What problem does it solve? AI agents and developers often claim work is done, tests pass, or bugs are fixed without actually running the verification commands, leading to broken commits and false status reports. This Skill establishes a hard gate: no completion claims without fresh verification evidence. ## Core Features & Use Cases - Evidence-First Gate: Requires identifying, running, and reading the full output of the proving command before any success claim, commit, or PR. - Language Linter Gate: Detects the project language from manifest files (pyproject.toml, package.json, go.mod, Cargo.toml, pom.xml, Gemfile) and runs the correct formatter, linter, and type checker in check mode before every commit. - Test-Strength and Quality Gates: Adds mutation testing thresholds (Stryker, PIT, mutmut) and ISO/IEC 5055 CWE-based structural quality checks on top of line coverage. - Use Case: Before committing a bug fix, the agent runs the test suite, confirms zero failures, runs ruff and mypy cleanly, verifies the regression test fails without the fix, and only then reports completion with evidence. ## Quick Start Before you commit or claim this task is done, apply the verification-before-completion gate and show me the actual command output proving it passes.