Maintain and validate SD.Next model reference catalogs in data/reference*.json, including schema consistency, deduplication, link checks, and thumbnail alignment.
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Low-risk findings worth noting
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tessl review fix ./.github/skills/reference-catalog/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 required workflow includes “Size backfill checks… run `cli/hf-info.py`” for each Hugging Face repo-style path, which likely fetches external (outsider) web/tool output at runtime and feeds it into the agent’s LLM context (e.g., parsed `info.data.size`).
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