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AF cncf-landscape

Use this skill when discovering and comparing cloud-native technologies from the CNCF Landscape for an architecture or engineering decision. Query the live public Landscape API, filter candidates by capability, category, maturity, license, and repository signals, then produce an evidence-backed shortlist with trade-offs, unknowns, and validation steps. Do not use it as a substitute for project documentation, production-readiness testing, legal review, or general architecture methodology.

magnus919/agent-skills Agent Skills author: magnus919 MIT 9 files · 2 scripts body ≈ 2 048 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Query the live public Landscape API, filter candidates by capability, category, maturity, license, and repository signals, then produce an evidence-backed…

As a process F 55/100 · Will not run — References files that are not bundled: ../technology-radar/SKILL.md

IntegrationSoftware developmentWriting and documentsResearchtype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
F
55/100
Will not run
References files that are not bundled: ../technology-radar/SKILL.md
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
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
  • 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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../technology-radar/SKILL.md

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: ../technology-radar/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../technology-radar/SKILL.md
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2048 tokens
  • low No test case covers injection arriving through data

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
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 492: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.