kakaocloud-openapi-mcp: Skill for Claude Code

.claude/skills/api-research/SKILL.md

api-research is a skill for Claude Code from chals-go/kakaocloud-openapi-mcp. It costs 60 tokens per session (873 once invoked), scanned A, original, MIT.

A skill for collecting and structuring KakaoCloud OpenAPI documentation, including services, endpoints, parameters, responses, errors, authentication, and dependencies.

In plain words
What is it for?
Use it to research KakaoCloud APIs, build service and dependency inventories, document authentication, and outline workflows such as creating virtual machines.
Why use it?
It turns scattered cloud API documentation into organized specifications that are easier to inspect and use.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is chals-go/kakaocloud-openapi-mcp's own configuration. It tells Claude Code how to work on kakaocloud-openapi-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything kakaocloud-openapi-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to chals-go/kakaocloud-openapi-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/chals-go/kakaocloud-openapi-mcp/main/.claude/skills/api-research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/chals-go/kakaocloud-openapi-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for api-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/chals-go/kakaocloud-openapi-mcp/api-research/github.svg)](https://agentmods.dev/skills/chals-go/kakaocloud-openapi-mcp/api-research)
Your own site
<a href="https://agentmods.dev/skills/chals-go/kakaocloud-openapi-mcp/api-research"><img src="https://agentmods.dev/badge/skills/chals-go/kakaocloud-openapi-mcp/api-research/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.

agentmods 80×15 button for api-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/chals-go/kakaocloud-openapi-mcp/api-research"><img src="https://agentmods.dev/badge/skills/chals-go/kakaocloud-openapi-mcp/api-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 873 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00060 $0.00873
Opus 5.5 $0.00024 $0.00349
Sonnet 5.5 $0.00012 $0.00175
Haiku 4.5 $0.00006 $0.00087

Measured 2mo ago against content hash 90a4ecfc0f76, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

api-research 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 2mo 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.

.claude/skills/api-research/SKILL.md · 80 lines

What it actually says

카카오클라우드 OpenAPI 문서 조사

카카오클라우드 OpenAPI 문서(https://docs.kakaocloud.com/openapi)를 체계적으로 크롤링하여 MCP 서버에서 활용할 수 있는 구조화된 API 스펙을 생성한다.

조사 워크플로우

Step 1: 서비스 목록 수집

  1. https://docs.kakaocloud.com/openapi 메인 페이지를 WebFetch로 가져온다
  2. 사이드바 또는 본문에서 서비스 카테고리와 개별 서비스 링크를 추출한다
  3. 서비스 목록을 _workspace/01_api_research/service_list.json에 저장한다

Step 2: 서비스별 API 스펙 수집

각 서비스에 대해:

  1. 서비스 문서 페이지를 WebFetch로 가져온다

  2. API 레퍼런스 페이지(있다면)를 추가로 가져온다

  3. 다음 정보를 추출한다:

    • base URL
    • 인증 방식
    • 엔드포인트 목록 (method, path, description)
    • 각 엔드포인트의 파라미터 (필수/선택 구분)
    • 요청/응답 바디 스키마
    • 에러 코드
  4. 결과를 _workspace/01_api_research/{service-name}.json에 저장한다

Step 3: 서비스 관계 분석

  1. 서비스 간 의존성을 파악한다
    • VM 생성 → VPC, Subnet, Security Group, Key Pair 필요
    • Load Balancer → VPC, Subnet, Target Group 필요
  2. 의존성 그래프를 _workspace/01_api_research/dependencies.json에 저장한다

Step 4: 인증 가이드 정리

  1. 카카오클라우드 API 인증 방식을 정리한다 (API Key, Access Token 등)
  2. 토큰 발급/갱신 API를 포함한다
  3. _workspace/01_api_research/auth.md에 저장한다

Step 5: 워크플로우 정리

주요 사용 시나리오별 API 호출 순서를 정리한다:

{
  "workflow": "VM 인스턴스 생성",
  "steps": [
    {"order": 1, "action": "VPC 생성 또는 기존 VPC 조회", "api": "POST /vpcs 또는 GET /vpcs"},
    {"order": 2, "action": "Subnet 생성 또는 조회", "api": "POST /subnets 또는 GET /subnets"},
    {"order": 3, "action": "Security Group 생성", "api": "POST /security-groups"},
    {"order": 4, "action": "Key Pair 생성", "api": "POST /key-pairs"},
    {"order": 5, "action": "VM 인스턴스 생성", "api": "POST /instances"}
  ]
}

결과를 _workspace/01_api_research/workflows.json에 저장한다.

Step 6: 요약 보고서 생성

_workspace/01_api_research/summary.md에 전체 조사 결과를 요약한다:

  • 발견된 서비스 수와 목록
  • 서비스별 엔드포인트 수
  • 수집 실패/불완전한 서비스 목록
  • 주요 워크플로우 목록

크롤링 시 주의사항

  • robots.txt를 존중한다
  • 페이지 간 요청 간격을 두어 서버에 부담을 주지 않는다
  • JavaScript 렌더링이 필요한 페이지는 WebFetch로 접근 불가할 수 있다. 이 경우 해당 사실을 기록하고 수동 확인이 필요한 항목으로 표시한다
  • OpenAPI/Swagger JSON 스펙 파일이 직접 제공되는 경우 해당 파일을 우선 활용한다
Changes

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.

  1. 2mo ago First seen · 80 lines · 60 tokens per session scan A 90a4ecfc0f76

Subscribe to this mod's changes

api-research is a skill published in the GitHub repository chals-go/kakaocloud-openapi-mcp (1 stars, last pushed 6mo ago), licensed MIT. It adds 60 tokens to every session and 873 once invoked, about $0.0002 per session on Opus 5.5. 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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