Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LUNARTECH-X/superpowers --skill deep-researchgit clone --depth 1 https://github.com/LUNARTECH-X/superpowersWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lunartech-x/superpowers/deep-research)<a href="https://agentmods.dev/skills/lunartech-x/superpowers/deep-research"><img src="https://agentmods.dev/badge/skills/lunartech-x/superpowers/deep-research/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lunartech-x/superpowers/deep-research"><img src="https://agentmods.dev/badge/skills/lunartech-x/superpowers/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00225 | $0.06000 |
| Opus 5.5 | $0.00090 | $0.02400 |
| Sonnet 5.5 | $0.00045 | $0.01200 |
| Haiku 4.5 | $0.00022 | $0.00600 |
Grade A, and why
deep-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- deep-research — 100% identical, 2 lines differ
- deep-research — 94% identical, 42 lines differ
How it starts
The opening of the file, as written. The whole thing — 489 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
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:
- Scoping — Research question + methodology blueprint
- Investigation — Systematic literature search + source verification
- Analysis — Cross-source synthesis + bias check
- Composition — Full APA 7.0 report
- Review — Editorial + ethics + vulnerability scan
- 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, 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, 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
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):
- User has no clear research question and wants guided thinking
- User asks to be "led", "guided", or "mentored" through research
- User expresses uncertainty about what to research or where to start
- User wants to brainstorm, explore, or clarify a research direction
- User describes a vague interest without a specific, answerable question
What ships with it
46 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/bibliography_agent.md 20 KB
- agents/devils_advocate_agent.md 9.5 KB
- agents/editor_in_chief_agent.md 5.0 KB
- agents/ethics_review_agent.md 7.0 KB
- agents/meta_analysis_agent.md 15 KB
- agents/monitoring_agent.md 9.2 KB
- agents/report_compiler_agent.md 17 KB
- agents/research_architect_agent.md 8.6 KB
- agents/research_question_agent.md 7.1 KB
- agents/risk_of_bias_agent.md 9.5 KB
- agents/socratic_mentor_agent.md 36 KB
- agents/source_verification_agent.md 7.8 KB
- agents/synthesis_agent.md 12 KB
- examples/exploratory_research.md 6.9 KB
- examples/fact_check_mode.md 13 KB
- examples/handoff_to_paper.md 11 KB
- examples/policy_analysis.md 9.4 KB
- examples/review_mode.md 17 KB
- examples/socratic_guided_research.md 23 KB
- examples/systematic_review.md 7.7 KB
- references/apa7_style_guide.md 4.6 KB
- references/argumentation_reasoning_framework.md 3.9 KB
- references/changelog.md 2.3 KB
- references/cross_agent_quality_definitions.md 1.4 KB
- references/equator_reporting_guidelines.md 14 KB
- references/ethics_checklist.md 10 KB
- references/failure_paths.md 15 KB
- references/interdisciplinary_bridges.md 21 KB
- references/irb_decision_tree.md 12 KB
- references/literature_monitoring_strategies.md 11 KB
- references/logical_fallacies.md 10 KB
- references/methodology_patterns.md 17 KB
- references/mode_selection_guide.md 16 KB
- references/preregistration_guide.md 12 KB
- references/semantic_scholar_api_protocol.md 5.0 KB
- references/socratic_mode_protocol.md 4.1 KB
- references/socratic_questioning_framework.md 11 KB
- references/source_quality_hierarchy.md 7.2 KB
- references/systematic_review_protocol.md 3.9 KB
- references/systematic_review_toolkit.md 19 KB
- templates/evidence_assessment_template.md 3.7 KB
- templates/literature_matrix_template.md 3.7 KB
- templates/preregistration_template.md 8.5 KB
- templates/prisma_protocol_template.md 8.8 KB
- templates/prisma_report_template.md 16 KB
- templates/research_brief_template.md 2.1 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 489 lines · 225 tokens per session scan A 3a4d2b9dbdeb
deep-research is a skill published in the GitHub repository LUNARTECH-X/superpowers (17 stars, last pushed 5mo ago), licensed MIT. It adds 225 tokens to every session and 6,000 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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