SKILLEMALL.ai

AC yoooclaw-expense-tracker-en

Extract personal consumption transactions (takeaway, express delivery, payment, shopping, taxi, gas, credit card repayment, transfer, etc.) from mobile phone notifications, summarize them by category and time, and give the total amount. Trigger: How much you spent/expense/consumption/bill/expense/expenditure/this week/this month/last month/recently/today + spend/money/consumption/how much you spent on takeout/how much you spent on a taxi/how much gas you paid/how much you paid.

ClawHub Agent Skills author: vivalavida-say-hi v1.0.0 MIT-0 4 files body ≈ 2 360 tokens Open the sourceclawhub.ai analyzed 2 d ago

Extract personal consumption transactions (takeaway, express delivery, payment, shopping, taxi, gas, credit card repayment, transfer, etc.) from mobile phone…

As a process C 60/100 · Has gaps — weak spots: when it triggers, running it twice, progress reporting

ProcedureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
60/100
Has gaps
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
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 · 0

    ✓ No critical or high findings

    Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Extract personal consumption transactions (takeaway, express deliv… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 60/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 11 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Steps. 43 steps, 4 vague phrases
    • 60Result and completion. Output format stated, no completion criterion
    • 65Failures and branches. 3 branches
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2360 tokens

    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)
    • -212 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 482: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 43 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

    External checks

    ClawHub: suspicious
    This expense tracker has a coherent purpose, but it can read broad phone notification files containing sensitive financial and personal data with broad activation triggers and no explicit confirmation step.
    LLM: suspicious (medium) · VirusTotal: · 17 Jul 2026