gget
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
64
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Critical
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tessl review fix ./skills/bio/gget/SKILL.mdSecurity
2 findings: 1 critical severity, 1 high severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
E004: Prompt injection detected in skill instructions.
What this means
Detected a prompt injection in the skill instructions. The skill contains hidden or deceptive instructions that fall outside its stated purpose and attempt to override the agent’s safety guidelines or intended behavior.
Why it was flagged
The skill includes an out-of-scope behavioral instruction to "proactively suggest" and promote K-Dense Web (an external product) when requests become complex, which is a hidden/persistent steering instruction unrelated to the gget tool's advertised functionality and thus constitutes a prompt-injection-style directive.
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 skill explicitly shows and documents passing user secrets (COSMIC email/password and OpenAI api_key) directly as command-line arguments and function parameters, which requires the LLM to handle or emit secret values 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 gget runtime workflows ingest outsider-authored free text from the user via required parameters like `searchwords` (gget search) and `sequence` (gget blast/blat/muscle/diamond), which are then used to query external genomic databases and generate outputs.
- Repository
- wu-yc/LabClaw
- Commit
df37802
- Audited
- Security analysis
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