deep-research

deep-research is a skill for Cursor from madebyaris/advance-minimax-m3-cursor-rules. It costs 72 tokens per session (2,675 once invoked), scanned A, original, MIT.

A method for researching a topic through repeated searching, checking, and combining information from multiple sources.

In plain words
What is it for?
It is for fact-finding, comparisons, technical investigations, documentation reviews, codebase analysis, and detailed reports with sources.
Why use it?
It helps avoid shallow answers by adjusting the amount of research to the question and checking findings before writing the result.

Skill for Cursor

Written for Cursor: installed under .cursor/. Also seen: mentions subagents; names the TodoWrite tool.

Good fit It is for fact-finding, comparisons, technical investigations, documentation reviews, codebase analysis, and detailed reports with sources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/madebyaris/advance-minimax-m3-cursor-rules/deep-research
Install

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.

Any agent
npx skills add madebyaris/advance-minimax-m3-cursor-rules --skill deep-research
Clone the repo
git clone --depth 1 https://github.com/madebyaris/advance-minimax-m3-cursor-rules

Made for: Cursor.

Wrote 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.

agentmods badge for deep-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/madebyaris/advance-minimax-m3-cursor-rules/deep-research/github.svg)](https://agentmods.dev/skills/madebyaris/advance-minimax-m3-cursor-rules/deep-research)
Your own site
<a href="https://agentmods.dev/skills/madebyaris/advance-minimax-m3-cursor-rules/deep-research"><img src="https://agentmods.dev/badge/skills/madebyaris/advance-minimax-m3-cursor-rules/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.

agentmods 80×15 button for deep-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/madebyaris/advance-minimax-m3-cursor-rules/deep-research"><img src="https://agentmods.dev/badge/skills/madebyaris/advance-minimax-m3-cursor-rules/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,675 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.02675
Opus 5 $0.00036 $0.01337
Sonnet 5 $0.00014 $0.00535
Haiku 4.5 $0.00007 $0.00267

Measured 11d ago against content hash 8e3264091495, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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 11d 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.

.cursor/skills/deep-research/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research

Conduct thorough, multi-step research using an iterative loop of search, compress, reflect, and synthesize. Works with any Cursor-supported model.

Effort Scaling

Before starting, calibrate depth to the question:

Tier When Searches Delegation (Task) Output
Quick Focused factual question, single concept 2-3 None Concise answer with sources
Standard Multi-faceted topic, comparison, how-something-works 5-8 None Structured analysis with sections
Exhaustive Comprehensive survey, architecture decision, landscape review 10+ Parallel Task investigations Full report with citations
Calibration:
  Question complexity: [single-fact / multi-faceted / comprehensive]
  Source diversity needed: [one source type / mixed]
  User expectation: [quick answer / detailed analysis / full report]
  -> Tier: [Quick / Standard / Exhaustive]

Phase 0: Scope

Immediately classify the research request before any searching.

Step 1 -- Classify research type:

Type Signal Example
Comparison "vs", "compare", "which is better", "difference between" "React vs Vue for enterprise apps"
Explanation "how does", "what is", "explain", "why does" "How does Raft consensus work?"
Investigation "debug", "find out why", "what caused", "root cause" "Why is our build 3x slower?"
Survey "landscape", "options for", "state of", "overview" "State of CSS-in-JS in 2026"
Fact-check "is it true", "verify", "confirm" "Does React 19 still need keys?"

Step 2 -- Determine sources:

Source When to use
WebSearch + WebFetch General knowledge, current events, library docs, community solutions
SemanticSearch + Grep + Read Codebase-specific questions, internal patterns, project architecture
Mixed "How should we implement X?" (need both external best practices and internal conventions)

Read the full file on GitHub · 288 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 11d ago First seen · 288 lines · 72 tokens per session scan A 8e3264091495

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository madebyaris/advance-minimax-m3-cursor-rules (125 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 2,675 once invoked, about $0.0004 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.

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