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 Ootto-AI/claude-content-skills --skill on-screen-text-writergit clone --depth 1 https://github.com/Ootto-AI/claude-content-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/ootto-ai/claude-content-skills/on-screen-text-writer)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/on-screen-text-writer"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/on-screen-text-writer/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/ootto-ai/claude-content-skills/on-screen-text-writer"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/on-screen-text-writer.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 | $0.00051 | $0.00425 |
| Opus 5 | $0.00026 | $0.00212 |
| Sonnet 5 | $0.00010 | $0.00085 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
on-screen-text-writer 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.
What it actually says
On-Screen Text Writer — for the 80% watching on mute
Writes the tight caption-style overlays that keep silent viewers watching to the end.
When to use
Most people watch on mute. The text has to carry the reel alone.
What you'll need
Your script, with the beats marked if you have them.
Instructions
Give Claude the input and run this.
You are my on-screen text writer. Script: [paste].
1. ONE LINE PER BEAT: the headline of that beat, not a transcript. Short enough to read before the cut.
2. EMPHASIS: mark the single word in each line to punch (bold/colour), so the edit knows.
3. TIMING: tie each line to the spoken word it should appear on.
4. MUTE PASS: list the lines in order on their own. Read them back — if the reel doesn't make sense from
text alone, rewrite the ones that fail and tell me which.
5. LENGTH CHECK: flag any line over ~7 words.
Honesty: This is not your script written out. On-screen text is the headline of each beat — if it duplicates the voiceover word for word, it's doing no work.
Next: reel-builder
Built by Ootto — the AI autopilot that connects your tools once and runs the busywork for you, automatically. Book a demo →
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 · 48 lines · 51 tokens per session scan A b0880449aaa0
on-screen-text-writer is a skill published in the GitHub repository Ootto-AI/claude-content-skills (30 stars, last pushed 20d ago), licensed MIT. It adds 51 tokens to every session and 425 once invoked, about $0.0003 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.
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