research

research is a command for Claude Code from Galbaz1/video-research-mcp. It costs 9 tokens per session (1,290 once invoked), scanned B, original, MIT.

A command for performing offline, multi-phase research on a topic, with evidence labels such as confirmed, inference, and unknown. Its instructions also describe an optional separate web-based deep-research command.

In plain words
What is it for?
Use it to research a topic, compare evidence, identify open questions, critique the method, and save an initial set of results for later work.
Why use it?
It organizes uncertain findings and highlights how well each claim is supported, reducing the risk of presenting guesses as facts.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; reads .claude/ paths; names the AskUserQuestion tool.

Part of the gr plugin — 12 skills, 17 commands, 7 agents shipped together

Good fit Use it to research a topic, compare evidence, identify open questions, critique the method, and save an initial set of results for later work.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/galbaz1/video-research-mcp/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.

Clone the repo
git clone --depth 1 https://github.com/Galbaz1/video-research-mcp

Made for: Claude Code.

Or install gr, the plugin that ships this one along with the rest of its 12 skills, 17 commands, 7 agents.

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 research

README.md
[![agentmods](https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/research/github.svg)](https://agentmods.dev/commands/galbaz1/video-research-mcp/research)
Your own site
<a href="https://agentmods.dev/commands/galbaz1/video-research-mcp/research"><img src="https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/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 research

Your own site · 80×15
<a href="https://agentmods.dev/commands/galbaz1/video-research-mcp/research"><img src="https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,290 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00009 $0.01290
Opus 5 $0.00005 $0.00645
Sonnet 5 $0.00002 $0.00258
Haiku 4.5 $0.00001 $0.00129

Measured 9d ago against content hash 6fab7f593056, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

research scanned grade B with 1 finding 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

a. Determine the memory directory: find the `.claude/` project memory path for the current working directory. Use `Glob` on `~/.claude/projects/*/memory/` to find the active project memory path if needed.
commands/research.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research: $ARGUMENTS

For web-grounded deep research with the Gemini Deep Research Agent ($2-5/task, 10-20 min), use /gr:research-deep instead. This command uses offline analysis (free, instant).

Run a multi-phase deep research analysis with progressive memory saving and automatic evidence-network visualization.

Phase 1: Research (run BOTH in parallel)

These two calls are independent — they hit different models with separate quotas. Issue both tool calls in a single turn:

  1. web_search(query="$ARGUMENTS") — uses Gemini Flash with Google Search grounding
  2. research_deep(topic="$ARGUMENTS", scope="moderate", thinking_level="high") — uses Gemini Pro

Do NOT wait for one to finish before starting the other.

Phase 2: Present & Save Initial Results

  1. Present findings organized by evidence tier:

    • CONFIRMED — Multiple independent sources agree
    • STRONG INDICATOR — Credible evidence with minor gaps
    • INFERENCE — Reasonable conclusion from indirect evidence
    • SPECULATION — Plausible but unverified
    • UNKNOWN — Insufficient evidence
  2. Highlight open questions and methodology critique

  3. Immediately save initial results: a. Determine the memory directory: find the .claude/ project memory path for the current working directory. Use Glob on ~/.claude/projects/*/memory/ to find the active project memory path if needed. b. Generate a slug from the topic: lowercase, hyphens, no special chars, max 50 chars (e.g., "impact of mcp on ai agents" → impact-of-mcp-on-ai-agents) c. Use Write to save at <memory-dir>/gr/research/<slug>/analysis.md:

---
source: web research
topic: "$ARGUMENTS"
analyzed: <ISO 8601 timestamp>
updated: <ISO 8601 timestamp>
scope: moderate
findings_count: <number>
evidence_tiers:
  confirmed: <count>
  strong_indicator: <count>
  inference: <count>
  speculation: <count>
  unknown: <count>
---

# $ARGUMENTS

> Researched on <YYYY-MM-DD HH:MM>
> Scope: moderate

## Executive Summary  <!-- <YYYY-MM-DD HH:MM> -->

<2-3 sentence summary>

## Findings  <!-- <YYYY-MM-DD HH:MM> -->

### CONFIRMED
1. **<Finding>** — <evidence summary>

### STRONG INDICATOR
2. **<Finding>** — <evidence summary>

### INFERENCE
3. **<Finding>** — <evidence summary>

### SPECULATION
4. **<Finding>** — <evidence summary>

### UNKNOWN
5. **<Finding>** — <evidence summary>

## Sources  <!-- <YYYY-MM-DD HH:MM> -->

<Cited sources with URLs where available>

## Open Questions  <!-- <YYYY-MM-DD HH:MM> -->

<Unresolved questions for future investigation>

## Methodology Critique  <!-- <YYYY-MM-DD HH:MM> -->

<Assessment of research methodology limitations>

Read the full file on GitHub · 150 lines

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. 9d ago First seen · 150 lines · 9 tokens per session scan B 6fab7f593056

Subscribe to this mod's changes

research is a command published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 1,290 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.