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AC organizze

Runs Organizze personal finance API operations via Node.js CLI scripts: accounts, categories, transactions (filters, tag grouping), credit cards (invoices, payments), and transfers. Use when the user works with Organizze, budgets, expenses, income, categories, bank accounts, credit card bills, transfers, or asks to query or change their Organizze data through the terminal.

ClawHub Agent Skills author: Felipe Leão v1.3.4 MIT-0 14 files body ≈ 1 587 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 62/100 · Has gaps — weak spots: result and completion, consistency

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
92/100
safety, quality, tests
Safety 60%
98
Quality 40%
82
Run on models
none yet
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Consistency w 8
40
Failures and branches w 10
50
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration read-dotenv README.md:18
      Reads a .env file
      cp .env.example .env
    • low Exfiltration read-dotenv src/credentials.js:11
      Reads a .env file (detector / deny-list definition)
      'Copy .env.example to .env and fill in your credentials.'
      detector

    Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "credentials"
    • note frontmatter-key unknown frontmatter key "env"

    Process rating: all ten parameters 62/100

    • 0Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (organizze) differs from the folder (organizze-skill)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 13 steps
    • 100Execution cost. Instruction body is 1587 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 11 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (14 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

    • +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
    • +1No license
    • +2Single-language instructions
    • +3Description length 375: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (12 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    This appears to be a legitimate Organizze finance CLI, but it gives an agent broad ability to change or delete live financial records without clear confirmation safeguards.
    LLM: suspicious (high) · 28 May 2026