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Axiom Sre

Official
axiomhq·vlatest·devops·MIT

Axiom SRE automates infrastructure monitoring & remediation, proactively preventing issues and ensuring application stability for faster deployments.

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 axiomhq/skills --skill axiom-sre -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

axiomhq

Matched to the vendor's own GitHub organisation.

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 axiomhq/skills at a3ea3f29a0.

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

Commit
a3ea3f29a0
Manifest
skills/sre/SKILL.md
Scanned
25 files, 4,363 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, axiom-sre, provides Site Reliability Engineering (SRE) capabilities to AI agents. It can analyze system logs and metrics to identify potential issues, automate remediation tasks based on defined policies, and provide insights into overall system health. The tool aims to proactively prevent incidents and improve the reliability of deployed systems.

When to use it

  • Incident Response: Quickly diagnose and resolve production incidents by analyzing relevant data streams.
  • Proactive Monitoring: Identify potential problems before they impact users through automated analysis of logs and metrics.
  • Automation of Remediation: Automatically execute pre-defined actions to fix common issues, reducing manual intervention.
  • Performance Optimization: Analyze system performance data to identify bottlenecks and areas for improvement.

Key capabilities

  • Log Analysis
  • Metrics Monitoring
  • Automated Remediation
  • Incident Response Automation
  • System Health Insights

Example prompts

  • "Analyze the last hour of server logs for error patterns."
  • "What are the top 5 contributing factors to increased latency in the database?"
  • "Automatically restart service 'payment-processor' if CPU utilization exceeds 90%."

Tips & gotchas

The skill requires access to system logs and metrics data sources. Ensure proper permissions and configurations are in place before deployment for optimal performance and accurate analysis.