Paid kit · $14.90
AI Agent Audit Kit: 50 Laws Edition
Audit your agent like a serious system before users, clients, or production traffic expose the weak points.
A field-tested bundle for builders who want AI agents that produce real results: installable audit skill, 50-law rubric, templates, examples, sample audit, and protected access to the illustrated digital edition.
Secure checkout
Pay once with PayPal or card. After capture, this browser unlocks the protected digital edition and your checkout email becomes the access email.
What it does
Turns the 50 laws into a repeatable audit for real AI agents.
Use the included skill or copy-paste prompt to inspect an agent's prompts, tools, retrieval, evals, traces, security boundaries, and human handoffs. The output is a prioritized issue list with evidence, fixes, and verification steps.
Why I made this
Agents are becoming how work gets done. Weak agents will quietly cost people money, trust, and time.
I made this because I kept seeing the same pattern while building and reviewing agent systems: the model was rarely the only problem. The real failures came from stale context, vague tools, weak retrieval, missing evals, unsafe permissions, and handoffs nobody had designed.
Agents matter because they are becoming an interface to real work. They read, decide, call tools, write to systems, and influence customers. A demo can look impressive while the system underneath is still fragile.
This bundle turns the online 50 Laws of AI Agents edition into a working audit process. You can point it at an agent you are building, find what is likely to break, and get concrete fixes that move the agent closer to producing real results.
Included
- Installable ai-agent-audit skill
- Codex/Claude-ready skill folder
- Full 50-law audit rubric
- Extra worked examples
- Agent audit intake checklist
- Audit report template
- Copy-paste audit prompt for non-Codex/Claude users
- Sample audit of a broken agent
- Codex/Claude install instructions
- Protected access to the illustrated online digital edition
Checks for
- Context, stale data, and long-context failure modes
- Tool design, scope creep, and deterministic boundary issues
- Retrieval, memory, and citation risks
- Eval blind spots, aggregate metrics, and regression gaps
- Prompt injection, exfiltration, and unsafe autonomy
What you get back
- A clearer map of where your agent is strong, fragile, or over-scoped
- A prioritized issue list tied to specific laws and concrete evidence
- Fixes for prompts, tools, retrieval, evals, permissions, and human review
- Verification steps so you can prove the fix worked instead of trusting vibes
Use it in 20 minutes
- Paste the agent goal, system prompt, tool list, retrieval setup, evals, and one or two traces.
- Run the included skill, or use the copy-paste prompt if your tool does not support skills.
- Review the ranked findings and choose the top 3 fixes that reduce the most risk.
- Use the report template to turn the audit into an implementation plan or client deliverable.
Best first use
Paste your agent's architecture, system prompt, tool list, retrieval design, eval setup, and one or two failed traces. Ask the skill to run the audit. It will map concrete issues to specific laws and return fixes you can implement.
Who this is for
AI engineers, founders, agencies, and indie builders who are already shipping or prototyping agent workflows and want a practical way to find reliability and safety problems before production traffic does.
What this is not
It is not a generic prompt pack, ebook, or PDF download. It is a structured audit workflow backed by protected access to the online 50 Laws of AI Agents edition, plus the skill files and templates needed to turn the output into an actionable report.