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 agentmods add skills/nicepkg/ai-workflow/video-title-optimizernpx skills add nicepkg/ai-workflow --skill video-title-optimizergit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/video-title-optimizer)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/video-title-optimizer"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/video-title-optimizer.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.01934 |
| Opus 5 | $0.00026 | $0.00967 |
| Sonnet 5 | $0.00010 | $0.00387 |
| Haiku 4.5 | $0.00005 | $0.00193 |
Grade A, and why
video-title-optimizer 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 yesterday.
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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Title Optimizer
Create click-worthy titles that rank well and drive views.
Title Anatomy
[POWER WORD] + [TOPIC] + [BENEFIT/CURIOSITY] + [SPECIFICITY]
Example: "INSANE Productivity System That DOUBLED My Output (After Failing 10 Times)"
[Power] [Topic] [Benefit] [Specificity/Story]
Platform-Specific Guidelines
YouTube (Long-form)
Character Limit: 100 chars (60-70 visible in search)
Optimal Length: 50-60 characters
Keywords: Front-load important keywords
Format: Mix of curiosity + clarity
✅ Good: "I Tried [Thing] for 30 Days - Here's What Happened"
✅ Good: "How I [Achieved Result] (Step-by-Step Guide)"
❌ Bad: "My Video About [Topic] | Part 1 | 2025 | HD"
YouTube Shorts
Character Limit: 100 chars
Optimal: 30-50 characters (shorter is better)
Style: Punchy, immediate hook
✅ Good: "This Trick Changes EVERYTHING"
✅ Good: "Wait for it... 😱"
❌ Bad: "Part 47 of my series on productivity tips"
TikTok
Caption Limit: 4000 chars (but shorter performs better)
Title Portion: First 50-80 chars most important
Hashtags: Include 3-5 relevant hashtags
✅ Good: "The $5 gadget that replaced my $500 setup 😳 #tech #gadgets #fyp"
❌ Bad: "#fyp #foryou #viral #trending #tech #gadget #cool #awesome"
Title Formulas (Proven CTR)
1. Number + Adjective + Keyword + Promise
"7 INSANE Productivity Hacks That Actually Work"
"5 BRUTAL Truths About [Topic] Nobody Tells You"
"12 GENIUS Ways to [Achieve Outcome]"
2. How I + Result + Timeframe
"How I Made $10K in 30 Days as a Beginner"
"How I Lost 20 Pounds Without Dieting"
"How I Learned [Skill] in Just 3 Months"
3. Why + Surprising Claim
"Why [Common Advice] Is Actually Wrong"
"Why I Stopped [Popular Thing] (And You Should Too)"
"Why [Expert/Celebrity] Is Completely Wrong About [Topic]"
4. I Tried X for Y - Result
"I Tried [Thing] for 30 Days - Life Changing Results"
"I Ate [Diet] for a Week - What Happened Shocked Me"
"I Used [Product] for 6 Months - Honest Review"
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.
- yesterday First seen · 267 lines · 52 tokens per session scan A 5540efc31a2b
video-title-optimizer is a skill published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 52 tokens to every session and 1,934 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 2026-09-03.
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