Agentic Plugin Marketplace is a collection of reusable plugins, agents, skills, commands, and rules for coding-agent tools including Claude Code, Codex CLI, Cursor, OpenCode, Antigravity CLI, and GitHub Copilot. It is for developers assembling agentic workflows across multiple harnesses from shared Markdown sources, and the catalogue entries are examples or subsets of those workflow components.
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 wshobson/agents --skill deployment-pipeline-designgit clone --depth 1 https://github.com/wshobson/agentsWrote 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/wshobson/agents/deployment-pipeline-design)<a href="https://agentmods.dev/skills/wshobson/agents/deployment-pipeline-design"><img src="https://agentmods.dev/badge/skills/wshobson/agents/deployment-pipeline-design/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/wshobson/agents/deployment-pipeline-design"><img src="https://agentmods.dev/badge/skills/wshobson/agents/deployment-pipeline-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00058 | $0.01089 |
| Opus 5 | $0.00029 | $0.00544 |
| Sonnet 5 | $0.00012 | $0.00218 |
| Haiku 4.5 | $0.00006 | $0.00109 |
Grade A, and why
deployment-pipeline-design 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 6d 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
2 near-identical copies found in the catalogue:
- deployment-pipeline-design — 100% identical, 0 lines differ
- deployment-pipeline-design — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deployment Pipeline Design
Architecture patterns for multi-stage CI/CD pipelines with approval gates, deployment strategies, and environment promotion workflows.
Purpose
Design robust, secure deployment pipelines that balance speed with safety through proper stage organization, automated quality gates, and progressive delivery strategies. This skill covers both the structural design of pipeline architecture and the operational patterns for reliable production deployments.
Input / Output
What You Provide
- Application type: Language/runtime, containerized or bare-metal, monolith or microservices
- Deployment target: Kubernetes, ECS, VMs, serverless, or platform-as-a-service
- Environment topology: Number of environments (dev/staging/prod), region layout, air-gap requirements
- Rollout requirements: Acceptable downtime, rollback SLA, traffic splitting needs, canary vs blue-green preference
- Gate constraints: Approval teams, required test coverage thresholds, compliance scans (SAST, DAST, SCA)
- Monitoring stack: Prometheus, Datadog, CloudWatch, or other metrics sources used for automated promotion decisions
What This Skill Produces
- Pipeline configuration: Stage definitions, job dependencies, parallelism, and caching strategy
- Deployment strategy: Chosen rollout pattern with annotated configuration (canary weights, blue-green switchover, rolling parameters)
- Health check setup: Shallow vs deep readiness probes, post-deployment smoke test scripts
- Gate definitions: Automated metric thresholds and manual approval workflows
- Rollback plan: Automated rollback triggers and manual runbook steps
When to Use
- Design CI/CD architecture for a new service or platform migration
- Implement deployment gates between environments
- Configure multi-environment pipelines with mandatory security scanning
- Establish progressive delivery with canary or blue-green strategies
- Debug pipelines where stages succeed but production behavior is wrong
- Reduce mean time to recovery by automating rollback on metric degradation
What ships with it
2 files 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.
- 6d ago First seen · 107 lines · 58 tokens per session scan A 9a56bd9401c1
deployment-pipeline-design is a skill published in the GitHub repository wshobson/agents (39,505 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 1,089 once invoked, about $0.0003 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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