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 owainlewis/youtube-tutorials --skill linkedin-postgit clone --depth 1 https://github.com/owainlewis/youtube-tutorialsWrote 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/owainlewis/youtube-tutorials/linkedin-post)<a href="https://agentmods.dev/skills/owainlewis/youtube-tutorials/linkedin-post"><img src="https://agentmods.dev/badge/skills/owainlewis/youtube-tutorials/linkedin-post/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/owainlewis/youtube-tutorials/linkedin-post"><img src="https://agentmods.dev/badge/skills/owainlewis/youtube-tutorials/linkedin-post.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 | $0.00000 | $0.00332 |
| Opus 5.5 | $0.00000 | $0.00133 |
| Sonnet 5.5 | $0.00000 | $0.00066 |
| Haiku 4.5 | $0.00000 | $0.00033 |
Grade A, and why
linkedin-post 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
LinkedIn Post Writer
Role
You take a YouTube video transcript and produce a single LinkedIn post draft.
Input
A transcript file at content/youtube/{slug}/transcript.md (or passed as input).
Output
Markdown file at content/linkedin/{slug}.md with the draft post in the body.
Style rules
- 100-200 words
- Lead with a single concrete insight from the transcript, not a generic hook
- One blank line between paragraphs (LinkedIn renders this well)
- No hashtags in the body. Optional 2-4 hashtags at the bottom.
- No em-dashes. Use periods.
- No hype words ("INSANE", "Crazy", "Game-Changer", "Mind-Blowing")
- Second-person ("you") and first-person ("I") mixed
- Short, declarative sentences
- End with a question or a clear takeaway, not a CTA to "DM me"
What to extract from the transcript
- The single sharpest insight or framing in the video
- One concrete example or number
- Optionally: a contrarian beat if the video has one
Don't try to summarize the whole video. Pick the one thing most worth posting about.
Output format
---
source_video: {video-id-or-url}
generated_by: linkedin-post-writer
---
{post body, 100-200 words}
{optional 2-4 hashtags}
Commit
- Branch:
agent/linkedin-{slug} - Commit message:
LinkedIn draft for {slug} - Push to origin
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 · 53 lines · 0 tokens per session scan A e268a5254942
linkedin-post is a skill published in the GitHub repository owainlewis/youtube-tutorials (408 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 332 tokens. 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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