Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jmagly/aiwgnpx agentmods add skills/jmagly/aiwg/deploy-genWrote 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/jmagly/aiwg/deploy-gen)<a href="https://agentmods.dev/skills/jmagly/aiwg/deploy-gen"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/deploy-gen/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/jmagly/aiwg/deploy-gen"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/deploy-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00015 | $0.01164 |
| Opus 5.5 | $0.00006 | $0.00466 |
| Sonnet 5.5 | $0.00003 | $0.00233 |
| Haiku 4.5 | $0.00002 | $0.00116 |
Grade A, and why
deploy-gen 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 1mo 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill access pattern (post-kernel-pivot, 2026.5+)
Skill names referenced in this document are AIWG skills, not slash commands. Most are not kernel-listed and cannot be invoked as
/skill-nameby the platform. Reach them via:aiwg discover "<capability>" aiwg show skill <name>Only kernel-listed skills (
aiwg-doctor,aiwg-refresh,aiwg-status,aiwg-help,use,steward) are directly invokable as slash commands. See skill-discovery rule.
Deploy Generator
Generate production-ready deployment configurations based on project analysis.
Research Foundation
REF-001: BP-8 - Containerized Deployment
"Production-grade agentic workflows require containerized deployment with proper isolation, resource management, and orchestration."
Usage
/deploy-gen docker [options]
/deploy-gen k8s [options]
/deploy-gen compose [options]
Arguments
| Argument | Required | Description |
|---|---|---|
| type | Yes | Deployment type: docker, k8s, compose |
Options
| Option | Default | Description |
|---|---|---|
| --output | ./deploy/ | Output directory for generated files |
| --app-name | (from package.json) | Application name |
| --port | 3000 | Application port |
| --multi-stage | true | Use multi-stage Dockerfile |
| --health-check | true | Include health check endpoints |
Process
1. Project Analysis
Detect project characteristics:
Analyzing project...
- Runtime: [node/python/go/java]
- Package manager: [npm/yarn/pip/go mod]
- Entry point: [detected or ask]
- Dependencies: [count]
- Build required: [yes/no]
2. Template Selection
Choose appropriate templates based on analysis:
| Runtime | Template |
|---|---|
| Node.js | templates/deploy/docker/node.Dockerfile |
| Python | templates/deploy/docker/python.Dockerfile |
| Go | templates/deploy/docker/go.Dockerfile |
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.
- 1mo ago First seen · 187 lines · 15 tokens per session scan A f34206eb88e1
deploy-gen is a skill published in the GitHub repository jmagly/aiwg (224 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 1,164 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 2026-09-03.
Other skills, from other repositories
scaffold
Provisioning infrastructure via cloud IaC (Terraform/OpenTofu/CloudFormation/Pulumi) and local dev environments (Docker Compose, env vars). Use for IaC design or multi-cloud provisioning.
gear
Managing dependencies, CI/CD, advanced GitHub Actions workflows, containers, secrets, and operational config. Use for build, workflow, or environment work.
ledger
Optimizing FinOps and cloud cost: IaC-based estimation, right-sizing, RI/SP recommendations, anomaly detection, budget alerts, AI/GPU workload economics. Use to forecast or cut cloud spend.
pentest-cloud-infrastructure
Cloud security posture management and container security assessment for AWS, Azure, GCP, and Kubernetes.
mend
Remediating known failure patterns automatically from Triage diagnoses and Beacon alerts: runbooks with safety-tier classification, staged verification, rollback. Use for automated remediation.
deploy-mcp
Deploy the FutureSearch MCP server to staging or production on GKE. Use when the user wants to deploy, redeploy, roll back, scale replicas, or check deployment status. Triggers on deploy, redeploy, staging, production, rollout, scale, replicas.