Generates property-based API tests automatically from an OpenAPI 2/3.x or GraphQL schema using Schemathesis, runs them via the `schemathesis run` CLI or as a pytest decorator, configures the canonical checks (status_code_conformance, response_schema_conformance, content_type_conformance, response_headers_conformance, not_a_server_error), and gates CI on schema-conformance failures plus 5xx detection. Use when the project ships an OpenAPI or GraphQL schema and the team wants schema-driven coverage that scales as the API evolves.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. 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.
High likelihood: the required runtime workflow fetches an OpenAPI schema from a user-supplied remote URL (e.g., `schemathesis run <schema-url>` / `schemathesis.openapi.from_url(...)`), and that remote page/schema contents are outsider-authored free text that is parsed and used as LLM input/context during the skill run.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill explicitly instructs runtime fetching of remote OpenAPI schemas (e.g. https://staging.example.com/openapi.json), which are retrieved during execution and directly determine the tests that Schemathesis generates and runs.