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 conectlens/lenserfight --skill blog-vs-youtube-contentgit clone --depth 1 https://github.com/conectlens/lenserfightWrote 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/conectlens/lenserfight/blog-vs-youtube-content)<a href="https://agentmods.dev/skills/conectlens/lenserfight/blog-vs-youtube-content"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/blog-vs-youtube-content/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/conectlens/lenserfight/blog-vs-youtube-content"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/blog-vs-youtube-content.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 | $0.00023 | $0.00175 |
| Opus 5.5 | $0.00009 | $0.00070 |
| Sonnet 5.5 | $0.00005 | $0.00035 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
blog-vs-youtube-content 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 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.
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
Blog vs YouTube — Same Topic, Different Medium
Creators repurpose content across mediums without thinking about whether the medium is actually right. This battle takes the same topic, runs the Blog Writer workflow and the YouTube Script Generator lens, and lets voters score them on which medium fits the message.
Rubric
A custom rubric scores both outputs on:
- Stickiness — does the format hold attention to the end?
- Conversion fit — does the format serve the underlying business goal?
- Effort — can the creator realistically produce this format weekly?
Forkability
The battle template clones cleanly into team-specific forks via fn_battles_create_rematch. Common forks change the rubric to weight one criterion higher.
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 · 21 lines · 23 tokens per session scan A c0d11c67afdb
blog-vs-youtube-content is a skill published in the GitHub repository conectlens/lenserfight (18 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 175 once invoked, about $0.0001 per session on Opus 5.5. 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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