions.


Integration with Other Skills

This skill is domain-agnostic but can be combined with domain-specific skills:

deep-research + tw-hei-intelligence     -> Evidence-based HEI policy research
deep-research + report-to-website       -> Interactive research report
deep-research + podcast-script-generator -> Research podcast
deep-research + academic-paper          -> Full research-to-publication pipeline
deep-research (socratic) + academic-paper (plan) -> Guided research + paper planning
deep-research (systematic-review) + academic-paper -> PRISMA systematic review paper

Model Tiering (#517, optional)

When ARS_MODEL_TIERING is set, the dispatching session routes this skill's agents per shared/model_tiering.md (canonical: the full 39-agent judgment/execution table + rules). Compact rule:

  • Unset (default): every agent inherits the session model — byte-equivalent pre-#517 behavior.
  • economy (frontier-tier session): execution-type agents dispatch ONE tier below the session model — floor Opus-class, never lower; judgment-type agents stay on the session model. No-op at or below the floor (announce once).
  • quality-boost (below-frontier session): judgment-type agents at the checkpoint surfaces (Stage 2.5/4.5 gates; the opt-in Stage 4→5 claim–ref audit; final review) jump UP to the frontier tier (however many tiers away — not a single increment); nothing is ever downgraded. No-op at the frontier (announce once).
  • Unknown values → warn once, behave as unset. Tiers are relative positions, never hard-pinned model ids. When a direction is active, route repeated same-stage calls to the SAME worker so its prompt cache accumulates; unset means dispatch shapes stay byte-equivalent too.

Version Info

ItemContent
Skill Version2.11.0
Last Updated2026-07-11
MaintainerCheng-I Wu
Dependent Skillsacademic-paper v1.0+ (downstream)

Version History

See references/changelog.md for full version history.

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