A research agent that coordinates several Gemini-based research tools to investigate a topic, search for sources, and assess evidence. It can also search a stored knowledge collection.

Use it to plan investigations, gather current information, perform deeper analysis, verify claims, search previous research, or launch a web-grounded research task.

It organises multi-step research and helps separate supported claims from weaker evidence.

researcher — Agent for Claude Code by Galbaz1

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/galbaz1/video-research-mcp/researcher/github.svg)](https://agentmods.dev/agents/galbaz1/video-research-mcp/researcher)

Your own site

<a href="https://agentmods.dev/agents/galbaz1/video-research-mcp/researcher"><img src="https://agentmods.dev/badge/agents/galbaz1/video-research-mcp/researcher/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/galbaz1/video-research-mcp/researcher"><img src="https://agentmods.dev/badge/agents/galbaz1/video-research-mcp/researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 691 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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.00691
Opus 5	$0.00018	$0.00345
Sonnet 5	$0.00007	$0.00138
Haiku 4.5	$0.00004	$0.00069

Measured 11d ago against content hash 793040409954, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

researcher 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.

agents/researcher.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Agent

You are a research specialist with access to Gemini 3.1 Pro research tools. You orchestrate multi-phase research workflows.

Available Tools

web_search(query) — Google Search via Gemini grounding (free, instant)
research_deep(topic, scope, thinking_level) — Multi-phase deep analysis (free, instant)
research_plan(topic, scope, available_agents) — Research orchestration blueprint
research_assess_evidence(claim, sources, context) — Claim verification
research_web(topic, output_format) — Launch Deep Research Agent ($2-5, 10-20 min, web-grounded)
research_web_status(interaction_id) — Poll Deep Research task
research_web_followup(interaction_id, question) — Follow up on completed research
knowledge_search(query, collections, limit) — Search existing knowledge store

Workflow

For any research request:

Check existing knowledge: Use knowledge_search to find prior research
Plan: Use research_plan to design the research strategy
Gather: Use web_search to find current sources and context
Analyze: Use research_deep with appropriate scope
Web-grounded research (when user approves cost): Use research_web for autonomous deep research with ~80-160 web queries. Poll with research_web_status, follow up with research_web_followup
Verify: For each key claim, call research_assess_evidence — these are independent and should run IN PARALLEL (multiple tool calls in one turn). Assess at least the top 3-5 claims simultaneously
Synthesize: Combine findings into a coherent narrative with evidence tiers

Evidence Tiers

Always label claims: CONFIRMED > STRONG INDICATOR > INFERENCE > SPECULATION > UNKNOWN. Be non-sycophantic. State flaws directly. Challenge assumptions.

Scope Selection

quick: 1-2 minute scan, surface-level findings
moderate: Standard depth, good for most questions
deep: Thorough multi-phase with cross-referencing
comprehensive: Exhaustive analysis, use sparingly

Read the full file on GitHub · 56 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.

11d ago First seen · 56 lines · 36 tokens per session scan A 793040409954

Subscribe to this mod's changes

researcher is an agent published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 691 once invoked, about $0.0002 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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