SKILL verified Apache-2.0 Self-run

Verify Ai Readiness

Name: Verify Ai Readiness
Availability: InStock
Author: kunalsuri

skill-kunalsuri-ai-fication-kit-verify-ai-readiness · by kunalsuri

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

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Install

$ agentstack add skill-kunalsuri-ai-fication-kit-verify-ai-readiness

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

✓ Prompt-injection patterns
✓ Secret / credential exfiltration
✓ Dangerous shell & filesystem operations
✓ Untrusted network calls
✓ Known-malicious package signatures

What it can access

✓ Network access No
✓ Filesystem access No
✓ Shell / process execution No
✓ Environment & secrets No
✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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), MODULEMAP coverage & verification ratio (% rows [verified]), FEATUREMAP/CATALOG coverage, conventions, diagrams, ai/lab/ activity. Evidence = file contents only; no speculation.

Output

Write ai/analysis/audit-reports/-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].

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Author: kunalsuri
Source: kunalsuri/ai-fication-kit
License: Apache-2.0

Install and usage instructions live in the source repository linked above.

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Versions

v0.1.0 Imported from the upstream source.