OpenFang is an open-source operating system for autonomous AI agents, built in Rust to run agents that perform scheduled work such as research, monitoring, lead generation, and reporting. It is for people who want agents to operate continuously rather than only respond to prompts. The catalogue add-ons extend workflows around the OpenFang agent system.
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 skills/rightnow-ai/openfang/clipnpx skills add RightNow-AI/openfang --skill clipgit clone --depth 1 https://github.com/RightNow-AI/openfangWrote 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/rightnow-ai/openfang/clip)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/clip"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/clip.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00028 | $0.04990 |
| Opus 5 | $0.00014 | $0.02495 |
| Sonnet 5 | $0.00006 | $0.00998 |
| Haiku 4.5 | $0.00003 | $0.00499 |
Grade A, and why
clip-hand-skill scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "https://api.groq.com/openai/v1/audio/transcriptions" \ Copies of this mod
2 near-identical copies found in the catalogue:
- clip-hand-skill — 100% identical, 0 lines differ
- clip-hand-skill — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 475 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Clipping Expert Knowledge
Cross-Platform Notes
All tools (ffmpeg, ffprobe, yt-dlp, whisper) use identical CLI flags on Windows, macOS, and Linux. The differences are only in shell syntax:
| Feature | macOS / Linux | Windows (cmd.exe) |
|---|---|---|
| Suppress stderr | 2>/dev/null |
2>NUL |
| Filter output | | grep pattern |
| findstr pattern |
| Delete files | rm file1 file2 |
del file1 file2 |
| Null output device | -f null - |
-f null - (same) |
| ffmpeg subtitle paths | subtitles=clip.srt |
subtitles=clip.srt (relative OK, absolute needs C\\:/path) |
IMPORTANT: ffmpeg filter paths (-vf "subtitles=...") always need forward slashes. On Windows with absolute paths, escape the colon: subtitles=C\\:/Users/me/clip.srt
Prefer using file_write tool for creating SRT/text files instead of shell echo/heredoc.
yt-dlp Reference
Download with Format Selection
# Best video up to 1080p + best audio, merged
yt-dlp -f "bv[height<=1080]+ba/b[height<=1080]" --restrict-filenames -o "source.%(ext)s" "URL"
# 720p max (smaller, faster)
yt-dlp -f "bv[height<=720]+ba/b[height<=720]" --restrict-filenames -o "source.%(ext)s" "URL"
# Audio only (for transcription-only workflows)
yt-dlp -x --audio-format wav --restrict-filenames -o "audio.%(ext)s" "URL"
Metadata Inspection
# Get full metadata as JSON (duration, title, chapters, available subs)
yt-dlp --dump-json "URL"
# Key fields: duration, title, description, chapters, subtitles, automatic_captions
YouTube Auto-Subtitles
# Download auto-generated subtitles in json3 format (word-level timing)
yt-dlp --write-auto-subs --sub-lang en --sub-format json3 --skip-download --restrict-filenames -o "source" "URL"
# Download manual subtitles if available
yt-dlp --write-subs --sub-lang en --sub-format srt --skip-download --restrict-filenames -o "source" "URL"
# List available subtitle languages
yt-dlp --list-subs "URL"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 475 lines · 28 tokens per session scan A 8367a34a9046
clip-hand-skill is a skill published in the GitHub repository RightNow-AI/openfang (18,163 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 4,990 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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