ZJTJ-SAR指标计算器

PassAudited by ClawScan on May 1, 2026.

Overview

This instruction-only stock-analysis skill appears coherent and non-destructive, but users should verify its dependencies, data source, and automated buy signals before relying on them.

This appears safe as an instruction-only analytical skill. Before using it, verify the Python packages and data source, remember that AkShare data may be unstable, and do not treat the generated buy recommendation as a guarantee or as personalized financial advice.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

A user may be encouraged to buy a stock based on a simplified automated score.

Why it was flagged

The skill turns calculated indicators into a buy recommendation. This is aligned with its stock-screening purpose, but it could influence financial decisions if over-trusted.

Skill content
**总分 >= 60分 → 建议买入**
Recommendation

Treat the output as a screening signal only, and verify with independent data or professional advice before trading.

What this means

If the examples are run, behavior and results depend on the installed packages and AkShare data source.

Why it was flagged

The example workflow depends on external Python packages and APIs. This is expected for market-data analysis, but the supplied install metadata does not pin package sources or versions.

Skill content
import akshare as ak
import pandas as pd
import numpy as np
Recommendation

Install dependencies from trusted sources, pin versions where possible, and review package provenance before running the example code.

What this means

A private watchlist or research target list could be exposed to the market-data provider when fetching data.

Why it was flagged

The skill discloses use of an external data provider. This is purpose-aligned, but user-supplied stock codes or watchlists used in the examples may be sent through that provider.

Skill content
数据来源:AkShare(免费API)
Recommendation

Avoid submitting proprietary or sensitive watchlists if that disclosure matters, and review AkShare’s data and privacy behavior before use.