These examples show how coding-ethos should be used by humans and AI agents.
They are intentionally small so the important path is visible: agents should ask
the MCP server for policy and lint context instead of running raw tooling and
guessing at remediation.
- MCP lint advice: run the local MCP server,
inspect available tools, and use
lint_check/lint_adviceas the preferred agent path for static-analysis work. - CEL policy: keep custom policy expressions attached to the ETHOS principle they enforce.
- GitHub SARIF CI: generated code-scanning gates and agent remediation flow.
- Agent command block: blocked unsafe command handling and MCP follow-up.
- Runtime sandbox: tool capabilities, sandbox evidence, and degraded-mode reporting.
- Editor SARIF integration.
- Red-team regression authoring.
- Consumer repo cutover with generated agent settings.