Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add auzroz/ynab-mcp --skill ynab-irregular-income-plannergit clone --depth 1 https://github.com/auzroz/ynab-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/auzroz/ynab-mcp/ynab-irregular-income-planner)<a href="https://agentmods.dev/skills/auzroz/ynab-mcp/ynab-irregular-income-planner"><img src="https://agentmods.dev/badge/skills/auzroz/ynab-mcp/ynab-irregular-income-planner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/auzroz/ynab-mcp/ynab-irregular-income-planner"><img src="https://agentmods.dev/badge/skills/auzroz/ynab-mcp/ynab-irregular-income-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.00823 |
| Opus 5 | $0.00043 | $0.00411 |
| Sonnet 5 | $0.00017 | $0.00165 |
| Haiku 4.5 | $0.00009 | $0.00082 |
Grade A, and why
ynab-irregular-income-planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YNAB Irregular Income Planner
What this does
Teaches YNAB's specific approach to variable income: budget only money already received, never projected income. Walks through calculating an average monthly expense baseline, capping spending to that baseline even in high-earning months, and rolling the surplus forward — sometimes called "paying yourself a salary."
When to use this skill
- "My income is different every month"
- "I'm a freelancer, how do I budget?"
- "I don't know how much I'll make next month"
- "How do I stop overspending in good months?"
- "How does budgeting work without a steady paycheck?"
Should NOT trigger on: measuring an existing cash cushion (use
ynab-age-of-money) — this skill is about designing the income structure,
not diagnosing current health.
Workflow
Step 1: Establish the core rule
Budget only money that has already arrived — never forecast or budget against an expected future payment. This is the opposite instinct from most income-planning advice, so it's worth stating explicitly and explaining why: forecasted income that doesn't arrive on schedule is what causes variable earners to overspend into a shortfall.
Step 2 (if MCP-connected): Establish a baseline
Call MCP tool: ynab_income_expense — pull several months of actual income/expense history
Call MCP tool: ynab_quick_summary — current Ready to Assign state
If not connected, ask the person for their lowest 2-3 months of income over the last year as a rough floor.
Step 3: Set the spending baseline
Calculate an average monthly expense baseline from real spending, then cap monthly spending to that baseline regardless of how much came in that specific month. In high-earning months, the surplus is assigned forward to future months' categories, not spent — this is the "pay yourself a salary" pattern.
Step 4: Set a larger buffer target
Because income is less predictable, recommend a larger emergency/buffer
target than a steady-paycheck household — 6-12 months of expenses versus
the standard 3-6 months. Point to ynab-emergency-fund-builder for the
staged plan to get there.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 92 lines · 86 tokens per session scan A 0757d711bc33
ynab-irregular-income-planner is a skill published in the GitHub repository auzroz/ynab-mcp (3 stars, last pushed 2mo ago), licensed MIT. It adds 86 tokens to every session and 823 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
stripe-link-wallet
Agent wallet on the Stripe Link CLI (link-cli). Connect the wallet, then buy, purchase and pay for things on the user's behalf via approved spend requests, one-time-use cards, and 402 / Machine Payment Protocol (MPP) payments.
stock-analysis-lead
Orchestrate a US-stock investment analysis — classify sector archetype, fetch SEC filings, dispatch a tiered fan-out of six vertical equity-research agents (business model, earnings quality, balance sheet, management, industry, peer comparison) over a validated JSON findings contract, then synthesize a buy/hold/sell…
stock-business-review
Review a US-listed company's business model and revenue structure for an equity-research workup. Covers product/service mix, customer concentration, geographic exposure, industry position, revenue-growth decomposition (organic vs acquired vs price vs volume), and information-tier discipline (which numbers are facts vs…
stock-earnings-quality-review
Review a US-listed company's earnings quality, cash-flow integrity, and operating leverage for an equity-research workup. Covers operating cash flow vs net income drift, free cash flow trajectory, capex character (maintenance vs expansion), equity issuance / shareholder-return yield, revenue-quality signals…
stock-balance-sheet-review
Review a US-listed company's balance sheet health for an equity-research workup. Covers net-debt/EBITDA leverage, current ratio, cash runway, goodwill concentration and impairment history, DSO trend, inventory days, off-balance-sheet items (operating leases, contingent liabilities), and pension underfunding. Trigger…
stock-industry-review
Review a US-listed company's industry position and competitive moat for an equity-research workup. Covers Porter Five Forces scan, market-share trend (absolute and relative to industry growth), TAM size and trajectory, unit economics where disclosed (LTV/CAC, unit gross margin), moat classification (network / brand /…