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Assay

by LifeOS

Assertion-first eval framework: code asserts, calibrated judges, pass@k, A/B comparison, agentic evals, judgment-layer question systems and code-extract-decide-write pipelines. USE WHEN eval, evaluate, benchmark, judge, judge prompt, judge panel, regression test, assert, llm-rubric, calibrate judge, judged residue, pass@k, pass^k, grade output, compare prompts or models, A/B test, which model did we like, model retro, ablation, with/without, test agent, agentic eval, noul/choice/score question, glance row, judged miss, proof this, check the output, did it come out as asked, design judgment questions, question system, design a pipeline, extract values, Clairic, LLM-only baseline, judgment layer status/report/tune, is this caller ready to enforce. NOT FOR scientific-method framing (Science), property/mutation testing (Hardening), live UI verification (Interceptor), non-eval prompts (Prompting), TypeSafe apps outside LifeOS (typesafe-ai).

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Install this skill

Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.

npx @skills-hub-ai/cli install lifeos-assay
Or download directly:
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Setup by platform

Claude Code

~/.claude/skills/<skill>/SKILL.md

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Install

One-click setup for your editor

Run in your project root

npx @skills-hub-ai/cli install lifeos-assay --target claude-code
0

Instructions

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Frequently asked questions about Assay

What does the Assay skill do?

Assertion-first eval framework: code asserts, calibrated judges, pass@k, A/B comparison, agentic evals, judgment-layer question systems and code-extract-decide-write pipelines. USE WHEN eval, evaluate, benchmark, judge, judge prompt, judge panel, regression test, assert, llm-rubric, calibrate judge, judged residue, pass@k, pass^k, grade output, compare prompts or models, A/B test, which model did we like, model retro, ablation, with/without, test agent, agentic eval, noul/choice/score question, glance row, judged miss, proof this, check the output, did it come out as asked, design judgment questions, question system, design a pipeline, extract values, Clairic, LLM-only baseline, judgment layer status/report/tune, is this caller ready to enforce. NOT FOR scientific-method framing (Science), property/mutation testing (Hardening), live UI verification (Interceptor), non-eval prompts (Prompting), TypeSafe apps outside LifeOS (typesafe-ai). It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.

How do I install the Assay skill?

Run `npx @skills-hub-ai/cli install lifeos-assay` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/lifeos-assay/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

Which AI tools does Assay work with?

Assay runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Is the Assay skill free?

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

How do I use Assay after installing it?

In Claude Code, type `/lifeos-assay` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Can I share the Assay skill with my team?

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.