earnings-calendar
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.
72
88%
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High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The skill explicitly asks the user to paste their FMP API key into the chat/session and then instructs using that session-stored key verbatim in command-line invocations (e.g., python scripts/fetch_earnings_fmp.py ... "${API_KEY}"), which requires the LLM to handle and output secret values directly.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
Required runtime flow fetches publicly available outsider-authored company/profile and earnings text from the external FMP API, which is then formatted into markdown (free-text fields like `companyName`, `sector`, etc.) and printed/saved via `scripts/generate_report.py` into the agent’s LLM-visible context.
- Repository
- tradermonty/claude-trading-skills
- Commit
62a1635
- Audited
- Security analysis
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