On-demand builder that converts a SINGLE test failure record (JUnit XML, Allure JSON, pytest --tb=short, Playwright HTML, Cypress mocha-junit) into a structured, tracker-agnostic bug SPEC: extracts test name, assertion, stack trace, environment, and artefacts, and proposes severity, defect type (IEEE 1044), and a root-cause hypothesis (ISTQB CTAL-TA), then hands the JSON spec to a jira/linear/github-issues-bug-workflow runner to file. Use when you already hold a failure artefact and want one classified, ready-to-file report. Distinct from the event-driven CI orchestrator that triggers automatically on a pipeline failure and files in bulk, and from screen-recording-driven bug reporting; this is the on-demand, single-record spec builder.
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Low-risk findings worth noting
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.
SKILL.md Step 1 ingests outsider-authored failure artefacts (e.g., JUnit XML/Allure JSON/pytest logs/Playwright reports) and parses their fields like `failure.message` and `failure.stack` to render a Markdown bug body, making free text from those artefacts LLM-readable at runtime.