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Environment Triage

Checked
parcadei·vlatest·productivity·MIT

This skill quickly assesses and prioritizes environmental factors for a scenario, streamlining planning and resource allocation by identifying key concerns.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add parcadei/continuous-claude-v3 --skill environment-triage -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

parcadei

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned parcadei/continuous-claude-v3 at d07ff4b06b.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d07ff4b06b
Manifest
.claude/skills/environment-triage/SKILL.md
Scanned
1 file, 46 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill helps AI agents quickly assess and understand the state of a computing environment. It can identify running processes, available resources (like memory and disk space), and potential issues based on system metrics. The agent can then use this information to diagnose problems or prepare for tasks requiring specific environmental conditions.

When to use it

  • Troubleshooting: When an application is failing or behaving unexpectedly, the skill can provide diagnostic data to pinpoint the root cause.
  • Resource Planning: Before running a computationally intensive task (like training a model), assess available resources and identify potential bottlenecks.
  • Environment Setup: Verify that all necessary software and dependencies are installed and configured correctly before deploying an application.
  • Security Audits: Identify unusual or unauthorized processes running on the system, which could indicate a security breach.

Key capabilities

  • Process listing
  • Resource monitoring (memory, disk space)
  • System metric analysis
  • Issue identification based on metrics

Example prompts

  • "What's currently running on this server?"
  • "How much free memory is available?"
  • "Are there any processes consuming excessive CPU?"
  • “Show me the top 5 most resource-intensive processes.”

Tips & gotchas

The accuracy of the information provided depends on the agent’s access to system monitoring tools and permissions. Ensure the AI agent has appropriate privileges to gather the necessary data for a comprehensive environment assessment.