[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to systematically diagnose and res
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Low
Low-risk findings worth noting
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tessl review fix ./skills/incident-response-smart-fix/SKILL.mdLow
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 workflow ingests outsider-authored free text via the runtime variable `$ARGUMENTS` (“Issue to resolve: $ARGUMENTS”) which is then fed into Phase 1 error analysis prompts (“Analyze error traces, logs, and observability data for: $ARGUMENTS”), and those results are used throughout the debugging pipeline.
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