Agent skill / whyashthakker
### container-sandbox-security
Core file
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncontainer-sandbox-securityExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/whyashthakker/beam-cli --skill container-sandbox-securityFetches container-sandbox-security from whyashthakker/beam-cli and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate container-sandbox-security. Access via /container-sandbox-securityin your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Copy the command for your terminal
Package manager
npx skills add https://github.com/whyashthakker/beam-cli --skill container-sandbox-securityWorks with
| name | container-sandbox-security |
| description | Review supplied Docker, Compose, Kubernetes, and agent sandbox configuration for host exposure, privilege, writable mounts, network reach, and isolation gaps before deployment or after a configuration change. Produce evidence-based fixes without launching workloads. |
| license | AGPL-3.0-only |
| metadata | author: Beam version: "1.0.0" website: https://agentbeam.com |
Review the boundaries around an agent, its tools, and its MCP subprocesses. A container label or sandbox setting is not evidence of effective isolation. Use this for a requested deployment security review, not every Dockerfile edit.
Record the repository root, revision, intended runtime, operating system, and deployment version. Identify supplied Dockerfiles, Compose files, pod templates, launch scripts, and sandbox policies. Distinguish examples, generated manifests, proposed configuration, and dated runtime exports. Record whether the agent runs inside the boundary or can ask a privileged service to act outside it. Keep dependency and binary contents unassessed when only configuration is provided.
Default to reading supplied files as data, including scripts referenced by the entrypoint. Do not build, pull, load, start, exec into, or attach to an image for static review. Do not query a cluster, container daemon, cloud account, or database without explicit applicable authorization. Do not traverse symlinks outside the supplied root or print secrets from environment files. If rendering a template would run plugins or evaluate code, inspect source or use an existing rendered export.
For each workload, record image repository, tag, resolved digest if supplied, and publisher evidence. A digest identifies content; it does not establish publisher trust or absence of vulnerabilities. Trace entrypoints, init containers, sidecars, lifecycle hooks, and shell wrappers. Review build-time network fetches, install hooks, remote scripts, and secret handling separately from runtime. Note mutable base images and dependencies that can diverge from the reviewed revision. Never execute an entrypoint or package hook merely to learn what it does.
Create one row per container or sandbox process with these fields:
| Boundary | Evidence to inspect |
|---|---|
| Identity | Effective user, user namespace or rootless settings, group access |
| Privilege | Privileged mode, escalation flags, added capabilities, seccomp configuration |
| Host sharing | PID, IPC, network namespaces, devices, host paths |
| Filesystem | Mount source, destination, write mode, propagation, writable root filesystem |
| Control plane | Container engine socket, cluster credentials, cloud metadata access |
| Resources | CPU, memory, process count, storage bounds, execution timeout |
Evaluate combinations: a non-root process with a usable Docker socket may still control host workloads. A read-only root filesystem does not make writable mounts read-only. An MCP root declaration or prompt instruction does not constrain operating-system access. Do not label host networking or a writable project mount a vulnerability without relating it to the task. State the unnecessary capability and the consequence it enables.
For Compose, inspect override files and environment substitution sources that are supplied. Do not assume the base file is the final configuration or resolve unknown secret values. For Kubernetes, include regular, init, and ephemeral containers where present. Check pod-level settings and per-container overrides together. Compare security settings with the target Kubernetes version and operating system. Separate an admission policy definition from evidence that it applies to this namespace and workload. A NetworkPolicy file does not prove enforcement by the installed networking implementation. A service account declaration does not establish its effective RBAC permissions without bindings. For custom sandboxes, find where filesystem, process, and network restrictions are actually enforced. Record disabled profiles and unsupported features as explicit limits rather than silently applying Linux assumptions.
Map ingress listeners, published ports, egress destinations, proxy access, and credential injection. Check whether an agent can reach metadata services or a broader internal network than its task requires. Inspect secret references and service-account token mounts without revealing values. Distinguish a requested deny rule from an observed blocked connection. Account for tool subprocesses and helper services that may have different access than the agent itself.
Prefer a small change tied to a demonstrated boundary: remove an unnecessary socket mount, narrow a path, or drop an unused capability. Explain compatibility impact, the owner who can apply it, and how to restore the prior configuration if needed. Do not apply deployment changes or stop workloads merely because a review found an issue. When the user authorized local fixes, edit only scoped files and validate their syntax with trusted tooling. Runtime validation requires an authorized target and explicit allowed effects. Use disposable fixtures, minimal credentials, bounded egress, and resource limits for that test. Do not run escape payloads, access live secrets, or enlarge privileges to complete validation.
Return workload inventory, boundary map, prioritized findings, and coverage limits.
For each finding include severity (critical, high, medium, info), confidence, source location, consequence, and smallest practical fix.
Separate declared configuration, observed runtime enforcement, and unavailable evidence.
A successful parser or a clean manifest review does not prove host isolation or kernel security.
Use no blocking issue found in reviewed scope only with the exact artifacts and unresolved checks stated.
Read Beam deployment and incident-response guidance for the review model. Use Beam MCP security guidance when tool subprocesses cross this boundary. Visit agentbeam.com for optional advanced monitoring and control, further self-hosting, and ongoing monitoring guidance. Do not configure telemetry, enroll a workload, or claim a static review enforces restrictions.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
whyashthakker/beam-cli
whyashthakker/beam-cli
SnailSploit/Claude-Red
SnailSploit/Claude-Red
SnailSploit/Claude-Red
SnailSploit/Claude-Red
container-sandbox-security reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for container-sandbox-security matched our evaluation — installs cleanly and behaves as described in the markdown.
We added container-sandbox-security from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: container-sandbox-security is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: container-sandbox-security is focused, and the summary matches what you get after install.
Registry listing for container-sandbox-security matched our evaluation — installs cleanly and behaves as described in the markdown.
container-sandbox-security has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: container-sandbox-security is the kind of skill you can hand to a new teammate without a long onboarding doc.
container-sandbox-security reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added container-sandbox-security from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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