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 syleedlabs/deal-locator-mcp --skill deal-historygit clone --depth 1 https://github.com/syleedlabs/deal-locator-mcpWrote 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/syleedlabs/deal-locator-mcp/deal-history)<a href="https://agentmods.dev/skills/syleedlabs/deal-locator-mcp/deal-history"><img src="https://agentmods.dev/badge/skills/syleedlabs/deal-locator-mcp/deal-history/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/syleedlabs/deal-locator-mcp/deal-history"><img src="https://agentmods.dev/badge/skills/syleedlabs/deal-locator-mcp/deal-history.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00095 | $0.00801 |
| Opus 5 | $0.00048 | $0.00400 |
| Sonnet 5 | $0.00019 | $0.00160 |
| Haiku 4.5 | $0.00010 | $0.00080 |
Grade A, and why
deal-history 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
실거래 이력 (/deal-history)
$ARGUMENTS 를 해석해 deal-locator MCP 의 deal_history 를 호출하고,
매칭된 거래 이력을 최신순으로 정리해 답한다.
1) 인자 해석
- 주소 =
address.구 동 번지형태가 가장 정확하다. N개월=months. 없으면 기본 24개월(이력은 기간이 넓어야 의미가 있다). 재거래를 찾는 질문이면 60개월(최대)까지 늘려 부르고, 늘렸다는 사실을 밝힌다.
2) 답변 규칙 (반드시 지킬 것)
-
건별로 신뢰도가 다를 수 있다. 이력은 여러 거래를 각각 역매칭한 결과라, 한 건은
정확매칭이고 다른 건은추정매칭일 수 있다. 모든 행에 신뢰도를 표기하고, 표 전체를 한 신뢰도로 뭉뚱그리지 않는다. -
가격 추이·상승률은
structuredContent의transactions[]로 계산한다. 텍스트를 파싱해 숫자를 만들지 않는다. -
상승률을 말할 때는 신뢰도를 전제로 깐다. 두 거래 중 하나라도
추정매칭이면 **"동일 건물이 아닐 수 있어 상승률은 참고치"**임을 반드시 붙인다. 서로 다른 건물의 가격을 빼면 상승률이 아니라 그냥 두 건물의 가격차다. -
거래가 1건뿐이면 추이를 말하지 않는다. "이력 1건"이라고만 하고 끝낸다.
-
status가OK가 아니면 사유를 그대로 전한다.NOT_FOUND는 데이터 없음이지 거래가 없었다는 확정이 아니다 — 기간을 늘려 재조회할 수 있음을 안내한다. -
금액은 반올림(절사 금지). 1억원/평 넘는 평단가는 억 단위를 앞에 붙인다.
3) 출력 형태
○○구 ○○동 123-4 — 최근 N개월 실거래 이력 3건
2026-06-12 115억원 1억 3,707만원/평 개인 → 법인 [정확매칭]
2023-04-02 78억원 9,300만원/평 개인 → 개인 [정확매칭]
2019-11-20 41억원 4,900만원/평 개인 → 개인 [추정매칭]
- 표 아래 한 줄 요약 — 예:
2023 → 2026 사이 47% 상승 (두 건 모두 정확매칭).추정매칭이 섞였으면 그 사실을 같은 줄에 밝힌다. - 마지막에 도구가 준
source한 줄을 유지한다.
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 · 55 lines · 95 tokens per session scan A f539fa0d2f72
deal-history is a skill published in the GitHub repository syleedlabs/deal-locator-mcp (27 stars, last pushed 7d ago), licensed MIT. It adds 95 tokens to every session and 801 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 2026-08-30.
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