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AD cookidoo

Interact with Cookidoo (Thermomix recipe platform) via the unofficial cookidoo-api. Search recipes, manage meal planning calendar, shopping lists, collections, and custom recipes. Use when the user mentions "Cookidoo", "Thermomix recipes", "meal planning", "Wochenplan", "Einkaufsliste Thermomix", "Cookidoo Rezepte", "was kochen", or wants to manage their Thermomix/Cookidoo account programmatically.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 628 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Interact with Cookidoo (Thermomix recipe platform) via the unofficial cookidoo-api.

As a process D 42/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationPersonal productivitytype 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
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
92
Run on models
none yet
Process rating
D
42/100
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-password-literal scripts/cookidoo.py:37
      Hard-coded password / key literal (may be an example)
      CLIENT_SECRET = "Ls50…Jge"

    Files scanned: 2. 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 42/100

    • 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
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 9 mutating operations with no state check
    • 40Consistency. Frontmatter name (cookidoo) differs from the folder (cookidoo-thermomix)
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 4 steps, 1 vague phrases
    • 100Execution cost. Instruction body is 628 tokens
    • low The response is described with custom markup (3 tags): a typed call is more reliable

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 401: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 4 items
    • +4Has examples (3 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.