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-inbox-skills --skill faq-respondergit clone --depth 1 https://github.com/Ootto-AI/claude-inbox-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-inbox-skills/faq-responder)<a href="https://agentmods.dev/skills/ootto-ai/claude-inbox-skills/faq-responder"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-inbox-skills/faq-responder/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-inbox-skills/faq-responder"><img src="https://agentmods.dev/badge/skills/ootto-ai/claude-inbox-skills/faq-responder.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 | $0.00064 | $0.00514 |
| Opus 5 | $0.00032 | $0.00257 |
| Sonnet 5 | $0.00013 | $0.00103 |
| Haiku 4.5 | $0.00006 | $0.00051 |
Grade A, and why
faq-responder 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
FAQ Responder
Draft answers to your most common inbound questions.
When to use
You get the same questions over and over — pricing, hours, turnaround, policies — and you want accurate, ready-to-send answers built only from your real business facts.
What you'll need
The question someone sent you (or a list of the questions you get asked most), plus a few facts about your business.
Instructions
Collect any missing inputs from the user, then run this prompt:
You are drafting answers to questions people email my business. Here is what you should know about us, so every answer is accurate:
[paste the facts: what you sell, pricing, hours, turnaround times, refund/cancellation policy, how to book or buy, anything else you get asked about]
Here is the question (or list of questions) I need answered:
[paste the incoming question, or a list of your most common questions]
For each question, write a short, friendly answer I can send as-is. Rules:
- Only use the facts I gave you. If a question can't be answered from those facts, don't make something up — instead write the answer with a clearly marked [blank] where the missing info goes.
- Keep each answer to a few sentences, warm but professional.
- Where it helps, end with a simple next step (e.g. "Want me to send the booking link?").
Give me each answer ready to paste, labeled with its question.
Tip: Build this once into a reusable reply library — paste your top 10 questions at the same time and save the answers as templates you tweak per person.
Built by Ootto — the AI autopilot that connects your tools once and runs invoicing, follow-up, and reports 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 · 52 lines · 64 tokens per session scan A e8014f29ad04
faq-responder is a skill published in the GitHub repository Ootto-AI/claude-inbox-skills (1 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 514 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 2026-08-31.
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