analyze-model
Analyze an external model URL (typically Hugging Face) to determine implementation style and estimate SD.Next porting difficulty using the port-model workflow.
64
76%
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High
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tessl review fix ./.github/skills/analyze-model/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
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.
Why it was flagged
The procedure explicitly tells the agent to read secrets.json for a huggingface_token and retry requests with auth, which requires embedding a secret token into HTTP requests/commands and therefore risks exposing the secret verbatim.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
The required workflow takes a user-supplied Hugging Face model URL/repo id (outsider-authored free text/content from a third-party public site) and, at runtime, inspects repository artifacts/model card details via that URL, which can include arbitrary text that the agent may ingest into the LLM context.
- Repository
- vladmandic/sdnext
- Commit
058a7f0
- Audited
- Security analysis
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