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AD tado

Interact with Tado smart thermostat. Use for reading temperature, setting heating with auto-revert, viewing energy usage, and controlling zones.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 431 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Interact with Tado smart thermostat.

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentWriting and documentstype 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
90/100
safety, quality, tests
Safety 60%
96
Quality 40%
81
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Exfiltration net-credential-use SKILL.md:82
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -s "https://my.tado.com/api/v2/me" -H "Authorization: Bearer $TADO_TOKEN"
      vendor-host
    • low Exfiltration net-credential-use SKILL.md:90
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -s "https://my.tado.com/api/v2/homes/$TADO_HOME_ID/zones" -H "Authorization: Bearer $TADO_TOKEN"
      vendor-host
    • low Exfiltration net-credential-use SKILL.md:96
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -s "https://my.tado.com/api/v2/homes/$TADO_HOME_ID/zones/$ZONE_ID/state" -H "Authorization: Bearer $TADO_TOKEN"
      vendor-host
    • low Exfiltration net-credential-use SKILL.md:189
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -s "https://my.tado.com/api/v2/homes/$TADO_HOME_ID/energyUsage" -H "Authorization: Bearer $TADO_TOKEN"
      vendor-host

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 43/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (tado) differs from the folder (tado-thermostat)
    • 50Steps. 2 steps
    • 100Tools and files. No external tools needed
    • 100Execution cost. Instruction body is 1431 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • low 10 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)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 144: enough signal without eating the budget
    • +4Structure: 15 headings
    • +4Has examples (16 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.