Container Registry Management
CheckedAutomates container image pushing, pulling, tagging, and deletion within specified registry repositories.
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 aj-geddes/useful-ai-prompts --skill container-registry-management -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
aj-geddes
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 8 files, 589 lines
About this skill
What it does
This skill automates container image management within specified registries, encompassing a range of operations like pushing, pulling, tagging, and deleting images. It enables comprehensive registry management features including image scanning for vulnerabilities, implementing retention policies, managing access control, and setting up multi-region replication. The skill supports detailed implementations using AWS ECR (Elastic Container Registry).
When to use it
- Managing container image storage and distribution.
- Performing security scans and ensuring compliance with regulatory requirements.
- Implementing automated image retention and cleanup processes.
- Controlling access to your container registry.
- Deploying applications across multiple regions.
Key capabilities
- Image scanning for vulnerabilities.
- Implementation of image retention policies.
- Management of registry access control.
- Multi-region replication of images.
- Support for AWS ECR setup and management.
- Image signing and verification (using Notary).
- Image tag immutability.
Example prompts
- "Set up an ECR repository named 'myapp' in the us-east-1 region."
- "Implement a retention policy to delete images older than 30 days from the registry."
- "Enable image scanning on push for all new images uploaded to the registry."
Tips & gotchas
- This skill requires familiarity with AWS ECR and related concepts.
- Refer to the reference guides within the skill's repository for detailed implementation instructions.
- Ensure proper IAM roles are configured to grant the necessary permissions for registry access and management.