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alphaear-stock

Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.

66

Quality

78%

Does it follow best practices?

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SecuritybySnyk

High

Do not use without reviewing

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tessl review fix ./skills/alphaear-stock/SKILL.md
SKILL.md
Quality
Evals
Security

Security

1 high severity finding. You should review these findings carefully before considering using this skill.

High

W008: Secret detected in skill content (API keys, tokens, passwords).

What this means

Detected sensitive credentials directly embedded within the skill content, such as API keys, access tokens, private keys, or service-specific secrets. Secrets should never be hardcoded in plain text within skill instructions.

Why it was flagged

I scanned the skill files for high-entropy, literal credentials. The only candidate that meets the "secret" definition is the UT string in scripts/stock_tools.py: it is a 32-character hex-like literal ("fa5fd1943c7b386f172d6893dbfba10b"), not a placeholder, and appears to be a service parameter that could grant access or affect API requests to EastMoney. Proxy placeholders (e.g., "<proxy_ip>:<port>") and simple defaults (database path, test/memory DB) are documentation/setup items and were ignored per the rules.

Report incorrect finding

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

[Skill runtime ingests outsider-authored free text only indirectly via user-provided `query`/`ticker`, but the LLM workflow itself is not shown to read arbitrary third-party text sources (e.g., issues, emails, feeds) at runtime—its network reads are structured market data responses used as numeric fields.]

Repository
RKiding/Awesome-finance-skills
Audited
Security analysis
Snyk

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