alphafold-database
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
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Low
Low-risk findings worth noting
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tessl review fix ./backend/cli/skills/databases/alphafold-database/SKILL.mdLow
Low-risk findings.
2 low severity findings. 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
SKILL.md describes runtime retrieval of AlphaFold prediction metadata and structure/confidence files via public REST endpoints/HTTP downloads (e.g., UniProt description, JSON fields, and downloaded CIF/JSON content) and those responses are treated as readable text/data that will enter the agent’s LLM context; this is an outsider source (public web content fetched at runtime) enabling indirect prompt injection.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Why it was flagged
The documentation contains a direct command that fetches and executes remote code via "curl https://sdk.cloud.google.com | bash", which would run remote installer content on the host.
- Repository
- synthetic-sciences/openscience
- Commit
52845c3
- Audited
- Security analysis
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