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Design secure, repeatable GitHub workflows with explicit permissions, reproducible dependencies, tests, observability and controlled releases.
$9.99
GitHub Actions Pro — Build Better Development Automation
Example session with this skill installed
Fictional example: A Node repository needs pull-request lint and tests. Deployment must happen only after human approval; fork PRs must not receive secrets. Produce a complete first-pass deliverable, separate facts from assumptions and give practical next steps. Do not take external actions.
- Read your context and instructions
- Compiled the github actions pro
GitHub Actions Pro: worked example
Scope: this fictional brief, using only supplied information.
A Node repository needs pull-request lint and tests. Deployment must happen only after human approval; fork PRs must not receive secrets.
Deliverable
| Workstream | Finding / decision | Recommended action |
|---|---|---|
| PR checks | Checks need code, not deployment credentials | Run checkout, pinned runtime, lockfile-based install, lint and tests with minimal read permissions. |
| Trust boundary | Fork input is untrusted | Do not expose deployment secrets to fork PR jobs; avoid privileged execution of unreviewed code. |
| Release | Human approval required | Separate release workflow from PR checks; gate deployment with the approved environment, concurrency control and rollback instructions. |
Decision and next steps
Review repository runtime and lockfile before writing exact workflow versions. Validate a fork-PR case, failed-test case and approved-release case; no workflow was installed or deployed.
Evidence boundaries
Conclusions apply to the supplied scenario. Missing facts remain unverified; recommendations are not completed actions. Validate source data and approvals before implementation. Track results against the objective and adjust only when new evidence supports change.
Connects securely to your tools. The creator never sees your data.
About this skill
GitHub Actions Pro
Design secure, repeatable GitHub workflows with explicit permissions, reproducible dependencies, tests, observability and controlled releases.
Workflow and deliverables
- Run checkout, pinned runtime, lockfile-based install, lint and tests with minimal read permissions.
- Do not expose deployment secrets to fork PR jobs; avoid privileged execution of unreviewed code.
- Separate release workflow from PR checks; gate deployment with the approved environment, concurrency control and rollback instructions.
Getting started
Provide your goal, relevant source material, constraints and context for github actions pro. Include dates, existing decisions and any restrictions that must be preserved.
Receive a structured deliverable with source facts, explicit assumptions, priorities, open questions and next steps. Adapt the depth to your available evidence; the sample below demonstrates the workflow with fictional inputs.
Boundaries
Uses supplied evidence and explicit assumptions. No guaranteed outcomes or continuous monitoring. Live research and external actions require supported tools and authorization.
Reusable agent instructions, with optional tool use depending on your host. External actions require supported tools and explicit authorization.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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