Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/deciqAI/knowledge-skillsnpx agentmods add skills/deciqai/knowledge-skills/realtor-sphere-of-influence-ladderWrote 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/deciqai/knowledge-skills/realtor-sphere-of-influence-ladder)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/realtor-sphere-of-influence-ladder"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/realtor-sphere-of-influence-ladder/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/deciqai/knowledge-skills/realtor-sphere-of-influence-ladder"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/realtor-sphere-of-influence-ladder.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 | $0.00091 | $0.00691 |
| Opus 5 | $0.00046 | $0.00345 |
| Sonnet 5 | $0.00018 | $0.00138 |
| Haiku 4.5 | $0.00009 | $0.00069 |
Grade A, and why
realtor-sphere-of-influence-ladder 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 — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Real Estate — Sphere-of-Influence Referral Ladder
Industry front door for customer-relationship-ladder. Adds domain triggers, example, packs. Parent Process unchanged. Guidance, not professional advice. No legal, tax, financial or regulatory advice; verify anything jurisdiction- or rate-dependent against current authority. The professional who acts owns the decision.
Activate when: building repeat/referral pipeline; a database sitting idle; deciding nurture cadence; turning one closing into a lifetime client + referrals. Do NOT activate when: no existing contacts to nurture.
Why this variant
The parent customer-relationship-ladder moves contacts up rungs stranger → advocate. Real estate is a low-frequency, high-referral business: agents who systematically nurture their sphere and past clients get repeat + referral deals at a fraction of cold-lead cost. The ladder makes that a system, not luck.
Domain inputs → the ladder
Rungs and the trigger that lifts each:
- Contact → client (first transaction).
- Client → advocate (post-close value: anniversary of purchase, market updates on their home value, referral ask at satisfaction peak).
- Advocate → repeat source (they refer + return for the next move). Each rung = a scheduled touch (feed a content-calendar/CRM agent), not a hope.
Worked example
Agent closes a buyer, then goes silent until the client resurfaces years later (often with another agent). → Ladder fix: annual home-anniversary + periodic home-value updates + a referral ask right after a smooth close. One transaction becomes repeat + referrals.
Packs
- Solo agent: 33-touch/year sphere plan; past-client home-value updates.
- Team: database segmentation (A/B/C) + automated nurture cadence.
Red flags
- Database that's never contacted between deals.
- Referral never asked, or asked at a neutral moment.
- Buying cold leads while ignoring warm past clients.
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 · 47 lines · 91 tokens per session scan A 508b602fb1ca
realtor-sphere-of-influence-ladder is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 91 tokens to every session and 691 once invoked, about $0.0005 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 2026-09-03.
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