akshare-stock-analyzer
v1.1.0使用本 skill 自带的 fetch.py 和 analyze.py，对 A 股个股做短期趋势分析。 Use this skill whenever the user asks to analyze A-share stocks, ETFs (like A500/159339), check short-ter...
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byYuanfu@yuanfuc
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (A‑share short‑term analysis) align with included scripts (fetch.py, analyze.py, providers, today.py). All imports and functions relate to fetching market data and computing indicators; no unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md explicitly instructs the agent to import/call the provided Python functions or run the included CLI scripts, to save CSV outputs, and to use akshare for live/ historical market data. This is appropriate for the stated purpose, but it does mean the agent will execute bundled Python code and write output files in the skill directory—review/ sandboxing is recommended before allowing execution in sensitive environments.
Install Mechanism
There is no automated install spec in registry metadata. The repo includes scripts/setup_env.py which, if run, will call pip to install akshare and pandas via the current Python interpreter. This is expected for a Python analysis tool but will modify the interpreter environment (use a virtualenv/container if you want isolation). No downloads from unknown URLs or extract operations are present.
Credentials
The skill requires no environment variables, keys, or credentials. It only depends on akshare/pandas (installed via setup_env.py if used). There are no requests for unrelated secrets or external tokens.
Persistence & Privilege
always is false and the skill does not request permanent agent privileges. It writes CSV output to the skill directory when run and may install Python packages when setup_env.py is executed; it does not modify other skills or system-wide agent config beyond installing packages into the interpreter environment.
Assessment
This skill appears coherent for short‑term A‑share technical analysis. Before installing/running: (1) Review the included Python files yourself (they will be executed if you run the scripts); (2) run setup_env.py only inside a virtualenv or container to avoid altering your system interpreter (it uses pip to install akshare and pandas); (3) be aware akshare will make network requests to upstream market/data APIs (expected for this use); (4) if you want to limit risk, run the scripts in a sandbox and inspect outputs (CSV files) rather than granting broad autonomous execution. If you need higher assurance, ask the publisher for a source URL or signed release and pin dependency versions.Like a lobster shell, security has layers — review code before you run it.
latestvk97acd6edn6svc5r06k1x9zng583fe55
License
MIT-0
Free to use, modify, and redistribute. No attribution required.