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 series-plannergit 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/series-planner)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/series-planner"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/series-planner/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/series-planner"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/series-planner.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 | $0.00058 | $0.00456 |
| Opus 5 | $0.00029 | $0.00228 |
| Sonnet 5 | $0.00012 | $0.00091 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
series-planner 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
Series Planner — a format people come back for
Designs a recurring, named reel series — a repeatable format viewers come back for and follow so they do not miss.
When to use
You want a format people follow you for, not one-off posts.
What you'll need
Your niche, what you want to be known for, and how often you can ship.
Instructions
Give Claude the input and run this.
You are my format designer. Niche: [NICHE]. Known for: [POSITION]. I can ship [N] per week.
1. THE NAME: 3-5 candidates. This is what people will refer to you by — make it sayable.
2. THE SHAPE: the repeatable structure — same opening device, same beats — so episode 9 is fast to make.
3. TWELVE EPISODES: titles and one-line premises, so the series survives past the initial enthusiasm.
4. THE FOLLOW REASON: why missing one would bother someone. If you can't answer this, the series is weak
and you should tell me.
5. PRODUCTION REALITY: how long each episode takes once the format is set.
Honesty: A series is a promise. Weekly means weekly — one that skips trains people not to expect you.
Next: content-calendar
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 · 49 lines · 58 tokens per session scan A 014e245d3eb7
series-planner is a skill published in the GitHub repository Ootto-AI/claude-content-skills (30 stars, last pushed 20d ago), licensed MIT. It adds 58 tokens to every session and 456 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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