BC Finance Autopilot
A proactive personal finance manager for AI agents. Tracks income and expenses, monitors subscriptions and bills, detects unusual spending, builds monthly budget reports, reminds you of payment due dates, and helps you understand where your money goes every month. Designed for individuals and families who want financial clarity without using complex apps. No accounting knowledge required. Just forward your bills and receipts and talk naturally.
As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 52/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (Finance Autopilot) differs from the folder (finance-autopilot)
- 65Failures and branches. 3 branches
- 100Tools and files. No external tools needed
- 100Steps. 69 steps
- 100Execution cost. Instruction body is 2039 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 14 top-level sections: this looks like several domains in one skill
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 448: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 69 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.