Build a durable analytical report with an answer-first narrative, evidence-backed findings, charts or tables, caveats, recommendations, and source context.
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Low
Low-risk findings worth noting
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tessl review fix ./packages/opencode/src/skill/builtin/.bundle/data-analytics/workflows/build-report/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.
High: the required workflow ingests the HTML report body (which may be provided by the user at runtime, including outsider-authored report text) via `report_to_google_doc/scripts/report_to_google_doc/parse_html.py` reading `raw_html = path.read_text(...)` and then converting that readable text into DOCX-insertion plan content (skeleton/manifest), so the model context can be indirectly influenced through later agent steps that reference these extracted texts.
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