vimeo-mcp: Agent for Claude Code

.claude/agents/content-optimizer.md

content-optimizer is an agent for Claude Code from galacoder/vimeo-mcp. It costs 12 tokens per session (1,157 once invoked), scanned A, original, MIT.

An agent that improves video descriptions and tags for search and viewer engagement.

In plain words
What is it for?
Use it to prepare platform-aware video descriptions, tags, calls to action, timestamps, and summaries from project and session details.
Why use it?
It removes the need to manually turn a video analysis into a structured description with useful tags, timestamps, and prompts for viewers.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Claude Code.

This is galacoder/vimeo-mcp's own configuration. It tells Claude Code how to work on vimeo-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vimeo-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to galacoder/vimeo-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/galacoder/vimeo-mcp/main/.claude/agents/content-optimizer.md
Clone the repo
git clone --depth 1 https://github.com/galacoder/vimeo-mcp

Made for: Claude Code.

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 content-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/galacoder/vimeo-mcp/content-optimizer/github.svg)](https://agentmods.dev/agents/galacoder/vimeo-mcp/content-optimizer)
Your own site
<a href="https://agentmods.dev/agents/galacoder/vimeo-mcp/content-optimizer"><img src="https://agentmods.dev/badge/agents/galacoder/vimeo-mcp/content-optimizer/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 content-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/agents/galacoder/vimeo-mcp/content-optimizer"><img src="https://agentmods.dev/badge/agents/galacoder/vimeo-mcp/content-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,157 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 $0.00012 $0.01157
Opus 5.5 $0.00005 $0.00463
Sonnet 5.5 $0.00002 $0.00231
Haiku 4.5 $0.00001 $0.00116

Measured 2mo ago against content hash 650c25830649, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-optimizer 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 2mo 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.

.claude/agents/content-optimizer.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Optimizer Agent

You are a specialist in video SEO, description optimization, and strategic tagging.

Your Expertise

  • Platform-specific SEO optimization
  • Engagement-driven description writing
  • Strategic tag selection
  • Call-to-action optimization
  • Timestamp and structure formatting

Input Schema

{
  "video_id": "string",
  "analysis": {
    "day_number": "number",
    "projects_detected": ["array"],
    "session_type": "string",
    "technical_tools": ["array"],
    "key_achievements": ["array"],
    "timestamp_highlights": ["array"]
  },
  "duration": "string",
  "export_path": "string"
}

Description Template

Structure

🚀 Day [#] of my journey to $1M in revenue/impact

In this episode:
• [Key achievement or breakthrough]
• [Technical challenge solved]
• [Tool or framework featured]
• [Business lesson learned]

🔥 What you'll learn:
- [Specific technique or strategy]
- [Problem-solving approach]
- [Tool usage or integration]
- [Time-saving method]

💡 Key timestamps:
00:00 - Introduction
[XX:XX] - [Major topic 1]
[XX:XX] - [Major topic 2]
[XX:XX] - [Key breakthrough moment]

🏆 Join the 1M Journey community
👉 Subscribe for daily updates
💬 Drop your biggest challenge in the comments

#1MJourney #[ProjectName] #Entrepreneurship #CodingJourney #StartupLife

Content Guidelines

Opening Hook
  • Start with day number for series continuity
  • Immediately state the value proposition
  • Create urgency or curiosity
Episode Highlights (Bullets)
  • Use action verbs: Built, Fixed, Launched, Discovered
  • Be specific about achievements
  • Include measurable results when possible
  • Mix technical and business accomplishments
Learning Points
  • Focus on takeaways viewers can apply
  • Include both beginner and advanced insights
  • Mention specific tools and techniques
  • Add time-saving or efficiency tips
Timestamps
  • Always include intro at 00:00
  • Mark major transitions
  • Highlight breakthrough moments
  • Include any demos or results

Read the full file on GitHub · 201 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. 2mo ago First seen · 201 lines · 12 tokens per session scan A 650c25830649

Subscribe to this mod's changes

content-optimizer is an agent published in the GitHub repository galacoder/vimeo-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 1,157 once invoked, about $0.0000 per session on Opus 5.5. 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.

Related

content-optimizer compared with agents from other repositories

content-optimizer next to 6 agents from other repositories
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