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Skill

agent-dx-cli-scale

@google-labs-code Updated 2026-10-16

A scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles.

Install

With your agent

Install OMGSkills skill "google-labs-code/design.md:agent-dx-cli-scale" into this agent's normal skills directory: use the OMGSkills MCP get_skill tool, install only the pinned_install commit and path, verify SKILL.md against pinned_install.skill_md_sha, and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/google-labs-code/design.md /tmp/design.md && ln -s /tmp/design.md/.agents/skills/agent-dx-cli-scale ~/.claude/skills/agent-dx-cli-scale

From README

Agent DX CLI Scale Use this skill to evaluate any CLI against the principles of agent-first design. Score each axis from 0–3, then sum for a total between 0–21. Human DX optimizes for discoverability and forgiveness. Agent DX optimizes for predictability and defense-in-depth. — You Need to Rewrite Your CLI for AI Agents --- Scoring Axes Machine-Readable Output Can an agent parse the CLI's output without heuristics? | Score | Criteria | | ----- | ----------------------------------------------------------------------------------------------------- | | 0 | Human-only output (tables, color codes, prose). No structured format available. | | 1 | --output json or equivalent exists but is incomplete or inconsistent across commands. | | 2 | Consistent JSON output across all commands. Errors also return structured JSON. | | 3 | NDJSON streaming for paginated results. Structured output is the default in non-TTY (piped) contexts.