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 skills add hoangatg/ai-agent-toolkit --skill ci-cd-pipelinesgit clone --depth 1 https://github.com/hoangatg/ai-agent-toolkitWrote 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/hoangatg/ai-agent-toolkit/ci-cd-pipelines)<a href="https://agentmods.dev/skills/hoangatg/ai-agent-toolkit/ci-cd-pipelines"><img src="https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/ci-cd-pipelines/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/skills/hoangatg/ai-agent-toolkit/ci-cd-pipelines"><img src="https://agentmods.dev/badge/skills/hoangatg/ai-agent-toolkit/ci-cd-pipelines.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 | $0.00037 | $0.00804 |
| Opus 5 | $0.00018 | $0.00402 |
| Sonnet 5 | $0.00007 | $0.00161 |
| Haiku 4.5 | $0.00004 | $0.00080 |
Grade A, and why
ci-cd-pipelines 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CI/CD Pipelines
Every push should build, test, and potentially ship — automatically.
1. Platform Selection
| Platform | Best For |
|---|---|
| GitHub Actions | GitHub repos, marketplace ecosystem |
| GitLab CI | Self-hosted GitLab, built-in registry |
| CircleCI | Fast builds, Docker-native |
| Jenkins | Self-hosted, unlimited customization |
| Bitbucket Pipelines | Atlassian ecosystem |
2. Pipeline Design
Standard Stages
Push → Lint → Test → Build → Deploy (Preview) → Deploy (Production)
Stage Design
| Stage | Trigger | Fail = Block? |
|---|---|---|
| Lint | Every push | ✅ Yes |
| Unit Tests | Every push | ✅ Yes |
| Integration Tests | Every push | ✅ Yes |
| Build | Every push | ✅ Yes |
| E2E Tests | PR only | ⚠️ Warning |
| Preview Deploy | PR only | ❌ No |
| Production Deploy | Merge to main | ✅ Yes |
3. GitHub Actions Patterns
Key Concepts
| Concept | Purpose |
|---|---|
| Workflow | .yml file defining the pipeline |
| Job | Set of steps on one runner |
| Step | Individual command or action |
| Action | Reusable workflow unit |
| Matrix | Run same job with different configs |
| Cache | Speed up dependencies install |
Performance Optimization
| Technique | Impact |
|---|---|
| Dependency caching | 50-80% faster installs |
| Parallel jobs | Reduce total time |
| Conditional runs | Skip unnecessary steps |
| Reusable workflows | DRY pipeline code |
| Self-hosted runners | More power, less cost |
4. Testing in CI
| Test Type | When | Timeout |
|---|---|---|
| Lint | Always | 2 min |
| Unit | Always | 5 min |
| Integration | Always | 10 min |
| E2E | PR + main | 15 min |
| Visual regression | PR | 10 min |
5. Deployment Strategies
| Strategy | Risk | Use Case |
|---|---|---|
| Direct | High | Dev/staging |
| Blue/Green | Low | Zero-downtime |
| Canary | Very low | Gradual rollout |
| Feature flags | Lowest | Decouple deploy from release |
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.
- 9d ago First seen · 119 lines · 37 tokens per session scan A 63a42d669153
ci-cd-pipelines is a skill published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 804 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 2026-08-31.
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