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Find and cancel unwanted subscriptions by analyzing bank transactions. Detects recurring charges, calculates annual waste, and helps you cancel with direct URLs and browser automation.
Passed 10 of 22 test cases with the skill, and 4 of 22 without it.
and 6 more in the full report
7 fixed3 passed either way11 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
I've uploaded my CSV containing 40 detected monthly merchant charges. I want to categorize them all today. Should you list all 40 at once for me to review, or how will we go through them?
| Checked | Without skill | With skill |
|---|---|---|
| Groups subscription review questions into batches of 5 to 10 items. | Missed | Passed |
| Avoids presenting all 40 items in a single batch. | Passed | Passed |
The instructions your model reads when the skill loads.
Analyze transactions, categorize subscriptions, generate HTML audit, help cancel.
Option A: Plaid API (recommended — no CSV needed)
If the user has Plaid connected (check for Plaid integration/API access):
Option B: CSV Upload
Ask user for bank/card CSV export. Common sources:
Read CSV, identify recurring patterns:
For each subscription, ask user to categorize:
test cases passed, vs 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.