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Tfc Run Logs

Checked
laurigates·vlatest·cloud·MIT

This skill extracts key information from TensorFlow run logs, simplifying debugging and performance analysis for faster troubleshooting.

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 laurigates/claude-plugins --skill tfc-run-logs -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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
terraform-plugin/skills/tfc-run-logs/SKILL.md
Scanned
1 file, 142 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 enables AI agents to execute Terraform commands directly within their workflow, allowing them to manage infrastructure as code. It facilitates the running of specific Terraform operations like plan and apply to provision or modify cloud resources dynamically.

When to use it

  • Automating the deployment of new cloud resources without manual CLI intervention.
  • Triggering infrastructure updates based on configuration changes detected by the agent.
  • Validating Terraform plans before applying changes to ensure safety.
  • Integrating infrastructure management directly into development or DevOps pipelines.

Key capabilities

  • Executes Terraform commands programmatically.
  • Manages state files for tracking resource provisioning.
  • Supports standard Terraform operations such as plan, apply, and destroy.
  • Allows agents to interact with cloud providers via Terraform configurations.

Example prompts

  • "Use the tfc-run-logs skill to plan the deployment of a new VPC in AWS."
  • "Apply the recent changes to our infrastructure using Terraform."
  • "Check the current state of our production environment and apply any pending updates."

Tips & gotchas

Ensure your AI agent has proper permissions and access to the Terraform workspace before attempting execution. Always review generated plans carefully, as automated applications can lead to unintended resource modifications if not properly constrained.