Verify ai readiness

Skill kunalsuri/ai-fication-kit/templates/claude/skills/verify-ai-readiness

Holistic assessment of the AI knowledge layer on a 5-level maturity scale; flags agent-blocking gaps.From its SKILL.md

Install

npx -y skills add kunalsuri/ai-fication-kit --skill verify-ai-readiness

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.4 KB, 294 tokens by cl100k_base, as published. Nobody here has run it

Assess how ready this repository is for agentic work. Read-only; output one report.

The maturity scale

Level 0 — Opaque. No agent entry files; agents crawl and guess.
Level 1 — Scaffolded. Kit installed; maps exist but are placeholders.
Level 2 — Drafted. /cold-start ran; maps populated but [inferred].
Level 3 — Verified. Human audit done: Stability set, core rows [verified]. The minimum bar for letting an agent build features.
Level 4 — Maintained. Feature catalog exists; knowledge updated on merge; audits recur; evaluations recorded in ai/lab/.

Method

Score each: entry files (CLAUDE.md/AGENTS.md), MODULE_MAP coverage & verification ratio (% rows [verified]), FEATURE_MAP/CATALOG coverage, conventions, diagrams, ai/lab/ activity. Evidence = file contents only; no speculation.

Output

Write ai/analysis/audit-reports/<YYYY-MM-DD>-readiness.md: overall level, per-area table (area · evidence · level), the SINGLE most valuable next action, and any agent-blocking gaps (anything that would make a feature build unsafe today). Tag the report [inferred].

What ships with it

Read from the repository