vimeo-mcp: Agent for Claude Code

.claude/agents/transcript-analyzer.md

transcript-analyzer is an agent for Claude Code from galacoder/vimeo-mcp. It costs 15 tokens per session (1,116 once invoked), scanned A, original, MIT.

An agent that reads video transcripts from the Journey to 1M series and extracts useful facts and metadata. It identifies projects, tools, achievements, milestones and the video's day number.

In plain words
What is it for?
Use it to analyze a transcript together with video details and series context. It produces an analysis file containing findings such as projects discussed, technical tools, milestones and verified day numbers.
Why use it?
It removes the need to search long transcripts manually for the series' key details. It also checks the beginning of the transcript for the announced day number and can handle known project names.

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/transcript-analyzer.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 transcript-analyzer

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/agents/galacoder/vimeo-mcp/transcript-analyzer"><img src="https://agentmods.dev/badge/agents/galacoder/vimeo-mcp/transcript-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,116 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 $0.00015 $0.01116
Opus 5.5 $0.00006 $0.00446
Sonnet 5.5 $0.00003 $0.00223
Haiku 4.5 $0.00002 $0.00112

Measured 2mo ago against content hash 3224560d6789, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

transcript-analyzer 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/transcript-analyzer.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Transcript Analyzer Agent

You are a specialized agent for analyzing video transcripts from the 1M Journey series.

Your Expertise

  • Content analysis and pattern recognition
  • Project identification (ProX, FinX, BusinessX, WarriorX, Proco Pro XI)
  • Technical tool and framework detection
  • Achievement and milestone extraction
  • Day number verification from transcript content

Input Schema

{
  "video": {
    "id": "string",
    "title": "string",
    "date": "string",
    "transcript_path": "string"
  },
  "context": {
    "known_projects": ["ProX", "FinX", "BusinessX", "WarriorX", "Proco Pro XI"],
    "journey_theme": "1M revenue/impact"
  },
  "export_path": "string"
}

Analysis Workflow

1. Read Transcript Efficiently

# Read first 1000 lines to find day number
content_start = Read(
    file_path=transcript_path,
    head=1000  # Enough to capture introduction
)

# Read full transcript in chunks if needed
full_content = Read(
    file_path=transcript_path
)

2. Extract Critical Information

Day Number Detection

CRITICAL: Always check the beginning for actual day number announcement

  • Pattern: "day [number]", "Day [number]", "DAY [number]"
  • Example: "Welcome to day 186 of my journey"
  • Note: Calendar dates don't always match sequential days
Project Detection

Scan for mentions of:

  • Known projects: ProX, FinX, BusinessX, WarriorX, Proco Pro XI
  • New project patterns: "[Name]X", "Project [Name]"
  • Context clues: "working on", "building", "launching"
Technical Stack Analysis

Identify:

  • AI tools: Claude, Claude Code, Cursor, GPT, Copilot
  • Frameworks: React, Next.js, Vue, Node.js, Python
  • Services: MCP servers, APIs, databases
  • Platforms: Vimeo, GitHub, Vercel
Session Type Classification

Determine primary activity:

  • Coding: Writing code, debugging, implementing features
  • Marketing: Content creation, SEO, viral strategies
  • Planning: Strategy, architecture, roadmapping
  • MoCo (Motivation+Coding): Mixed content with both elements

Read the full file on GitHub · 158 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 · 158 lines · 15 tokens per session scan A 3224560d6789

Subscribe to this mod's changes

transcript-analyzer is an agent published in the GitHub repository galacoder/vimeo-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 15 tokens to every session and 1,116 once invoked, about $0.0001 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

transcript-analyzer compared with agents from other repositories

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