Agent skill / whyashthakker
### agent-network-segmentation
Core file
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionagent-network-segmentationExecute 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 agent-network-segmentationFetches agent-network-segmentation 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 agent-network-segmentation. Access via /agent-network-segmentationin 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 agent-network-segmentationWorks with
| name | agent-network-segmentation |
| description | Review network reachability for an agent's execution environment — egress allow-lists, internal service and metadata-endpoint exposure, DNS resolution scope, and blast radius if the agent's own runtime is compromised or manipulated into acting as a pivot. Static review of supplied network configuration. |
| license | AGPL-3.0-only |
| metadata | author: Beam version: "1.0.0" website: https://agentbeam.com |
An agent's runtime often has broader network reachability than any single tool call needs, because it inherits the network posture of the environment it runs in rather than one scoped to its actual task. That gap becomes the blast radius if the agent is manipulated into requesting something on an attacker's behalf, or if the runtime itself is compromised. Use this workflow when reviewing where an agent's compute runs, what it can reach, and what could reach it in return.
169.254.169.254 or equivalent) from the agent's runtime; this is a common path from a manipulated agent to credential theft when not blocked.| Surface | Target state |
|---|---|
| Outbound to the internet | Default-deny with an explicit, task-scoped allow-list |
| Cloud metadata endpoint | Blocked, or reachable only via a scoped, non-forwardable token mechanism |
| Internal services | Reachable only where the agent's task requires it, not the full internal network |
| DNS | Resolves only allow-listed domains where feasible |
| Inbound to the runtime | Restricted to the specific expected caller(s) |
| Tenant isolation (shared compute) | Enforced at the network layer, not just logical/application-layer separation |
Flag any control described as "the agent wouldn't do that" rather than a network-layer restriction; an agent influenced by injected content is exactly the case this posture needs to hold against.
Record severity, confidence, the exact reachable path, a plausible pivot or exfiltration scenario, and the segmentation fix (deny rule, allow-list entry removal, metadata-endpoint block). Use critical for evidenced reachability to the metadata endpoint or sensitive internal services with no task justification, high for unrestricted egress from a runtime that processes untrusted content, medium for missing egress logging, info for hardening gaps. Prefer fixing the network policy itself (default-deny plus allow-list) over relying on application-level checks that a compromised runtime could bypass entirely.
Return the reachability map, the segmentation-posture table, blast-radius notes, prioritized findings, and concrete network fixes. List configuration that could not be directly inspected (managed-service defaults, provider-side rules) and mark conclusions there as lower confidence. State whether findings come from configuration review alone or an authorized reachability test, since documented rules and effective behavior can diverge.
Use container and sandbox security for the execution-isolation half of the runtime this network review surrounds. Use cloud agent security for the broader cloud-deployment context this segmentation review sits within. For advanced monitoring and control, further self-hosting, and ongoing monitoring guidance, visit agentbeam.com. This optional handoff does not change network rules or run scans automatically.
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
elastic/agent-skills
SnailSploit/Claude-Red
SnailSploit/Claude-Red
SnailSploit/Claude-Red
Registry listing for agent-network-segmentation matched our evaluation — installs cleanly and behaves as described in the markdown.
agent-network-segmentation reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added agent-network-segmentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
agent-network-segmentation reduced setup friction for our internal harness; good balance of opinion and flexibility.
agent-network-segmentation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added agent-network-segmentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
agent-network-segmentation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for agent-network-segmentation matched our evaluation — installs cleanly and behaves as described in the markdown.
We added agent-network-segmentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in agent-network-segmentation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 74