investoday-fund-performance-attribution-analysis
v1.3.0面向公募基金业绩归因分析，聚焦超额收益来源、选股能力、择时能力、配置支撑与业绩可持续性。基于今日投资金融数据接口，自动识别基金代码并输出结构化基金业绩归因报告。触发词：业绩归因、超额收益、选股能力、择时能力、业绩来源、主动管理能力。
⭐ 0· 120·0 current·0 all-time
byinvestoday@kenneth-bro
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match required behavior: it calls an external finance-data skill for fund identification and attribution data. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
Runtime instructions are constrained to calling the listed tool IDs from investoday-finance-data (entity-recognition, basic-info, eval-peer-avg-ind, performance-attribution, portfolio-asset-holdings, current-manager-returns). No file I/O, unrelated env var access, or external endpoints are instructed.
Install Mechanism
No install spec and no code files; the skill is instruction-only so nothing is written to disk. This is low-risk and proportionate for the described function.
Credentials
The skill declares no required environment variables, credentials, or config paths. All data access is delegated to the referenced investoday-finance-data skill.
Persistence & Privilege
Flags: always=false and model invocation is permitted (default). The skill does not request persistent system-wide changes or modify other skills; no elevated privileges are requested.
Assessment
This skill appears coherent and low-risk: it is an instruction-only wrapper that delegates all data access to the investoday-finance-data skill and requests no secrets or installs. Before installing, verify the trustworthiness of the referenced investoday-finance-data skill (inspect its permissions, where it fetches data, and whether it requires API keys) because this skill relies entirely on that provider for data access and any network/credential behavior will come from it. Also confirm you are comfortable with the provider's privacy and usage terms (ensure no sensitive/personal data will be sent). If you plan to run autonomously, remember autonomous invocation is allowed by default—only enable that if you trust both this skill and its data-provider dependency.Like a lobster shell, security has layers — review code before you run it.
active-managementvk97cgh99h4kj41as08sb2cx0e983r152allocation-supportvk97cgh99h4kj41as08sb2cx0e983r152excess-returnvk97cgh99h4kj41as08sb2cx0e983r152latestvk97cgh99h4kj41as08sb2cx0e983r152market-timingvk97cgh99h4kj41as08sb2cx0e983r152peer-comparisonvk97cgh99h4kj41as08sb2cx0e983r152performance-attributionvk97cgh99h4kj41as08sb2cx0e983r152return-driversvk97cgh99h4kj41as08sb2cx0e983r152stock-selectionvk97cgh99h4kj41as08sb2cx0e983r152
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🎯 Clawdis