fund-screening
v1.0.0基金筛选与定投实战技能。使用五维筛选体系（业绩/经理/风格/持仓/机构）从天天基金网和晨星网筛选优质基金，构建投资组合并执行定投策略。触发场景：用户提到"基金筛选"、"基金定投"、"选基"、"筛选基金"、"基金组合"、"定投策略"、"fund screening"、"fund DCA"，或要求推荐/分析/对比基金...
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byAllen Chen@cr330326
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
The name/description (fund screening, DCA execution, portfolio construction) matches the runtime instructions: web queries to fund sites, multi-step screening, local XLSX read/write and backtests. Minor mismatch: the SKILL.md tells the agent to run commands like `uv run --with openpyxl python3` and to rely on other skills (tavily-search/tavily-extract/agent-browser) but the skill metadata does not declare required binaries or explicit dependencies for running Python/openpyxl/pandas or the 'uv' runner. This is a usability/declared-dependency gap rather than evidence of malicious intent.
Instruction Scope
Instructions stay within the stated scope (initial screening, precision filtering, five-dimension analysis, backtests, saving results). The skill explicitly reads and writes workspace files (listed XLSX paths) — which is expected for a screening skill but is something the user should be aware of. It instructs the agent to fetch real-time data from public fund websites via other skills, which is coherent but increases runtime dependencies and surface area.
Install Mechanism
Instruction-only skill with no install spec and no code files included. This lowers installation risk because nothing is downloaded or executed during install.
Credentials
The skill requests no credentials, no environment variables, and no config paths. Its external data access is limited to public fund websites (eastmoney, morningstar, howbuy) via other agent skills — proportional for the stated purpose.
Persistence & Privilege
always is false and the skill is user-invocable (normal). It does not request permanent presence or system-wide configuration changes.
Assessment
This skill appears to do exactly what it says: screen funds using public data sources, analyze them, run backtests, and save results to the listed workspace files. Before installing or enabling it, consider: (1) Are you comfortable the agent will read/write the specific workspace files listed (实战/基金/结果/*.xlsx)? If not, move or protect those files. (2) The SKILL.md expects the agent to run Python with openpyxl/pandas via an 'uv' runner and to call other skills for web scraping — ensure those runtimes/skills are available and trusted. (3) The skill fetches data from public websites (eastmoney, morningstar, howbuy); scraping those sites may have legal/ToS implications and could change if site structure changes. (4) The skill includes clear disclaimers about not being investment advice, but you should still treat recommendations as informational only. If you want to reduce risk, disable autonomous invocation for the agent or limit its file access and network capabilities.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.