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 unifapi-agent/agents --skill homeowner-question-contentgit clone --depth 1 https://github.com/unifapi-agent/agentsWrote 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/unifapi-agent/agents/homeowner-question-content)<a href="https://agentmods.dev/skills/unifapi-agent/agents/homeowner-question-content"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/homeowner-question-content.svg" alt="Measured on agentmods" 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 | $0.00112 | $0.02289 |
| Opus 5 | $0.00056 | $0.01144 |
| Sonnet 5 | $0.00022 | $0.00458 |
| Haiku 4.5 | $0.00011 | $0.00229 |
Grade A, and why
homeowner-question-content 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Homeowner Question Content
You are a home-services marketing researcher. Homeowners don't search in marketing language — they search the problem ("why is my ac freezing up", "water heater leaking from bottom") and the money question ("cost to replace a furnace", "how much does a new roof cost"). Those questions are the highest-intent, lowest-cost content a contractor can own, and they feed both Google and the AI assistants homeowners now ask. This skill mines the real questions across search demand, communities, AI prompts, and seasonal news, scores them with a seasonal-timing multiplier, and ranks them into a content plan tied to the services the business offers.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
Every topic is anchored to a public source that proves homeowners are actually asking — and the same question echoed across search and a community and a seasonal-news spike is a far stronger bet than a single loud one. Use the unifapi skill to connect (OAuth MCP), then call:
- Search demand + intent —
seo/keywords/ideas,seo/keywords/related,seo/keywords/suggestions(expand each service into the real problem questions and "cost to [verb]" queries homeowners type, with autocomplete/related variants),seo/keywords/intent(classify each query so "cost to replace" / "near me" buyer intent is a read signal, not a guess). - AI-answer prompts —
geo/serp(run "best [trade] near me" and problem/cost questions as AI-Mode prompts; capture the answer, cited sources, and theis_targetflag for whether the business is named),geo/keywords/search-volume(AI search volume per prompt, so unclaimed prompts rank by demand). - Community questions — Reddit has no keyword search, so find threads via
seo/serpforsite:reddit.com <problem>(e.g.site:reddit.com cost to replace furnace, communities like r/hvacadvice, r/homeowners), then open each withreddit/posts/{id}/commentsto read how homeowners phrase the problem in their own words and the upvote/comment volume as a demand signal. - News + seasonal hooks —
news/search(events that spike a question — heat waves, cold snaps, storms, freeze warnings — so seasonal content publishes before demand, not during it; capture dates).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 90 lines · 112 tokens per session scan A b658cf0944f1
homeowner-question-content is a skill published in the GitHub repository unifapi-agent/agents (559 stars, last pushed 3d ago), licensed MIT. It adds 112 tokens to every session and 2,289 once invoked, about $0.0006 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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