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.
npx agentmods add skills/vmdeshpande/ai-agent-automation/github-actions-docsnpx skills add vmDeshpande/ai-agent-automation --skill github-actions-docsgit clone --depth 1 https://github.com/vmDeshpande/ai-agent-automationWrote 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/skills/vmdeshpande/ai-agent-automation/github-actions-docs)<a href="https://agentmods.dev/skills/vmdeshpande/ai-agent-automation/github-actions-docs"><img src="https://agentmods.dev/badge/skills/vmdeshpande/ai-agent-automation/github-actions-docs.svg" alt="Measured on agentmods" 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 | $0.00078 | $0.01044 |
| Opus 5 | $0.00039 | $0.00522 |
| Sonnet 5 | $0.00016 | $0.00209 |
| Haiku 4.5 | $0.00008 | $0.00104 |
Grade A, and why
github-actions-docs 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 5d ago.
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.
Copies of this mod
4 near-identical copies found in the catalogue:
- github-actions-docs — 100% identical, 0 lines differ
- github-actions-docs — 100% identical, 0 lines differ
- github-actions-docs — 100% identical, 0 lines differ
- github-actions-docs — 94% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Actions questions are easy to answer from stale memory. Use this skill to ground answers in official GitHub documentation and return the closest authoritative page instead of generic CI/CD advice.
When to Use
Use this skill when the request is about:
- GitHub Actions concepts, terminology, or product boundaries
- Workflow YAML, triggers, jobs, matrices, concurrency, variables, contexts, or expressions
- GitHub-hosted runners, larger runners, self-hosted runners, or Actions Runner Controller
- Artifacts, caches, reusable workflows, workflow templates, or custom actions
- Secrets,
GITHUB_TOKEN, OpenID Connect, artifact attestations, or secure workflow patterns - Environments, deployment protection rules, deployment history, or deployment examples
- Migrating from Jenkins, CircleCI, GitLab CI/CD, Travis CI, Azure Pipelines, or other CI systems
- Troubleshooting workflow behavior when the user needs documentation, syntax guidance, or official references
Do not use this skill for:
- A specific failing PR check, missing workflow log, or CI failure triage. Use
gh-fix-ci. - General GitHub pull request, branch, or repository operations. Use
github. - CodeQL-specific configuration or code scanning guidance. Use
codeql. - Dependabot configuration, grouping, or dependency update strategy. Use
dependabot.
Workflow
1. Classify the request
Decide which bucket the question belongs to before searching:
- Getting started or tutorials
- Workflow authoring and syntax
- Runners and execution environment
- Security and supply chain
- Deployments and environments
- Custom actions and publishing
- Monitoring, logs, and troubleshooting
- Migration
If you need a quick starting point, load references/topic-map.md and jump to the closest section.
2. Search official GitHub docs first
- Treat
docs.github.comas the source of truth. - Prefer pages under https://docs.github.com/en/actions.
- Search with the user's exact terms plus a focused Actions phrase such as
workflow syntax,OIDC,reusable workflows, orself-hosted runners. - When multiple pages are plausible, compare 2-3 candidate pages and pick the one that most directly answers the user's question.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 99 lines · 78 tokens per session scan A 85f3e3135053
github-actions-docs is a skill published in the GitHub repository vmDeshpande/ai-agent-automation (178 stars, last pushed yesterday), licensed Apache-2.0. It adds 78 tokens to every session and 1,044 once invoked, about $0.0004 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 2026-08-30.
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