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 squadcodercom/squadcoder --skill video-use-best-practicesgit clone --depth 1 https://github.com/squadcodercom/squadcoderWrote 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/squadcodercom/squadcoder/video-use-best-practices)<a href="https://agentmods.dev/skills/squadcodercom/squadcoder/video-use-best-practices"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/video-use-best-practices/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/squadcodercom/squadcoder/video-use-best-practices"><img src="https://agentmods.dev/badge/skills/squadcodercom/squadcoder/video-use-best-practices.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00198 | $0.09308 |
| Opus 5.5 | $0.00079 | $0.03723 |
| Sonnet 5.5 | $0.00040 | $0.01862 |
| Haiku 4.5 | $0.00020 | $0.00931 |
Grade A, and why
video-use-best-practices 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Symptom: `captions-only.sh` logs `WARN: gap re-transcribe returned HTTP <code>, skipping` and that window stays uncaptioned. Cause: Scribe v2 occasionally rate-limits, times out, or rejects very short or mid-word windows How it starts
The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
video-use Best Practices (Hebrew)
Problem
video-use ships with a strong English-first default: the bundled SUB_FORCE_STYLE uses Helvetica (no Hebrew glyphs, renders as boxes), 2-word UPPERCASE chunks (Hebrew has no uppercase), and the filler-removal step assumes an English filler lexicon while Scribe itself does not tag fillers per-word in any language. Hebrew creators using video-use hit the same three walls every time: missing-glyph boxes burned into the final video, captions that look wrong because UPPERCASE doesn't exist in Hebrew, and a "filler removal" step that leaves "אֶה", "כאילו", "יעני", and friends in. On macOS there's also a fourth wall: libass + SRT BiDi reordering is unreliable even with a fully-built libass, so Hebrew sentences render as characters drawn left-to-right in source byte order rather than in proper RTL visual order. This skill is the Hebrew-specific override layer on top of video-use's 12 Hard Rules. None of the upstream rules change, only the style values, font fallback chain, filler lexicon, caption-burn recipe, and self-eval frame checks.
Pricing you should understand before you start
video-use is free; underlying services are paid. Mode determines cost.
| Mode | What | Best for | Cost / 1hr video |
|---|---|---|---|
A. Captions-only (scripts/captions-only.sh) |
Transcribe + burn Hebrew captions on original. No cuts. | Lectures, webinars, podcast videos. | ~$1-3 total |
| B. Full cut (default video-use flow) | Inventory → strategy → cut → render → self-eval. | Teaser from raw footage; multi-take selection. | ~$25-60 (1hr); $120-300 (3hr). Scales super-linearly. |
Per-unit: Scribe ~$0.40/hr (paid). Claude tokens depend on mode (above). Local FFmpeg/libass rendering is $0.
Free-tier reality check (the "$1-3" number assumes paid Starter, $5/mo). ElevenLabs free tier is 10,000 characters/month, not hours. A 10-minute Hebrew talking-head burns ~7,000-8,000 characters in one transcription. Gap-recovery (see Step 8) re-transcribes the dropped window, which counts again. So on free tier you realistically get ~1 long Hebrew video/month before the quota wall. If the user is non-technical and "just wants captions on this one lecture", warn them upfront.
What ships with it
11 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.
- metadata.json 3.6 KB
- references/captions-only-tuning.md 4.7 KB
- references/domain-checklist.md 8.0 KB
- references/hebrew-filler-words.md 8.3 KB
- references/macos-ffmpeg-setup.md 4.3 KB
- references/quick-test.md 2.4 KB
- references/sub-force-style-hebrew.md 6.1 KB
- scripts/burn-hebrew-captions.sh 13 KB runs code
- scripts/captions-only.sh 13 KB runs code
- scripts/install-hebrew-fonts.sh 4.4 KB runs code
- SKILL_HE.md 44 KB
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 · 364 lines · 198 tokens per session scan A 25ecd319e303
video-use-best-practices is a skill published in the GitHub repository squadcodercom/squadcoder (12 stars, last pushed 3mo ago), licensed MIT. It adds 198 tokens to every session and 9,308 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-03.
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