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 hamzabellouch/agent-skills --skill academic-deep-researchgit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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/hamzabellouch/agent-skills/academic-deep-research)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/academic-deep-research"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-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/hamzabellouch/agent-skills/academic-deep-research"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/academic-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 | $0.00291 | $0.07402 |
| Opus 5 | $0.00146 | $0.03701 |
| Sonnet 5 | $0.00058 | $0.01480 |
| Haiku 4.5 | $0.00029 | $0.00740 |
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 8d 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.
This is a copy
92% identical to deep-research — 74 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 562 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.
Routing discipline (v3.9.2): see
.claude/CLAUDE.md"Routing Discipline (v3.9.2)" +shared/references/intent_clarification_protocol.mdfor 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:
- 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, WHY HOW WHAT papers, 3W literature scan, guide my research, help me think through, monitor this topic, set up alerts
What ships with it
51 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 29 KB
- agents/devils_advocate_agent.md 9.7 KB
- agents/editor_in_chief_agent.md 6.6 KB
- agents/ethics_review_agent.md 11 KB
- agents/meta_analysis_agent.md 16 KB
- agents/monitoring_agent.md 9.2 KB
- agents/report_compiler_agent.md 23 KB
- agents/research_architect_agent.md 15 KB
- agents/research_question_agent.md 8.9 KB
- agents/risk_of_bias_agent.md 11 KB
- agents/socratic_mentor_agent.md 50 KB
- agents/source_verification_agent.md 10 KB
- agents/synthesis_agent.md 25 KB
- agents/timeline_extraction_agent.md 7.8 KB
- examples/exploratory_research.md 6.9 KB
- examples/fact_check_mode.md 13 KB
- examples/handoff_to_paper.md 11 KB
- examples/idea_diversity_coverage_gap_advisory.md 3.2 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/arxiv_api_protocol.md 6.5 KB
- references/changelog.md 2.3 KB
- references/cross_agent_quality_definitions.md 1.4 KB
- references/crossref_api_protocol.md 4.3 KB
- references/equator_reporting_guidelines.md 14 KB
- references/ethics_checklist.md 12 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 18 KB
- references/openalex_api_protocol.md 5.8 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 10 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.
- 8d ago First seen · 562 lines · 291 tokens per session scan A f903840f07c4
deep-research is a skill published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 291 tokens to every session and 7,402 once invoked, about $0.0015 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to deep-research, differing in 74 lines, and is treated as a copy.
Other skills, from other repositories
semantic-scholar-deep
Deep research over the Semantic Scholar Graph API. Covers endpoints missing from allenai's lookup skill — paper references (backward citations), recommendations, batch paper lookup (up to 500 IDs), snippet search, and multi-hop citation graph traversal (BFS forward/backward). Use when the user asks to build a citation…
thesis-control
Use when AI-assisted thesis or manuscript edits risk claim drift, scope creep, loss of intended use, experiment-role promotion, or repeated revisions that fail to converge; provides author-intent control, lightweight or strict contracts, drift audits, revision escalation, and human gates.
manuscript-reframe
Reframe report-like academic drafts into paper-form scientific arguments while preserving or explicitly renegotiating author intent; requires an approved old-versus-proposed spine, evidence and argument baselines, analysis-role control, and post-edit drift review.
aerospace-engineering-technician
Use when a task needs the judgment of an Aerospace Engineering and Operations Technologist/Technician — verifying an installed fastener's preload against a drawing's torque callout via the T=K·D·F relationship, reducing strain-gauge data from a structural proof-load test into stress and checking it against an…
agricultural-engineer
Use when a task needs the judgment of an agricultural engineer — sizing a center-pivot or drip irrigation system's peak capacity against crop water demand, computing lateral grain-bin wall pressure with Janssen's equation, sizing a waterway or tile-drainage system with Manning's equation and an NRCS design-storm…
agricultural-sciences-professor
Use when a task needs the judgment of a tenure-track or tenured Agricultural Sciences faculty member at a land-grant university — deciding whether to submit a grant this cycle versus wait, allocating time across the teaching/research/extension appointment split, diagnosing a stalled graduate student or field trial, or…