agentmods.dev

eyeroll AGENTS.md

eyeroll AGENTS.md is an instructions file for Codex, OpenCode from mnvsk97/eyeroll. It costs 706 tokens per session, scanned A, original, MIT.

Project instructions for eyeroll, a tool that analyzes videos or screenshots and produces notes that coding agents can act on.

In plain words
What is it for?
Use them when developing eyeroll, analyzing Loom or YouTube videos and local files, running its command-line interface, or checking its architecture.
Why use it?
They explain how to install, run, test, and configure the project, including cloud and local analysis options.

Instructions file for CodexOpenCode

not rated 17 3mo ago A scan 706 tokens original MIT
View the source file mnvsk97/eyeroll
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 instructions/mnvsk97/eyeroll/agents-md
Clone the repo
git clone --depth 1 https://github.com/mnvsk97/eyeroll

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.

agentmods badge for eyeroll AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mnvsk97/eyeroll/agents-md.svg)](https://agentmods.dev/instructions/mnvsk97/eyeroll/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/mnvsk97/eyeroll/agents-md"><img src="https://agentmods.dev/badge/instructions/mnvsk97/eyeroll/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 706 This file is loaded in full into every session.
When invoked 706 The same file — it is already loaded in full.
Security scan A 0 findings. 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 $0.00706 $0.00706
Opus 5 $0.00353 $0.00353
Sonnet 5 $0.00141 $0.00141
Haiku 4.5 $0.00071 $0.00071

Measured 5d ago against content hash 97b9bba53d83, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

eyeroll 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 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.

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 · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Project

eyeroll — AI eyes that roll through video footage. Takes video URLs (Loom, YouTube), local video files, or screenshots as input. Supports Gemini Flash (API) and Ollama with Qwen3-VL (local, private). Produces structured notes that coding agents can act on — fix bugs, build features, create skills, or anything else.

Commands

# Install
pip install .
# or with uv:
uv sync

# Run tests
pytest
pytest --cov --cov-report=term-missing

# CLI
eyeroll init                                              # set up Gemini API key
eyeroll watch <url-or-path>                               # analyze (gemini default)
eyeroll watch <url> --context "broken after PR #432"      # with context
eyeroll watch <path> --backend ollama                     # use local Qwen3-VL
eyeroll watch <path> -b ollama -m qwen3-vl:2b             # specific model
eyeroll watch <path> --verbose --output report.md         # verbose + write to file

Architecture

  • Pipeline: acquire.py → extract.py → analyze.py → watch.py (orchestrator)
  • backend.py: Abstract Backend class with GeminiBackend and OllamaBackend implementations. Factory via get_backend().
  • acquire.py: Downloads from URLs via yt-dlp, resolves local files. Returns file_path, media_type, title.
  • extract.py: ffmpeg wrappers for key frame extraction, audio extraction, duration detection.
  • analyze.py: Backend-agnostic analysis. Frame-by-frame with structured prompts, direct video upload (Gemini only), audio transcription, and synthesis.
  • watch.py: Orchestrates the pipeline. Chooses strategy based on backend capabilities and video size.
  • cli.py: Click CLI with init and watch commands. --backend and --model flags.

Backends

  • gemini (default): Gemini Flash API. Supports direct video upload, audio transcription. Requires GEMINI_API_KEY.
  • openai: OpenAI GPT-4o. Frame-by-frame image analysis + Whisper audio transcription. Requires OPENAI_API_KEY.
  • ollama: Local models via Ollama. Supports frame-by-frame image analysis only (no direct video, no audio). Default model: qwen3-vl. No API key needed.

Read the full file on GitHub · 56 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 · 56 lines · 706 tokens per session scan A 97b9bba53d83

Subscribe to this mod's changes

eyeroll AGENTS.md is an instructions file published in the GitHub repository mnvsk97/eyeroll (17 stars, last pushed 3mo ago), licensed MIT. It adds 706 tokens to every session, about $0.0035 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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