SKILLEMALL.ai
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AD milkee

Complete MILKEE accounting integration for Swiss businesses. Manage projects, customers, time tracking, tasks, and products. Use when: (1) tracking billable time with start/stop timers, (2) creating/managing projects and customers, (3) recording work entries with descriptions, (4) viewing daily time summaries. Features smart fuzzy project matching.

ClawHub Agent Skills author: xenofex7 v2.0.0 7 files body ≈ 680 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructureFinancetype 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
91/100
safety, quality, tests
Safety 60%
96
Quality 40%
83
Run on models
none yet
Process rating
D
45/100
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 Secrets in code secret-high-entropy-token INSTALLATION_GUIDE.md:22
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      **Example**: `28014|MqF8…9d2`
      quoted
    • low Secrets in code secret-high-entropy-token INSTALLATION_GUIDE.md:84
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "MILKEE_API_TOKEN": "28014|MqF8…9d2",
      quoted
    • low Secrets in code secret-high-entropy-token references/configuration.md:20
      High-entropy token-like string (may be an id, hash or a credential)
      28014|MqF8…9d2
    • low Secrets in code secret-high-entropy-token references/configuration.md:62
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      export MILKEE_API_TOKEN="28014|MqF8…9d2"
      quoted

    Files scanned: 7. 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 45/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 23 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 680 tokens
    • 100Progress reporting. Reports progress

    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)
    • +3Output format is not stated: the model decides each time
    • -42 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 350: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (5 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    The skill appears to perform the advertised MILKEE accounting integration, but it needs review because it can change business records and its documentation includes realistic API credential examples.
    LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026