dogfooding-ion

dogfooding-ion is a Usability testing skill for AI agents, published by Roger-luo in the Ion repository on GitHub. Skillspace rates dogfooding-ion D (57/100) and it passed the safety scan; the rating is based on static analysis only.

Use when hardening Ion's user experience by driving the ion CLI end-to-end against a real project and improving what feels rough — i.e. "dogfood ion on <project>", "use ion in X and fix the UX gaps", "is ion actually pleasant to use", "does ion guide the agent to the next step", or any shakedown of the CLI from a user's seat. Dogfooding judges three things at once: (1) human terminal UX — is plain (non-JSON) output friendly and readable; (2) progressive prompting — does every command's output (human text AND the --json envelope) make the next step obvious so a user or agent never stalls; (3) workflow ergonomics — does a real goal take too many commands, calling for a new or consolidated command rather than another hint. Covers driving the full skill lifecycle on a scratch repo and an established one, logging each rough edge, and FIXING the CLI (next-step hints, richer action_required envelopes, friendlier output, new/merged commands) with a failing-test-first discipline using the…

Grade

D

Quality

57 / 100

Safety

Passed

GitHub stars

73

Unproven: rated by static analysis only, not yet compared head-to-head.

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