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Aws Codepipeline

Checked
thinkfleetai·vlatest·cloud

Provides AWS guidance and assistance for deploying and managing cloud infrastructure.

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 thinkfleetai/thinkfleet-engine --skill aws-codepipeline -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

thinkfleetai

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 thinkfleetai/thinkfleet-engine at 1256c5192f.

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

Commit
1256c5192f
Manifest
skills/aws-codepipeline/SKILL.md
Scanned
1 file, 47 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 allows AI agents to interact with AWS CodePipeline, a fully managed continuous delivery service. It enables the agent to trigger pipeline executions, retrieve pipeline status information, and potentially manage resources within a defined CodePipeline workflow. The agent can automate software release processes by leveraging existing pipelines or creating new ones based on user instructions.

When to use it

  • Automated deployments: Trigger a deployment of an application when code changes are merged into a repository.
  • Release management: Check the status of a CodePipeline and report progress to stakeholders.
  • Infrastructure as Code (IaC) updates: Automatically run pipelines that update infrastructure configurations defined in AWS CloudFormation or Terraform.
  • Troubleshooting deployments: Investigate failed pipeline executions and identify potential causes for errors.

Key capabilities

  • Triggering pipeline executions
  • Retrieving pipeline status information
  • Managing CodePipeline resources (implied)

Example prompts

  • "Run the 'ProductionDeployment' CodePipeline."
  • "What is the current status of the 'ReleaseCandidate' pipeline?"
  • “Create a new CodePipeline named ‘TestPipeline’ that deploys to the staging environment.”

Tips & gotchas

The agent requires appropriate AWS credentials with permissions to interact with CodePipeline. Ensure these credentials are securely managed and scoped appropriately for least privilege access.