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.
npx agentmods add agents/galacoder/vimeo-mcp/content-optimizergit clone --depth 1 https://github.com/galacoder/vimeo-mcpWhat 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 | $0.00012 | $0.01157 |
| Opus 5 | $0.00006 | $0.00579 |
| Sonnet 5 | $0.00002 | $0.00231 |
| Haiku 4.5 | $0.00001 | $0.00116 |
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 yesterday.
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.
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
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.
- yesterday First seen · 201 lines · 12 tokens per session scan A 650c25830649
content-optimizer is an agent published in the GitHub repository galacoder/vimeo-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 1,157 once invoked, about $0.0001 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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