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 linzzzzzz/openclip --skill video-clip-extractorgit clone --depth 1 https://github.com/linzzzzzz/openclipWrote 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/linzzzzzz/openclip/video-clip-extractor)<a href="https://agentmods.dev/skills/linzzzzzz/openclip/video-clip-extractor"><img src="https://agentmods.dev/badge/skills/linzzzzzz/openclip/video-clip-extractor/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/linzzzzzz/openclip/video-clip-extractor"><img src="https://agentmods.dev/badge/skills/linzzzzzz/openclip/video-clip-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 87 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- medium Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Privilege Escalation · line 63 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 192 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 | $0.00128 | $0.02880 |
| Opus 5.5 | $0.00051 | $0.01152 |
| Sonnet 5.5 | $0.00026 | $0.00576 |
| Haiku 4.5 | $0.00013 | $0.00288 |
Grade B, and why
video-clip-extractor scanned grade B 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 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- Ubuntu: `sudo apt install ffmpeg` How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Clip Extractor Skill
Run the video orchestrator to process videos and extract engaging highlights.
When Triggered
- Get the source — if the user didn't provide a video URL or file path, ask for it.
- Clarify intent (optional) — if the user wants clips focused on a specific topic, capture it for
--user-intent. If unclear, ask: "Any specific topic or moments to focus on? (e.g. 'funny moments', 'key arguments')" - Check environment — does
video_orchestrator.pyexist in the current directory? If yes, run directly. Otherwise use the global install at~/.local/share/openclip. - Verify prerequisites — check ffmpeg is installed and at least one API key is set. Warn if missing before running.
- Run the command and stream output to user.
- Report results — after completion, list the generated clips with timestamps and titles.
Setup (first use only)
Before running, determine the execution context:
- Inside openclip repo — if
video_orchestrator.pyexists in the current directory, skip setup and run directly. - Global install — if
~/.local/share/openclipdoes not exist, run these steps:
Prerequisites: git and uv must be installed.
- Install uv if missing: macOS:
brew install uv· Linux/Windows:pip install uv
git clone https://github.com/linzzzzzz/openclip.git ~/.local/share/openclip
cd ~/.local/share/openclip && uv sync
To update openclip later:
git -C ~/.local/share/openclip pull && cd ~/.local/share/openclip && uv sync
Execution
If inside the openclip repo (current directory contains video_orchestrator.py):
uv run python video_orchestrator.py [options] <source>
If running globally (from any other directory):
cd ~/.local/share/openclip && uv run python video_orchestrator.py -o "$OLDPWD/processed_videos" [options] <source>
$OLDPWD captures the user's original directory so clips are saved there, not inside the openclip install.
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 · 198 lines · 128 tokens per session scan B d53d38beb31e
video-clip-extractor is a skill published in the GitHub repository linzzzzzz/openclip (576 stars, last pushed 2mo ago), licensed MIT. It adds 128 tokens to every session and 2,880 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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