Deep_Health_Check
CheckedDeep_Health_Check analyzes data for comprehensive insights, identifying potential issues and boosting proactive health management decisions.
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 davidcastagnetoa/skills --skill deep_health_check -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
davidcastagnetoa
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 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 davidcastagnetoa/skills at bd906f22af.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- bd906f22af
- Scanned
- 1 file, 136 lines
About this skill
What it does
The deep_health_check skill performs a comprehensive assessment of an AI agent's operational status. It goes beyond basic checks to identify potential issues impacting performance and reliability, providing detailed reports on system resources, dependencies, and configuration settings. This allows for proactive problem identification and resolution before they impact user experience or critical workflows.
When to use it
- Scheduled Maintenance: Integrate into regular maintenance routines to proactively detect and address underlying issues.
- Post-Deployment Verification: After deploying updates or changes, verify the agent's stability and functionality.
- Performance Degradation Investigation: Use when an AI agent exhibits unexpected slowdowns or errors.
- Troubleshooting Complex Issues: When diagnosing difficult problems that may stem from system configuration or dependencies.
Key capabilities
- System resource monitoring (CPU, memory, disk)
- Dependency status verification
- Configuration setting validation
- Detailed reporting of findings
Example prompts
- "Run a deep health check on the agent and report any issues."
- "Perform a comprehensive system assessment and flag potential risks to stability."
- “Generate a detailed report on the agent’s current configuration and dependencies.”
Tips & gotchas
The skill requires sufficient permissions to access system resources and configurations. Review the documentation for specific permission requirements before installation and use.