Synthetic demo report — no fake customer claim

Sample AI-Agent Change Risk Audit Report

A buyer-facing example of what the kit produces: risk level, findings, recommended action, and CI policy guidance.

← Back to product page

Executive summary

Risk level: HIGH

Recommended action: Block merge until the high-risk findings are reviewed.

The proposed AI-agent change touches dependency definitions, authentication-adjacent code, and runtime configuration. Even if the code compiles, this combination can create hidden supply-chain, secret-handling, and deployment risks.

Risk findings

1. Dependency change without owner review

Severity: High

New dependencies can introduce supply-chain risk, licensing issues, bundle bloat, or abandoned packages.

2. Secret-looking literal detected

Severity: High

Tokens, API keys, or credentials can be accidentally committed by an agent. Remove literals and rotate if any value may be real.

3. Source changed without tests

Severity: Medium

Agent-generated changes can look correct but miss edge cases. Add tests for changed behavior and negative paths.

Merge recommendation

BLOCK MERGE

Reason: one or more high-risk categories were detected. The change should be reviewed by a human maintainer before merge.

Suggested CI policy

  • Low risk: allow merge after normal checks.
  • Medium risk: require reviewer acknowledgement.
  • High risk: block merge until reviewed and documented.

Buyer value

Reduce hidden riskCatch risky agent changes before merge.
Save reviewer timeEscalate only diffs that need human attention.
Improve client deliveryUse a repeatable agency checklist.
Keep code localNo cloud upload, no API key, standard-library Python.

Get the kit

Start with Basic for a local risk gate, or Pro for agency/team workflows.

Buy Basic — $5 Buy Pro — $19

Manual delivery MVP. No fake automation claims. PayPal hosted checkout.