AI Marketing Skills is a collection of open-source workflows that help AI coding agents handle marketing and sales work, including growth experiments, pipeline management, content operations, outbound outreach, SEO, and finance analysis. It is intended for marketing and sales teams that want reusable agent-driven processes. The catalogue entries package these workflows as skills for compatible coding agents.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ericosiu/ai-marketing-skillsnpx agentmods add skills/ericosiu/ai-marketing-skills/video-caption-generatorWrote 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/ericosiu/ai-marketing-skills/video-caption-generator)<a href="https://agentmods.dev/skills/ericosiu/ai-marketing-skills/video-caption-generator"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/video-caption-generator/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/ericosiu/ai-marketing-skills/video-caption-generator"><img src="https://agentmods.dev/badge/skills/ericosiu/ai-marketing-skills/video-caption-generator.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 | $0.00000 | $0.00720 |
| Opus 5 | $0.00000 | $0.00360 |
| Sonnet 5 | $0.00000 | $0.00144 |
| Haiku 4.5 | $0.00000 | $0.00072 |
Grade A, and why
video-caption-generator 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (runs on skill start)
# Version check (silent if up to date)
python3 telemetry/version_check.py 2>/dev/null || true
# Telemetry opt-in (first run only, then remembers your choice)
python3 telemetry/telemetry_init.py 2>/dev/null || true
Privacy: This skill logs usage locally to
~/.ai-marketing-skills/analytics/. Remote telemetry is opt-in only. No code, file paths, or repo content is ever collected. Seetelemetry/README.md.
name: video-caption-generator description: > Transcribe short videos from a Google Drive folder, deduplicate by content, and generate social captions + YouTube/Facebook titles. Use when new video clips are dropped into a Drive folder and you need transcript, caption, and title for each unique clip. Trigger phrases: "process videos in drive", "transcribe new clips", "caption these videos", "generate titles for these clips".
Video Caption Generator
Processes new MP4s from a Google Drive folder: transcribes, deduplicates, generates captions + titles.
Drive Folder Setup
Configure your Google Drive folder IDs before first use:
| Folder | Purpose |
|---|---|
| Main / To Schedule | New clips are dropped here for processing |
| Scheduled | Already posted/scheduled clips (moved after publishing) |
| A/B | Title variants for later posting |
Set your folder IDs in folder-map.json or pass them directly via --folder-id.
Quick Run
python3 skills/video-caption-generator/scripts/process_videos.py \
--folder-id YOUR_FOLDER_ID
Processed video IDs are logged to processed_ids.json so already-seen videos are skipped on future runs.
A/B Variant Handling
Videos with identical transcripts but different filenames (e.g., 0411.mp4, 0411(1).mp4) are A/B title variants — same audio, different on-screen title. The script processes ALL variants (no dedup skipping) and tags them as A/B variants in the output.
Output Format
For each unique new clip, output:
What ships with it
3 files 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 · 86 lines · 0 tokens per session scan A d20cace03273
video-caption-generator is a skill published in the GitHub repository ericosiu/ai-marketing-skills (3,517 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 720 tokens. 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.
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