# assay

> assay — rul1an-assay. Use this tool when you need to enforce deterministic policies and verify trust in agent systems. It solves problems of uncertain policy enforcement and unverifiable evidence by generating reviewable trust artifacts and evidence bundles. The assay tool takes in policy definitions and system data as inputs and outputs verifiable evidence bundles and trust artifacts, ideal for use cases requiring transparent and auditable trust management in complex systems.

Canonical page: https://skillsregistry.net/skills/rul1an-assay  
JSON: https://api.skillsregistry.net/v1/skills/rul1an-assay

## Description

Open evidence profile for MCP tool actions. Enforce configured tool-call policies and record decisions and observations in offline-verifiable bundles. Optional Linux kernel controls. No hosted backend required.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Rul1an/assay)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rul1an-assay"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rul1an-assay` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rul1an-assay/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt