Free kit · Free
AI Agent Audit Kit: 50 Laws Edition
Use the audit skill free while we decide what should stay free and what should become paid.
An audit workflow for real AI agents. Run it on code repos, n8n or workflow exports, SDK and API projects, black-box transcript reviews, or client reports to find concrete failure modes and the fixes for them.
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, workflow nodes, retrieval, evals, traces, security boundaries, and human handoffs. The output is a prioritized issue list with evidence, fixes, and verification steps.
Free during launch
Use the skill files now.
The audit kit is public while we decide what should become paid. Install the skill, download the bundle, or use the copy-paste prompt where your agent already lives.
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. It is not a magic scanner. It reviews evidence from where the agent actually lives: code, workflow exports, prompts, tools, traces, evals, screenshots, or transcripts.
Included
- Installable ai-agent-audit skill
- Codex/Claude-ready skill folder
- Full 50-law audit rubric
- Repo, workflow, SDK/API, black-box, and client-report audit modes
- Agent audit intake checklist
- Platform-specific evidence checklist
- Audit report template
- Copy-paste audit prompt for non-Codex/Claude users
- Sample audit of a broken agent
- Codex/Claude install instructions
- Free public links to every skill file during launch
Works with
- Code repos in Codex or Claude Code
- n8n, Zapier, Make, Retool, Voiceflow, and Botpress exports
- OpenAI Agents SDK, Assistants, LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, and custom API stacks
- Black-box transcript or screenshot reviews when internals are unavailable
- Client-ready consulting or launch-readiness reports
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
Not a black box promise
With code, workflow exports, traces, and evals, the audit can be specific and high-confidence. With screenshots or transcripts only, it still helps, but it marks findings as observed risks or hypotheses instead of pretending to know the internals.
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
- Choose the audit mode: repo, workflow, SDK/API, black-box, or client report.
- Paste or point to the agent goal, system prompt, tool list, workflow export, retrieval setup, evals, and one or two traces.
- Run the included skill where you work, 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 the 50 Laws of AI Agents, plus the skill files and templates needed to turn the output into an actionable report.