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 match-explaingit 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/match-explain)<a href="https://agentmods.dev/skills/syleedlabs/deal-locator-mcp/match-explain"><img src="https://agentmods.dev/badge/skills/syleedlabs/deal-locator-mcp/match-explain/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/match-explain"><img src="https://agentmods.dev/badge/skills/syleedlabs/deal-locator-mcp/match-explain.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 | $0.00102 | $0.00930 |
| Opus 5 | $0.00051 | $0.00465 |
| Sonnet 5 | $0.00020 | $0.00186 |
| Haiku 4.5 | $0.00010 | $0.00093 |
Grade A, and why
match-explain 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 11d 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
매칭 근거 확인 (/match-explain)
$ARGUMENTS 를 해석해 deal-locator MCP 의 match_explain 을 호출하고,
표제부 앵커값과 거래행값의 대조를 사용자가 스스로 판단할 수 있게 펼쳐 보인다.
이 스킬의 목적은 설득이 아니라 검증이다. 매칭이 약하면 약하다고 말하는 게 성공이다.
1) 인자 해석
- 주소 =
address(구 동 번지). N개월=months. 없으면 12개월.
2) 답변 규칙 (반드시 지킬 것)
-
comparison을 그대로 펼친다. 표제부 앵커(건축물대장) 대 거래행(실거래)의 항목별 대조 — 연면적·대지면적·건축년도 — 를delta·equal과 함께 보인다. 요약만 하고 숫자를 감추지 마라. 사용자가 직접 보고 판단할 수 있어야 한다. -
발화 단계(
stage)를 그대로 설명한다. 어떤 단계로 매칭됐는지가 신뢰도의 근거다.지번매칭(비마스킹)— 지번이 애초에 가려지지 않았다. 가장 강하다.1단계: 정확매칭— 연면적·대지·건축년도가 모두 일치.2단계: 건축년도+연면적— 대지 정보 없이 두 값만 일치.3단계: 오차범위 ±10%— 근사 일치. 가장 약하다.
-
약한 매칭을 변호하지 마라. 3단계나
추정매칭이면 **"같은 스펙의 인접 건물일 수 있다"**를 분명히 말한다. 사용자가 "확실하냐"고 물어 이 스킬을 부른 것이니, 확실하지 않으면 확실하지 않다고 답하는 게 정답이다. -
필지세트(
_필지세트)가 여럿이면 합필 건물이다. 대표지번 외 부속지번이 있으면 나열한다 — 왜 이 지번으로 잡혔는지 이해하는 데 필요하다. -
고객 제시용이면 원문 확인을 안내한다. 이 결과는 참고자료이지 중개대상물 확인·설명서가 아니다. 실거래가 공개시스템·건축물대장 원문을 직접 확인하도록 반드시 안내한다.
-
status가OK가 아니면 사유를 그대로 전하고 추측하지 않는다.
3) 출력 형태
○○구 ○○동 123-4 — 2026-06-12 거래 매칭 근거
판정: 정확매칭 (1단계)
항목 표제부(앵커) 거래행(실거래) 차이
연면적 351.0㎡ 351.0㎡ 0 ✅
대지면적 175.0㎡ 175.0㎡ 0 ✅
건축년도 2002 2002 0 ✅
필지구성: 단일 필지
- 판정이
추정매칭이하면 표 아래 한 줄 경고를 붙인다. - 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.
- 11d ago First seen · 64 lines · 102 tokens per session scan A 12e359951102
match-explain is a skill published in the GitHub repository syleedlabs/deal-locator-mcp (27 stars, last pushed 6d ago), licensed MIT. It adds 102 tokens to every session and 930 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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