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 echoleesong/claude-skills-plugin --skill deep-researchgit clone --depth 1 https://github.com/echoleesong/claude-skills-pluginWrote 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/echoleesong/claude-skills-plugin/deep-research)<a href="https://agentmods.dev/skills/echoleesong/claude-skills-plugin/deep-research"><img src="https://agentmods.dev/badge/skills/echoleesong/claude-skills-plugin/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/echoleesong/claude-skills-plugin/deep-research"><img src="https://agentmods.dev/badge/skills/echoleesong/claude-skills-plugin/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 | $0.06626 |
| Opus 5 | $0.00112 | $0.03313 |
| Sonnet 5 | $0.00045 | $0.01325 |
| Haiku 4.5 | $0.00022 | $0.00663 |
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 9d 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
1 near-identical copy found in the catalogue:
- deep-research — 92% identical, 74 lines differ
How it starts
The opening of the file, as written. The whole thing — 510 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, 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
What ships with it
49 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 23 KB
- agents/devils_advocate_agent.md 9.5 KB
- agents/editor_in_chief_agent.md 6.5 KB
- agents/ethics_review_agent.md 8.3 KB
- agents/meta_analysis_agent.md 16 KB
- agents/monitoring_agent.md 9.2 KB
- agents/report_compiler_agent.md 22 KB
- agents/research_architect_agent.md 9.6 KB
- agents/research_question_agent.md 8.2 KB
- agents/risk_of_bias_agent.md 11 KB
- agents/socratic_mentor_agent.md 36 KB
- agents/source_verification_agent.md 9.0 KB
- agents/synthesis_agent.md 16 KB
- agents/timeline_extraction_agent.md 5.0 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/crossref_api_protocol.md 4.1 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/openalex_api_protocol.md 4.1 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.
- 9d ago First seen · 510 lines · 225 tokens per session scan A d6fb570724dc
deep-research is a skill published in the GitHub repository echoleesong/claude-skills-plugin (4 stars, last pushed 3mo ago), licensed MIT. It adds 225 tokens to every session and 6,626 once invoked, about $0.0011 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…