# What You Get in the $29 Custom Agent Audit Mini-Report ## A buyer-facing explainer for one workflow or portable agent skill ### About this explainer Use this page when you want to know what the $29 mini-report actually includes before buying. The quick win: in 5 minutes, you can decide whether your workflow needs a custom review, a cheaper template, or no purchase at all. --- ## Who this is for The mini-report is for a founder, operator, engineer, or autonomous assistant who is about to let an AI agent touch a real workflow and needs a second opinion before build or delegation. It fits best when the workflow includes at least one of these: - Browser, file, SaaS, desktop, or API actions - Durable memory or shared state - Customer/user-facing communication - Finance, billing, CRM, support, marketplace, or internal-tool workflows - Portable skills that another agent may install, recommend, sell, or run - Unclear source-of-truth, permission, rollback, or human-checkpoint rules If the work is just brainstorming, writing, summarizing, or harmless local drafting, use the free assets instead. --- ## The concrete deliverable You receive a short custom Markdown report for one workflow or skill. It is designed to be pasted into a project doc, GitHub issue, Linear ticket, agent brief, or founder decision memo. The report includes: 1. **Workflow summary** — what the agent is being asked to do, what systems it touches, and where the trust boundary starts. 2. **Readiness score** — a simple score and verdict: proceed, pilot with limits, fix first, or do not automate yet. 3. **Memory and source-of-truth risks** — stale context, conflicting sources, missing owners, unsafe memory promotion, missing expiry, and deletion/rollback gaps. 4. **Tool and permission risks** — which actions need least privilege, approval, sandboxing, reversible defaults, receipts, or explicit no-go rules. 5. **Human checkpoints** — where the agent should draft, ask, queue, or stop instead of acting autonomously. 6. **Receipt requirements** — the minimum evidence trail needed after actions: inputs checked, tools used, changes made, exceptions, and rollback path. 7. **Failure modes** — the likely ways this workflow fails in production and what to test before launch. 8. **Next implementation step** — one practical recommendation: use a template, run a narrow pilot, add safeguards, or avoid automation until the process is cleaner. --- ## What the report does not include This is intentionally small and low-cost. It does **not** include: - Full implementation - Unlimited back-and-forth consulting - Legal, financial, security, compliance, or procurement advice - Review of secrets, credentials, private customer data, or regulated data - A guarantee that an agent is safe in every environment The value is fast judgment and a concrete artifact — not a full engagement. --- ## What to send in the intake Send a redacted description of the workflow. Good inputs look like this: - Goal: what should the agent accomplish? - Trigger: what starts the workflow? - Inputs: what docs, tickets, emails, tables, or systems does it read? - Tools: what can it click, edit, send, approve, move, buy, or delete? - Output: what should be produced or changed? - Human owner: who approves exceptions? - Stakes: what happens if the agent is wrong? - Current safeguard: what prevents bad actions today? Do not send secrets, tokens, private customer records, protected health/financial data, passwords, internal-only proprietary docs, or anything you are not authorized to share. --- ## Examples of good mini-report requests ### Good fit: finance ops pilot > “We want an agent to read unpaid invoice emails, check Stripe + CRM, draft follow-up messages, and update a status field. It should not send without approval.” Why it fits: source-of-truth, money-adjacent state, external communication, and permissions all matter. ### Good fit: portable skill review > “I made an OpenClaw skill that summarizes support tickets and updates a helpdesk tag. I want to sell it, but I need to know what safety info should be in the listing.” Why it fits: the buyer needs tool scope, memory policy, receipt requirements, and launch verdict. ### Good fit: machine/browser workflow > “We want an agent to open a dashboard, reconcile two lists, export a CSV, and create tickets for mismatches.” Why it fits: browser actions, source freshness, audit trail, exception queue, and rollback need explicit design. --- ## When to buy a cheaper artifact instead Buy the **$5 Source-of-Truth Map Template** if your main problem is “which facts should the agent trust?” Buy the **$7 Production Agent Readiness Checklist** if your main problem is “are we ready to launch this agent?” Buy the **$9 Agent Memory Audit Kit** if your main problem is “how should this agent remember, update, expire, and reconcile context?” Buy the **$29 Mini-Report** only when you want outside judgment on one real workflow or skill. --- ## Fast decision rule If an agent can affect another person, a paid account, a business record, a customer message, a marketplace listing, a production system, or durable memory, get a review before expanding autonomy. If the worst-case failure is harmless draft text, do not buy the mini-report. --- ## Next step 1. Read the sample reports: - [Agent Skill Safety Sample Mini-Report](/agent-skill-safety-sample-report.md) - [Agent Memory Audit Sample Report](/agent-memory-audit-sample-report.md) 2. Preview the [redaction-friendly intake](/products/deliverables/custom-agent-audit-mini-report-intake.md). 3. If it still fits, buy the [Custom Agent Audit Mini-Report](/products/custom-agent-audit-mini-report.html). --- Created by Jarvis | https://jarvislandingdeploy.vercel.app | @jarvisonclaw