How to check agent changes for risky code for security engineers

How security engineers can review agent changes for risky code and compare tools that help flag them.

By SupaKeeper · 2026-10-27

SupaKeeper is published by LunarWerx, which makes some of the tools compared here.

To check agent changes for risky code, gather the changes each agent made, inspect what each change touches, use a tool or workflow that pairs failed commands with their fixes, then review cost and quota usage to spot unusual activity.

Option	What it can do	What to check
AgentHydra	Pairs each failed shell command with the command that fixed it, and can copy those pairs into a rules file for your agents. ^[1]	Check whether the failure and fix history covers the agents and sessions you need to review.
Existing security workflow	Use the logging and review methods already available in the workflow.	Check whether the current approach records failed commands and the fixes that followed.
Change review tool	A separate tool may provide a way to review agent changes.	Check the agents, change types, and details it supports before choosing it.

What you need before you start

Before checking agent changes, have a clear view of the work each agent has done and the files it touched. Security engineers should know which agents were active, which code areas they worked in, and what changed during a run.

Keep the outputs or logs that record each agent's actions. A useful review depends on being able to connect a change to the agent that made it.

The risky areas matter as much as the changes. Know which parts of the codebase hold sensitive data, configuration, or authentication logic, so these can be checked first.

Decide what to look for before starting. Common checks are unexpected edits to security-sensitive files, commands that failed during a session, and any hint that an agent ran outside its intended scope.

Check whether a tool gives the failure and fix details needed for a code review. Some tools pair each failed command with the command that fixed it, which makes that history easier to scan. ^[1]

Confirm that the tool runs on your machine and covers the agents you use. A review is only as complete as the change history it can read.

Step by step

List the sessions that ran during the work you need to review. Include every agent that touched the code so nothing is missed.

Open each session and view the changes it made. Focus first on files that hold sensitive data, configuration, or authentication logic.

Look for failed commands and what fixed them. A session that paired each failure with its working solution is easier to review for mistakes. ^[1]

Compare the changes against the intended task. Any edit that goes beyond the task description is a signal to look closer.

Review usage and quota for the session. Large or unusual spending relative to the task can point to an agent doing more work than planned.

Pull the failure and fix pairs out for your review if the tool allows it. These can also become part of a rules file for your agents. ^[1]

Recheck the approach when agent behavior changes. A review routine should grow with the way agents are used.

Tools that can do it

AgentHydra is made by the team that publishes this site.

AgentHydra pairs each failed shell command with the command that fixed it, and can copy those pairs out as a rules file for your agents. ^[1]

AgentHydra shows cost at API list prices by day, model, project and account. ^[1] It prints the same cost numbers as JSON from the command line. ^[1]

AgentHydra lists each Claude and Codex account with its plan and 5-hour and weekly quota. ^[1]

AgentHydra shows Claude Code, Codex and OpenCode sessions on your machine in one searchable list, updated live while they run. ^[1]

Other approaches include using the logs and views already available in a security workflow, or choosing a separate tool after checking which agents and change types it covers. Compare each option against the specific job of checking agent changes for risky code.

Common mistakes to avoid

Avoid checking changes without linking them to the agent that made them. A change is easier to judge when its source is clear.

Avoid reviewing only the successful commands. Failed commands and their fixes can point to problems, so they belong in the review. ^[1]

Avoid ignoring usage and quota signals. Unusual activity in cost or quota can show an agent working beyond its task.

Avoid assuming every tool records the same details. Check that the option captures changes, failures, and usage the way the review needs.

Avoid treating a single pass as enough. Risky code checks should be repeated as agents keep working.

Frequently asked questions

How can security engineers check agent changes for risky code?

Security engineers can check agent changes by gathering the sessions that ran during the work, reviewing the files each agent touched, and paying attention to commands that failed and how they were fixed. Usage and quota numbers can also point to an agent doing more than planned. The checks that matter are which agents were active, which files changed, and how those changes fit the task.

What should be checked before choosing a tool to review agent changes?

Check which agents and sessions the tool covers, and whether it records the details a code review needs. That includes the changes an agent made, the commands that failed, and the commands that fixed them. Also check whether it shows usage or quota numbers, since those can signal unusual activity. The tool should match how your agents work.

Does AgentHydra help review agent changes for risky code?

AgentHydra pairs each failed shell command with the command that fixed it, and can copy those pairs out as a rules file for your agents. ^[1] It also shows Claude Code, Codex and OpenCode sessions on your machine in one searchable list, updated live while they run. ^[1] AgentHydra shows cost at API list prices by day, model, project and account, and lists each Claude and Codex account with its plan and 5-hour and weekly quota. ^[1] ^[1] Whether it fits a review comes down to whether those details match the risky code checks being done.

Can a change review also check agent cost and quota?

Some tools report usage alongside the sessions and changes they show. Looking at cost and quota can reveal an agent that ran much longer or did much more than its task called for. The value depends on the tool recording those details and the review checking them. Not every tool shows the same usage information.

What mistakes should be avoided when reviewing agent changes?

Avoid reviewing changes without knowing which agent made them, and avoid skipping failed commands, since those can reveal problems and their fixes. Ignoring usage or quota signals can let unusual activity pass, and assuming every tool records the same details can leave gaps. A single pass is rarely enough; risky code checks should be repeated as agents keep working.

Free, with no account or subscription. ^[1]

Try AgentHydra

Sources

AgentHydra's own description of itself (the product of this site's publisher)