All posts

Incident Response in Claude Skills, Explained

An offboarded contractor still has a Claude skill deployed in the production environment. The skill runs automatically whenever a webhook fires, pulling confidential customer data and sending it to an external endpoint. Because the skill was granted a static API token that never expires, the contractor’s departure does not revoke the token. The organization discovers the data exfiltration weeks later, but there is no log of what the skill executed, no way to tell which query retrieved the data,

Free White Paper

Cloud Incident Response + Just-in-Time Access: The Complete Guide

Architecture patterns, implementation strategies, and security best practices. Delivered to your inbox.

Free. No spam. Unsubscribe anytime.

An offboarded contractor still has a Claude skill deployed in the production environment. The skill runs automatically whenever a webhook fires, pulling confidential customer data and sending it to an external endpoint. Because the skill was granted a static API token that never expires, the contractor’s departure does not revoke the token. The organization discovers the data exfiltration weeks later, but there is no log of what the skill executed, no way to tell which query retrieved the data, and no mechanism to stop the skill without redeploying the entire service.

This situation illustrates the core problem of incident response for Claude Skills. The skill itself is a non‑human identity that initiates requests directly to Claude’s API. The existing setup can verify that the token belongs to a service account, but it provides no visibility into each request, no inline redaction of sensitive fields, and no just‑in‑time approval before a risky operation runs. In other words, the request still reaches Claude unmediated, leaving the incident response team blind to the exact command sequence and unable to intervene in real time.

Why the data path matters for incident response

Effective incident response requires a control point where every request can be inspected, recorded, and, when necessary, blocked or approved. The authentication layer (OIDC or SAML) can tell you *who* is making a request, but it cannot enforce policy on the payload itself. That enforcement must happen in the data path – the point where the request leaves the internal network and heads toward Claude’s service.

When a Claude skill sends a prompt, the gateway can capture the entire conversation, mask any PII that appears in the response, and require a human reviewer to approve high‑risk prompts before they are forwarded. Without that gateway, the skill’s activity remains an opaque black box, making post‑mortem analysis burdensome and real‑time containment impossible.

Introducing hoop.dev as the incident‑response gateway

hoop.dev is a Layer 7 gateway that sits between service identities and Claude’s API. By proxying every skill request, hoop.dev becomes the sole place where enforcement can occur. It records each session, enabling replay for forensic analysis. It masks sensitive fields in Claude’s responses, ensuring that downstream logs never contain raw personal data. It also supports just‑in‑time approval workflows, so a high‑risk prompt can be paused for a security analyst to review before Claude processes it.

Continue reading? Get the full guide.

Cloud Incident Response + Just-in-Time Access: Architecture Patterns & Best Practices

Free. No spam. Unsubscribe anytime.

Because hoop.dev holds the credential used to talk to Claude, the skill never sees the secret. This eliminates the risk of credential leakage from the skill code. The gateway’s policy engine can be configured to block commands that match known patterns of data exfiltration, providing an automatic containment layer.

How the architecture aligns with the three attribution categories

  • Setup: Identity providers such as Okta or Azure AD issue OIDC tokens for the service account that runs the Claude skill. These tokens define *who* the request is and whether it may start, but they do not enforce any data‑level policy.
  • The data path: hoop.dev sits in the data path, intercepting every HTTP request from the skill to Claude. This is the only place where masking, approval, and command blocking can be reliably applied.
  • Enforcement outcomes: hoop.dev records each session, masks sensitive output, requires just‑in‑time approval for risky prompts, and can block disallowed commands. Those outcomes exist only because hoop.dev occupies the data path.

Practical steps to get started

Begin by deploying hoop.dev using the official Docker Compose quick‑start. The deployment includes an OIDC configuration that integrates with your existing identity provider. Register the Claude endpoint as a connection in hoop.dev, and assign the service account’s credential to that connection. Once the gateway is running, update the skill’s configuration to point at the hoop.dev host instead of Claude directly. From that point forward, every request will be subject to the policies you define.

For detailed deployment instructions, see the getting‑started guide. The learn section provides deeper coverage of session recording, inline masking, and approval workflows.

FAQ

Can hoop.dev handle multiple Claude skills simultaneously?

Yes. Each skill registers as a separate connection, and policies can be scoped per‑skill or shared across a group of skills.

What happens if the gateway goes down?

Because hoop.dev holds the credential, a failure isolates the skill from Claude, preventing any further calls until the gateway is restored. This fail‑closed behavior limits exposure during an outage.

Is any data stored outside the gateway?

All session logs and masked outputs are retained by hoop.dev according to your retention policy. No raw credentials or unmasked responses are persisted.

Explore the source code on GitHub to see how you can tailor the gateway to your incident‑response workflow.

Open source

Save the open-source gateway for agent data access

Hoop is MIT-licensed infrastructure for controlling how AI agents reach production data. Star hoophq/hoop so you can inspect it, deploy it, or share it when your team starts governing agent access.

Star and save the repo →More posts