cold-start-interview

cold-start-interview is a Claude Code configuration skill for AI agents, published by t0ddc3by in the claude-for-customer-success repository on GitHub. Skillspace rates cold-start-interview C (70/100) and it passed the safety scan; the rating is based on static analysis only.

Run the CS-Ops plugin configuration interview — collects CS data model, metrics definitions, tooling stack, health model governance, reporting cadence, and team structure to produce the cs-ops practice config file. Runs automatically on first use of any cs-ops skill when config is missing. Distinct from the CSM plugin's cold-start-interview skill (which configures the CSM skill set for account-level execution); this skill configures the CS-Ops plugin (portfolio analytics, capacity planning, data quality).

Grade

C

Quality

70 / 100

Safety

Passed

GitHub stars

57

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

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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