caveman-setup
Connect your app to Caveman measurement
LLM requests can be difficult to measure across SDKs and providers. This skill identifies live callsites, routes them through Caveman, and verifies one measured request.
설치 전에 중지하고 확인을 요청하세요.
계획을 검토하고 파일을 변경하기 전에 사용자의 명시적 동의를 받으세요.
내 에이전트로 설치
이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.
Review the Skillstore skill "caveman-setup" from https://skillstore.io/skills/juliusbrussee-caveman-setup.md and its manifest at https://skillstore.io/api/skills/juliusbrussee-caveman-setup/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.
에이전트가 읽기 쉬운 리소스
AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.
테스트해 보기
"caveman-setup" 사용 중입니다. Set up measurement for the repository.
예상 결과:
- Found two LLM callsites in the API service.
- Added gateway URL and gateway key references through the existing environment configuration.
- Verification is ready and requires approval before sending a provider request.
"caveman-setup" 사용 중입니다. Check whether the gateway integration succeeded.
예상 결과:
- Verification returned HTTP 200.
- The response included usage details for the configured model.
- Record mode is enabled and no optimization was configured.
보안 감사
높은 위험Most static findings are false positives caused by Markdown formatting, configuration examples, and documented environment-variable use. The skill intentionally routes LLM requests through a third-party gateway and can forward provider credentials in byok mode. It also directs agents to send a billable verification request without obtaining approval at execution time.
확인된 보안 우려 사항 (2)
기능 검토 항목 (10)
이 스킬에 대해 예상될 수 있는 실제 로컬 기능이므로 검토가 필요하지만, 확인된 악의적 동작으로는 집계되지 않습니다.
위험 요인
⚙️ 외부 명령어 (50)
🌐 네트워크 접근 (4)
🔑 환경 변수 (26)
이 보고서 공유 및 인용
버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.
보고서 링크 복사
https://skillstore.io/skills/juliusbrussee-caveman-setup/audits/9?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 배지
[](https://skillstore.io/skills/juliusbrussee-caveman-setup?utm_source=security_passport_badge)HTML 배지
<a href="https://skillstore.io/skills/juliusbrussee-caveman-setup?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/juliusbrussee-caveman-setup/security.svg" alt="Skillstore security assessment" loading="lazy"></a>임베드 카드
<iframe src="https://skillstore.io/embed/skills/juliusbrussee-caveman-setup.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>학술 인용 (APA · BibTeX · CFF)
APA 인용
juliusbrussee. (2026). caveman-setup security audit report (audit version 9) [Author version unspecified]. Skillstore. https://skillstore.io/skills/juliusbrussee-caveman-setup/audits/9BibTeX 인용
@techreport{juliusbrussee-juliusbrussee-caveman-setup-2026,
author = {juliusbrussee},
title = {caveman-setup security audit report (audit version 9)},
institution = {Skillstore},
year = {2026},
number = {9},
url = {https://skillstore.io/skills/juliusbrussee-caveman-setup/audits/9},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "caveman-setup security audit report (audit version 9)"
version: "unspecified"
type: report
authors:
- name: "juliusbrussee"
date-released: "2026-09-08"
url: "https://skillstore.io/skills/juliusbrussee-caveman-setup/audits/9"
identifiers:
- type: other
value: "skillstore:juliusbrussee-caveman-setup:audit:9"
description: "Skillstore immutable audit report identifier"
Skillstore 점수
이 점수의 이유 증거 신뢰도: 중간만들 수 있는 것
Measure a production AI service
Route existing application LLM traffic through the gateway to capture request usage and spend.
Standardize SDK gateway routing
Apply documented gateway configuration to OpenAI, Anthropic, or framework-based LLM clients.
Verify observability onboarding
Send one minimal request and confirm that the gateway records usage before wider rollout.
이 프롬프트를 사용해 보세요
Set up Caveman measurement for this repository. First identify all live LLM callsites and show me the planned changes.
Configure the existing OpenAI SDK client to use the Caveman gateway. Use environment variables and preserve current provider behavior.
Review this repository for LLM callsites and propose the minimal Caveman gateway integration. Do not make unrelated changes.
After configuring Caveman, show the exact verification request and wait for my approval before sending any billable traffic.
모범 사례
- Review the proposed file changes before applying them.
- Store gateway and provider credentials only in ignored environment files or a managed secret store.
- Confirm the target gateway and approve the billable verification request before it runs.
피하기
- Do not hardcode gateway or provider credentials in application source.
- Do not route traffic to an unverified gateway URL.
- Do not report successful measurement without an observed verification result.
자주 묻는 질문
What does this skill configure?
Does it change model output?
Which client libraries are covered?
Are credentials required?
Does verification cost money?
Should I approve network activity first?
개발자 세부 정보
작성자
juliusbrussee라이선스
MIT
Skillstore 리비전
r1
버전 안내
작성자가 버전을 선언하지 않았습니다.
참조
0acc95b40c367e2016e824a72b27b83b507ef020
유지보수 최신성
2026. 9. 8.
사용량
1 다운로드 · 0 조회
파일 구조
📄 SKILL.md