# Mark Reynolds

> Use this tool when you need to securely anchor and verify documents with AI agents, solving problems of data integrity and trustworthiness by providing a self-contained proof bundle. It takes a SHA-256 hash as input and outputs a verifiable proof bundle with ML-DSA-65 signatures, allowing for offline verification. Ideal for use cases requiring long-term, vendor-agnostic data authentication and validation.

Canonical page: https://skillsregistry.net/skills/m-reynaldo35-pq-verifiable-archive  
JSON: https://api.skillsregistry.net/v1/skills/m-reynaldo35-pq-verifiable-archive

## Description

Post-quantum document anchoring for AI agents. Anchor any SHA-256 hash to
Algorand mainnet with ML-DSA-65 (NIST FIPS-204) signatures and receive a
self-contained proof bundle verifiable offline — decades from now, without
trusting any vendor.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dt6kz24z4z)
- **Repository:** <https://github.com/m-reynaldo35/pq-verifiable-archive>

## 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": "m-reynaldo35-pq-verifiable-archive"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m-reynaldo35-pq-verifiable-archive` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m-reynaldo35-pq-verifiable-archive/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