strain identification

Automates strain identification by parsing sequencing files, performing NCBI BLAST alignment, generating DingTalk table data, and creating Word identificatio...

This skill mostly matches its advertised purpose (parsing local FASTA files, producing a Word report and structured table data), but the BLAST step is implemented incorrectly: run_blast posts to NCBI but returns a hard-coded result rather than retrieving and parsing the actual BLAST output. Before using for real diagnostics or reporting, review and test the code: update run_blast to poll/fetch the RID results from NCBI and parse real matches, or verify results externally. Also note that using this skill will send sequence data to NCBI (an external service); do not use it with sensitive or patient-identifiable sequences unless you have approval. Finally, confirm you are comfortable with pip installing the declared dependencies from PyPI.

Type: OpenClaw Skill Name: strain-skill Version: 1.0.0 The skill is classified as suspicious because the `run_blast` function in `main.py` returns hardcoded results (identifying every input as 'Pseudomonas') instead of processing the actual response from the NCBI BLAST service. While the script does perform a legitimate POST request to `blast.ncbi.nlm.nih.gov`, the deceptive nature of the static output makes the tool non-functional and misleading. Additionally, the tool reads local files and sends their content to an external endpoint, which, while part of the stated purpose, lacks path validation and could be used to inadvertently upload sensitive data.