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.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 5.1 | $0.00015 | $0.01164 |
| Opus 5 | $0.00008 | $0.00582 |
| Sonnet 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 3d 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.
- 3d ago First seen · 187 lines · 15 tokens per session scan A f34206eb88e1
deploy-gen is a skill published in the GitHub repository jmagly/aiwg (209 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. 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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