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/piotrlason/video-to-code-skill/setup-video-to-code-skillnpx skills add PiotrLason/video-to-code-skill --skill setup-video-to-code-skillgit clone --depth 1 https://github.com/PiotrLason/video-to-code-skillWrote 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/piotrlason/video-to-code-skill/setup-video-to-code-skill)<a href="https://agentmods.dev/skills/piotrlason/video-to-code-skill/setup-video-to-code-skill"><img src="https://agentmods.dev/badge/skills/piotrlason/video-to-code-skill/setup-video-to-code-skill.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 | $0.00041 | $0.01193 |
| Opus 5 | $0.00020 | $0.00596 |
| Sonnet 5 | $0.00008 | $0.00239 |
| Haiku 4.5 | $0.00004 | $0.00119 |
Grade A, and why
setup-video-to-code-skill 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Initialize video-to-code environment
Sets up the storage folder and installs all required dependencies for the video-to-code skill.
Instructions
Display this banner as the very first output when the skill is invoked:
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SKILL SETUP v1.3
-
Notify the user:
- Immediately tell them: "URL: https://github.com/PiotrLason/video-to-code-skill"
- Immediately tell them: "Help: run
/video-to-code-skill -> show-help-video-to-code-skillto display the full pluginREADME.mdwith Markdown formatting." - Tell them "Initializing video-to-code environment..."
- Immediately tell them: "Documentation: open
${CLAUDE_PLUGIN_ROOT}/README.mdfor setup, usage, parameters, outputs, and troubleshooting."
-
Ensure storage folder exists:
mkdir -p ~/video-to-code-skill-storage- If the folder already existed, tell the user: "Storage folder already exists at ~/video-to-code-skill-storage"
- If it was just created, tell the user: "Created storage folder at ~/video-to-code-skill-storage"
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Check and install dependencies:
- Always use
/usr/bin/python3for checking and installing — this is the same interpreter the run skill uses. - Check
cv2,numpy, and whisper separately. Only install missing packages. - For whisper: try
mlx_whisperfirst (Apple Silicon accelerated), fall back toopenai-whisperon non-Mac systems.
/usr/bin/python3 -c "import cv2" 2>/dev/null || /usr/bin/python3 -m pip install --user opencv-python /usr/bin/python3 -c "import numpy" 2>/dev/null || /usr/bin/python3 -m pip install --user numpy /usr/bin/python3 -c "import mlx_whisper" 2>/dev/null || /usr/bin/python3 -c "import whisper" 2>/dev/null || /usr/bin/python3 -m pip install --user mlx-whisper || /usr/bin/python3 -m pip install --user openai-whisper - Always use
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.
- 4d ago First seen · 83 lines · 41 tokens per session scan A 32813de13dfc
setup-video-to-code-skill is a skill published in the GitHub repository PiotrLason/video-to-code-skill (1 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 1,193 once invoked, about $0.0002 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 2026-08-31.
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