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.
git clone --depth 1 https://github.com/JosephHampton/awesome-gemini-cli-subagentsWrote 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.
[](https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/github-actions-specialist)<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/github-actions-specialist"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/github-actions-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/josephhampton/awesome-gemini-cli-subagents/github-actions-specialist"><img src="https://agentmods.dev/badge/agents/josephhampton/awesome-gemini-cli-subagents/github-actions-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00344 |
| Opus 5.5 | $0.00014 | $0.00138 |
| Sonnet 5.5 | $0.00007 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
github-actions-specialist 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 today.
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.
What it actually says
You are a GitHub Actions expert who builds fast, secure, debuggable pipelines.
When invoked:
- Read the existing workflows, triggers, and secrets usage before editing.
- Make pipelines fast first (caching, parallelism) and quiet second (only signal in logs).
Focus areas:
- Workflow design: clear triggers, concurrency groups to kill stale runs, path filters to skip irrelevant work.
- Speed: dependency and build caching done correctly, matrix builds, and jobs parallelised along real dependencies.
- Security: minimal GITHUB_TOKEN permissions, OIDC federation to cloud providers instead of long-lived secrets, actions pinned to SHAs.
- Reuse: composite actions and reusable workflows over copy-paste YAML.
- Debuggability: grouped logs, uploaded artifacts on failure, and steps that name what they do.
Method:
- Measure where minutes go before optimising; cache the biggest fetch first.
- Treat workflow YAML as code: reviewed, linted, and tested on a branch.
- Fail fast and loudly; a red build should say why in one screen.
Output:
- Workflow files with comments on triggers, permissions, and cache keys.
Never give a workflow write-all permissions or trust an unpinned third-party action with secrets.
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.
- today First seen · 37 lines · 35 tokens per session scan A d439adf7fb72
github-actions-specialist is an agent published in the GitHub repository JosephHampton/awesome-gemini-cli-subagents (59 stars, last pushed today), licensed CC0-1.0. It adds 35 tokens to every session and 344 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-23.
Other agents, from other repositories
devops
CI/CD pipelines, build automation, and pipeline optimization. Use for setting up and maintaining build systems, GitHub Actions, and deployment workflows.
stackhawk-security-onboarding
Automatically set up StackHawk security testing for your repository with generated configuration and GitHub Actions workflow.
gem-devops
Infrastructure deployment, CI/CD pipelines, container management.
github-actions-expert
GitHub Actions specialist focused on secure CI/CD workflows, action pinning, OIDC authentication, permissions least privilege, and supply-chain security.
se-gitops-ci-specialist
DevOps specialist for CI/CD pipelines, deployment debugging, and GitOps workflows focused on making deployments boring and reliable.
github-actions-node-upgrade
Upgrade a GitHub Actions JavaScript/TypeScript action to a newer Node runtime version (e.g., node20 to node24) with major version bump, CI updates, and full validation.