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/stefanthecode/dotnet-ai-toolkit/dockerfile-generatornpx skills add StefanTheCode/dotnet-ai-toolkit --skill dockerfile-generatorgit clone --depth 1 https://github.com/StefanTheCode/dotnet-ai-toolkitWhat 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 | $0.00109 | $0.00697 |
| Opus 5 | $0.00055 | $0.00349 |
| Sonnet 5 | $0.00022 | $0.00139 |
| Haiku 4.5 | $0.00011 | $0.00070 |
Grade A, and why
dockerfile-generator 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 2d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dockerfile Generator
Produce a production-grade multi-stage Dockerfile for a .NET app: fast cached builds, a small secure runtime image, and a non-root user.
Input — point it at your project
Works on a target: a project/solution or GitHub URL. Detect the entry project and TFM: find <target> -name "*.csproj" and read <TargetFramework>. Note solution layout for correct copy/restore.
Multi-stage Dockerfile
# build
FROM mcr.microsoft.com/dotnet/sdk:9.0 AS build
WORKDIR /src
COPY ["MyApp/MyApp.csproj", "MyApp/"]
RUN dotnet restore "MyApp/MyApp.csproj" # restore as its own layer = cached unless csproj changes
COPY . .
RUN dotnet publish "MyApp/MyApp.csproj" -c Release -o /app/publish /p:UseAppHost=false
# runtime (small + non-root)
FROM mcr.microsoft.com/dotnet/aspnet:9.0-noble-chiseled AS final
WORKDIR /app
COPY --from=build /app/publish .
USER $APP_UID # non-root (chiseled images set this)
EXPOSE 8080
ENTRYPOINT ["dotnet", "MyApp.dll"]
.dockerignore (don't ship junk / bloat context)
**/bin/
**/obj/
**/.vs/
**/.git/
**/*.user
Dockerfile*
Image-size options (smallest → most compatible)
-chiseled— minimal, no shell, non-root by default. Best default for services.-alpine— small, musl libc (watch native deps).-noble/standard — largest, most compatible.- AOT +
runtime-depsfor tiny self-contained images when the app is AOT-compatible.
Principles
- Restore before copying source so dependency layers cache (huge build-time win).
- Run as non-root — chiseled images do this for you.
- Smallest base that runs your app — chiseled/distroless reduce attack surface.
- Keep the build context lean with
.dockerignore. - Pin base image tags; don't use
latestin production.
How to use it & best prompts
"Dockerize this .NET app", "give me a multi-stage Dockerfile", "shrink my image / use a chiseled image", "non-root container for my service". Pairs with cicd-pipeline-generator and microservice-template-generator.
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.
- 2d ago First seen · 59 lines · 109 tokens per session scan A eed51abb9307
dockerfile-generator is a skill published in the GitHub repository StefanTheCode/dotnet-ai-toolkit (19 stars, last pushed 23d ago), licensed MIT. It adds 109 tokens to every session and 697 once invoked, about $0.0005 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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