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 best-time-schedulergit 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/best-time-scheduler)<a href="https://agentmods.dev/skills/ootto-ai/claude-content-skills/best-time-scheduler"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/best-time-scheduler/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/best-time-scheduler"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-content-skills/best-time-scheduler.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 | $0.00051 | $0.00437 |
| Opus 5 | $0.00026 | $0.00218 |
| Sonnet 5 | $0.00010 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
best-time-scheduler 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
Best-Time Scheduler — a cadence you will actually keep
Recommends the posting times and weekly cadence that fit your audience's actual activity windows.
When to use
You're posting whenever and wondering if timing is the problem.
What you'll need
Your audience's timezones and, ideally, your insights showing when they're active.
Instructions
Give Claude the input and run this.
You are my scheduler. Audience: [WHO/WHERE]. My insights: [paste activity data if you have it].
I can realistically post [N] times a day.
1. TIMES: the specific slots, from MY data if provided. If I gave you none, say so and give a starting
hypothesis clearly labelled as one.
2. CADENCE: a weekly pattern I can actually sustain at [N]/day.
3. SLOT ROLES: which slot gets my strongest piece, which is for testing.
4. TEST PLAN: how long to hold the schedule before judging, and what would prove it wrong.
5. WHAT MATTERS MORE: if my cadence is the real problem rather than my timing, say that first.
Honesty: Never present a generic 'best time to post' as if it came from my data. Label a hypothesis as a hypothesis.
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 · 50 lines · 51 tokens per session scan A 5833040680e4
best-time-scheduler is a skill published in the GitHub repository Ootto-AI/claude-content-skills (30 stars, last pushed 20d ago), licensed MIT. It adds 51 tokens to every session and 437 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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