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 iart-ai/tiktok-video-skills --skill lower-thirdsgit clone --depth 1 https://github.com/iart-ai/tiktok-video-skillsWrote 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/iart-ai/tiktok-video-skills/lower-thirds)<a href="https://agentmods.dev/skills/iart-ai/tiktok-video-skills/lower-thirds"><img src="https://agentmods.dev/badge/skills/iart-ai/tiktok-video-skills/lower-thirds/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/iart-ai/tiktok-video-skills/lower-thirds"><img src="https://agentmods.dev/badge/skills/iart-ai/tiktok-video-skills/lower-thirds.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00109 | $0.02497 |
| Opus 5 | $0.00055 | $0.01248 |
| Sonnet 5 | $0.00022 | $0.00499 |
| Haiku 4.5 | $0.00011 | $0.00250 |
Grade A, and why
lower-thirds 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- lower-thirds — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lower Thirds
Build a clean, branded lower third — the name/role caption that lives in the bottom band of the frame — that animates in, holds long enough to read, and exits without stealing the shot. The craft is restraint: a crisp reveal, a strong type hierarchy, correct safe-area placement, and one template that drives a whole roster of speakers.
When to use
- Speaker/interview name tags, panel rosters, talking-head captions.
- Broadcast-style titles, news straps, podcast/webinar name plates.
- Templating one design across a list of names/titles → many clips (the payoff).
Anatomy
A lower third is two text lines plus a graphic bed, placed in the lower band:
| Element | Role | Type treatment |
|---|---|---|
| Name (primary) | Who | Largest, heaviest, tightest tracking |
| Role/title (secondary) | What/where | ~45–60% of name size, lighter weight, often a brand accent color |
| Bar / panel / accent | Reads against any background | Solid or 70–85% opacity; an accent rule ties to brand |
Keep it to two lines. A name line + role line is the whole job — extra lines erode the hierarchy and crowd the safe area.
Three rules that prevent cheap-looking titles
- Never hard-cut a title on or off. A bare appear/disappear reads as a mistake. Even a 12-frame fade or slide makes it feel produced.
- Stagger, don't slam. Animate the bar first, then the name, then the role, each offset by 3–6 frames. Everything arriving at once feels flat; a short cascade feels designed.
- Hold long enough to read twice. Roughly 3–5s on screen (read it aloud twice). Too short and it's missed; too long and it nags. Animate in/out, never mid-segment.
Enter & exit animations
Pick one motion language and reuse it. The most reliable, premium-reading reveals:
| Reveal | Feel | How |
|---|---|---|
| Slide + fade | Clean, default | Translate in ~24–40px while fading; ease-out on enter |
| Wipe bar | Broadcast | A bar scales/sweeps in (scaleX/clip), text fades behind it |
| Mask reveal | Premium | Clip text to a moving rectangle so letters "wipe on" |
What ships with it
2 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 · 147 lines · 109 tokens per session scan A 32969ab71dda
lower-thirds is a skill published in the GitHub repository iart-ai/tiktok-video-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 109 tokens to every session and 2,497 once invoked, about $0.0005 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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