mcp-video-analyzer: Instructions file for Codex

AGENTS.md

mcp-video-analyzer AGENTS.md is an instructions file for Codex, OpenCode from guimatheus92/mcp-video-analyzer. It costs 801 tokens per session, scanned A, original, MIT.

Project instructions for using the mcp-video-analyzer repository to analyze videos or contribute to its code. They describe the video skill, command-line tool, MCP server, supported inputs, and expected output.

In plain words
What is it for?
Use them to analyze videos with the recommended skill, run the one-shot command-line analyzer, configure the MCP server, or understand the repository's notes and contribution guidance.
Why use it?
They tell an agent which interface to use and how to interpret the results, including when visual questions require reading extracted image frames. This avoids using the wrong workflow for the task.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions Claude Code; mentions AGENTS.md.

This is guimatheus92/mcp-video-analyzer's own configuration. It tells Codex and OpenCode how to work on mcp-video-analyzer 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 mcp-video-analyzer configures →

Reuse

Borrowing it

Nothing to install: this file belongs to guimatheus92/mcp-video-analyzer. 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/guimatheus92/mcp-video-analyzer/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/guimatheus92/mcp-video-analyzer

Made for: Codex, OpenCode.

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.

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README.md
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<a href="https://agentmods.dev/instructions/guimatheus92/mcp-video-analyzer/agents-md"><img src="https://agentmods.dev/badge/instructions/guimatheus92/mcp-video-analyzer/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 801 This file is loaded in full into every session.
When invoked 801 The same file — it is already loaded in full.
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 $0.00801 $0.00801
Opus 5 $0.00400 $0.00400
Sonnet 5 $0.00160 $0.00160
Haiku 4.5 $0.00080 $0.00080

Measured yesterday against content hash 1348f05da3e1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

mcp-video-analyzer AGENTS.md 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.

AGENTS.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Instructions for AI agents (Claude Code, Codex, Cursor, Copilot, Gemini CLI, …) using this project as a tool. To work on the codebase itself, see Contributing to this codebase below and CONTRIBUTING.md.

Analyzing a video

Preferred: install the video skill and follow its contract — skills/video/SKILL.md:

npx skills add guimatheus92/mcp-video-analyzer

Without the skill, the one-shot CLI works from any shell (Node 22.12+ only; ffmpeg is bundled):

npx -y mcp-video-analyzer@latest analyze "<video-url-or-path>"

stdout is a single JSON document (metadata, transcript, ocrResults, timeline, warnings, and frames as { time, filePath, mimeType } → JPEG key frames on disk). Progress goes to stderr. Read the frame images for visual questions; answer with timestamps. analyze --help lists all flags.

MCP alternative

If your agent supports MCP, register the stdio server instead — richer tool set (analyze_video, analyze_moment, get_transcript, get_metadata, get_frames, get_frame_at, get_frame_burst, analyze_videos) with frames returned inline:

{ "command": "npx", "args": ["-y", "mcp-video-analyzer@latest"] }

Notes

  • Platform URLs (YouTube, Instagram, TikTok, …) need yt-dlp on PATH; direct .mp4/.webm/.mov URLs and local files don't. Loom transcript/metadata/comments don't either. Loom frames usually do — most Loom videos are separate DASH video+audio streams that only yt-dlp merges; a CDN fallback covers some without it.
  • The warnings array carries actionable hints (yt-dlp install, cookies via YTDLP_COOKIES_FROM_BROWSER, Whisper backends) — relay them, don't treat them as errors.
  • Only http(s) URLs to public addresses are fetched. localhost, LAN/private ranges, .local names, UNC paths and non-HTTP schemes are refused by design — if the user genuinely wants a video off their own network, tell them to set MCP_ALLOW_PRIVATE_URLS=1, don't retry the URL. Cloud metadata endpoints stay blocked regardless.
  • An empty transcript plus a "silent audio" warning means the video has no speech; that's content, not a failure.
  • Frames are emitted at 800 px wide by default. For a dense UI capture (terminal, dashboard, IDE, spreadsheet) that downscale drops small text below what a vision model can read — pass maxWidth on the MCP frame tools (0 = source resolution), or --max-width <px> on the CLI. Native frames cost several times more context, so use it for the close read, not the overview.

Read the full file on GitHub · 42 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. yesterday Changed · +1 lines · +77 tokens per session 1348f05da3e1
  2. 8d ago First seen · 41 lines · 724 tokens per session scan A 77884edf59af

Subscribe to this mod's changes

mcp-video-analyzer AGENTS.md is an instructions file published in the GitHub repository guimatheus92/mcp-video-analyzer (60 stars, last pushed yesterday), licensed MIT. It adds 801 tokens to every session, about $0.0040 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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