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AF docker-containerization

This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms. Ideal for Next.js, React, Node.js applications requiring containerization for development, production, or CI/CD pipelines. Use this skill when users need Docker configurations, multi-stage builds, container orchestration, or deployment to Kubernetes, ECS, Cloud Run, etc.

modbender/skill-library-mcp Agent Skills author: modbender MIT 10 files · 4 scripts body ≈ 2 074 tokens Open the sourcegithub.com↗ analyzed 3 d ago

This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to…

As a process F 35/100 · Will not run — References files that are not bundled: assets/Dockerfile.production, assets/Dockerfile.development, assets/Dockerfile.nginx

GeneratorDockerKubernetesAWSGitHubInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: assets/Dockerfile.production, assets/Dockerfile.development, assets/Dockerfile.nginx
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/Dockerfile.production
  • warning missing-ref reference to a missing file: assets/Dockerfile.development
  • warning missing-ref reference to a missing file: assets/Dockerfile.nginx
  • warning missing-ref reference to a missing file: assets/.dockerignore

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/Dockerfile.production, assets/Dockerfile.development, assets/Dockerfile.nginx
  • 0Tools and files. 4 referenced file(s) missing: assets/Dockerfile.production, assets/Dockerfile.development, assets/Dockerfile.nginx
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 25 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 76 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2074 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -216 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 442: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 76 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.