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 caption-and-hashtagsgit 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/caption-and-hashtags)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/caption-and-hashtags"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/caption-and-hashtags/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/caption-and-hashtags"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/caption-and-hashtags.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 | $0.00055 | $0.00532 |
| Opus 5 | $0.00028 | $0.00266 |
| Sonnet 5 | $0.00011 | $0.00106 |
| Haiku 4.5 | $0.00006 | $0.00053 |
Grade A, and why
caption-and-hashtags 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
Caption & Hashtags
Write the caption, a tiered hashtag set, and a first comment that drives saves, follows, and reach.
When to use
The video's done — now you need the copy that gets it shared and the hashtags that get it found, without looking spammy.
What you'll need
What the reel is about, the platform, your niche, and the goal (saves / follows / comments / link). Optional: your handle and brand voice.
Instructions
Run this prompt:
You are my social copywriter. Write the post copy for this reel.
Reel: [what it's about] Platform: [Reels/TikTok/Shorts] Niche: [niche]
Goal: [saves / follows / comments / DMs]
Give me:
1. CAPTION — a strong first line (it's the only line shown before "more"), then 2-4 short lines of value, then one clear CTA. No hashtag soup in the caption.
2. HASHTAGS — 12-15, tiered: a few broad (1M+), several mid (100k-1M), several niche (<100k). Put them in the first comment, not the caption.
3. FIRST COMMENT — the hashtags + a question that sparks replies (comments boost reach).
4. ALT TEXT — one accessible description of the video.
Match the niche's language. No emojis-as-bullets unless on-brand.
Obsidian memory tip: With your vault connected (Filesystem MCP), ask Claude to "reuse the hashtag sets and CTA style from my best-saved posts." Your proven tags beat a generic list.
Tip: The first line of the caption is a second hook. Make it earn the "…more" tap.
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 · 51 lines · 55 tokens per session scan A b0ecf046a871
caption-and-hashtags is a skill published in the GitHub repository Ootto-AI/claude-content-skills (30 stars, last pushed 20d ago), licensed MIT. It adds 55 tokens to every session and 532 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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Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.