What problem does it solve? Triaging incoming bug reports manually is slow and inconsistent: engineers must read the report, hunt for the relevant code, judge severity, and draft a fix plan. This Skill automates that triage by analyzing a pasted bug report or issue URL against the codebase and producing a structured assessment file. ## Core Features & Use Cases - Bug Report Ingestion: Accepts pasted text, stack traces, or URLs to GitHub/GitLab/Jira/Sentry issues, with a strict URL trust policy that refuses private-network and non-HTTP(S) targets. - Codebase Correlation: Searches the repository for symbols, error strings, and file paths mentioned in the report to identify suspected root-cause locations. - Structured Assessment Output: Writes a verdict, severity rating, root-cause hypothesis, remediation proposal, and risk list to .specify/bugs/<slug>/assessment.md for downstream fix and test commands. - Use Case: A maintainer receives a GitHub issue reporting a 500 error on login. They run the Skill with the issue URL, and it fetches the report, locates the authentication code paths, rates the bug as high severity, and writes an assessment ready for the fix workflow. ## Quick Start Assess this bug report against the codebase and write an assessment: https://github.com/myorg/myrepo/issues/123