Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/kunalsuri/ai-fication-kitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/kunalsuri/ai-fication-kit/verify-ai-readiness)<a href="https://agentmods.dev/rules/kunalsuri/ai-fication-kit/verify-ai-readiness"><img src="https://agentmods.dev/badge/rules/kunalsuri/ai-fication-kit/verify-ai-readiness.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.00326 |
| Opus 5 | $0.00011 | $0.00163 |
| Sonnet 5 | $0.00004 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
verify-ai-readiness scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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 this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 28 lines · 22 tokens per session scan A c0a05796b692
verify-ai-readiness is a cursor rule published in the GitHub repository kunalsuri/ai-fication-kit (3 stars, last pushed 4d ago), licensed Apache-2.0. It adds 22 tokens to every session and 326 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
caveman
Respond terse like smart caveman. All technical substance stay. Only fluff die.
full-output-enforcement
Yapay zeka asistanının kod üretimi ve açıklamalarında hiçbir zaman kısaltma, atlama veya eksik bilgi vermemesini sağlayan meta-yetenek. "Geri kalanı aynı", "..." gibi tembel çıktıları engeller.
caveman-help
Display this reference card when invoked. One-shot — do NOT change mode, write flag files, or persist anything. Output in caveman style.
caveman-stats
This skill is delivered by hooks/caveman-stats.js (read by hooks/caveman-mode-tracker.js on /caveman-stats). The model does not need to do anything when this skill fires — the hook returns decision: "block" with the formatted stats as the reason. The user sees the numbers immediately.
03-tool-usage
Efficient tool usage patterns for navigating and editing this repository.
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.