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 bradautomates/head-of-content --skill video-content-analyzergit clone --depth 1 https://github.com/bradautomates/head-of-contentWrote 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/bradautomates/head-of-content/video-content-analyzer)<a href="https://agentmods.dev/skills/bradautomates/head-of-content/video-content-analyzer"><img src="https://agentmods.dev/badge/skills/bradautomates/head-of-content/video-content-analyzer/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/bradautomates/head-of-content/video-content-analyzer"><img src="https://agentmods.dev/badge/skills/bradautomates/head-of-content/video-content-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00113 | $0.01040 |
| Opus 5 | $0.00056 | $0.00520 |
| Sonnet 5 | $0.00023 | $0.00208 |
| Haiku 4.5 | $0.00011 | $0.00104 |
Grade A, and why
video-content-analyzer 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 12d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Content Analyzer
Analyze short-form videos with Gemini AI to extract hooks, content structure, delivery style, and CTA strategies.
Prerequisites
GEMINI_API_KEYenvironment variablegoogle-genaiandrequestsPython packages
Usage
python3 .claude/skills/video-content-analyzer/scripts/analyze_videos.py \
--input outliers.json \
--output video-analysis.json \
--platform instagram \
--max-videos 5
Parameters
| Arg | Description |
|---|---|
--input, -i |
Input JSON file with outlier posts (required) |
--output, -o |
Output JSON file for results (required) |
--platform, -p |
Platform: instagram, tiktok, or youtube (default: instagram) |
--max-videos, -n |
Max videos to analyze (default: 5) |
Input Format
Accepts outlier JSON from platform-specific research skills. Handles both formats:
- Direct list:
[{post1}, {post2}, ...] - Wrapped:
{"outliers": [{post1}, {post2}, ...]}
The script automatically maps platform-specific fields:
| Platform | Video URL Fields | Caption | Username |
|---|---|---|---|
videoUrl |
caption |
ownerUsername |
|
| TikTok | videoUrl, video_url, webVideoUrl |
text, desc |
authorUsername |
| YouTube | videoUrl, url |
title |
channelTitle |
TikTok Note: The Apify TikTok Scraper returns webVideoUrl (the TikTok page URL) rather than a direct video download URL. Gemini will attempt to analyze from this page URL.
Output
Returns JSON array with analysis for each video:
[
{
"post_id": "ABC123",
"username": "creator",
"url": "https://...",
"platform": "instagram",
"likes": 50000,
"comments": 1200,
"views": 500000,
"analysis": {
"hook": {
"technique": "pattern-interrupt",
"opening_line": "Stop scrolling if you...",
"attention_grab": "Creates urgency and targets specific audience",
"replicable_formula": "Stop scrolling if you [pain point]"
},
"content_structure": {
"format": "problem-solution",
"sections": [...],
"pacing": "fast",
"retention_techniques": ["pattern interrupts", "text overlays"]
},
"delivery_style": {
"speaking": "direct-to-camera",
"energy": "high-energy",
"text_overlays": true,
"visual_style": "quick cuts with b-roll"
},
"cta_strategy": {
"type": "follow",
"cta_text": "Follow for more tips",
"placement": "end"
},
"why_it_works": "..."
}
}
]
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.
- 12d ago First seen · 130 lines · 113 tokens per session scan A 0271821f291b
video-content-analyzer is a skill published in the GitHub repository bradautomates/head-of-content (232 stars, last pushed 7mo ago), licensed MIT. It adds 113 tokens to every session and 1,040 once invoked, about $0.0006 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.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.