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 StefanTheCode/dotnet-ai-toolkit --skill dockerfile-generatorgit clone --depth 1 https://github.com/StefanTheCode/dotnet-ai-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/stefanthecode/dotnet-ai-toolkit/dockerfile-generator)<a href="https://agentmods.dev/skills/stefanthecode/dotnet-ai-toolkit/dockerfile-generator"><img src="https://agentmods.dev/badge/skills/stefanthecode/dotnet-ai-toolkit/dockerfile-generator/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/stefanthecode/dotnet-ai-toolkit/dockerfile-generator"><img src="https://agentmods.dev/badge/skills/stefanthecode/dotnet-ai-toolkit/dockerfile-generator.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 | $0.00109 | $0.00697 |
| Opus 5.5 | $0.00044 | $0.00279 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (26 stars, last pushed 2mo ago), licensed MIT. It adds 109 tokens to every session and 697 once invoked, about $0.0004 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 2026-08-30.
dockerfile-generator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dockerfile-generatorStefanTheCode/dotnet-ai-toolkit | Skill | 26 | 2mo ago | MIT | A | 109 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |