The author describes five scenarios of 'silent failure' in automated systems where scripts report successful execution despite failing to perform their primary tasks. These issues often arise when monitoring tools, such as cron logs or status indicators, report success based on secondary metrics while the main process fails silently.

Common pitfalls include relying on exit codes from secondary commands instead of the primary task, using overly broad search patterns that return false positives, and checking the wrong instances of files or services. For example, a script might report success because a statistics-gathering command succeeded, even if the main operation crashed due to an expired access token.

The author highlights that automated agents, such as Claude Code and Codex, can inadvertently create these traps by generating code that prioritizes reporting success over verifying results. The author suggests that developers should always ask if a check would provide different output if the system were currently broken; if not, the check is considered decorative.

Additional issues identified include environment mismatches, such as scripts running in different directories or using different PATH configurations than expected, and the use of stale data. The author emphasizes that verifying the state of a system requires checking the actual current environment and data, rather than relying on past observations or cached states.