스킬 감사 보고서
quant-experiment-runtime 감사 보고서.
Quant research experiment executor: discover an offline source database under the workdir's code-repo, build a panel, run a Research Artifact's entry point to compute research-object values, and evaluate IC/ICIR/RANKIC/coverage metrics. Runtime = Experiment Executor; it runs a Research Artifact via a Python-native Entry Point and is agnostic to research-object type and expression form. Self-contained: panel building and IC metrics are implemented inside this skill. The dataset is identified at runtime by discover_data.py (never hard-coded). Use when: a research proposal is ready and you need to actually run the proposed factor/method on real data and get quantitative metrics. Do NOT use for: designing which experiments to run (use experiment-pipeline / paper-planning), debugging a single failed experiment (use experiment-craft), or searching papers (use local-paper-navigator).
OpenAgentSkill 신뢰 점수
OpenAgentSkill 신뢰 점수
Trust Score는 설치 전에 후보 목록에 넣을 만큼 안전한지 Agent가 판단하도록 돕습니다.
GitHub 채택도
정보62
GitHub 스타 212
스타/포크 활동
경고51
스타 212, 포크 3; 현재 메타데이터에서 이슈 활동을 확인할 수 없습니다
최근 유지보수
통과88
마지막 푸시 후 1개월
라이선스 명확성
통과86
Apache-2.0
README/SKILL.md 완성도
통과86
메타데이터에 충분한 사용 및 워크플로 맥락이 포함되어 있습니다
의존성/런타임 위험
경고54
command execution surface, external package install surface
설치 가능 여부
통과92
npx skills add CamusGIT/EvoQuant --skill quant-experiment-runtime
설치 명령 안전성
통과92
표준 패키지 또는 런타임 설치 경로
권한 범위
경고50
shell or command execution, filesystem or document access
저장소 근거
통과86
https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/quant-experiment-runtime
검토 상태
정보66
AI 검토 데이터를 사용할 수 있습니다
Agent 검증 결과
정보54
아직 Agent 결과 데이터가 없습니다
검사
설치 및 채택 검토
설치 경로
92
npx skills add CamusGIT/EvoQuant --skill quant-experiment-runtime
저장소
88
https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/quant-experiment-runtime
라이선스
86
Apache-2.0
유지보수
88
마지막 푸시 후 1개월
AI 검토
55
The skill executes arbitrary code from LLM-generated research artifacts, which inherently requires a secure sandbox environment. The documentation mentions the EvoQuant sandbox but does not explicitly detail sandboxing constraints or risk mitigations within the skill itself.
README/SKILL.md 완성도
86
Usable description available
의존성 위험
54
command execution surface, external package install surface
설치 명령 안전성
92
표준 패키지 또는 런타임 설치 경로
권한 범위
50
shell or command execution, filesystem or document access
스타/포크 활동
51
스타 212, 포크 3; 현재 메타데이터에서 이슈 활동을 확인할 수 없습니다
채택도
68
GitHub 스타 212
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
경고
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill executes arbitrary code from LLM-generated research artifacts, which inherently requires a secure sandbox environment. The documentation mentions the EvoQuant sandbox but does not explicitly detail sandboxing constraints or risk mitigations within the skill itself.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, external package install surface
- Permission surface: shell or command execution, filesystem or document access
방법
이 보고서는 공개 메타데이터, AI 검토 결과, 저장소 최신성, 설치 준비 상태, OpenAgentSkill 이벤트, 품질 점수, 신뢰 검사와 Agent 안전 게이트를 결합합니다. 전체 소스 코드 보안 감사는 아닙니다.
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