Geopolitical risk analysis: quantify crisis signals, identify precursors, and build event-driven strategies for war, sanctions, and supply disruption scenarios.
61
73%
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High
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tessl review fix ./agent/src/skills/geopolitical-risk/SKILL.mdSecurity
1 high severity finding. 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.
The SKILL.md includes a fetch_acled_events function that accepts an api_key argument and inserts it verbatim into an HTTP request params dict, which would require the LLM (or user-facing agent) to handle and potentially output a secret API key directly.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
The required runtime workflow for “Real-Time News Sentiment Analysis” explicitly fetches arbitrary third-party news pages via the project’s `read_url` / Jina Reader and then “pass[es] it to the LLM to extract risk events,” which is outsider-authored free text from public web sources.
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