📦 Stock — 股票
v1.0.0研究 DeskClaude Code 多智能体股票研究技能。生成带辩论、情景预测及双语 DOCX 输出的买方备忘录。用于研究……
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by 下载技能包
最后更新
2026/4/20
安全扫描
OpenClaw
可疑
medium confidenceThe skill's description promises a 12‑agent Python CLI pipeline, but the package provides only an instruction file (no code) while instructing you to install and run a local CLI—this mismatch and the broad file/web tools requested are incoherent and warrant caution.
评估建议
This skill claims to be a complex Python CLI but contains only an instruction file — there is no code to implement the 12-agent pipeline. Before installing or running anything: (1) verify the upstream repository (the homepage) and confirm the package files and a safe install procedure exist; (2) do not paste your OLLAMA_API_KEY into unknown tools — prefer a scoped/limited key or test in a sandbox; (3) be cautious if following the pip install advice — it may require pulling code from the GitHub r...详细分析 ▾
⚠ 用途与能力
The name/description describe a complex 12-agent Python tool and CLI (./bin/research-stock). The skill declares python3, pip and an OLLAMA_API_KEY which would be reasonable for such a tool, but there are no code files, no install spec, and nothing in the bundle that implements the described pipeline. Asking the user to pip install -e .[dev] and run a local binary is inconsistent with the instruction-only packaging.
⚠ 指令范围
SKILL.md instructs installing a local package, setting OLLAMA_API_KEY in a .env, calling ./bin/research-stock and producing DOCX on the desktop, and describes web scraping/filtering behavior. Those runtime commands reference local files/binaries that are not present in the skill bundle. The instructions also allow web fetch/search and file read/write/edit operations — appropriate for research, but the combination with missing code means the agent could be given broad discretion without implemented constraints.
ℹ 安装机制
There is no formal install spec in the skill bundle (lowest risk), but SKILL.md tells users to run `pip install -e .[dev]` which presumes a local Python package. Because no package files are included, that instruction is misleading; it does not create an external download risk, but it is incoherent and could lead users to fetch the referenced GitHub repo or run arbitrary pip installs themselves.
✓ 凭证需求
Only OLLAMA_API_KEY is required and declared as the primary credential, which is proportionate for an LLM-backed research tool. No unrelated secrets or multiple credentials are requested.
✓ 持久化与权限
always:false and no requested config paths. The skill permits read/write/edit and web tools which are reasonable for a research/CLI tool, but these capabilities combined with missing code increase the need for caution.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.0.02026/4/20
- Initial release of Stock Research Desk (v1.0.0) - Provides a 12-agent multi-factor equity research pipeline for deep dives, sector screening, and watchlist management - Generates bilingual (Chinese/English) buy-side memos in DOCX format - Includes source quality scoring and noise filtering - No trading execution, portfolio management, or backtesting features
● 无害
安装命令
点击复制官方npx clawhub@latest install stock-research-desk
镜像加速npx clawhub@latest install stock-research-desk --registry https://cn.longxiaskill.com