deep-research

deep-research is a skill for Cursor from madebyaris/cursor-composer-rules. It costs 61 tokens per session (1,171 once invoked), scanned A, original, MIT.

A method for investigating a question through several sources while recording disagreements, supporting claims, and confidence levels.

In plain words
What is it for?
Use it for audits, vendor comparisons, security reviews, literature surveys, benchmarking methods, and broad architecture research.
Why use it?
It helps separate confirmed findings from assumptions when sources conflict or the subject involves security, compliance, benchmarks, unfamiliar tools, or technical history.

Skill for Cursor

Written for Cursor: installed under .cursor/. Also seen: mentions subagents.

Good fit Use it for audits, vendor comparisons, security reviews, literature surveys, benchmarking methods, and broad architecture research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/madebyaris/cursor-composer-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/cursor-composer-rules --skill deep-research
Clone the repo
git clone --depth 1 https://github.com/madebyaris/cursor-composer-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/cursor-composer-rules/deep-research.svg)](https://agentmods.dev/skills/madebyaris/cursor-composer-rules/deep-research)
Your own site
<a href="https://agentmods.dev/skills/madebyaris/cursor-composer-rules/deep-research"><img src="https://agentmods.dev/badge/skills/madebyaris/cursor-composer-rules/deep-research.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,171 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.
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 $0.00061 $0.01171
Opus 5 $0.00030 $0.00585
Sonnet 5 $0.00012 $0.00234
Haiku 4.5 $0.00006 $0.00117

Measured 7d ago against content hash baaec544004f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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 · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep research skill

Companion to .cursor/rules/composer-deep-research.mdc; load this when retrieval depth exceeds quick-rule ergonomics (more than a few independent sources, contradictory docs, benchmarking, compliance or security narratives).

For wide codebase surveys, pair this skill's claim ledger with the built-in Explore subagent or composer-orchestration — keep raw search noise out of the parent thread.

See reference.md for compact repeatable checklists.

Operating stance

Assume initial answers are hypotheses until corroborated — including training-data familiarity. Prioritise falsification (finding counter-evidence or version skew) ahead of reinforcing comfortable narratives.

Do not imitate private chain-of-thought. Make the research inspectable through compact artifacts: a plan, a claim ledger, a contradiction log, and a confidence-bearing conclusion. Close out so the parent can restate a standalone conclusion with confidence tiers.

Phase A — Clarify investigative goal

Produce internally (surface only if ambiguity blocks progress):

Facet Pin down
Question type Comparative, diagnostic, explanatory, procedural, forecasting (each steers retrieval)
Decision utility Actionable takeaway vs exploratory survey
Time/version window Freeze target stack release or cutoff date explicitly
Non-goals Exclusions narrowing scope creep
Success signal Acceptance evidence that would persuade a sceptical reviewer

Avoid expanding scope preemptively unless the user requests a landscape survey.

When the task is deep or high-stakes, surface a brief research plan before the final synthesis:

Research plan:
- Scope:
- Primary anchors:
- Counter-evidence pass:
- Stop condition:

Phase B — Retrieval passes (iterate two to four times typical)

Structure passes deliberately.

Pass 1 — Primary anchors

  • Official docs and readmes keyed to version.
  • Specs, RFCs, or issue trackers for definitive semantics.
  • Security advisories, changelogs, and CVE metadata feeding risk statements.

Read the full file on GitHub · 154 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. 7d ago First seen · 154 lines · 61 tokens per session scan A baaec544004f

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository madebyaris/cursor-composer-rules (3 stars, last pushed 19d ago), licensed MIT. It adds 61 tokens to every session and 1,171 once invoked, about $0.0003 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.

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