Track crypto options flow to identify institutional positioning and market sentiment. Use when tracking institutional options flow. Trigger with phrases like "track options flow", "analyze derivatives", or "check institutional".
59
51%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Risky
Do not use without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/crypto/options-flow-analyzer/skills/analyzing-options-flow/SKILL.mdSecurity
2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
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.
Insecure credential handling detected (high risk: 0.90). The skill explicitly instructs the agent to read exchange API credentials from a local .env via the Read tool and use them to authenticate against exchange endpoints, which requires the LLM to handle secret values and could lead to those secrets being embedded verbatim in requests/commands (exfiltration risk).
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.
Third-party content exposure detected (high risk: 0.70). The skill's SKILL.md and references/implementation.md explicitly require connecting to public exchange APIs/WebSocket feeds (Deribit, OKX, Bybit) and ingesting real-time options and block-trade data as part of its core workflow, so untrusted third-party market data is read and used to drive analysis and actions.
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