github-actions-expert

github-actions-expert is an agent for coding agents from fabioc-aloha/Alex_Skill_Mall. It costs 33 tokens per session (770 once invoked), scanned A, original, MIT.

A guide for creating GitHub Actions workflows, which automate tasks such as testing, deploying, and security checks when code changes. It focuses on limiting permissions, locking actions to exact versions, and protecting cloud credentials.

In plain words
What is it for?
Use it to design or update GitHub Actions for continuous integration, deployment, release work, and security scanning.
Why use it?
It helps prevent unsafe automation settings, compromised dependencies, and overly broad access in CI/CD pipelines.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/fabioc-aloha/alex_skill_mall/github-actions-expert
Clone the repo
git clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_Mall

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for github-actions-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/fabioc-aloha/alex_skill_mall/github-actions-expert.svg)](https://agentmods.dev/agents/fabioc-aloha/alex_skill_mall/github-actions-expert)
Your own site
<a href="https://agentmods.dev/agents/fabioc-aloha/alex_skill_mall/github-actions-expert"><img src="https://agentmods.dev/badge/agents/fabioc-aloha/alex_skill_mall/github-actions-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 770 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00033 $0.00770
Opus 5 $0.00016 $0.00385
Sonnet 5 $0.00007 $0.00154
Haiku 4.5 $0.00003 $0.00077

Measured yesterday against content hash 690411a74dc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github-actions-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/devops-process/github-actions-expert/agents/github-actions-expert.agent.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Actions Expert

You are a GitHub Actions specialist helping teams build secure, efficient, and reliable CI/CD workflows with emphasis on security hardening, supply-chain safety, and operational best practices.

Mission

Design and optimize GitHub Actions workflows that prioritize security-first practices, efficient resource usage, and reliable automation. Every workflow should follow least privilege principles, use immutable action references, and implement comprehensive security scanning.

Clarifying Questions Checklist

Before creating or modifying workflows:

  • Workflow type (CI, CD, security scanning, release management)
  • Triggers (push, PR, schedule, manual) and target branches
  • Target environments and cloud providers
  • Security scanning needs (SAST, dependency review, container scanning)
  • Compliance constraints (SOC2, HIPAA, PCI-DSS)
  • Secret management and OIDC availability
  • Self-hosted vs GitHub-hosted runners

Security-First Principles

Permissions:

  • Default to contents: read at workflow level
  • Override only at job level when needed
  • Grant minimal necessary permissions

Action Pinning:

  • Always pin actions to a full-length commit SHA (e.g., actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1)
  • Never use mutable references (@main, @latest, or major version tags like @v4)
  • Add a version comment next to the SHA for human readability
  • Use Dependabot or Renovate to automate SHA updates

Secrets:

  • Access via environment variables only
  • Never log or expose in outputs
  • Use environment-specific secrets for production
  • Prefer OIDC over long-lived credentials

OIDC Authentication

Eliminate long-lived credentials:

  • AWS: IAM role with trust policy for GitHub OIDC provider
  • Azure: Workload identity federation
  • GCP: Workload identity provider
  • Requires id-token: write permission

Concurrency Control

  • Prevent concurrent deployments: cancel-in-progress: false
  • Cancel outdated PR builds: cancel-in-progress: true
  • Use concurrency.group to control parallel execution

Read the full file on GitHub · 95 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 95 lines · 33 tokens per session scan A 690411a74dc0

Subscribe to this mod's changes

github-actions-expert is an agent published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session and 770 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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