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 crealwork/ai-marketing-kit --skill crm-connectgit clone --depth 1 https://github.com/crealwork/ai-marketing-kitWrote 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/crealwork/ai-marketing-kit/crm-connect)<a href="https://agentmods.dev/skills/crealwork/ai-marketing-kit/crm-connect"><img src="https://agentmods.dev/badge/skills/crealwork/ai-marketing-kit/crm-connect/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/crealwork/ai-marketing-kit/crm-connect"><img src="https://agentmods.dev/badge/skills/crealwork/ai-marketing-kit/crm-connect.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 | $0.00112 | $0.01195 |
| Opus 5 | $0.00056 | $0.00598 |
| Sonnet 5 | $0.00022 | $0.00239 |
| Haiku 4.5 | $0.00011 | $0.00120 |
Grade A, and why
crm-connect scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
5. 특수문자/이모지 포함 본문은 Python `json.dumps()`로 — curl 인라인 JSON은 깨진다. How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRM Connect
특정 CRM 전용 스킬이 아니라 어떤 CRM이든 API로 연결하는 방법론. 한 번 연결하면 프로젝트에 "연결 카드"를 남겨 다음 세션부터 재사용한다.
Gates (처음 연결할 때, 순서대로)
G1 — CRM 식별. 유저에게 묻는다: 어떤 CRM? 어떤 작업(리드 입력/딜 관리/리포트)? 그 CRM의 공식 API 문서를 찾는다 (웹 검색 또는 문서 도구). 문서 없이 엔드포인트를 추측하지 않는다.
G2 — 인증. 우선순위: API 키 > Personal Access Token > OAuth2(에이전트에겐
최후 수단). 키는 env 변수로만 (HUBSPOT_API_KEY, PIPEDRIVE_API_TOKEN 등
CRM별 이름). 파일/채팅에 키 값 기록 금지. 유저가 키 발급 위치를 모르면 해당 CRM의
Settings → API/Integrations 경로를 안내.
G3 — 최소 읽기로 검증. 가장 싼 read 호출(연락처 1건 목록 등)이 200을 반환하는지 확인. 실패 시 인증 방식(헤더 vs Basic vs query param)부터 재확인 — CRM마다 다르다.
G4 — 엔티티 매핑. 아래 표로 이 CRM의 용어를 확인하고 유저와 맞춘다:
| 개념 | HubSpot | Pipedrive | Close | Salesforce | Attio |
|---|---|---|---|---|---|
| 사람 | contact | person | contact | Contact/Lead | person record |
| 회사 | company | organization | lead (회사 단위!) | Account | company record |
| 거래 | deal | deal | opportunity | Opportunity | (custom object) |
| 활동/메모 | engagement | activity/note | activity | Task/Event | note |
Close처럼 "lead"가 회사를 뜻하는 CRM이 있다 — 용어를 확인하지 않고 쓰면 데이터가 엉뚱한 곳에 들어간다.
G5 — 연결 카드 작성. 프로젝트 루트에 CRM.md를 만들어 기록: CRM 이름, base
URL, 인증 방식 + env 변수명, 검증된 엔드포인트 목록, 엔티티 용어 매핑, 파이프라인/
스테이지 ID 목록, 커스텀 필드 ID, rate limit. 다음 세션은 이 카드부터 읽는다.
Hard rules (모든 CRM 공통 — 전부 실제 사고 기반)
- Search before create — 생성 전에 이메일/이름으로 검색해 중복 방지.
- ID로 쓰고 label로 쓰지 않는다 — 스테이지/상태 label은 파이프라인 간에 중복된다. 의도한 파이프라인의 status/stage ID를 조회해서 그걸로 쓴다.
- 삭제·병합·대량 업데이트는 유저 승인 필수 — 건수와 대상을 먼저 보여준다.
- 쓰기 작업 후 결과 요약 보고 (몇 건 생성/수정, 레코드 링크).
- 특수문자/이모지 포함 본문은 Python
json.dumps()로 — curl 인라인 JSON은 깨진다. - 페이지네이션 확인 없이 "전체"를 단정하지 않는다 (
has_more/cursor/offset). - Rate limit을 문서에서 확인하고 대량 작업은 스로틀 (기본 안전값: 5 req/s).
- 캐시된 ID를 신뢰하지 않는다 — 파이프라인/커스텀 필드는 쓰기 직전에 라이브 조회.
자주 하는 작업 패턴
- 리드 유입 → CRM: 폼/랜딩의 리드를 사람+회사로 생성, 소스(utm)를 커스텀 필드나 메모로 기록, 담당자 할당 규칙은 유저에게 확인.
- CRM → 광고 오디언스: 리드 이메일 목록 추출 → 광고 플랫폼 커스텀 오디언스로 (paid-ads 스킬 C절).
- 미팅 브리핑: 캘린더 참석자 이메일 → CRM에서 기존 기록 조회 → cyrano 스킬로 외부 리서치와 합쳐 브리핑.
- 주간 파이프라인 리포트: 스테이지별 딜 수/금액 집계 — ID 기준으로 집계하고 label은 표시용으로만.
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 · 69 lines · 112 tokens per session scan A 4dc78dbb96c5
crm-connect is a skill published in the GitHub repository crealwork/ai-marketing-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 1,195 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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