OpenAgent is a self-hostable personal AI assistant that combines language models, document-based retrieval, and autonomous agent loops. It lets people connect model providers and their own knowledge bases, then have agents browse the web, run code, use computers, and call MCP-compatible tools.
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 skills add the-open-agent/openagent --skill video-framesgit clone --depth 1 https://github.com/the-open-agent/openagentWrote 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.
[](https://agentmods.dev/skills/the-open-agent/openagent/video-frames)<a href="https://agentmods.dev/skills/the-open-agent/openagent/video-frames"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/video-frames/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.
<a href="https://agentmods.dev/skills/the-open-agent/openagent/video-frames"><img src="https://agentmods.dev/badge/skills/the-open-agent/openagent/video-frames.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.00307 |
| Opus 5.5 | $0.00006 | $0.00123 |
| Sonnet 5.5 | $0.00003 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
video-frames 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 1mo 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.
What it actually says
Video Frames (ffmpeg)
Extract a single frame from a video, or create quick thumbnails for inspection.
Quick start
First frame:
ffmpeg -hide_banner -loglevel error -y \
-i /path/to/video.mp4 \
-vf "select=eq(n\,0)" \
-vframes 1 \
/tmp/frame.jpg
At a timestamp:
ffmpeg -hide_banner -loglevel error -y \
-ss 00:00:10 \
-i /path/to/video.mp4 \
-frames:v 1 \
/tmp/frame-10s.jpg
By frame index:
ffmpeg -hide_banner -loglevel error -y \
-i /path/to/video.mp4 \
-vf "select=eq(n\,42)" \
-vframes 1 \
/tmp/frame42.jpg
Notes
- Prefer
-ss+ timestamp for "what is happening around here?". - Use
.jpgfor quick sharing; use.pngfor crisp UI frames. - Use
-hide_banner -loglevel errorto suppress verbose ffmpeg output.
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.
- 1mo ago First seen · 53 lines · 15 tokens per session scan A cec8c93a6f8f
video-frames is a skill published in the GitHub repository the-open-agent/openagent (5,699 stars, last pushed yesterday), licensed Apache-2.0. It adds 15 tokens to every session and 307 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 2026-08-30.
Other skills, from other repositories
documents
Create, read, edit, review, comment on, sanitize, render, and validate Microsoft Word DOCX documents. Use whenever a DOCX or Word document is a primary input or deliverable, including reports, proposals, forms, templates, tracked revisions, comments, tables, images, headers, footers, and style-preserving edits.
Read, create, inspect, merge, split, rotate, encrypt, fill, and validate PDF files. Use when the user asks to work with a PDF or convert supported Markdown into a polished PDF in AstrBot.
skill-creator
Create, revise, and validate AstrBot Skills built around SKILL.md instruction bundles. Use when the user asks to create, scaffold, improve, package, or review a Skill for an AstrBot workspace, local installation, or plugin.
spreadsheets
Create, read, edit, analyze, convert, chart, and validate spreadsheet files including XLSX, XLSM, XLS, CSV, and TSV. Use when a spreadsheet is a primary input or deliverable, or when tabular data must remain editable and auditable in workbook form.
session-rag-eval
Run and debug Chatbox session attachment RAG model evaluation with synthetic and real long-file fixtures.
codebase-classification
Classify codebases before modification to choose appropriate development approach.