Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.
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77%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Risky
Do not use without reviewing
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npx tessl skill review --optimize ./scientific-skills/rowan/SKILL.mdSecurity
2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
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.
Insecure credential handling detected (high risk: 1.00). The prompt includes examples that embed API keys and webhook secrets directly in code and print them (e.g., rowan.api_key = "your_api_key_here", export ROWAN_API_KEY="...", print(f"Your webhook secret: {secret.secret}")), which requires the LLM to handle and potentially output secret values verbatim — a high exfiltration risk.
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.
Third-party content exposure detected (high risk: 0.80). The skill's SKILL.md explicitly shows using rowan.create_protein_from_pdb_id() (e.g., "If you have a PDB ID, use rowan.create_protein_from_pdb_id()") to import public PDB entries, which are untrusted third‑party web content that the agent reads and uses in docking/cofolding workflows and thus can materially influence subsequent tool actions.
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