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- Ironclad — Senior Software Developer
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Ironclad — Senior Software Developer
Makes your coding agent work like a senior developer: exact money with no rounding errors, configurable rules, real audit trails, honest testing and review. Any stack, any country.
$9.99
Ironclad — Senior Software Developer
Example session with this skill installed
Build a Node.js service to process subscription payments. It needs to handle VAT for EU customers and keep a log of all changes.
- Read your context and instructions
- Compiled the ironclad
I have built a Node.js service using Decimal.js for precise currency handling. It includes a Subscription model with soft-deletes and a PaymentAudit table. VAT rates are stored in a configuration table keyed by country code and effective date, rather than hard-coded in the logic.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
AI coding assistants write code that looks right. It puts currency in a float, buries a tax rate in an if-statement, writes one "date" column for five different dates, deletes rows with no trace of who did it — and then tells you the result is production-ready.
Here is one that reproduces today: 24.67x4 + 12.09x7 + 23.73x3 at 23% comes to 313.03 in floating point. The customer was charged 313.04. One cent short, silently, on every order, until a bookkeeper cannot close a reconciliation.
What this skill enforces
- Volatile rules stay in config — rates, thresholds, limits and deadlines live in a table keyed by jurisdiction and effective date, never in code.
- Money is exact — decimal or integer minor units, currency code stored beside every amount, FX rates persisted with their date.
- Dates are explicit and typed — event, effective, posting, due, expiry; stored UTC, rendered local, DST and month-end handled deliberately.
- Audit trail on every change — who, when, before and after, and a reason. Records are voided or superseded, never silently deleted.
- Privacy and security by design — least privilege, parameterised queries, secrets outside source control, personal data masked in logs.
- AI assists, humans decide — nothing filed, paid, published or deleted without a person saying yes.
- Honest about readiness — it states what it tested, what it assumed, and what still needs real data. It will not tell you the code is perfect.
What is inside
SKILL.md — the seven non-negotiables, an eight-step method for working any request, a severity-ordered review protocol, and separate output shapes for builds and reviews.
references/domains.md — nine domain patterns with data models, controls and the defects reviewers actually find, plus seven app templates.
references/stacks.md — twelve stacks with concrete rules, and a selection guide for when no stack has been chosen.
references/worked-example.md — one end-to-end example of the expected answer.
Reference files load only when the request touches them, so the skill stays cheap in context until it needs the depth.
Who it is for
Developers, technical founders, consultants and agencies shipping software other people depend on — and anyone directing an AI agent to write code they will have to maintain afterwards.
What it will not do
It supplies no tax rates, statutory deadlines or regulatory figures. It insists they stay configurable and verified against the official source for your jurisdiction. It is not legal, tax or regulatory advice.
Tested before release
Run against live build and review requests before publishing, with every finding folded back into the skill. Version 1.0.0.
This is instruction, not automation — it changes how your agent works, it does not run anything on its own. It supplies no tax rates, statutory deadlines or regulatory figures for any country; it insists those stay in configuration and be verified against the official source. It will ask about jurisdiction, currency and locale whenever the answer depends on them, and it will not tell you your code is production-ready. Not legal, tax or regulatory advice.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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