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CD SKILL.md

Control Home Assistant devices.

modbender/skill-library-mcp Agent Skills author: modbender MIT 28 files body ≈ 30 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Control Home Assistant devices.

As a process D 35/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ReferenceAI and agentstype 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
C
71/100
safety, quality, tests
Safety 60%
95
Quality 40%
34
Run on models
none yet
Process rating
D
35/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:133
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…wIN//F77/IADDSs58i+MDaO…jeo+YFg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:322
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…rV7+Ocb9…VUE+VuKP…3mQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:384
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…MY5+vUsR…C6y+e9rv…1Aw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:403
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…tVz+G+ogqe…TUV+SUcj…k2A==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:525
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…Ki1+FTWx…bJ0+OjgA==",
    detector

Files scanned: 28. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 35/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 25Steps. 1 steps
  • 40Consistency. Frontmatter name (SKILL.md) differs from the folder (claw-hass)
  • 100Tools and files. No external tools needed
  • 100Execution cost. Instruction body is 30 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 31: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -15SKILL.md body under 300 characters: nearly empty
  • +1No license
  • +2Single-language instructions
  • +4Structure: 3 headings

Quality base 70; lint remarks subtract, signals add up to 100. Result: 34.