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 m-binimran/real-estate-pack --skill objection-handlinggit clone --depth 1 https://github.com/m-binimran/real-estate-packWrote 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/m-binimran/real-estate-pack/objection-handling)<a href="https://agentmods.dev/skills/m-binimran/real-estate-pack/objection-handling"><img src="https://agentmods.dev/badge/skills/m-binimran/real-estate-pack/objection-handling/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/m-binimran/real-estate-pack/objection-handling"><img src="https://agentmods.dev/badge/skills/m-binimran/real-estate-pack/objection-handling.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 | $0.00047 | $0.00351 |
| Opus 5 | $0.00023 | $0.00176 |
| Sonnet 5 | $0.00009 | $0.00070 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
objection-handling 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 10d 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
objection-handling
Acknowledge, understand, respond with value and facts - never with pressure or misrepresentation.
Framework (per objection)
- Acknowledge the concern genuinely.
- Clarify the real issue behind it (ask, don't assume).
- Respond with evidence - data, process, your value - not hype.
- Confirm it's addressed and move forward.
Common ones
- "Your commission is too high." Explain what's included (marketing, negotiation, coordination, net result), show value; commissions are negotiable - be straight about that.
- "We'll wait for the market." Share objective market data (the
market-report), not fear. - "Zillow says it's worth more." Walk through the
cmawith real comps; AVMs aren't appraisals. - "Why hasn't it sold?" Price, condition, exposure - honest diagnosis + a plan.
- FSBO / "we'll sell it ourselves." Show the gaps you fill; respect their choice.
Output
- Scripts per objection: acknowledge -> clarify -> evidence-based response -> next step. Keep them honest and brief.
Guardrails
- No pressure tactics, no false scarcity ("won't last"), no overpromises (the
superlativerule). - Commission talk: never imply rates are fixed or set by anyone but the brokerage/agreement.
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.
- 10d ago First seen · 30 lines · 47 tokens per session scan A 8baf2204a743
objection-handling is a skill published in the GitHub repository m-binimran/real-estate-pack (2 stars, last pushed 2mo ago), licensed MIT. It adds 47 tokens to every session and 351 once invoked, about $0.0002 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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