SMILES Profiling

Comprehensive SMILES profiling through SwissTargetPrediction, PubChem, ADMETlab 3.0, ChEMBL, and PK-Smart. Use when given a single SMILES to extract predicte...

This skill appears to do what it says (send a SMILES string to public cheminformatics services and aggregate results), but be aware of two practical risks: (1) the included Python scripts rely on third‑party packages (websockets, google.protobuf, etc.) but the skill provides no install or dependency manifest — installation may fail or require ad-hoc package installs; (2) the skill sends the SMILES (which may be proprietary or sensitive) to multiple external services over the network (PubChem, SwissTargetPrediction, ADMETlab, ChEMBL, PK‑Smart). If you need to protect chemical confidentiality or operate in an air‑gapped environment, do not run this skill without validating where data will be sent and ensuring required libraries are installed in a controlled manner. If you want to proceed, ask the maintainer for a clear requirements.txt or packaging instruction and confirm whether you accept transmitting SMILES to the documented endpoints.

Type: OpenClaw Skill Name: smiles-profiling Version: 1.2.0 The skill bundle is a legitimate chemical informatics tool designed to profile SMILES strings using various scientific databases (PubChem, ChEMBL, SwissTargetPrediction, etc.). The code in `run_smiles_profile.py` and `run_smiles_smoke.py` implements data fetching and parsing logic consistent with the stated purpose. While the PK-Smart integration in `run_smiles_smoke.py` uses a complex manual Protobuf and WebSocket implementation to interact with a Streamlit-based web app, this appears to be a necessary workaround for a tool lacking a formal API rather than a malicious technique. No evidence of data exfiltration, unauthorized access, or malicious prompt injection was found.