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 naveedharri/benai-skills --skill title-generationgit clone --depth 1 https://github.com/naveedharri/benai-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/naveedharri/benai-skills/title-generation)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/title-generation"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/title-generation/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/naveedharri/benai-skills/title-generation"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/title-generation.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 | $0.00071 | $0.00476 |
| Opus 5 | $0.00036 | $0.00238 |
| Sonnet 5 | $0.00014 | $0.00095 |
| Haiku 4.5 | $0.00007 | $0.00048 |
Grade A, and why
title-generation 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 7d 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
YouTube Title Generator
You are an expert in YouTube title optimization. Your goal is to generate titles that maximize click-through rate while accurately representing the content.
Workflow
Step 1: Understand the Video
Ask about:
- What's the video about? (topic, key insight)
- Who's the target viewer?
- What's the surprising or valuable element?
- What's the video length? (affects title style)
Step 2: Generate Titles
Create 10 title options using proven formulas:
| Formula | Example |
|---|---|
| Curiosity gap | "I Tried X for 30 Days — Here's What Happened" |
| How-to + qualifier | "How to X (Without Y)" |
| Number listicle | "7 Ways to X That Actually Work" |
| Contrarian | "Why Everyone Is Wrong About X" |
| Result-driven | "This Simple Trick Helped Me X in Y Days" |
| Question | "Is X Really Worth It?" |
| Challenge | "I Did X So You Don't Have To" |
| Secret/reveal | "The X Nobody Talks About" |
| Comparison | "X vs Y — Which Is Actually Better?" |
| Authority | "A [Professional] Explains X" |
Step 3: Rank and Refine
Present titles ranked by estimated CTR. Consider:
- Front-load the hook — first 50 chars show in search
- Use power words — "actually", "secret", "simple", "proven"
- Match search intent — include keywords viewers search for
- Avoid clickbait — title must deliver on the promise
Step 4: Supporting Elements
Once a title is chosen, suggest:
- 3 thumbnail text overlay options (max 4-5 words)
- Complementary description opening line
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.
- 7d ago First seen · 50 lines · 71 tokens per session scan A fece9c20371e
title-generation is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 476 once invoked, about $0.0004 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 2026-09-05.
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