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CB homeassistant-skill

Control Home Assistant devices and automations via REST API. 25 entity domains including lights, climate, locks, presence, weather, calendars, notifications, scripts, and more. Use when the user asks about their smart home, devices, or automations.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 5 348 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Control Home Assistant devices and automations via REST API.

As a process B 74/100 · Nearly there — weak spots: running it twice, progress reporting

IntegrationData and analyticsPersonal productivitySoftware developmenttype 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
73/100
safety, quality, tests
Safety 60%
70
Quality 40%
77
Run on models
none yet
Process rating
B
74/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
50
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Exfiltration net-credential-use README.md:82
    Credential used in a network call (verify the destination is the intended service)
    curl -s "$HA_URL/api/states" -H "Authorization: Bearer $HA_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:39
    Credential used in a network call (verify the destination is the intended service)
    curl -s "$HA_URL/api/states" -H "Authorization: Bearer $HA_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:47
    Credential used in a network call (verify the destination is the intended service)
    curl -s "$HA_URL/api/states" -H "Authorization: Bearer $HA_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:51
    Credential used in a network call (verify the destination is the intended service)
    curl -s "$HA_URL/api/states" -H "Authorization: Bearer $HA_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:55
    Credential used in a network call (verify the destination is the intended service)
    curl -s "$HA_URL/api/states" -H "Authorization: Bearer $HA_TOKEN" \
  • medium Exfiltration net-credential-use SKILL.md:65
    Credential used in a network call (verify the destination is the intended service)
    curl -s "$HA_URL/api/states/ENTITY_ID" -H "Authorization: Bearer $HA_TOKEN"

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5348 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 74/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5348 tokens
  • 85Steps. 14 steps, 3 vague phrases
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 29 top-level sections: this looks like several domains in one skill

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)
  • +2Single-language instructions
  • +3Description length 248: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 14 items
  • +3Output format is stated explicitly
  • +4Has examples (32 code blocks)
  • +1License stated

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