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 coreyhaines31/makerskills --skill watch-videogit clone --depth 1 https://github.com/coreyhaines31/makerskillsWrote 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/coreyhaines31/makerskills/watch-video)<a href="https://agentmods.dev/skills/coreyhaines31/makerskills/watch-video"><img src="https://agentmods.dev/badge/skills/coreyhaines31/makerskills/watch-video/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/coreyhaines31/makerskills/watch-video"><img src="https://agentmods.dev/badge/skills/coreyhaines31/makerskills/watch-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Data Exfiltration · line 206 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 219 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00219 | $0.03991 |
| Opus 5 | $0.00110 | $0.01996 |
| Sonnet 5 | $0.00044 | $0.00798 |
| Haiku 4.5 | $0.00022 | $0.00399 |
Grade A, and why
watch-video scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
FILE_URI=$(curl -s -X POST "https://generativelanguage.googleapis.com/upload/v1beta/files?key=$GEMINI_API_KEY" \ How it starts
The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/watch-video — Transcribe and analyze any video at the depth you choose
Replaces and broadens the prior youtube-transcript skill. YouTube is now one of many sources; depth is user-controlled.
Step 1 — Parse input
Accept:
- YouTube: full URL,
youtu.be/<id>,youtube.com/shorts/<id>, raw 11-char ID - Loom:
loom.com/share/<id>orloom.com/embed/<id> - Vimeo:
vimeo.com/<id> - Riverside: download URL or local file
- Zoom: local
.mp4from a downloaded recording - X / IG / TikTok video: URL — defers to
social-fetchfor metadata, uses yt-dlp for the file - Local file: any path to an
.mp4/.mov/.webm/.mkv
Detect source from URL pattern or file extension. If ambiguous, ask.
Step 2 — Parse depth mode
| Invocation | Mode | What you get |
|---|---|---|
/watch-video <url> |
transcript (default) | Clean text, metadata, optional chapters |
/watch-video <url> transcript |
transcript | Same as default |
/watch-video <url> visual |
visual | Transcript + frames at intervals + Claude vision pass identifying key moments |
/watch-video <url> multimodal |
multimodal | Native video to Gemini (if $GEMINI_API_KEY), else dense Claude vision frame-by-frame |
If the depth isn't specified and the video is >10 minutes, ask before defaulting (visual/multimodal cost real money on long videos).
Step 3 — Pull metadata
For URL sources, use yt-dlp:
yt-dlp --print "%(title)s|%(uploader)s|%(duration_string)s|%(upload_date>%Y-%m-%d)s|%(description)s" \
--print "%(chapters)j" --skip-download "<url>"
Capture: title, uploader/channel, duration, upload date, description (first paragraph), chapters (JSON or null).
For local files, use ffprobe:
ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 "<file>"
Step 4 — Build workdir
~/Documents/videos/<source>-<slug>-<date>/
Where:
source:youtube/loom/vimeo/riverside/zoom/localslug: kebab-case of title (first 4–6 words, max 50 chars)date:YYYY-MM-DD
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.
- 11d ago First seen · 322 lines · 219 tokens per session scan A 11c3638c9872
watch-video is a skill published in the GitHub repository coreyhaines31/makerskills (803 stars, last pushed 5d ago), licensed MIT. It adds 219 tokens to every session and 3,991 once invoked, about $0.0011 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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