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Github Workflows

Checked
d-o-hub·vlatest·backend·MIT

Automates GitHub workflow creation, modification, and troubleshooting based on project needs and d-o-hub best practices.

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 d-o-hub/rust-self-learning-memory --skill github-workflows -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

d-o-hub

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 d-o-hub/rust-self-learning-memory at da7210f59b.

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

Commit
da7210f59b
Manifest
.agents/skills/github-workflows/SKILL.md
Scanned
6 files, 1,499 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 an AI agent to interact with and manage GitHub Workflows. It can trigger workflows, check their status, and potentially retrieve results or logs from completed runs. This enables automation of build, test, and deployment processes directly within the agent's capabilities.

When to use it

  • Automated deployments: Trigger a workflow to deploy code changes to a staging or production environment after successful testing.
  • Continuous integration: Run automated tests on every commit to ensure code quality.
  • Scheduled tasks: Execute workflows at specific intervals, such as nightly database backups or report generation.
  • Responding to events: Initiate workflows based on GitHub events like pull request creation or issue assignment.

Key capabilities

  • Triggering Workflows
  • Checking Workflow Status
  • Retrieving Workflow Logs/Results (implied)

Example prompts

  • "Run the 'deploy-staging' workflow in repository [repository name]."
  • "What is the status of the 'test' workflow?"
  • "Get the logs from the last run of the 'build' workflow."

Tips & gotchas

Requires appropriate GitHub authentication and permissions for the AI agent to access and modify workflows. The specific commands available will depend on the actions defined within the target GitHub Workflows.