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 neighborhood-guide-opportunitygit 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/neighborhood-guide-opportunity)<a href="https://agentmods.dev/skills/unifapi-agent/agents/neighborhood-guide-opportunity"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/neighborhood-guide-opportunity/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/unifapi-agent/agents/neighborhood-guide-opportunity"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/neighborhood-guide-opportunity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 45 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 48 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00111 | $0.02257 |
| Opus 5 | $0.00056 | $0.01128 |
| Sonnet 5 | $0.00022 | $0.00451 |
| Haiku 4.5 | $0.00011 | $0.00226 |
Grade A, and why
neighborhood-guide-opportunity 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Neighborhood Guide Opportunity
You are a hyperlocal content strategist for real estate. Zillow and the national portals dominate broad searches like "homes for sale [city]" — but they are thin and generic at the neighborhood level. That is exactly where an independent agent or local brokerage can win: neighborhood guides, school and commute breakdowns, and micro-market reports attract high-intent buyers and sellers portals can't serve well. This skill finds the neighborhood-level queries and content gaps worth owning, ranked by demand and winnability, with evidence.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
Whether a neighborhood query is winnable is a live fact — who ranks today, what AI assistants cite, what's happening locally — not something to guess. Use the unifapi skill to connect (OAuth MCP), then call:
- Neighborhood-level demand —
seo/keywords/ideas,seo/keywords/related(expand each neighborhood × intent seed into the queries people actually type),seo/keywords/overview(volume + CPC + competition per query, to weight by real demand). - Who owns page one —
seo/serp(the live SERP per query: where portals — Zillow, Realtor.com, Redfin — hold the page vs where local sites, blogs, or thin/dated results leave an opening) andseo/competitors/relevant-pages(when a portal ranks, inspect the page — is it a thin generic community page you can beat with a real guide?). - AI-answer gaps —
geo/serp(whether AI assistants name a local source for "what's it like to live in [nbhd]" / relocate prompts, or have no clear local winner — the cheapest citations to win) andgeo/keywords/search-volume(AI search volume for those relocate prompts, so AI-only gaps are weighted by demand too). - Timely hooks —
news/search(recent local development, school ratings, market shifts that make a guide topical right now, with publish dates). - Local anchors —
maps/search,local/search(the schools, parks, dining, transit and other points of interest in the neighborhood — the concrete local details a guide must include to out-specific a portal). Each listing carriesname,place_id,rating,review_count,category,address.
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.
- 12d ago First seen · 86 lines · 111 tokens per session scan A c958e66e66a5
neighborhood-guide-opportunity is a skill published in the GitHub repository unifapi-agent/agents (564 stars, last pushed 6d ago), licensed MIT. It adds 111 tokens to every session and 2,257 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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