ironclad

Run tests after each code change and produce logs as evidence.

Updated Feb 23, 2026
One-click install
npx skills add https://github.com/mcevoyinit/agentic-skills --skill ironclad
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ironclad
Source: https://github.com/mcevoyinit/agentic-skills/tree/main/skills/coding-modes/ironclad
Command: npx skills add https://github.com/mcevoyinit/agentic-skills --skill ironclad

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Verifies coding tasks end-to-end and prevents premature declarations of completion by requiring full proofs and evidence.

Core Features & Use Cases

  • Enforces a rigorous verification loop after every change, ensuring you never ship with unproven results.
  • Produces concrete evidence (tests, logs, and outputs) to demonstrate correctness.
  • Scales from small scripts to complex workflows, applicable wherever strong guarantees are required.

Quick Start

Activate ironclad mode and begin by running tasks end-to-end to produce verifiable proof outputs.

Frequently Asked Questions about ironclad

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate end-to-end verification to prevent shipping incomplete code?

Automate end-to-end verification by enforcing a run-after-change loop that executes tests after every modification, producing concrete output evidence like logs to prevent premature completion declarations.

What is end-to-end proof in software testing and when do I need it?

End-to-end proof is concrete validation evidence, such as test results and logs, demonstrating complete correctness. You need it when coding tasks require full validation and strong guarantees before declaring done.

Can I use automated verification loops for both small scripts and complex workflows?

Yes, automated verification loops scale from small scripts to complex workflows. The process enforces testing after each modification and presents concrete output evidence wherever strong guarantees are required.

How do I stop premature declarations of completion during coding tasks?

Stop premature declarations of completion by requiring full proofs and evidence. Enforce a rigorous verification loop after every change to produce concrete outputs demonstrating actual correctness.

What is the best way to verify coding tasks end-to-end with concrete evidence?

The best way to verify coding tasks end-to-end is to activate a verification mode that runs tests after each modification, presenting concrete output evidence like logs to prove correctness.

Why does running tests only at the end of a task fail to provide verifiable proof?

Running tests only at the end fails to provide verifiable proof because it skips the run-after-change loop, missing intermediate validation and risking unproven results slipping through into the final output.