Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
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High
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tessl review fix ./backend/cli/skills/databases/reactome-database/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
Detected sensitive credentials directly embedded within the skill content, such as API keys, access tokens, private keys, or service-specific secrets. Secrets should never be hardcoded in plain text within skill instructions.
I inspected the documentation and example code for literal credentials. The only literal credential-like value is the analysis token "MzUxODM3NTQzMDAwMDA1ODI4MA==", shown verbatim in the API reference examples. This is a concrete token (base64) that could be used with the GET /token/{token} endpoint to retrieve results, so it meets the definition of a secret (literal token value). No API keys, private key blocks, or other high-entropy credentials were found. Other values are endpoints, IDs, or obvious placeholders/examples and were ignored.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
Runtime reads outsider-authored free text when a user supplies an identifier list or TSV expression data to Reactome’s AnalysisService via POST /AnalysisService/identifiers/ (including user-controlled gene_list_file content in scripts/reactome_query.py::command_analyze).
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