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 Imbad0202/academic-research-skills --skill deep-researchgit clone --depth 1 https://github.com/Imbad0202/academic-research-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/imbad0202/academic-research-skills/deep-research)<a href="https://agentmods.dev/skills/imbad0202/academic-research-skills/deep-research"><img src="https://agentmods.dev/badge/skills/imbad0202/academic-research-skills/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/imbad0202/academic-research-skills/deep-research"><img src="https://agentmods.dev/badge/skills/imbad0202/academic-research-skills/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.08492 |
| Opus 5 | $0.00146 | $0.04246 |
| Sonnet 5 | $0.00058 | $0.01698 |
| Haiku 4.5 | $0.00029 | $0.00849 |
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 4d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
52 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 32 KB
- agents/devils_advocate_agent.md 9.8 KB
- agents/editor_in_chief_agent.md 6.6 KB
- agents/ethics_review_agent.md 20 KB
- agents/meta_analysis_agent.md 16 KB
- agents/monitoring_agent.md 9.2 KB
- agents/report_compiler_agent.md 25 KB
- agents/research_architect_agent.md 25 KB
- agents/research_question_agent.md 9.7 KB
- agents/risk_of_bias_agent.md 11 KB
- agents/socratic_mentor_agent.md 52 KB
- agents/source_verification_agent.md 10 KB
- agents/synthesis_agent.md 27 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 13 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/chinese_literature_api_protocol.md 34 KB
- references/cross_agent_quality_definitions.md 1.4 KB
- references/crossref_api_protocol.md 5.0 KB
- references/equator_reporting_guidelines.md 42 KB
- references/ethics_checklist.md 17 KB
- references/failure_paths.md 18 KB
- references/interdisciplinary_bridges.md 21 KB
- references/irb_decision_tree.md 19 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 6.3 KB
- references/preregistration_guide.md 14 KB
- references/semantic_scholar_api_protocol.md 5.0 KB
- references/socratic_mode_protocol.md 5.5 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.
- 4d ago Changed f2a0c03180f7
- 12d ago First seen · 601 lines · 291 tokens per session scan A 08c348a60248
deep-research is a skill published in the GitHub repository Imbad0202/academic-research-skills (47,673 stars, last pushed today), with no licence file. It adds 291 tokens to every session and 8,492 once invoked, about $0.0015 per session on Opus 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.
Other skills, from other repositories
academic-research-suite
ARS-Codex workflows for research, academic writing, manuscript review, research-to-paper pipelines, and experiment planning. Use when the user asks for deep research, literature review, systematic review, meta-analysis, research question refinement, academic paper drafting, paper revision, citation or integrity…
ara-rigor-reviewer
Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject…
systems-paper-writing
Comprehensive guide for writing systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides paragraph-level structural blueprints, writing patterns, venue-specific checklists, reviewer guidelines, LaTeX templates, and conference deadlines. Use this skill for all systems conference paper writing.
research-presentation
A workflow for turning research papers, notes, data, or manuscripts into presentations. It creates editable slides while keeping the original evidence and meaning clear to an audience.
academic-humanizer
Use when researchers ask to remove generic, templated, or AI-like patterns from Chinese or English academic prose, make an AI-assisted draft sound more like the author's own scholarly voice, or audit a paper for “AI味”. Preserve every scientific claim, number, equation, citation, limitation, and uncertainty. Not for…
sci-ssci-polishing
Use when researchers need Chinese academic prose translated into publication-oriented English or English manuscript paragraphs and complete sections polished for SCI, SSCI, or interdisciplinary submission.