Devops
ListedAutomates MIB development, testing, and deployment pipelines for network device monitoring using AI insights.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aia-11-hn-mib/mib-mockinterviewaibot --skill devops -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aia-11-hn-mib
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 3 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: dl.google.com, sdk.cloud.google.com, slow-api.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
sdk.cloud.google.comundeclaredslow-api.comundeclareddl.google.comundeclaredWhat it found (3 of 4)
- .claude/skills/devops/SKILL.md:131contacts sdk.cloud.google.com
curl https://sdk.cloud.google.com | bash - .claude/skills/devops/references/cloudflare-workers-apis.md:212contacts slow-api.com
const response = await fetch('https://slow-api.com', { signal }); - .claude/skills/devops/references/gcloud-platform.md:9contacts dl.google.com
curl -O https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-cli-linux-x86_64.tar.gz
No pipe-to-shell installers: failed
Runs code fetched at install time in 1 place.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
What it found
- .claude/skills/devops/SKILL.md:131remote script piped into a shell
curl https://sdk.cloud.google.com | bash
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
Pinned to a commit: passed
Scanned aia-11-hn-mib/mib-mockinterviewaibot at 50ccfb2906.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 50ccfb2906
- Manifest
- .claude/skills/devops/SKILL.md
- Scanned
- 12 files, 3,193 lines
About this skill
What it does
This skill provides DevOps capabilities to an AI agent. It appears designed to assist with automating and streamlining development processes, though specific functionalities are not detailed in the provided source material. The focus seems to be on integrating DevOps practices into workflows supported by the AI agent.
When to use it
- Automating repetitive deployment tasks for a new software release.
- Generating infrastructure-as-code (IaC) configurations based on application requirements.
- Troubleshooting and diagnosing issues in a CI/CD pipeline.
- Creating documentation for DevOps processes and tools.
Key capabilities
- DevOps automation
- CI/CD pipeline support
- Infrastructure as Code generation
- Troubleshooting assistance
Example prompts
- "Generate Terraform code to deploy a Kubernetes cluster."
- "Explain the steps involved in setting up a CI/CD pipeline for this application."
- "What are common causes of failures in Jenkins jobs?"
Tips & gotchas
The skill's effectiveness likely depends on providing clear and specific instructions related to DevOps tasks. Due to limited information, it is recommended to start with simple requests and gradually increase complexity.