explainer

explainer is a command for coding agents from Galbaz1/video-research-mcp. It costs 17 tokens per session (1,197 once invoked), scanned B, original, MIT.

A workflow for creating an explainer video from a production plan, research, or a new idea. It covers setup, content preparation, generation, review, and rendering—the process of producing the final video file.

In plain words
What is it for?
Use it to turn a production order, research result, or topic into an explainer video project, or to check existing projects and their status.
Why use it?
It gives video work a defined sequence from source material to finished output. When no starting material is provided, it helps choose how to begin.

Command

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

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.

agentmods
npx agentmods add commands/galbaz1/video-research-mcp/explainer
Clone the repo
git clone --depth 1 https://github.com/Galbaz1/video-research-mcp

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 explainer

README.md
[![agentmods](https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/explainer.svg)](https://agentmods.dev/commands/galbaz1/video-research-mcp/explainer)
Your own site
<a href="https://agentmods.dev/commands/galbaz1/video-research-mcp/explainer"><img src="https://agentmods.dev/badge/commands/galbaz1/video-research-mcp/explainer.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,197 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
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 $0.00017 $0.01197
Opus 5 $0.00009 $0.00598
Sonnet 5 $0.00003 $0.00239
Haiku 4.5 $0.00002 $0.00120

Measured 5d ago against content hash 45c763b3f153, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

explainer 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 5d 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.

1. Use `Glob` to find recent `~/.claude/projects/*/memory/gr/*/analysis.md` files
commands/explainer.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Explainer Video: $ARGUMENTS

Create and produce an explainer video from content.

Phase 0: Onboarding (when no arguments)

If $ARGUMENTS is empty, guide the user:

AskUserQuestion:
  questions:
    - question: "What kind of video do you want to create?"
      header: "Video type"
      multiSelect: false
      options:
        - label: "From a Production Order"
          description: "Use an existing POD file (docs/plans/*.md) as the blueprint"
        - label: "From research output"
          description: "Turn a /gr:video or /gr:research analysis into a video"
        - label: "From scratch"
          description: "Start with a topic — I'll help you build the content"
        - label: "Check existing projects"
          description: "See what projects exist and their status"

If "From a Production Order":

  1. Use Glob to find docs/plans/*POD*.md or docs/plans/*VIDEO*.md
  2. Present the found files and let the user pick
  3. Read the POD file to extract: script, storyboard, audio direction
  4. Create project and inject the POD content

If "From research output":

  1. Use Glob to find recent ~/.claude/projects/*/memory/gr/*/analysis.md files
  2. Present the top 5 most recent analyses
  3. Let the user pick one (or multiple) as source material

If "From scratch":

  1. Ask for the topic
  2. Suggest running /gr:research or /gr:video first to gather source material
  3. Or proceed directly with user-provided text

If "Check existing projects":

  1. Call explainer_list() to show all projects with their status

Phase 1: Setup

If $ARGUMENTS is a project ID that doesn't exist yet:

  1. Call explainer_create(project_id="$ARGUMENTS")
  2. Ask the user for content to inject, or look for files in the current directory

If the project exists, call explainer_status to see current progress.

Phase 2: Content Injection

If the project's input/ is empty:

  1. Ask the user for content (research output, markdown, text)
  2. Call explainer_inject(project_id, content, filename) to write it

Read the full file on GitHub · 113 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. 5d ago First seen · 113 lines · 17 tokens per session scan B 45c763b3f153

Subscribe to this mod's changes

explainer is a command published in the GitHub repository Galbaz1/video-research-mcp (23 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 1,197 once invoked, about $0.0001 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.